Launch accounting-facing CFO HRM demo

Public static Space with the EIL5 guide front and center, browser-side ONNX inference, fictional reconciliation cases, and explicit human-review controls.

EIL5.md

@@ -0,0 +1,327 @@
+# Training Specialized HRMs, Explained Like You Are Five
+
+Think of an HRM as a child learning to solve little boxes of accounting
+puzzles.
+
+Each training example is one box containing:
+
+1. The puzzle pieces.
+2. The rules for which pieces may fit together.
+3. The correct answer.
+4. Any special reason the puzzle needs adult review.
+
+The HRM studies thousands of solved boxes and learns how to solve new ones.
+
+## The basic dataset shape
+
+Do not think of the dataset as one enormous spreadsheet where every row is
+unrelated. It should be a collection of complete cases:
+
+```text
+Case 1
+├── Company and accounting period
+├── Input records
+├── Possible relationships
+└── Correct answer
+
+Case 2
+├── Company and accounting period
+├── Input records
+├── Possible relationships
+└── Correct answer
+```
+
+In our bank-reconciliation model, one case looks like:
+
+```text
+Input:
+  20 bank transactions
+  19 general-ledger entries
+
+Correct answer:
+  Bank row 1 → GL row 8
+  Bank row 2 → GL row 3
+  Bank row 3 → unmatched bank fee
+  ...
+```
+
+The entire group is one example because the model must reason globally: two
+bank transactions cannot both consume the same GL entry.
+
+## Example: accounts-payable matching
+
+Suppose we want an HRM that performs invoice-to-purchase-order matching.
+
+A human-readable training example could look like this:
+
+```json
+{
+  "case_id": "AP-2025-0042",
+  "as_of_date": "2025-10-31",
+  "context": {
+    "company": "COMPANY_A",
+    "currency": "USD"
+  },
+  "inputs": {
+    "invoice": {
+      "invoice_id": "INV-104",
+      "vendor": "VENDOR_17",
+      "invoice_date": "2025-10-14",
+      "total_cents": 125000,
+      "description": "Office chairs"
+    },
+    "purchase_orders": [
+      {
+        "po_id": "PO-88",
+        "vendor": "VENDOR_17",
+        "total_cents": 125000,
+        "description": "20 office chairs"
+      },
+      {
+        "po_id": "PO-91",
+        "vendor": "VENDOR_17",
+        "total_cents": 140000,
+        "description": "Office desks"
+      }
+    ],
+    "receipts": [
+      {
+        "receipt_id": "REC-31",
+        "po_id": "PO-88",
+        "quantity_received": 20
+      }
+    ]
+  },
+  "answer": {
+    "purchase_order": "PO-88",
+    "receipts": ["REC-31"],
+    "disposition": "MATCH",
+    "exception": "NONE"
+  }
+}
+```
+
+That example teaches the model:
+
+> Invoice `INV-104` belongs to `PO-88` and receipt `REC-31`.
+
+An exception example might instead say:
+
+```json
+{
+  "answer": {
+    "purchase_order": "PO-88",
+    "receipts": ["REC-31"],
+    "disposition": "REVIEW",
+    "exception": "PRICE_VARIANCE"
+  }
+}
+```
+
+Now it learns both matching and exception handling.
+
+## What the model actually sees
+
+The data adapter turns the readable records into arrays:
+
+```text
+Invoice features:
+  amount, date, vendor, currency, description
+
+PO features:
+  amount, date, vendor, currency, description
+
+Candidate mask:
+  PO-88 is allowed
+  PO-91 is allowed
+  unrelated-company POs are forbidden
+
+Answer:
+  correct candidate index = PO-88
+  exception class = NONE
+```
+
+In tensor terms:
+
+```text
+input rows       [cases, maximum rows, features]
+candidate mask   [cases, invoice rows, PO rows]
+match targets    [cases, invoice rows]
+exception target [cases, invoice rows]
+padding masks    [cases, maximum rows]
+```
+
+Padding lets one case contain 10 records and another contain 20 while still
+fitting into fixed-size batches.
+
+## Examples for other CFO specialists
+
+| Specialist | Puzzle pieces | Correct answer |
+| --- | --- | --- |
+| AP matching | Invoices, PO lines, receipts | Which records match and why review is needed |
+| Intercompany | Due-to and due-from entries | Correct counterparty pairs and elimination group |
+| Journal review | Journal lines, accounts, policy context | Accept, review, or reject; violated control |
+| Expense audit | Expense, receipt, employee, policy | Valid, duplicate, missing receipt, policy violation |
+| Close management | Tasks, dependencies, status, owners | Next task, correct order, blocker category |
+| Revenue recognition | Contract, invoice, delivery, obligations | Allocation and recognition schedule |
+| Variance analysis | Actuals, budget, operational drivers | Driver classification and materiality |
+| Cash forecasting | Historical and scheduled cash flows | Future cash balances and uncertainty bands |
+
+HRMs are especially attractive when there are several related records,
+multi-step reasoning, global constraints, and an answer you can objectively
+check.
+
+For ordinary forecasting, traditional time-series and regression baselines may
+still be better. An HRM should have to beat those baselines.
+
+## How to create a new specialist
+
+### 1. Define the puzzle
+
+Write down exactly:
+
+```text
+What information is available before the decision?
+What answer should the model produce?
+What rules must never be violated?
+When should it abstain and ask a human?
+```
+
+If you cannot define the correct answer precisely, you cannot train the model
+reliably.
+
+### 2. Find trustworthy answers
+
+Good labels come from:
+
+- approved reconciliations;
+- finalized invoice matches;
+- controller-reviewed journal decisions;
+- completed close workflows;
+- resolved exceptions; or
+- carefully generated synthetic cases.
+
+Avoid using unreviewed historical decisions as truth. Historical accounting
+records can contain mistakes.
+
+### 3. Separate inputs from answers
+
+Never accidentally show the model the answer inside its input.
+
+For example, do not give it:
+
+```json
+{
+  "matched_po_id": "PO-88"
+}
+```
+
+as an input when `PO-88` is the answer.
+
+Other dangerous leakage fields include:
+
+- final reconciliation status;
+- approval timestamp;
+- payment created from the matched invoice;
+- exception resolution code;
+- downstream journal-entry ID; and
+- fields populated only after review.
+
+### 4. Include difficult and rare cases
+
+A useful dataset needs more than ordinary matches:
+
+```text
+Exact matches
+Small amount differences
+Date differences
+Missing references
+Duplicate invoices
+Partial receipts
+Split payments
+Aggregated payments
+Currency differences
+Reversals
+Wrong entities
+Unmatched records
+Policy exceptions
+Ambiguous cases requiring review
+```
+
+If the model never sees duplicate invoices during training, it will not
+magically understand duplicate invoices later.
+
+### 5. Split by time
+
+A safe split looks like:
+
+```text
+Train:      January 2023 – June 2025
+Validation: July 2025 – September 2025
+Test:       October 2025 – December 2025
+```
+
+Do not randomly put almost-identical records from the same transaction into
+both training and testing. That lets the model memorize instead of reason.
+
+For an even harder test, hold out an entire company, vendor group, or accounting
+system.
+
+### 6. Build an adapter and output head
+
+You usually cannot point our current model at a new CSV and expect it to work.
+
+The existing model has outputs specifically designed for:
+
+- bank-to-GL pair scores;
+- unmatched scores; and
+- six reconciliation exception classes.
+
+For AP matching, we could reuse much of the architecture and replace the row
+types and exception classes.
+
+For close planning, we would need a different output head that predicts next
+actions or task order.
+
+For forecasting, we would need a numerical prediction head and a different
+loss function.
+
+## A practical folder format
+
+A clean specialist dataset could use:
+
+```text
+ap-matching/
+├── schema.json
+├── train.jsonl
+├── validation.jsonl
+├── test.jsonl
+└── manifest.json
+```
+
+Each line in `train.jsonl` is one complete case, not one invoice row.
+
+The manifest records:
+
+```json
+{
+  "dataset_version": "1.0",
+  "created_at": "2026-07-23",
+  "source_system": "anonymized-read-only-export",
+  "train_period": ["2023-01", "2025-06"],
+  "validation_period": ["2025-07", "2025-09"],
+  "test_period": ["2025-10", "2025-12"],
+  "currencies": ["USD"],
+  "label_method": "controller-approved final disposition"
+}
+```
+
+The simplest rule is:
+
+> One example should contain everything needed to solve one complete accounting
+> puzzle, followed by an answer key created from a trustworthy outcome.
+
+For multiple specialists, give each HRM its own dataset and answer type. Then
+connect their proposals through the typed Go control layer instead of mixing AP,
+forecasting, reconciliation, and close-management records into one
+undifferentiated training file.

README.md

@@ -1,10 +1,364 @@
 ---
-title: Cfo Hrm Accounting Lab
-emoji: 😻
-colorFrom: purple
-colorTo: indigo
+title: CFO HRM · Reconciliation Review
+emoji: 🧾
+colorFrom: gray
+colorTo: yellow
 sdk: static
-pinned: false
+app_file: index.html
+short_description: Bank reconciliation reasoning for accounting teams
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# Training Specialized HRMs, Explained Like You Are Five
+
+This is a working bank-reconciliation demonstration for accounting teams. It
+runs a browser-ready ONNX export of the
+[released CFO-HRM checkpoint](https://huggingface.co/aznatkoiny/cfo-hrm), not a
+scripted mock-up, against fictional accounting cases. The calculation happens
+inside your browser: records are not uploaded or processed by a server. It
+produces proposals for a person to review. It cannot post a journal entry, move
+money, approve a reconciliation, or make an autonomous financial decision.
+
+[MODEL + RESULTS](https://huggingface.co/aznatkoiny/cfo-hrm) ·
+[SOURCE + CONTROLS](https://github.com/Aznatkoiny/cfo-hrm)
+
+Think of an HRM as a child learning to solve little boxes of accounting
+puzzles.
+
+Each training example is one box containing:
+
+1. The puzzle pieces.
+2. The rules for which pieces may fit together.
+3. The correct answer.
+4. Any special reason the puzzle needs adult review.
+
+The HRM studies thousands of solved boxes and learns how to solve new ones.
+
+## The basic dataset shape
+
+Do not think of the dataset as one enormous spreadsheet where every row is
+unrelated. It should be a collection of complete cases:
+
+```text
+Case 1
+├── Company and accounting period
+├── Input records
+├── Possible relationships
+└── Correct answer
+
+Case 2
+├── Company and accounting period
+├── Input records
+├── Possible relationships
+└── Correct answer
+```
+
+In our bank-reconciliation model, one case looks like:
+
+```text
+Input:
+  20 bank transactions
+  19 general-ledger entries
+
+Correct answer:
+  Bank row 1 → GL row 8
+  Bank row 2 → GL row 3
+  Bank row 3 → unmatched bank fee
+  ...
+```
+
+The entire group is one example because the model must reason globally: two
+bank transactions cannot both consume the same GL entry.
+
+## Example: accounts-payable matching
+
+Suppose we want an HRM that performs invoice-to-purchase-order matching.
+
+A human-readable training example could look like this:
+
+```json
+{
+  "case_id": "AP-2025-0042",
+  "as_of_date": "2025-10-31",
+  "context": {
+    "company": "COMPANY_A",
+    "currency": "USD"
+  },
+  "inputs": {
+    "invoice": {
+      "invoice_id": "INV-104",
+      "vendor": "VENDOR_17",
+      "invoice_date": "2025-10-14",
+      "total_cents": 125000,
+      "description": "Office chairs"
+    },
+    "purchase_orders": [
+      {
+        "po_id": "PO-88",
+        "vendor": "VENDOR_17",
+        "total_cents": 125000,
+        "description": "20 office chairs"
+      },
+      {
+        "po_id": "PO-91",
+        "vendor": "VENDOR_17",
+        "total_cents": 140000,
+        "description": "Office desks"
+      }
+    ],
+    "receipts": [
+      {
+        "receipt_id": "REC-31",
+        "po_id": "PO-88",
+        "quantity_received": 20
+      }
+    ]
+  },
+  "answer": {
+    "purchase_order": "PO-88",
+    "receipts": ["REC-31"],
+    "disposition": "MATCH",
+    "exception": "NONE"
+  }
+}
+```
+
+That example teaches the model:
+
+> Invoice `INV-104` belongs to `PO-88` and receipt `REC-31`.
+
+An exception example might instead say:
+
+```json
+{
+  "answer": {
+    "purchase_order": "PO-88",
+    "receipts": ["REC-31"],
+    "disposition": "REVIEW",
+    "exception": "PRICE_VARIANCE"
+  }
+}
+```
+
+Now it learns both matching and exception handling.
+
+## What the model actually sees
+
+The data adapter turns the readable records into arrays:
+
+```text
+Invoice features:
+  amount, date, vendor, currency, description
+
+PO features:
+  amount, date, vendor, currency, description
+
+Candidate mask:
+  PO-88 is allowed
+  PO-91 is allowed
+  unrelated-company POs are forbidden
+
+Answer:
+  correct candidate index = PO-88
+  exception class = NONE
+```
+
+In tensor terms:
+
+```text
+input rows       [cases, maximum rows, features]
+candidate mask   [cases, invoice rows, PO rows]
+match targets    [cases, invoice rows]
+exception target [cases, invoice rows]
+padding masks    [cases, maximum rows]
+```
+
+Padding lets one case contain 10 records and another contain 20 while still
+fitting into fixed-size batches.
+
+## Examples for other CFO specialists
+
+| Specialist | Puzzle pieces | Correct answer |
+| --- | --- | --- |
+| AP matching | Invoices, PO lines, receipts | Which records match and why review is needed |
+| Intercompany | Due-to and due-from entries | Correct counterparty pairs and elimination group |
+| Journal review | Journal lines, accounts, policy context | Accept, review, or reject; violated control |
+| Expense audit | Expense, receipt, employee, policy | Valid, duplicate, missing receipt, policy violation |
+| Close management | Tasks, dependencies, status, owners | Next task, correct order, blocker category |
+| Revenue recognition | Contract, invoice, delivery, obligations | Allocation and recognition schedule |
+| Variance analysis | Actuals, budget, operational drivers | Driver classification and materiality |
+| Cash forecasting | Historical and scheduled cash flows | Future cash balances and uncertainty bands |
+
+HRMs are especially attractive when there are several related records,
+multi-step reasoning, global constraints, and an answer you can objectively
+check.
+
+For ordinary forecasting, traditional time-series and regression baselines may
+still be better. An HRM should have to beat those baselines.
+
+## How to create a new specialist
+
+### 1. Define the puzzle
+
+Write down exactly:
+
+```text
+What information is available before the decision?
+What answer should the model produce?
+What rules must never be violated?
+When should it abstain and ask a human?
+```
+
+If you cannot define the correct answer precisely, you cannot train the model
+reliably.
+
+### 2. Find trustworthy answers
+
+Good labels come from:
+
+- approved reconciliations;
+- finalized invoice matches;
+- controller-reviewed journal decisions;
+- completed close workflows;
+- resolved exceptions; or
+- carefully generated synthetic cases.
+
+Avoid using unreviewed historical decisions as truth. Historical accounting
+records can contain mistakes.
+
+### 3. Separate inputs from answers
+
+Never accidentally show the model the answer inside its input.
+
+For example, do not give it:
+
+```json
+{
+  "matched_po_id": "PO-88"
+}
+```
+
+as an input when `PO-88` is the answer.
+
+Other dangerous leakage fields include:
+
+- final reconciliation status;
+- approval timestamp;
+- payment created from the matched invoice;
+- exception resolution code;
+- downstream journal-entry ID; and
+- fields populated only after review.
+
+### 4. Include difficult and rare cases
+
+A useful dataset needs more than ordinary matches:
+
+```text
+Exact matches
+Small amount differences
+Date differences
+Missing references
+Duplicate invoices
+Partial receipts
+Split payments
+Aggregated payments
+Currency differences
+Reversals
+Wrong entities
+Unmatched records
+Policy exceptions
+Ambiguous cases requiring review
+```
+
+If the model never sees duplicate invoices during training, it will not
+magically understand duplicate invoices later.
+
+### 5. Split by time
+
+A safe split looks like:
+
+```text
+Train:      January 2023 – June 2025
+Validation: July 2025 – September 2025
+Test:       October 2025 – December 2025
+```
+
+Do not randomly put almost-identical records from the same transaction into
+both training and testing. That lets the model memorize instead of reason.
+
+For an even harder test, hold out an entire company, vendor group, or accounting
+system.
+
+### 6. Build an adapter and output head
+
+You usually cannot point our current model at a new CSV and expect it to work.
+
+The existing model has outputs specifically designed for:
+
+- bank-to-GL pair scores;
+- unmatched scores; and
+- six reconciliation exception classes.
+
+For AP matching, we could reuse much of the architecture and replace the row
+types and exception classes.
+
+For close planning, we would need a different output head that predicts next
+actions or task order.
+
+For forecasting, we would need a numerical prediction head and a different
+loss function.
+
+## A practical folder format
+
+A clean specialist dataset could use:
+
+```text
+ap-matching/
+├── schema.json
+├── train.jsonl
+├── validation.jsonl
+├── test.jsonl
+└── manifest.json
+```
+
+Each line in `train.jsonl` is one complete case, not one invoice row.
+
+The manifest records:
+
+```json
+{
+  "dataset_version": "1.0",
+  "created_at": "2026-07-23",
+  "source_system": "anonymized-read-only-export",
+  "train_period": ["2023-01", "2025-06"],
+  "validation_period": ["2025-07", "2025-09"],
+  "test_period": ["2025-10", "2025-12"],
+  "currencies": ["USD"],
+  "label_method": "controller-approved final disposition"
+}
+```
+
+The simplest rule is:
+
+> One example should contain everything needed to solve one complete accounting
+> puzzle, followed by an answer key created from a trustworthy outcome.
+
+For multiple specialists, give each HRM its own dataset and answer type. Then
+connect their proposals through the typed Go control layer instead of mixing AP,
+forecasting, reconciliation, and close-management records into one
+undifferentiated training file.
+
+---
+
+## Demonstration and licensing notes
+
+- Every transaction shown by this Space is fictional. The demonstration does
+  not ask for uploads or send accounting records to a processing server.
+- Reconciliation inference runs inside the visitor's browser using an ONNX
+  export of the released checkpoint.
+- The checkpoint is real and its output is probabilistic. A correct-looking
+  proposal is not evidence that a reconciliation is complete or approved.
+- The interface ends at human review. It has no posting credentials or
+  connection to an accounting system.
+- The source code is Apache-2.0. The released weights were trained with
+  Mindweave data licensed under CC BY-NC 4.0 and are released under CC BY-NC
+  4.0 for non-commercial learning and research.

SHA256SUMS

@@ -0,0 +1 @@
+912502b6a5ef711b6aacdce00cb4f48fbdf43c451f93a81a6ab93e4beda23ccb  model/cfo_hrm.onnx

app.js

@@ -0,0 +1,490 @@
+const ORT_VERSION = "1.27.0";
+const MODEL_PATH = "./model/cfo_hrm.onnx";
+const CASES_PATH = "./demo_cases.json";
+const GUIDE_PATH = "./EIL5.md";
+
+const EXCEPTION_NAMES = [
+  "MATCHED",
+  "UNMATCHED",
+  "BANK FEE",
+  "DUPLICATE",
+  "TIMING",
+  "REVIEW",
+];
+
+const state = {
+  cases: [],
+  session: null,
+};
+
+const elements = {
+  caseSelect: document.querySelector("#case-select"),
+  caseTitle: document.querySelector("#case-title"),
+  caseDescription: document.querySelector("#case-description"),
+  casePeriod: document.querySelector("#case-period"),
+  threshold: document.querySelector("#threshold"),
+  thresholdValue: document.querySelector("#threshold-value"),
+  runButton: document.querySelector("#run-review"),
+  modelStatus: document.querySelector("#model-status"),
+  demoOutput: document.querySelector("#demo-output"),
+  reviewStatus: document.querySelector("#review-status"),
+  summaryCards: document.querySelector("#summary-cards"),
+  proposalRows: document.querySelector("#proposal-rows"),
+  bankRows: document.querySelector("#bank-rows"),
+  glRows: document.querySelector("#gl-rows"),
+  guide: document.querySelector("#guide-content"),
+};
+
+function escapeHtml(value) {
+  return String(value)
+    .replaceAll("&", "&")
+    .replaceAll("<", "&lt;")
+    .replaceAll(">", "&gt;")
+    .replaceAll('"', "&quot;")
+    .replaceAll("'", "&#039;");
+}
+
+function formatMoney(value, currency = "USD") {
+  return new Intl.NumberFormat("en-US", {
+    style: "currency",
+    currency,
+    minimumFractionDigits: 2,
+  }).format(Number(value));
+}
+
+function formatPercent(value) {
+  return `${(Number(value) * 100).toFixed(1)}%`;
+}
+
+async function loadGuide() {
+  try {
+    const response = await fetch(GUIDE_PATH);
+    if (!response.ok) throw new Error(`Guide request failed: ${response.status}`);
+    const markdown = await response.text();
+    if (!window.marked) throw new Error("Markdown renderer did not load");
+    window.marked.use({ gfm: true, breaks: false });
+    elements.guide.innerHTML = window.marked.parse(markdown);
+  } catch (error) {
+    elements.guide.innerHTML = `
+      <p class="error-copy">The guide could not be rendered in this browser.</p>
+      <p><a href="${GUIDE_PATH}">Open the original EIL5.md file →</a></p>
+      <p class="microcopy">${escapeHtml(error.message)}</p>
+    `;
+  }
+}
+
+async function loadCases() {
+  const response = await fetch(CASES_PATH);
+  if (!response.ok) throw new Error(`Demo cases request failed: ${response.status}`);
+  const payload = await response.json();
+  state.cases = payload.cases ?? [];
+  if (state.cases.length === 0) throw new Error("No demo cases were packaged");
+
+  elements.caseSelect.replaceChildren(
+    ...state.cases.map((item) => {
+      const option = document.createElement("option");
+      option.value = item.id;
+      option.textContent = item.label;
+      return option;
+    }),
+  );
+  renderCaseNote();
+}
+
+function selectedCase() {
+  return state.cases.find((item) => item.id === elements.caseSelect.value) ?? state.cases[0];
+}
+
+function renderCaseNote() {
+  const item = selectedCase();
+  if (!item) return;
+  elements.caseTitle.textContent = item.label;
+  elements.caseDescription.textContent = item.description;
+  elements.casePeriod.textContent = item.period;
+}
+
+async function ensureModel() {
+  if (state.session) return state.session;
+  if (!window.ort) throw new Error("ONNX Runtime Web did not load");
+
+  elements.modelStatus.textContent = "LOADING CHECKPOINT / FIRST RUN ONLY";
+  window.ort.env.wasm.numThreads = 1;
+  window.ort.env.wasm.proxy = false;
+  window.ort.env.wasm.wasmPaths =
+    `https://cdn.jsdelivr.net/npm/onnxruntime-web@${ORT_VERSION}/dist/`;
+
+  state.session = await window.ort.InferenceSession.create(MODEL_PATH, {
+    executionProviders: ["wasm"],
+    graphOptimizationLevel: "all",
+  });
+  elements.modelStatus.textContent = "MODEL READY / RUNNING LOCALLY";
+  return state.session;
+}
+
+function ortTensor(spec, type) {
+  const values = spec.data;
+  let data;
+  if (type === "float32") data = Float32Array.from(values);
+  else if (type === "int64") data = BigInt64Array.from(values, (value) => BigInt(value));
+  else if (type === "bool") data = Uint8Array.from(values, (value) => (value ? 1 : 0));
+  else throw new Error(`Unsupported tensor type: ${type}`);
+  return new window.ort.Tensor(type, data, spec.dims);
+}
+
+function buildFeeds(item) {
+  return {
+    bank_cont: ortTensor(item.inputs.bank_cont, "float32"),
+    gl_cont: ortTensor(item.inputs.gl_cont, "float32"),
+    bank_cat: ortTensor(item.inputs.bank_cat, "int64"),
+    gl_cat: ortTensor(item.inputs.gl_cat, "int64"),
+    bank_mask: ortTensor(item.inputs.bank_mask, "bool"),
+    gl_mask: ortTensor(item.inputs.gl_mask, "bool"),
+    candidate_mask: ortTensor(item.inputs.candidate_mask, "bool"),
+  };
+}
+
+function flatIndex(row, column, width) {
+  return row * width + column;
+}
+
+function rectangularHungarian(cost) {
+  const rowCount = cost.length;
+  const columnCount = cost[0]?.length ?? 0;
+  if (rowCount === 0) return [];
+  if (rowCount > columnCount) throw new Error("Assignment matrix is not rectangular");
+
+  const rowPotential = new Float64Array(rowCount + 1);
+  const columnPotential = new Float64Array(columnCount + 1);
+  const columnRow = new Int32Array(columnCount + 1);
+  const predecessor = new Int32Array(columnCount + 1);
+
+  for (let row = 1; row <= rowCount; row += 1) {
+    columnRow[0] = row;
+    const minimumSlack = new Float64Array(columnCount + 1);
+    minimumSlack.fill(Number.POSITIVE_INFINITY);
+    const used = new Uint8Array(columnCount + 1);
+    let currentColumn = 0;
+
+    while (true) {
+      used[currentColumn] = 1;
+      const currentRow = columnRow[currentColumn];
+      let delta = Number.POSITIVE_INFINITY;
+      let nextColumn = 0;
+
+      for (let column = 1; column <= columnCount; column += 1) {
+        if (used[column]) continue;
+        const edgeCost = cost[currentRow - 1][column - 1];
+        if (Number.isFinite(edgeCost)) {
+          const slack =
+            edgeCost - rowPotential[currentRow] - columnPotential[column];
+          if (slack < minimumSlack[column]) {
+            minimumSlack[column] = slack;
+            predecessor[column] = currentColumn;
+          }
+        }
+        if (minimumSlack[column] < delta) {
+          delta = minimumSlack[column];
+          nextColumn = column;
+        }
+      }
+
+      if (!Number.isFinite(delta)) throw new Error("No feasible assignment exists");
+
+      for (let column = 0; column <= columnCount; column += 1) {
+        if (used[column]) {
+          rowPotential[columnRow[column]] += delta;
+          columnPotential[column] -= delta;
+        } else if (column > 0) {
+          minimumSlack[column] -= delta;
+        }
+      }
+
+      currentColumn = nextColumn;
+      if (columnRow[currentColumn] === 0) break;
+    }
+
+    while (currentColumn !== 0) {
+      const previousColumn = predecessor[currentColumn];
+      columnRow[currentColumn] = columnRow[previousColumn];
+      currentColumn = previousColumn;
+    }
+  }
+
+  const assignment = Array(rowCount).fill(-1);
+  for (let column = 1; column <= columnCount; column += 1) {
+    const row = columnRow[column];
+    if (row !== 0) assignment[row - 1] = column - 1;
+  }
+  return assignment;
+}
+
+function decodeAssignment(pairScores, unmatchedScores, item) {
+  const bankMask = item.inputs.bank_mask.data;
+  const glMask = item.inputs.gl_mask.data;
+  const candidateMask = item.inputs.candidate_mask.data;
+  const bankCount = item.inputs.bank_mask.dims.at(-1);
+  const glCount = item.inputs.gl_mask.dims.at(-1);
+  const validBanks = [...Array(bankCount).keys()].filter((index) => bankMask[index]);
+  const validGls = [...Array(glCount).keys()].filter((index) => glMask[index]);
+  const cost = validBanks.map((bankIndex, localBankIndex) => {
+    const row = Array(validGls.length + validBanks.length).fill(
+      Number.POSITIVE_INFINITY,
+    );
+    validGls.forEach((glIndex, localGlIndex) => {
+      if (candidateMask[flatIndex(bankIndex, glIndex, glCount)]) {
+        row[localGlIndex] = -pairScores[flatIndex(bankIndex, glIndex, glCount)];
+      }
+    });
+    row[validGls.length + localBankIndex] = -unmatchedScores[bankIndex];
+    return row;
+  });
+
+  const selectedColumns = rectangularHungarian(cost);
+  const bankToGl = Array(bankCount).fill(-1);
+  selectedColumns.forEach((column, localBankIndex) => {
+    if (column < validGls.length) {
+      bankToGl[validBanks[localBankIndex]] = validGls[column];
+    }
+  });
+  return { bankToGl, validBanks, validGls };
+}
+
+function localConfidence(
+  bankIndex,
+  selectedGl,
+  pairScores,
+  unmatchedScores,
+  item,
+) {
+  const glMask = item.inputs.gl_mask.data;
+  const candidateMask = item.inputs.candidate_mask.data;
+  const glCount = item.inputs.gl_mask.dims.at(-1);
+  const choices = [];
+  const selectedPositions = new Map();
+
+  for (let glIndex = 0; glIndex < glCount; glIndex += 1) {
+    if (glMask[glIndex] && candidateMask[flatIndex(bankIndex, glIndex, glCount)]) {
+      selectedPositions.set(glIndex, choices.length);
+      choices.push(pairScores[flatIndex(bankIndex, glIndex, glCount)]);
+    }
+  }
+  const unmatchedPosition = choices.length;
+  choices.push(unmatchedScores[bankIndex]);
+
+  const maximum = Math.max(...choices);
+  const exponentials = choices.map((value) => Math.exp(value - maximum));
+  const denominator = exponentials.reduce((total, value) => total + value, 0);
+  const selectedPosition =
+    selectedGl < 0 ? unmatchedPosition : selectedPositions.get(selectedGl);
+  return exponentials[selectedPosition] / denominator;
+}
+
+function exceptionPredictions(values, bankCount, exceptionCount) {
+  return [...Array(bankCount).keys()].map((bankIndex) => {
+    let bestIndex = 0;
+    let bestValue = Number.NEGATIVE_INFINITY;
+    for (let exceptionIndex = 0; exceptionIndex < exceptionCount; exceptionIndex += 1) {
+      const value = values[flatIndex(bankIndex, exceptionIndex, exceptionCount)];
+      if (value > bestValue) {
+        bestValue = value;
+        bestIndex = exceptionIndex;
+      }
+    }
+    return bestIndex;
+  });
+}
+
+function decisionRoute(exceptionName, confidence, threshold, selectedGl) {
+  if (confidence < threshold) return "REVIEW / LOW CONFIDENCE";
+  if (selectedGl < 0) return "REVIEW / UNMATCHED";
+  if (exceptionName !== "MATCHED") return `REVIEW / ${exceptionName}`;
+  return "CONTROL CHECK";
+}
+
+function renderTableRows(target, rows, fields) {
+  target.innerHTML = rows
+    .map(
+      (row) =>
+        `<tr>${fields
+          .map((field) => `<td>${field(row)}</td>`)
+          .join("")}</tr>`,
+    )
+    .join("");
+}
+
+function renderResult(item, result, threshold) {
+  const pairOutput = result.pair_logits;
+  const unmatchedOutput = result.unmatched_logits;
+  const exceptionOutput = result.exception_logits;
+  if (!pairOutput || !unmatchedOutput || !exceptionOutput) {
+    throw new Error("The model returned an unexpected output contract");
+  }
+
+  const decoded = decodeAssignment(pairOutput.data, unmatchedOutput.data, item);
+  const bankCount = item.inputs.bank_mask.dims.at(-1);
+  const exceptionCount = exceptionOutput.dims.at(-1);
+  const exceptionIndices = exceptionPredictions(
+    exceptionOutput.data,
+    bankCount,
+    exceptionCount,
+  );
+
+  const proposals = decoded.validBanks.map((bankIndex) => {
+    const selectedGl = decoded.bankToGl[bankIndex];
+    const confidence = localConfidence(
+      bankIndex,
+      selectedGl,
+      pairOutput.data,
+      unmatchedOutput.data,
+      item,
+    );
+    const exceptionName = EXCEPTION_NAMES[exceptionIndices[bankIndex]] ?? "REVIEW";
+    return {
+      bankIndex,
+      bank: item.display.bank_rows[bankIndex],
+      glIndex: selectedGl,
+      gl: selectedGl >= 0 ? item.display.gl_rows[selectedGl] : null,
+      confidence,
+      exceptionName,
+      route: decisionRoute(
+        exceptionName,
+        confidence,
+        threshold,
+        selectedGl,
+      ),
+    };
+  });
+
+  const matched = proposals.filter((proposal) => proposal.gl).length;
+  const unmatched = proposals.length - matched;
+  const reviewItems = proposals.filter((proposal) => proposal.route !== "CONTROL CHECK");
+  const averageConfidence =
+    proposals.reduce((total, proposal) => total + proposal.confidence, 0) /
+    Math.max(proposals.length, 1);
+  const exactReference = item.truth?.bank_to_gl
+    ? proposals.every(
+        (proposal) =>
+          Number(item.truth.bank_to_gl[proposal.bankIndex]) === proposal.glIndex,
+      )
+    : null;
+
+  elements.reviewStatus.className = `status-strip ${
+    reviewItems.length ? "status-review" : "status-standard"
+  }`;
+  elements.reviewStatus.innerHTML = `
+    <div>
+      <span>REVIEW ROUTE</span>
+      <strong>${reviewItems.length ? "HUMAN REVIEW REQUIRED" : "STANDARD REVIEW"}</strong>
+    </div>
+    <div>
+      <span>POSTING AUTHORIZED</span>
+      <strong>FALSE</strong>
+    </div>
+  `;
+
+  const cards = [
+    [matched, "proposed matches"],
+    [unmatched, "unmatched rows"],
+    [reviewItems.length, "items flagged"],
+    [formatPercent(averageConfidence), "mean confidence"],
+  ];
+  elements.summaryCards.innerHTML = cards
+    .map(
+      ([value, label], index) => `
+        <article class="stat-card">
+          <span class="stat-index">0${index + 1}</span>
+          <strong>${escapeHtml(value)}</strong>
+          <span>${escapeHtml(label)}</span>
+        </article>
+      `,
+    )
+    .join("");
+
+  elements.proposalRows.innerHTML = proposals
+    .map(
+      (proposal) => `
+        <tr>
+          <td><strong>${escapeHtml(proposal.bank.id)}</strong></td>
+          <td class="amount">${formatMoney(
+            proposal.bank.amount,
+            proposal.bank.currency,
+          )}</td>
+          <td>${proposal.gl ? escapeHtml(proposal.gl.id) : "— UNMATCHED —"}</td>
+          <td>${formatPercent(proposal.confidence)}</td>
+          <td><span class="signal signal-${proposal.exceptionName
+            .toLowerCase()
+            .replaceAll(" ", "-")}">${escapeHtml(proposal.exceptionName)}</span></td>
+          <td>${escapeHtml(proposal.route)}</td>
+        </tr>
+      `,
+    )
+    .join("");
+
+  renderTableRows(elements.bankRows, item.display.bank_rows, [
+    (row) => `<strong>${escapeHtml(row.id)}</strong>`,
+    (row) => escapeHtml(row.date),
+    (row) => escapeHtml(row.narrative),
+    (row) => `<span class="amount">${formatMoney(row.amount, row.currency)}</span>`,
+  ]);
+  renderTableRows(elements.glRows, item.display.gl_rows, [
+    (row) => `<strong>${escapeHtml(row.id)}</strong>`,
+    (row) => escapeHtml(row.date),
+    (row) => escapeHtml(row.narrative),
+    (row) => `<span class="amount">${formatMoney(row.amount, row.currency)}</span>`,
+  ]);
+
+  if (exactReference !== null) {
+    elements.modelStatus.textContent = exactReference
+      ? "RUN COMPLETE / MATCHES FICTIONAL REFERENCE ANSWER"
+      : "RUN COMPLETE / DIFFERS FROM FICTIONAL REFERENCE ANSWER";
+  } else {
+    elements.modelStatus.textContent = "RUN COMPLETE / HUMAN REVIEW REQUIRED";
+  }
+  elements.demoOutput.hidden = false;
+  elements.demoOutput.scrollIntoView({ behavior: "smooth", block: "start" });
+}
+
+async function runReview() {
+  const item = selectedCase();
+  if (!item) return;
+  const threshold = Number(elements.threshold.value) / 100;
+  elements.runButton.disabled = true;
+  elements.runButton.textContent = "Reviewing…";
+  elements.modelStatus.textContent = "PREPARING FICTIONAL RECORDS";
+
+  try {
+    const session = await ensureModel();
+    elements.modelStatus.textContent = "REASONING / ENFORCING ONE-TO-ONE USE";
+    const output = await session.run(buildFeeds(item));
+    renderResult(item, output, threshold);
+  } catch (error) {
+    console.error(error);
+    elements.modelStatus.textContent = `MODEL ERROR / ${error.message}`;
+    elements.reviewStatus.className = "status-strip status-error";
+    elements.reviewStatus.innerHTML = `
+      <div>
+        <span>DEMO STATUS</span>
+        <strong>COULD NOT RUN IN THIS BROWSER</strong>
+      </div>
+      <div>
+        <span>SAFE RESULT</span>
+        <strong>NO DECISION / NO POSTING</strong>
+      </div>
+    `;
+    elements.demoOutput.hidden = false;
+  } finally {
+    elements.runButton.disabled = false;
+    elements.runButton.textContent = "Review this batch →";
+  }
+}
+
+elements.threshold.addEventListener("input", () => {
+  elements.thresholdValue.value = `${elements.threshold.value}%`;
+});
+elements.caseSelect.addEventListener("change", renderCaseNote);
+elements.runButton.addEventListener("click", runReview);
+
+Promise.all([loadGuide(), loadCases()]).catch((error) => {
+  console.error(error);
+  elements.modelStatus.textContent = `SETUP ERROR / ${error.message}`;
+});

demo_cases.json

@@ -0,0 +1,3901 @@
+{
+  "version": 1,
+  "cases": [
+    {
+      "id": "clean-close",
+      "label": "A clean month-end close",
+      "kicker": "START HERE",
+      "description": "Eight ordinary operating-account transactions. The model must pair each bank line to one\u2014and only one\u2014general-ledger line.",
+      "period": "July 2026",
+      "inputs": {
+        "bank_cont": {
+          "data": [
+            0.49339696764945984,
+            -0.800000011920929,
+            1.0,
+            -0.24957138299942017,
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+            -1.0,
+            0.42121371626853943,
+            0.6666666865348816,
+            1.0,
+            0.47333502769470215,
+            0.06666667014360428,
+            1.0,
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+          ],
+          "dims": [
+            1,
+            24,
+            3
+          ]
+        },
+        "gl_cont": {
+          "data": [
+            0.49339696764945984,
+            -0.6666666865348816,
+            1.0,
+            -0.46732231974601746,
+            0.06666667014360428,
+            -1.0,
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+          "dims": [
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+          ]
+        },
+        "bank_cat": {
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+}

index.html

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 <!doctype html>
-<html>
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-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
+<html lang="en">
+  <head>
+    <meta charset="utf-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1" />
+    <meta
+      name="description"
+      content="An accounting-first guide to training hierarchical reasoning models, with a live bank-reconciliation model running entirely in your browser."
+    />
+    <meta name="theme-color" content="#f2f0e9" />
+    <title>CFO-HRM — Accounting Puzzle Lab</title>
+    <link rel="stylesheet" href="./style.css" />
+    <script
+      defer
+      src="https://cdn.jsdelivr.net/npm/marked@18.0.7/lib/marked.umd.js"
+    ></script>
+    <script
+      defer
+      src="https://cdn.jsdelivr.net/npm/onnxruntime-web@1.27.0/dist/ort.min.js"
+    ></script>
+    <script type="module" src="./app.js"></script>
+  </head>
+  <body>
+    <a class="skip-link" href="#main">Skip to the guide</a>
+
+    <header class="topbar" aria-label="Primary navigation">
+      <a class="wordmark" href="#hero" aria-label="CFO-HRM home">
+        <span class="wordmark-mark">CFO</span>
+        <span>HRM / ACCOUNTING LAB</span>
+      </a>
+      <nav>
+        <a href="#guide">The guide</a>
+        <a href="#demo">Live case</a>
+        <a href="#controls">Controls</a>
+        <a
+          href="https://huggingface.co/aznatkoiny/cfo-hrm"
+          target="_blank"
+          rel="noreferrer"
+          >Model ↗</a
+        >
+      </nav>
+    </header>
+
+    <main id="main">
+      <section id="hero" class="page-section">
+        <div class="hero-grid">
+          <div class="hero-copy">
+            <p class="eyebrow">“TRAINING DATA, EXPLAINED” / VOL. 01</p>
+            <h1>Teach the model the way you train a new accountant.</h1>
+            <p class="hero-deck">
+              Give it complete cases, clear rules, and approved answers. Then
+              make it ask for help when the evidence is not good enough.
+            </p>
+            <div class="hero-actions">
+              <a class="button button-primary" href="#guide">Start with the guide</a>
+              <a class="button button-ghost" href="#demo">See a live reconciliation</a>
+            </div>
+          </div>
+
+          <aside class="hero-aside" aria-label="Project status">
+            <div class="model-badge">
+              <span class="signal-dot" aria-hidden="true"></span>
+              ACTUAL CHECKPOINT / BROWSER-RUN
+            </div>
+            <p class="quote-label">“SHADOW MODE”</p>
+            <p>
+              The model proposes. Deterministic controls check. A person
+              decides.
+            </p>
+            <div class="audit-stamp" aria-label="Posting status">
+              <span>POSTING AUTHORIZED</span>
+              <strong>FALSE</strong>
+            </div>
+            <p class="microcopy">
+              Fictional demonstration records. No files are uploaded. Nothing
+              can reach an ERP.
+            </p>
+          </aside>
+        </div>
+      </section>
+
+      <section class="stats-grid page-section" aria-label="Project facts">
+        <article class="stat-card">
+          <span class="stat-index">01</span>
+          <strong>702</strong>
+          <span>held-out bank rows</span>
+        </article>
+        <article class="stat-card">
+          <span class="stat-index">02</span>
+          <strong>100%</strong>
+          <span>test match F1*</span>
+        </article>
+        <article class="stat-card">
+          <span class="stat-index">03</span>
+          <strong>0</strong>
+          <span>authorized postings</span>
+        </article>
+        <article class="stat-card">
+          <span class="stat-index">04</span>
+          <strong>LOCAL</strong>
+          <span>in-browser inference</span>
+        </article>
+        <p class="stats-footnote">
+          *The deterministic rules baseline also matched 100%. The honest lesson
+          is exception recognition—not a claim that HRM beats ordinary matching.
+        </p>
+      </section>
+
+      <section id="guide" class="page-section content-section">
+        <div class="section-heading">
+          <p class="section-label">SECTION 01 / THE DATASET</p>
+          <div>
+            <h2>What does a specialist training dataset look like?</h2>
+            <p>
+              The original explanation is presented below with its wording and
+              examples intact.
+            </p>
+          </div>
+        </div>
+        <article id="guide-content" class="accounting-panel guide-content">
+          <p class="loading-copy">Loading the accounting-puzzle guide…</p>
+        </article>
+      </section>
+
+      <section id="demo" class="page-section content-section">
+        <div class="section-heading">
+          <p class="section-label">SECTION 02 / MODEL IN ACTION</p>
+          <div>
+            <h2>Review a fictional reconciliation batch.</h2>
+            <p>
+              The released step-50 model runs on your device. It scores the
+              candidates; a one-to-one decoder prevents double-use of GL rows.
+            </p>
+          </div>
+        </div>
+
+        <div class="demo-shell">
+          <div class="demo-controls">
+            <label for="case-select">Choose a case</label>
+            <select id="case-select" name="case"></select>
+
+            <label for="threshold">
+              Confidence needed before a match can pass
+              <output id="threshold-value" for="threshold">90%</output>
+            </label>
+            <input
+              id="threshold"
+              type="range"
+              min="50"
+              max="99"
+              value="90"
+              step="1"
+            />
+
+            <button id="run-review" class="button button-primary" type="button">
+              Review this batch →
+            </button>
+            <p id="model-status" class="model-status" role="status" aria-live="polite">
+              MODEL STANDBY / LOADS ON FIRST RUN
+            </p>
+          </div>
+
+          <div class="demo-case-note">
+            <p class="quote-label">“CASE NOTE”</p>
+            <h3 id="case-title">Select a case</h3>
+            <p id="case-description">
+              Each example uses fictional names and amounts generated for this
+              demonstration.
+            </p>
+            <dl>
+              <div>
+                <dt>Period</dt>
+                <dd id="case-period">—</dd>
+              </div>
+              <div>
+                <dt>Data</dt>
+                <dd>Fictional</dd>
+              </div>
+              <div>
+                <dt>Decision</dt>
+                <dd>Human review</dd>
+              </div>
+            </dl>
+          </div>
+        </div>
+
+        <div id="demo-output" class="demo-output" hidden>
+          <div id="review-status" class="status-strip" role="status"></div>
+          <div id="summary-cards" class="stats-grid compact"></div>
+
+          <div class="table-block">
+            <div class="table-heading">
+              <p class="section-label">PROPOSED DISPOSITIONS</p>
+              <p>Every GL row can be used at most once.</p>
+            </div>
+            <div class="table-scroll">
+              <table>
+                <thead>
+                  <tr>
+                    <th>Bank row</th>
+                    <th>Amount</th>
+                    <th>Proposed GL</th>
+                    <th>Confidence</th>
+                    <th>Model signal</th>
+                    <th>Route</th>
+                  </tr>
+                </thead>
+                <tbody id="proposal-rows"></tbody>
+              </table>
+            </div>
+          </div>
+
+          <details class="record-details">
+            <summary>Inspect the fictional bank and GL records</summary>
+            <div class="record-grid">
+              <div>
+                <h3>Bank statement</h3>
+                <div class="table-scroll">
+                  <table>
+                    <thead>
+                      <tr>
+                        <th>ID</th>
+                        <th>Date</th>
+                        <th>Narrative</th>
+                        <th>Amount</th>
+                      </tr>
+                    </thead>
+                    <tbody id="bank-rows"></tbody>
+                  </table>
+                </div>
+              </div>
+              <div>
+                <h3>General ledger</h3>
+                <div class="table-scroll">
+                  <table>
+                    <thead>
+                      <tr>
+                        <th>ID</th>
+                        <th>Date</th>
+                        <th>Narrative</th>
+                        <th>Amount</th>
+                      </tr>
+                    </thead>
+                    <tbody id="gl-rows"></tbody>
+                  </table>
+                </div>
+              </div>
+            </div>
+          </details>
+
+          <p class="caveat">
+            Confidence is a routing signal, not proof. This educational model
+            was trained on synthetic records and is not accounting software.
+          </p>
+        </div>
+      </section>
+
+      <section id="controls" class="page-section content-section">
+        <div class="section-heading">
+          <p class="section-label">SECTION 03 / THE CONTROL BOUNDARY</p>
+          <div>
+            <h2>The model never gets the final word.</h2>
+            <p>
+              A useful accounting system separates prediction from authority.
+            </p>
+          </div>
+        </div>
+
+        <div class="workflow-grid">
+          <article class="workflow-step">
+            <span>01 / SCORE</span>
+            <h3>The model proposes</h3>
+            <p>It scores possible bank-to-ledger links and exception types.</p>
+          </article>
+          <article class="workflow-step">
+            <span>02 / CONSTRAIN</span>
+            <h3>Rules enforce consistency</h3>
+            <p>Entity, currency, amount, date, and one-to-one use are checked.</p>
+          </article>
+          <article class="workflow-step">
+            <span>03 / ABSTAIN</span>
+            <h3>Weak evidence stops</h3>
+            <p>Low-confidence and unusual items are routed to review.</p>
+          </article>
+          <article class="workflow-step">
+            <span>04 / DECIDE</span>
+            <h3>A person remains accountable</h3>
+            <p>The public demo has no posting client, credentials, or approval path.</p>
+          </article>
+        </div>
+      </section>
+
+      <section class="page-section disclosure-panel">
+        <p class="section-label">READ BEFORE USE</p>
+        <h2>Educational, synthetic, non-commercial.</h2>
+        <p>
+          The source code is Apache-2.0. The checkpoint was trained using
+          CC BY-NC 4.0 Mindweave datasets and is released under CC BY-NC 4.0.
+          It is not cleared for commercial accounting use. The public examples
+          are fictional and are not copied from the source datasets.
+        </p>
+        <div class="link-row">
+          <a href="https://github.com/Aznatkoiny/cfo-hrm" target="_blank" rel="noreferrer"
+            >Source + controls ↗</a
+          >
+          <a
+            href="https://huggingface.co/aznatkoiny/cfo-hrm"
+            target="_blank"
+            rel="noreferrer"
+            >Model + evaluation ↗</a
+          >
+          <a
+            href="https://arxiv.org/html/2506.21734v3"
+            target="_blank"
+            rel="noreferrer"
+            >HRM research inspiration ↗</a
+          >
+        </div>
+      </section>
+    </main>
+
+    <footer class="site-footer">
+      <p>CFO-HRM / ACCOUNTING PUZZLE LAB</p>
+      <p class="footer-note">“PROPOSALS, NOT POSTINGS”</p>
+      <p>EDUCATIONAL RELEASE / V0.1.0</p>
+    </footer>
+  </body>
 </html>

model/cfo_hrm.onnx

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style.css

@@ -1,28 +1,2138 @@
+/*
+ * CFO HRM — industrial editorial interface
+ *
+ * Original visual language built from ledger grids, registration marks,
+ * utilitarian labels, and safety-color wayfinding. No external fonts or
+ * trademarked visual assets are used.
+ */
+
+:root {
+  color-scheme: light;
+  --paper: #f2eee4;
+  --paper-bright: #fbf9f3;
+  --paper-deep: #dfd8ca;
+  --ink: #11110f;
+  --ink-soft: #302f2b;
+  --muted: #6b675e;
+  --line: #bbb3a5;
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+  --orange: #ff5100;
+  --orange-deep: #963000;
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+  --danger: #98261e;
+  --focus: #006fc9;
+  --display: "Arial Black", "Helvetica Neue", Helvetica, Arial, sans-serif;
+  --body: "Helvetica Neue", Helvetica, Arial, sans-serif;
+  --mono: "IBM Plex Mono", "SFMono-Regular", Consolas, "Liberation Mono", monospace;
+  --measure: 72ch;
+  --site-width: 1440px;
+  --gutter: clamp(1rem, 3.2vw, 3.25rem);
+  --space-1: 0.375rem;
+  --space-2: 0.75rem;
+  --space-3: 1rem;
+  --space-4: 1.5rem;
+  --space-5: 2rem;
+  --space-6: 3rem;
+  --space-7: 4.5rem;
+  --border: 1px solid var(--ink);
+  --border-heavy: 2px solid var(--ink);
+  --shadow-offset: 7px 7px 0 var(--ink);
+}
+
+*,
+*::before,
+*::after {
+  box-sizing: border-box;
+}
+
+html {
+  scroll-behavior: smooth;
+  scroll-padding-top: 6.5rem;
+  background: var(--paper);
+}
+
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-	padding: 2rem;
-	font-family: -apple-system, BlinkMacSystemFont, "Arial", sans-serif;
+  min-width: 320px;
+  margin: 0;
+  color: var(--ink);
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+  background-image:
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+  font-size: 1rem;
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+  text-rendering: optimizeLegibility;
+  -webkit-font-smoothing: antialiased;
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+
+img,
+svg {
+  display: block;
+  max-width: 100%;
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+
+button,
+input,
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+textarea {
+  font: inherit;
+}
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+button,
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+}
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+a {
+  color: var(--orange-deep);
+  text-decoration-color: currentColor;
+  text-decoration-thickness: 1px;
+  text-underline-offset: 0.2em;
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+
+a:hover {
+  color: var(--ink);
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+  outline: 3px solid var(--focus);
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+::selection {
+  color: var(--ink);
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+
+[hidden] {
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+}
+
+.skip-link {
+  position: fixed;
+  z-index: 1000;
+  top: 0.75rem;
+  left: 0.75rem;
+  padding: 0.75rem 1rem;
+  border: var(--border-heavy);
+  color: var(--ink);
+  background: var(--paper-bright);
+  font-family: var(--mono);
+  font-weight: 800;
+  transform: translateY(-160%);
+}
+
+.skip-link:focus {
+  transform: translateY(0);
+}
+
+.site-shell,
+main,
+.site-footer {
+  width: min(100%, var(--site-width));
+  margin-inline: auto;
+}
+
+.site-nav {
+  position: sticky;
+  z-index: 100;
+  top: 0;
+  display: flex;
+  min-height: 4.25rem;
+  align-items: stretch;
+  justify-content: space-between;
+  border-right: var(--border);
+  border-bottom: var(--border-heavy);
+  border-left: var(--border);
+  background: rgba(242, 238, 228, 0.96);
+  backdrop-filter: blur(14px);
+}
+
+.site-nav .brand,
+.site-nav > a:first-child {
+  display: inline-flex;
+  min-width: 15rem;
+  align-items: center;
+  padding: 0.75rem var(--gutter);
+  border-right: var(--border);
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+  font-weight: 900;
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+  width: 0.72rem;
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+  background: var(--orange);
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+
+.site-nav ul,
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+  display: flex;
+  margin: 0;
+  padding: 0;
+  align-items: stretch;
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+.site-nav li {
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+  display: inline-flex;
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+.site-nav .nav-links > a:hover {
+  color: var(--ink);
+  background: var(--orange);
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+
+#hero,
+.hero {
+  position: relative;
+  display: grid;
+  min-height: min(730px, 82vh);
+  grid-template-columns: minmax(0, 1.68fr) minmax(18rem, 0.62fr);
+  overflow: hidden;
+  border-right: var(--border-heavy);
+  border-bottom: var(--border-heavy);
+  border-left: var(--border-heavy);
+  background: var(--paper-bright);
+}
+
+#hero::before,
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+  right: 1rem;
+  width: 1rem;
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+
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+  display: contents;
+}
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+  position: relative;
+  display: flex;
+  min-width: 0;
+  padding: clamp(5rem, 9vw, 9.5rem) var(--gutter) clamp(3rem, 6vw, 6rem);
+  flex-direction: column;
+  justify-content: space-between;
+}
+
+.hero-copy::after {
+  position: absolute;
+  right: clamp(1rem, 3vw, 2.5rem);
+  bottom: 1rem;
+  color: var(--muted);
+  content: "X 01  /  Y 01";
+  font-family: var(--mono);
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+
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+  display: inline-flex;
+  width: fit-content;
+  align-items: center;
+  margin: 0 0 var(--space-4);
+  padding: 0.42rem 0.62rem;
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+  font-family: Georgia, serif;
+  font-size: 1.1em;
+}
+
+#hero h1,
+.hero h1 {
+  max-width: 11ch;
+  margin: 0;
+  font-family: var(--display);
+  font-size: clamp(3.65rem, 8.4vw, 9rem);
+  font-weight: 950;
+  letter-spacing: -0.085em;
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+  text-transform: uppercase;
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+
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+}
+
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+  max-width: 34ch;
+  color: var(--paper-deep);
+}
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+  display: flex;
+  width: fit-content;
+  max-width: 100%;
+  margin-top: var(--space-4);
+  padding: 0.65rem 0.8rem;
+  align-items: center;
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+  letter-spacing: 0.04em;
+  overflow-wrap: anywhere;
+  text-transform: uppercase;
+}
+
+.model-badge::before {
+  width: 0.52rem;
+  height: 0.52rem;
+  margin-right: 0.55rem;
+  flex: 0 0 auto;
+  border-radius: 50%;
+  background: var(--orange);
+  box-shadow: 0 0 0 3px rgba(255, 81, 0, 0.2);
+  content: "";
+}
+
+.stats-grid {
+  display: grid;
+  grid-template-columns: repeat(4, minmax(0, 1fr));
+  border-right: var(--border-heavy);
+  border-bottom: var(--border-heavy);
+  border-left: var(--border-heavy);
+  background: var(--paper-bright);
+}
+
+.stat-card {
+  position: relative;
+  min-height: 10rem;
+  padding: var(--space-4);
+}
+
+.stat-card + .stat-card {
+  border-left: var(--border);
+}
+
+.stat-card::before {
+  display: block;
+  margin-bottom: 1.65rem;
+  color: var(--muted);
+  content: attr(data-index);
+  font-family: var(--mono);
+  font-size: 0.62rem;
+  letter-spacing: 0.08em;
+}
+
+.stat-card strong,
+.stat-card .stat-value {
+  display: block;
+  font-family: var(--display);
+  font-size: clamp(2rem, 3.8vw, 4.3rem);
+  font-weight: 950;
+  letter-spacing: -0.065em;
+  line-height: 0.9;
+}
+
+.stat-card span,
+.stat-card .stat-label {
+  display: block;
+  max-width: 24ch;
+  margin-top: 0.85rem;
+  color: var(--muted);
+  font-family: var(--mono);
+  font-size: 0.68rem;
+  font-weight: 700;
+  letter-spacing: 0.055em;
+  line-height: 1.4;
+  text-transform: uppercase;
+}
+
+.content-section,
+section.guide,
+#guide-content,
+.demo-shell {
+  border-right: var(--border-heavy);
+  border-bottom: var(--border-heavy);
+  border-left: var(--border-heavy);
+}
+
+.content-section,
+section.guide {
+  padding: clamp(3rem, 8vw, 8rem) var(--gutter);
+  background: var(--paper);
+}
+
+.section-heading {
+  display: grid;
+  margin-bottom: clamp(2.5rem, 6vw, 5rem);
+  grid-template-columns: minmax(0, 1fr) minmax(16rem, 0.42fr);
+  gap: var(--space-5);
+  align-items: end;
+}
+
+.section-heading h2 {
+  max-width: 13ch;
+  margin: 0;
+  font-family: var(--display);
+  font-size: clamp(2.7rem, 6.4vw, 6.5rem);
+  font-weight: 950;
+  letter-spacing: -0.075em;
+  line-height: 0.88;
+  text-transform: uppercase;
+}
+
+.section-heading p {
+  max-width: 38ch;
+  margin: 0;
+  color: var(--ink-soft);
+  font-size: 1.08rem;
+}
+
+#guide-content {
+  padding: clamp(3rem, 7vw, 7rem) var(--gutter);
+  background: var(--paper-bright);
+}
+
+#guide-content > * {
+  max-width: var(--measure);
+  margin-right: auto;
+  margin-left: auto;
+}
+
+#guide-content > .section-label,
+#guide-content > h1,
+#guide-content > h2,
+#guide-content > h3,
+#guide-content > h4,
+#guide-content > table,
+#guide-content > pre,
+#guide-content > blockquote,
+#guide-content > details {
+  width: 100%;
+  max-width: 980px;
+}
+
+#guide-content > h1 {
+  margin-top: 0;
+  margin-bottom: clamp(2rem, 4vw, 4rem);
+  font-family: var(--display);
+  font-size: clamp(2.8rem, 6vw, 6rem);
+  font-weight: 950;
+  letter-spacing: -0.075em;
+  line-height: 0.88;
+  text-transform: uppercase;
+}
+
+#guide-content h2 {
+  position: relative;
+  margin-top: clamp(4rem, 9vw, 8rem);
+  margin-bottom: 1.35rem;
+  padding-top: 1rem;
+  border-top: var(--border-heavy);
+  font-family: var(--display);
+  font-size: clamp(2rem, 4vw, 4.15rem);
+  font-weight: 950;
+  letter-spacing: -0.06em;
+  line-height: 0.95;
+}
+
+#guide-content h2::after {
+  position: absolute;
+  top: -0.52rem;
+  right: 0;
+  width: 0.95rem;
+  height: 0.95rem;
+  border: var(--border);
+  background: var(--orange);
+  content: "";
+}
+
+#guide-content h3 {
+  margin-top: 3rem;
+  margin-bottom: 0.8rem;
+  font-family: var(--display);
+  font-size: clamp(1.35rem, 2.4vw, 2.15rem);
+  font-weight: 900;
+  letter-spacing: -0.035em;
+  line-height: 1.05;
+}
+
+#guide-content h4 {
+  margin-top: 2rem;
+  margin-bottom: 0.7rem;
+  font-family: var(--mono);
+  font-size: 0.8rem;
+  font-weight: 900;
+  letter-spacing: 0.07em;
+  text-transform: uppercase;
+}
+
+#guide-content p,
+#guide-content li {
+  color: var(--ink-soft);
+  font-size: clamp(1rem, 1.2vw, 1.12rem);
+}
+
+#guide-content p {
+  margin-top: 0;
+  margin-bottom: 1.15rem;
+}
+
+#guide-content ul,
+#guide-content ol {
+  margin-top: 0.5rem;
+  margin-bottom: 1.75rem;
+  padding-left: 1.5rem;
+}
+
+#guide-content li {
+  margin-bottom: 0.48rem;
+  padding-left: 0.3rem;
+}
+
+#guide-content li::marker {
+  color: var(--orange-deep);
+  font-family: var(--mono);
+  font-weight: 900;
+}
+
+#guide-content blockquote {
+  position: relative;
+  margin-top: 2.25rem;
+  margin-bottom: 2.25rem;
+  padding: clamp(1.4rem, 3vw, 2.5rem);
+  border: var(--border-heavy);
+  border-left: 0.8rem solid var(--orange);
+  background: var(--paper);
+}
+
+#guide-content blockquote::before {
+  position: absolute;
+  top: 0.25rem;
+  right: 0.7rem;
+  color: var(--orange);
+  content: "\201C";
+  font-family: Georgia, serif;
+  font-size: 4rem;
+  font-weight: 900;
+  line-height: 1;
+}
+
+#guide-content blockquote p {
+  max-width: 52ch;
+  margin: 0;
+  color: var(--ink);
+  font-family: var(--display);
+  font-size: clamp(1.2rem, 2vw, 1.75rem);
+  font-weight: 850;
+  letter-spacing: -0.03em;
+  line-height: 1.2;
+}
+
+code,
+kbd,
+samp,
+pre {
+  font-family: var(--mono);
+}
+
+code {
+  padding: 0.1em 0.26em;
+  color: var(--ink);
+  background: var(--paper-deep);
+  font-size: 0.88em;
+  overflow-wrap: anywhere;
+}
+
+pre {
+  position: relative;
+  margin-top: 1.5rem;
+  margin-bottom: 2rem;
+  padding: 2.6rem 1.25rem 1.25rem;
+  overflow-x: auto;
+  border: var(--border-heavy);
+  color: var(--paper-bright);
+  background: var(--ink);
+  font-size: clamp(0.74rem, 1vw, 0.9rem);
+  line-height: 1.65;
+  tab-size: 2;
+}
+
+pre::before {
+  position: absolute;
+  top: 0.62rem;
+  left: 0.75rem;
+  color: var(--paper-deep);
+  content: "EXAMPLE / READ-ONLY";
+  font-size: 0.58rem;
+  font-weight: 800;
+  letter-spacing: 0.1em;
+}
+
+pre code {
+  padding: 0;
+  color: inherit;
+  background: transparent;
+  font-size: inherit;
+  overflow-wrap: normal;
+}
+
+table {
+  width: 100%;
+  margin: 1.5rem 0 2.5rem;
+  border-collapse: collapse;
+  border: var(--border-heavy);
+  background: var(--paper-bright);
+  font-variant-numeric: tabular-nums;
+}
+
+caption {
+  padding: 0.7rem 0;
+  color: var(--muted);
+  font-family: var(--mono);
+  font-size: 0.68rem;
+  font-weight: 750;
+  letter-spacing: 0.06em;
+  text-align: left;
+  text-transform: uppercase;
+}
+
+th,
+td {
+  padding: 0.82rem 0.9rem;
+  border-right: var(--border);
+  border-bottom: var(--border);
+  text-align: left;
+  vertical-align: top;
+}
+
+th:last-child,
+td:last-child {
+  border-right: 0;
+}
+
+tr:last-child td {
+  border-bottom: 0;
+}
+
+th {
+  color: var(--ink);
+  background: var(--paper-deep);
+  font-family: var(--mono);
+  font-size: 0.68rem;
+  font-weight: 900;
+  letter-spacing: 0.055em;
+  text-transform: uppercase;
+}
+
+tbody tr:nth-child(even) {
+  background: rgba(223, 216, 202, 0.3);
+}
+
+tbody tr:hover {
+  background: rgba(255, 81, 0, 0.11);
+}
+
+.accounting-panel {
+  position: relative;
+  padding: clamp(1.25rem, 3vw, 2.5rem);
+  border: var(--border-heavy);
+  background: var(--paper-bright);
+  box-shadow: var(--shadow-offset);
+}
+
+.accounting-panel::after {
+  position: absolute;
+  right: 0.45rem;
+  bottom: 0.3rem;
+  color: var(--muted);
+  content: "CONTROLLED";
+  font-family: var(--mono);
+  font-size: 0.55rem;
+  letter-spacing: 0.11em;
+}
+
+.workflow-grid {
+  display: grid;
+  grid-template-columns: repeat(4, minmax(0, 1fr));
+  border-top: var(--border-heavy);
+  border-left: var(--border-heavy);
+}
+
+.workflow-step {
+  position: relative;
+  min-height: 15rem;
+  padding: 4rem 1.25rem 1.4rem;
+  border-right: var(--border-heavy);
+  border-bottom: var(--border-heavy);
+  background: var(--paper-bright);
+}
+
+.workflow-step::before {
+  position: absolute;
+  top: 1.1rem;
+  left: 1.2rem;
+  color: var(--orange-deep);
+  content: attr(data-step);
+  font-family: var(--display);
+  font-size: 1.5rem;
+  font-weight: 950;
+  line-height: 1;
+}
+
+.workflow-step::after {
+  position: absolute;
+  top: 1.25rem;
+  right: -0.42rem;
+  z-index: 2;
+  width: 0.78rem;
+  height: 0.78rem;
+  background: var(--orange);
+  content: "";
+}
+
+.workflow-step:last-child::after {
+  display: none;
+}
+
+.workflow-step h3 {
+  margin: 0 0 0.7rem;
+  font-family: var(--display);
+  font-size: 1.35rem;
+  letter-spacing: -0.035em;
+  line-height: 1.05;
+  text-transform: uppercase;
+}
+
+.workflow-step p {
+  margin: 0;
+  color: var(--muted);
+  font-size: 0.92rem;
+}
+
+.demo-shell {
+  padding: clamp(3rem, 7vw, 7rem) var(--gutter);
+  background: var(--ink);
+  color: var(--paper-bright);
+}
+
+.demo-shell .section-heading p {
+  color: var(--paper-deep);
+}
+
+.demo-shell .section-label {
+  color: var(--ink);
+}
+
+#demo-tabs,
+[role="tablist"] {
+  display: flex;
+  gap: 0;
+  margin-top: var(--space-5);
+  overflow-x: auto;
+  border: 1px solid var(--paper-deep);
+  scrollbar-width: thin;
+}
+
+#demo-tabs button,
+[role="tab"] {
+  min-height: 3.25rem;
+  padding: 0.85rem 1.15rem;
+  flex: 1 0 auto;
+  border: 0;
+  border-right: 1px solid var(--paper-deep);
+  color: var(--paper-bright);
+  background: transparent;
+  font-family: var(--mono);
+  font-size: 0.69rem;
+  font-weight: 900;
+  letter-spacing: 0.065em;
+  text-transform: uppercase;
+}
+
+#demo-tabs button:last-child,
+[role="tab"]:last-child {
+  border-right: 0;
+}
+
+#demo-tabs button:hover,
+[role="tab"]:hover {
+  color: var(--ink);
+  background: var(--paper-deep);
+}
+
+#demo-tabs button[aria-selected="true"],
+[role="tab"][aria-selected="true"] {
+  color: var(--ink);
+  background: var(--orange);
+}
+
+[role="tabpanel"] {
+  padding: clamp(1.2rem, 3vw, 2.25rem);
+  border: 1px solid var(--paper-deep);
+  border-top: 0;
+  background: var(--paper-bright);
+  color: var(--ink);
+}
+
+.demo-grid {
+  display: grid;
+  grid-template-columns: minmax(0, 0.82fr) minmax(0, 1.18fr);
+  gap: 0;
+  border: var(--border-heavy);
+  background: var(--paper-bright);
+  color: var(--ink);
+}
+
+.demo-grid > * {
+  min-width: 0;
+  padding: clamp(1.15rem, 3vw, 2.35rem);
+}
+
+.demo-grid > * + * {
+  border-left: var(--border-heavy);
+}
+
+label {
+  display: block;
+  margin-bottom: 0.4rem;
+  color: var(--ink);
+  font-family: var(--mono);
+  font-size: 0.67rem;
+  font-weight: 900;
+  letter-spacing: 0.06em;
+  text-transform: uppercase;
+}
+
+input,
+select,
+textarea {
+  width: 100%;
+  min-height: 3rem;
+  padding: 0.7rem 0.8rem;
+  border: var(--border-heavy);
+  border-radius: 0;
+  color: var(--ink);
+  background: var(--paper-bright);
+}
+
+input:hover,
+select:hover,
+textarea:hover {
+  border-color: var(--orange-deep);
+}
+
+input:disabled,
+select:disabled,
+textarea:disabled {
+  cursor: not-allowed;
+  opacity: 0.62;
+}
+
+button,
+.button,
+[role="button"] {
+  display: inline-flex;
+  min-height: 3rem;
+  padding: 0.72rem 1rem;
+  align-items: center;
+  justify-content: center;
+  border: var(--border-heavy);
+  border-radius: 0;
+  color: var(--ink);
+  background: var(--paper-bright);
+  font-family: var(--mono);
+  font-size: 0.7rem;
+  font-weight: 900;
+  letter-spacing: 0.055em;
+  line-height: 1.2;
+  text-decoration: none;
+  text-transform: uppercase;
+  transition:
+    background-color 120ms ease,
+    color 120ms ease,
+    transform 120ms ease,
+    box-shadow 120ms ease;
+}
+
+button:hover,
+.button:hover,
+[role="button"]:hover {
+  color: var(--paper-bright);
+  background: var(--ink);
+}
+
+button:active,
+.button:active,
+[role="button"]:active {
+  transform: translate(2px, 2px);
+}
+
+button:disabled,
+.button[aria-disabled="true"] {
+  cursor: not-allowed;
+  opacity: 0.55;
+}
+
+#run-review,
+.button-primary,
+button.primary {
+  width: 100%;
+  min-height: 3.65rem;
+  margin-top: var(--space-3);
+  color: var(--ink);
+  background: var(--orange);
+  box-shadow: 5px 5px 0 var(--ink);
+}
+
+#run-review:hover,
+.button-primary:hover,
+button.primary:hover {
+  color: var(--paper-bright);
+  background: var(--ink);
+  box-shadow: 5px 5px 0 var(--orange);
+}
+
+.status-strip {
+  display: flex;
+  min-height: 3rem;
+  margin: 0;
+  padding: 0.65rem 0.9rem;
+  align-items: center;
+  justify-content: space-between;
+  gap: var(--space-3);
+  border: var(--border-heavy);
+  color: var(--ink);
+  background: var(--paper-deep);
+  font-family: var(--mono);
+  font-size: 0.67rem;
+  font-weight: 800;
+  letter-spacing: 0.045em;
+  text-transform: uppercase;
+}
+
+.status-strip[data-status="ready"]::before,
+.status-strip[data-status="pass"]::before {
+  width: 0.62rem;
+  height: 0.62rem;
+  flex: 0 0 auto;
+  border-radius: 50%;
+  background: var(--success);
+  content: "";
+}
+
+.status-strip[data-status="review"]::before {
+  width: 0.62rem;
+  height: 0.62rem;
+  flex: 0 0 auto;
+  background: var(--orange);
+  content: "";
+}
+
+.caveat {
+  position: relative;
+  margin: var(--space-5) 0;
+  padding: 1.15rem 1.25rem 1.15rem 3.5rem;
+  border: var(--border-heavy);
+  color: var(--ink);
+  background: #ffd9c7;
+  font-size: 0.92rem;
+}
+
+.caveat::before {
+  position: absolute;
+  top: 50%;
+  left: 1.1rem;
+  color: var(--ink);
+  content: "!";
+  font-family: var(--display);
+  font-size: 1.55rem;
+  font-weight: 950;
+  transform: translateY(-50%);
+}
+
+.caveat strong {
+  font-family: var(--mono);
+  font-size: 0.75rem;
+  letter-spacing: 0.04em;
+  text-transform: uppercase;
+}
+
+.audit-stamp {
+  display: inline-grid;
+  width: min(100%, 14rem);
+  min-height: 5.6rem;
+  padding: 0.65rem;
+  place-content: center;
+  border: 3px double var(--success);
+  color: var(--success);
+  background: transparent;
+  font-family: var(--mono);
+  font-size: 0.72rem;
+  font-weight: 900;
+  letter-spacing: 0.1em;
+  line-height: 1.35;
+  text-align: center;
+  text-transform: uppercase;
+  transform: rotate(-1.5deg);
+}
+
+.audit-stamp[data-state="review"] {
+  border-color: var(--orange-deep);
+  color: var(--orange-deep);
+}
+
+.audit-stamp[data-state="blocked"] {
+  border-color: var(--danger);
+  color: var(--danger);
+}
+
+details {
+  border-top: var(--border);
+  border-right: var(--border);
+  border-left: var(--border);
+  background: var(--paper-bright);
+}
+
+details:last-of-type {
+  border-bottom: var(--border);
+}
+
+summary {
+  position: relative;
+  padding: 1rem 3.2rem 1rem 1rem;
+  cursor: pointer;
+  font-family: var(--mono);
+  font-size: 0.74rem;
+  font-weight: 900;
+  letter-spacing: 0.045em;
+  list-style: none;
+  text-transform: uppercase;
+}
+
+summary::-webkit-details-marker {
+  display: none;
+}
+
+summary::after {
+  position: absolute;
+  top: 50%;
+  right: 1rem;
+  content: "+";
+  font-family: var(--display);
+  font-size: 1.4rem;
+  transform: translateY(-50%);
+}
+
+details[open] summary {
+  color: var(--ink);
+  background: var(--orange);
+}
+
+details[open] summary::after {
+  content: "\2212";
+}
+
+details > :not(summary) {
+  margin-right: 1rem;
+  margin-left: 1rem;
+}
+
+details > :last-child {
+  margin-bottom: 1.25rem;
+}
+
+.site-footer {
+  display: grid;
+  padding: clamp(2rem, 4vw, 4rem) var(--gutter);
+  grid-template-columns: minmax(0, 1fr) auto;
+  gap: var(--space-5);
+  border-right: var(--border-heavy);
+  border-bottom: var(--border-heavy);
+  border-left: var(--border-heavy);
+  color: var(--paper-bright);
+  background: var(--ink);
+}
+
+.footer-note {
+  max-width: 62ch;
+  margin: 0;
+  color: var(--paper-deep);
+  font-size: 0.84rem;
+}
+
+.site-footer nav,
+.site-footer .footer-links {
+  display: flex;
+  flex-wrap: wrap;
+  gap: 0.75rem 1.15rem;
+  align-content: start;
+  justify-content: flex-end;
+}
+
+.site-footer a {
+  color: var(--paper-bright);
+  font-family: var(--mono);
+  font-size: 0.68rem;
+  font-weight: 800;
+  letter-spacing: 0.05em;
+  text-transform: uppercase;
+}
+
+.site-footer a:hover {
+  color: var(--orange);
+}
+
+.mono,
+.metadata,
+.construction-note {
+  font-family: var(--mono);
+  font-variant-numeric: tabular-nums;
+}
+
+.construction-note {
+  color: var(--muted);
+  font-size: 0.63rem;
+  font-weight: 700;
+  letter-spacing: 0.075em;
+  text-transform: uppercase;
+}
+
+.numeric {
+  font-variant-numeric: tabular-nums;
+  text-align: right;
+}
+
+.sr-only {
+  position: absolute !important;
+  width: 1px !important;
+  height: 1px !important;
+  padding: 0 !important;
+  overflow: hidden !important;
+  border: 0 !important;
+  clip: rect(0, 0, 0, 0) !important;
+  white-space: nowrap !important;
+}
+
+@media (max-width: 980px) {
+  #hero,
+  .hero {
+    min-height: auto;
+    grid-template-columns: 1fr;
+  }
+
+  .hero-copy {
+    min-height: 38rem;
+  }
+
+  .hero-aside {
+    min-height: 22rem;
+    border-top: var(--border-heavy);
+    border-left: 0;
+  }
+
+  .stats-grid {
+    grid-template-columns: repeat(2, minmax(0, 1fr));
+  }
+
+  .stat-card:nth-child(odd) {
+    border-left: 0;
+  }
+
+  .stat-card:nth-child(n + 3) {
+    border-top: var(--border);
+  }
+
+  .section-heading {
+    grid-template-columns: 1fr;
+  }
+
+  .workflow-grid {
+    grid-template-columns: repeat(2, minmax(0, 1fr));
+  }
+
+  .workflow-step:nth-child(even)::after {
+    display: none;
+  }
+
+  .demo-grid {
+    grid-template-columns: 1fr;
+  }
+
+  .demo-grid > * + * {
+    border-top: var(--border-heavy);
+    border-left: 0;
+  }
+}
+
+@media (max-width: 720px) {
+  html {
+    scroll-padding-top: 4.4rem;
+  }
+
+  body {
+    background-size: 32px 32px;
+  }
+
+  .site-nav {
+    min-height: 3.8rem;
+  }
+
+  .site-nav .brand,
+  .site-nav > a:first-child {
+    min-width: 0;
+    padding-inline: 0.85rem;
+  }
+
+  .site-nav ul,
+  .site-nav .nav-links {
+    max-width: 62%;
+    overflow-x: auto;
+  }
+
+  .site-nav li a,
+  .site-nav .nav-links > a {
+    min-height: 3.7rem;
+    padding-inline: 0.82rem;
+    white-space: nowrap;
+  }
+
+  .hero-copy {
+    min-height: 33rem;
+    padding-top: 5.8rem;
+  }
+
+  #hero h1,
+  .hero h1 {
+    font-size: clamp(3.15rem, 18vw, 5.3rem);
+  }
+
+  .hero-aside {
+    min-height: 20rem;
+  }
+
+  .stats-grid {
+    grid-template-columns: 1fr;
+  }
+
+  .stat-card {
+    min-height: 8.5rem;
+  }
+
+  .stat-card + .stat-card,
+  .stat-card:nth-child(n + 3) {
+    border-top: var(--border);
+    border-left: 0;
+  }
+
+  #guide-content > h1 {
+    font-size: clamp(2.65rem, 14vw, 4.5rem);
+  }
+
+  #guide-content h2 {
+    margin-top: 4.8rem;
+  }
+
+  .workflow-grid {
+    grid-template-columns: 1fr;
+  }
+
+  .workflow-step {
+    min-height: 11rem;
+  }
+
+  .workflow-step::after {
+    display: none;
+  }
+
+  .site-footer {
+    grid-template-columns: 1fr;
+  }
+
+  .site-footer nav,
+  .site-footer .footer-links {
+    justify-content: flex-start;
+  }
+
+  table {
+    display: block;
+    max-width: 100%;
+    overflow-x: auto;
+    white-space: nowrap;
+  }
+
+  #guide-content blockquote {
+    padding-right: 1.1rem;
+  }
+}
+
+@media (max-width: 430px) {
+  .site-nav .brand,
+  .site-nav > a:first-child {
+    font-size: 0;
+  }
+
+  .site-nav .brand::before,
+  .site-nav > a:first-child::before {
+    width: 1rem;
+    height: 1rem;
+    margin: 0;
+  }
+
+  .site-nav ul,
+  .site-nav .nav-links {
+    max-width: calc(100% - 3.3rem);
+  }
+
+  .hero-copy {
+    min-height: 30rem;
+  }
+
+  .hero-deck,
+  .hero-copy > p {
+    font-size: 1rem;
+  }
+
+  .audit-stamp {
+    width: 100%;
+  }
+}
+
+@media (prefers-reduced-motion: reduce) {
+  *,
+  *::before,
+  *::after {
+    scroll-behavior: auto !important;
+    transition-duration: 0.01ms !important;
+    animation-duration: 0.01ms !important;
+    animation-iteration-count: 1 !important;
+  }
+}
+
+@media (forced-colors: active) {
+  :focus-visible {
+    outline: 3px solid Highlight;
+  }
+
+  .eyebrow,
+  .quote-label,
+  .section-label,
+  .model-badge::before,
+  .workflow-step::after {
+    forced-color-adjust: none;
+    background: Highlight;
+  }
+}
+
+@media print {
+  :root {
+    --paper: #fff;
+    --paper-bright: #fff;
+    --paper-deep: #eee;
+    --ink: #000;
+  }
+
+  body {
+    background: #fff;
+    font-size: 10.5pt;
+  }
+
+  .site-nav,
+  .demo-shell,
+  .skip-link,
+  button {
+    display: none !important;
+  }
+
+  #hero,
+  .hero {
+    min-height: auto;
+    grid-template-columns: 1fr;
+  }
+
+  .hero-copy {
+    min-height: auto;
+    padding: 2rem;
+  }
+
+  .hero-aside {
+    min-height: auto;
+    border-top: var(--border);
+    border-left: 0;
+    color: #000;
+    background: #fff;
+  }
+
+  .hero-aside p,
+  .footer-note {
+    color: #000;
+  }
+
+  #guide-content h2,
+  #guide-content h3,
+  pre,
+  blockquote,
+  table,
+  details {
+    break-inside: avoid;
+  }
+
+  a {
+    color: #000;
+  }
+
+  a[href^="http"]::after {
+    content: " (" attr(href) ")";
+    font-family: var(--mono);
+    font-size: 0.72em;
+    overflow-wrap: anywhere;
+  }
+}
+
+/* --------------------------------------------------------------------------
+   Static Space compatibility layer
+   -------------------------------------------------------------------------- */
+
+.topbar {
+  position: sticky;
+  z-index: 100;
+  top: 0;
+  display: flex;
+  width: min(100%, var(--site-width));
+  min-height: 4.25rem;
+  margin-inline: auto;
+  align-items: stretch;
+  justify-content: space-between;
+  border-right: var(--border);
+  border-bottom: var(--border-heavy);
+  border-left: var(--border);
+  background: rgba(242, 238, 228, 0.96);
+  backdrop-filter: blur(14px);
+}
+
+.topbar .wordmark {
+  display: inline-flex;
+  min-width: 17rem;
+  padding: 0.75rem var(--gutter);
+  align-items: center;
+  gap: 0.65rem;
+  border-right: var(--border);
+  color: var(--ink);
+  font-family: var(--display);
+  font-size: 0.78rem;
+  font-weight: 900;
+  letter-spacing: -0.01em;
+  line-height: 1;
+  text-decoration: none;
+  text-transform: uppercase;
+}
+
+.wordmark-mark {
+  display: inline-grid;
+  width: 2.15rem;
+  height: 2.15rem;
+  flex: 0 0 auto;
+  place-items: center;
+  color: var(--ink);
+  background: var(--orange);
+  font-family: var(--display);
+  font-size: 0.68rem;
+  font-weight: 950;
+  letter-spacing: -0.04em;
+}
+
+.topbar nav {
+  display: flex;
+  margin: 0;
+  align-items: stretch;
+  overflow-x: auto;
+}
+
+.topbar nav a {
+  display: inline-flex;
+  min-height: 4.125rem;
+  padding: 0.75rem 1.15rem;
+  align-items: center;
+  border-left: var(--border);
+  color: var(--ink);
+  font-family: var(--mono);
+  font-size: 0.68rem;
+  font-weight: 800;
+  letter-spacing: 0.055em;
+  text-decoration: none;
+  text-transform: uppercase;
+  white-space: nowrap;
+}
+
+.topbar nav a:hover {
+  color: var(--ink);
+  background: var(--orange);
+}
+
+.hero-actions {
+  display: flex;
+  max-width: 46rem;
+  margin-top: var(--space-5);
+  flex-wrap: wrap;
+  gap: 0.75rem;
+}
+
+.hero-actions .button {
+  width: auto;
+  margin-top: 0;
+}
+
+.hero-actions .button-primary {
+  box-shadow: 5px 5px 0 var(--ink);
+}
+
+.hero-actions .button-ghost {
+  background: transparent;
+}
+
+.signal-dot {
+  display: inline-block;
+  width: 0.52rem;
+  height: 0.52rem;
+  margin-right: 0.1rem;
+  flex: 0 0 auto;
+  border-radius: 50%;
+  background: var(--orange);
+  box-shadow: 0 0 0 3px rgba(255, 81, 0, 0.2);
+}
+
+.model-badge:has(.signal-dot)::before {
+  display: none;
+}
+
+.microcopy {
+  color: var(--muted);
+  font-family: var(--mono);
+  font-size: 0.67rem;
+  letter-spacing: 0.035em;
+  line-height: 1.55;
+}
+
+.stat-index {
+  margin-top: 0 !important;
+  color: var(--orange-deep) !important;
+}
+
+.stats-footnote {
+  margin: 0;
+  padding: 0.8rem var(--space-4);
+  grid-column: 1 / -1;
+  border-top: var(--border);
+  color: var(--muted);
+  font-family: var(--mono);
+  font-size: 0.64rem;
+  font-weight: 700;
+  letter-spacing: 0.035em;
+  line-height: 1.45;
+  text-transform: uppercase;
+}
+
+.demo-shell {
+  display: grid;
+  padding: 0;
+  grid-template-columns: minmax(0, 0.92fr) minmax(18rem, 1.08fr);
+  color: var(--ink);
+  background: var(--paper-bright);
+}
+
+.demo-controls,
+.demo-case-note {
+  min-width: 0;
+  padding: clamp(1.5rem, 4vw, 3.5rem);
+}
+
+.demo-controls {
+  background: var(--paper-bright);
+}
+
+.demo-controls label:not(:first-child) {
+  margin-top: 1.5rem;
+}
+
+.demo-controls output {
+  float: right;
+  min-width: 3.2rem;
+  padding: 0.15rem 0.35rem;
+  color: var(--paper-bright);
+  background: var(--ink);
+  font-variant-numeric: tabular-nums;
+  text-align: center;
+}
+
+.demo-case-note {
+  display: flex;
+  flex-direction: column;
+  justify-content: space-between;
+  border-left: var(--border-heavy);
+  color: var(--paper-bright);
+  background-color: var(--ink);
+  background-image: repeating-linear-gradient(
+    -45deg,
+    transparent,
+    transparent 19px,
+    rgba(255, 255, 255, 0.045) 20px,
+    rgba(255, 255, 255, 0.045) 21px
+  );
+}
+
+.demo-case-note h3 {
+  max-width: 14ch;
+  margin: 0 0 1rem;
+  font-family: var(--display);
+  font-size: clamp(1.8rem, 3.7vw, 3.75rem);
+  font-weight: 950;
+  letter-spacing: -0.06em;
+  line-height: 0.95;
+  text-transform: uppercase;
+}
+
+.demo-case-note > p:not(.quote-label) {
+  max-width: 40ch;
+  color: var(--paper-deep);
+}
+
+.demo-case-note dl {
+  display: grid;
+  margin: var(--space-5) 0 0;
+  grid-template-columns: repeat(3, minmax(0, 1fr));
+  border-top: 1px solid var(--paper-deep);
+  border-left: 1px solid var(--paper-deep);
+}
+
+.demo-case-note dl > div {
+  min-width: 0;
+  padding: 0.72rem;
+  border-right: 1px solid var(--paper-deep);
+  border-bottom: 1px solid var(--paper-deep);
+}
+
+.demo-case-note dt {
+  color: var(--paper-deep);
+  font-family: var(--mono);
+  font-size: 0.57rem;
+  font-weight: 800;
+  letter-spacing: 0.07em;
+  text-transform: uppercase;
+}
+
+.demo-case-note dd {
+  margin: 0.35rem 0 0;
+  color: var(--paper-bright);
+  font-family: var(--mono);
+  font-size: 0.69rem;
+  font-weight: 800;
+  overflow-wrap: anywhere;
+}
+
+input[type="range"] {
+  height: 2.8rem;
+  padding: 0;
+  border: 0;
+  accent-color: var(--orange);
+  background: transparent;
+}
+
+input[type="range"]::-webkit-slider-runnable-track {
+  height: 0.45rem;
+  border: 1px solid var(--ink);
+  background: var(--paper-deep);
+}
+
+input[type="range"]::-webkit-slider-thumb {
+  width: 1.3rem;
+  height: 1.3rem;
+  margin-top: -0.49rem;
+  appearance: none;
+  border: 2px solid var(--ink);
+  border-radius: 0;
+  background: var(--orange);
+}
+
+input[type="range"]::-moz-range-track {
+  height: 0.45rem;
+  border: 1px solid var(--ink);
+  background: var(--paper-deep);
+}
+
+input[type="range"]::-moz-range-thumb {
+  width: 1.15rem;
+  height: 1.15rem;
+  border: 2px solid var(--ink);
+  border-radius: 0;
+  background: var(--orange);
+}
+
+.model-status {
+  min-height: 2.6rem;
+  margin: 1.4rem 0 0;
+  padding: 0.7rem 0;
+  border-top: var(--border);
+  border-bottom: var(--border);
+  color: var(--muted);
+  font-family: var(--mono);
+  font-size: 0.63rem;
+  font-weight: 800;
+  letter-spacing: 0.055em;
+  line-height: 1.45;
+  text-transform: uppercase;
+}
+
+.model-status::before {
+  display: inline-block;
+  width: 0.52rem;
+  height: 0.52rem;
+  margin-right: 0.5rem;
+  border-radius: 50%;
+  background: var(--orange);
+  content: "";
+}
+
+.status-strip > div {
+  display: flex;
+  align-items: center;
+  gap: 0.55rem;
+}
+
+.status-strip span {
+  color: var(--muted);
+  font-size: 0.57rem;
+}
+
+.status-strip strong {
+  font-size: 0.7rem;
+}
+
+.status-standard {
+  border-color: var(--success);
+  background: #d8e8df;
+}
+
+.status-review {
+  border-color: var(--orange-deep);
+  background: #ffd9c7;
+}
+
+.status-error {
+  border-color: var(--danger);
+  background: #f2d6d2;
+}
+
+.demo-output {
+  margin-top: var(--space-5);
+  scroll-margin-top: 5.5rem;
+}
+
+.demo-output > .stats-grid {
+  border-top: 0;
+}
+
+.stats-grid.compact .stat-card {
+  min-height: 8.5rem;
+  background: var(--paper-bright);
+}
+
+.stats-grid.compact .stat-card strong {
+  font-size: clamp(1.8rem, 3vw, 3.25rem);
+}
+
+.table-block {
+  border-right: var(--border-heavy);
+  border-bottom: var(--border-heavy);
+  border-left: var(--border-heavy);
+  background: var(--paper-bright);
+}
+
+.table-heading {
+  display: flex;
+  min-height: 4.5rem;
+  padding: 1rem 1.2rem;
+  align-items: center;
+  justify-content: space-between;
+  gap: 1rem;
+  border-bottom: var(--border-heavy);
+  color: var(--paper-bright);
+  background: var(--ink);
+}
+
+.table-heading .section-label {
+  margin: 0;
+}
+
+.table-heading > p:last-child {
+  margin: 0;
+  color: var(--paper-deep);
+  font-family: var(--mono);
+  font-size: 0.64rem;
+  text-align: right;
+  text-transform: uppercase;
+}
+
+.table-scroll {
+  max-width: 100%;
+  overflow-x: auto;
+}
+
+.table-scroll table {
+  min-width: 48rem;
+  margin: 0;
+  border: 0;
+}
+
+.amount {
+  font-family: var(--mono);
+  font-variant-numeric: tabular-nums;
+  font-weight: 750;
+  white-space: nowrap;
+}
+
+.signal {
+  display: inline-flex;
+  padding: 0.28rem 0.42rem;
+  border: 1px solid currentColor;
+  color: var(--ink-soft);
+  background: var(--paper-deep);
+  font-family: var(--mono);
+  font-size: 0.59rem;
+  font-weight: 850;
+  letter-spacing: 0.035em;
+  line-height: 1.25;
+  text-transform: uppercase;
+  white-space: nowrap;
+}
+
+.signal-none,
+.signal-match {
+  color: var(--success);
+  background: #d8e8df;
+}
+
+.signal-bank-fee,
+.signal-review,
+.signal-unmatched {
+  color: var(--orange-deep);
+  background: #ffd9c7;
+}
+
+.record-details {
+  border: var(--border-heavy);
+  border-top: 0;
+}
+
+.record-grid {
+  display: grid;
+  margin: 0 !important;
+  grid-template-columns: repeat(2, minmax(0, 1fr));
+}
+
+.record-grid > div {
+  min-width: 0;
+  padding: var(--space-4);
+}
+
+.record-grid > div + div {
+  border-left: var(--border-heavy);
+}
+
+.record-grid h3 {
+  margin: 0 0 1rem;
+  font-family: var(--display);
+  font-size: 1.25rem;
+  letter-spacing: -0.03em;
+  text-transform: uppercase;
+}
+
+.disclosure-panel {
+  position: relative;
+  padding: clamp(2.5rem, 6vw, 5.5rem) var(--gutter);
+  overflow: hidden;
+  border-right: var(--border-heavy);
+  border-bottom: var(--border-heavy);
+  border-left: var(--border-heavy);
+  background: var(--orange);
+}
+
+.disclosure-panel::after {
+  position: absolute;
+  right: -0.06em;
+  bottom: -0.3em;
+  color: rgba(17, 17, 15, 0.09);
+  content: "!";
+  font-family: var(--display);
+  font-size: clamp(12rem, 31vw, 30rem);
+  font-weight: 950;
+  line-height: 0.7;
+  pointer-events: none;
+}
+
+.disclosure-panel > * {
+  position: relative;
+  z-index: 1;
+  max-width: 72ch;
+}
+
+.disclosure-panel .section-label {
+  color: var(--paper-bright);
+  background: var(--ink);
+}
+
+.disclosure-panel h2 {
+  max-width: 13ch;
+  margin: 0 0 1.5rem;
+  font-family: var(--display);
+  font-size: clamp(2.6rem, 6vw, 6rem);
+  font-weight: 950;
+  letter-spacing: -0.07em;
+  line-height: 0.88;
+  text-transform: uppercase;
+}
+
+.disclosure-panel > p:not(.section-label) {
+  color: var(--ink);
+  font-size: 1.05rem;
+  font-weight: 600;
+}
+
+.link-row {
+  display: flex;
+  margin-top: var(--space-5);
+  flex-wrap: wrap;
+  gap: 0.65rem;
+}
+
+.link-row a {
+  display: inline-flex;
+  min-height: 2.8rem;
+  padding: 0.7rem 0.85rem;
+  align-items: center;
+  border: var(--border-heavy);
+  color: var(--ink);
+  background: var(--paper-bright);
+  font-family: var(--mono);
+  font-size: 0.66rem;
+  font-weight: 900;
+  letter-spacing: 0.04em;
+  text-decoration: none;
+  text-transform: uppercase;
+}
+
+.link-row a:hover {
+  color: var(--paper-bright);
+  background: var(--ink);
+}
+
+@media (max-width: 980px) {
+  .demo-shell {
+    grid-template-columns: 1fr;
+  }
+
+  .demo-case-note {
+    min-height: 22rem;
+    border-top: var(--border-heavy);
+    border-left: 0;
+  }
+
+  .record-grid {
+    grid-template-columns: 1fr;
+  }
+
+  .record-grid > div + div {
+    border-top: var(--border-heavy);
+    border-left: 0;
+  }
+}
+
+@media (max-width: 720px) {
+  .topbar {
+    min-height: 3.8rem;
+  }
+
+  .topbar .wordmark {
+    min-width: 0;
+    padding-inline: 0.8rem;
+  }
+
+  .topbar .wordmark > span:last-child {
+    display: none;
+  }
+
+  .topbar nav {
+    max-width: calc(100% - 4rem);
+  }
+
+  .topbar nav a {
+    min-height: 3.7rem;
+    padding-inline: 0.8rem;
+  }
+
+  .status-strip,
+  .table-heading {
+    align-items: flex-start;
+    flex-direction: column;
+  }
+
+  .status-strip > div {
+    width: 100%;
+    justify-content: space-between;
+  }
+
+  .table-heading > p:last-child {
+    text-align: left;
+  }
+
+  .demo-case-note dl {
+    grid-template-columns: 1fr;
+  }
+}
+
+@media print {
+  .topbar {
+    display: none !important;
+  }
+}
+
+/* Final semantic-hook corrections. */
+
+.hero-copy {
+  justify-content: flex-start;
 }
 
-h1 {
-	font-size: 16px;
-	margin-top: 0;
+.hero-copy > .eyebrow {
+  margin: 0 0 var(--space-4);
+  font-size: 0.68rem;
+  line-height: 1.2;
 }
 
-p {
-	color: rgb(107, 114, 128);
-	font-size: 15px;
-	margin-bottom: 10px;
-	margin-top: 5px;
+.hero-aside .audit-stamp {
+  border-color: var(--orange);
+  color: var(--orange);
 }
 
-.card {
-	max-width: 620px;
-	margin: 0 auto;
-	padding: 16px;
-	border: 1px solid lightgray;
-	border-radius: 16px;
+.signal-matched {
+  color: var(--success);
+  background: #d8e8df;
 }
 
-.card p:last-child {
-	margin-bottom: 0;
+.signal-timing,
+.signal-duplicate {
+  color: var(--orange-deep);
+  background: #ffd9c7;
 }