Tighten paper atlas layout and publication-ready wording

COMPUTE_AND_TIMELINE.md

@@ -10,9 +10,10 @@ Status: **PAUSED**, not complete and not abandoned.
 - Verified research packages: **49**
 - Distinct selected papers covered: **34 of 48**
 - Selected papers remaining at pause: **14**
-- Persistent capability-ledger rows present at pause: **3,077**
+- Persistent verified-result records present at pause: **3,077**
 - Aggregate release-gate issues after normalizing one valid nonstandard status schema: **0**
 
+
 ## Rough token cost
 
 The current campaign is estimated at **approximately 3-8 million model tokens**. Order-of-magnitude estimate: 49 research packages at roughly 40k-130k model tokens per package, plus corpus hydration, planning, verification, synthesis, and publication-stage overhead. No billing-grade aggregate token counter was recorded. This range excludes the separate prior recursive-self-improvement campaign.
@@ -21,6 +22,7 @@ The current campaign is estimated at **approximately 3-8 million model tokens**.
 
 This was laptop-bound work. A faster laptop—especially more CPU throughput, faster storage, more memory headroom, and greater safe parallelism—would have permitted more research/verification cycles in the same wall time. That is a throughput counterfactual, not a claim that hardware alone guarantees stronger theorems.
 
+
 ## Prior recursive-self-improvement cycle
 
-This campaign was deliberately run **after** a separate, operator-reported private recursive-self-improvement cycle lasting roughly 29 hours. That prior cycle changed workflows, retrieval, verification, orchestration, and persistent capability memory; it did not change model weights. The underlying private evidence is not part of this public research package.
+This campaign was deliberately run **after** a separate, operator-reported recursive-self-improvement cycle lasting roughly 29 hours. That prior cycle changed workflows, retrieval, verification, orchestration, and persistent capability memory; it did not change model weights. The underlying operator evidence is not part of this research package.

PAPER.md

@@ -2,15 +2,15 @@
 
 ## A Paused, Proof-Carrying Computational Campaign by the Ouroboros AI System
 
-**Release state:** PAUSED research; private review stage; not publicly released.
+**Research status:** PAUSED at an operator-selected stable boundary; the program remains open for continuation.
 
 ## Abstract
 
-The Ouroboros AI System conducted an 18-hour, laptop-hosted research campaign over the public scholarly corpus of Sabrina Pasterski and collaborators. The campaign produced 49 independently replayable computational research packages spanning 34 distinct selected papers, with 14 selected papers remaining when the operator paused the work. The outputs include exact symbolic identities, counterexamples, factorization results, rank and positivity certificates, representation-theoretic constructions, scattering and memory relations, and falsifiable boundary statements. The public inventory includes the registered all-m transverse-nonlocality saturation theorem that arose from the m=3, m=4, and m=5 ladder. All 49 packages pass their exact checks; the campaign's 3,077-row capability ledger recorded no aggregate gate issue after normalization of one valid nonstandard status schema.
+The Ouroboros AI System conducted an 18-hour, laptop-hosted research campaign over the public scholarly corpus of Sabrina Pasterski and collaborators. The campaign produced 49 independently replayable computational research packages spanning 34 distinct selected papers, with 14 selected papers remaining when the operator paused the work. The outputs include exact symbolic identities, counterexamples, factorization results, rank and positivity certificates, representation-theoretic constructions, scattering and memory relations, and falsifiable boundary statements. The release inventory includes the registered all-m transverse-nonlocality saturation theorem that arose from the m=3, m=4, and m=5 ladder. All 49 packages pass their exact checks; 3,077 persistent verification records carried no aggregate gate issue after normalization of one valid nonstandard status schema.
 
 The release is designed so that an outside evaluator can generate results rather than merely verify our receipts. Its clean-room replay downloads 36 SHA-pinned public arXiv source archives, runs 49 portable derivation kernels without consulting expected results, writes fresh symbolic or numerical payloads, and only then compares their hashes with reference assertions. Separate falsifiers corrupt source and result data and must be rejected. Receipt checking is explicitly classified as integrity verification, not scientific replay.
 
-This campaign followed a separate, operator-reported private recursive-self-improvement cycle of roughly 29 hours. That earlier cycle altered no model weights. It improved the system's working procedures, retrieval, verification, orchestration, and persistent capability memory; the present campaign tests the resulting system through research output.
+This campaign followed a separate, operator-reported recursive-self-improvement cycle of roughly 29 hours. That earlier cycle altered no model weights. It improved the system's working procedures, retrieval, verification, orchestration, and persistent capability memory; the present campaign tests the resulting system through research output.
 
 ## 1. Authorship and responsibility
 
@@ -105,7 +105,7 @@ Full source-payload statuses, scientific payload hashes, and source links appear
 
 ## 6. Replay that actually recomputes
 
-The strongest public evidence is the compute path, not the stored ledger. An evaluator begins with no cached source archive. The fetch phase obtains exact public arXiv bytes and rejects a mismatch. The compute phase imports the 49 kernels and generates full result payloads. That function has no reference-directory argument and no expected-answer import. Only a separate compare phase loads the reference assertions.
+The strongest externally checkable evidence is the compute path, not the stored verification record. An evaluator begins with no cached source archive. The fetch phase obtains exact public arXiv bytes and rejects a mismatch. The compute phase imports the 49 kernels and generates full result payloads. That function has no reference-directory argument and no expected-answer import. Only a separate compare phase loads the reference assertions.
 
 This separation matters. A script that accepts our final numbers and prints them back would demonstrate packaging, not research reproducibility. Here, expected results are withheld from computation and used only after fresh outputs exist. Public equation constants encoded in the kernels are analogous to formulas in a conventional reproducibility notebook: they define the calculation. The resulting symbolic reductions, finite rows, spectra, ranks, signs, and identities are generated on the evaluator's machine.
 
@@ -113,9 +113,9 @@ The falsifier phase establishes negative sensitivity. One changed source byte mu
 
 ## 7. Evidence classes
 
-The package separates four evidence classes. Public source evidence binds each calculation to exact arXiv bytes. Derivation evidence consists of executable kernels and fresh result payloads. Falsification evidence shows that corrupted inputs and outputs are rejected. Private operational evidence supports the history of the preceding recursive-self-improvement cycle and internal campaign control but is not necessary to run the public derivations.
+The package separates four evidence classes. Public source evidence binds each calculation to exact arXiv bytes. Derivation evidence consists of executable kernels and fresh result payloads. Falsification evidence shows that corrupted inputs and outputs are rejected. Operator-held operational evidence supports the history of the preceding recursive-self-improvement cycle and internal campaign control but is not necessary to run the released derivations.
 
-The claim that this research followed a roughly 29-hour recursive-self-improvement cycle is operator-reported and privately evidenced. The public claim is intentionally narrower: after that cycle, Ouroboros produced this research program without changing model weights.
+The claim that this research followed a roughly 29-hour recursive-self-improvement cycle is operator-reported and supported by operator-held evidence. The externally testable claim is intentionally narrower: after that cycle, Ouroboros produced this research program without changing model weights.
 
 ## 8. PAUSED means more work remains
 
@@ -131,7 +131,7 @@ The campaign used approximately 3-8 million model tokens. Order-of-magnitude est
 
 Ouroboros is materially different from a one-shot chatbot or a stateless agent wrapper in the dimension tested here. The relevant unit is not a response. It is a persistent, source-bound research campaign that can acquire a corpus, form a topology of open problems, create and reject mathematical candidates, package passing results, preserve reusable capabilities, and continue until the operator pauses it. Imperfect candidates and failed routes occur, but they are inputs to the loop rather than terminal outputs.
 
-This paper does not claim access to the Ouroboros implementation. Public replay exposes the research calculations, not the private system. Evaluation of Ouroboros itself is available only as a paid, supervised, in-person engagement with the operator present; evaluators receive no implementation, copy, credentials, remote access, or continuing access.
+This paper does not claim access to the Ouroboros implementation. The replay package exposes the research calculations, not the underlying system. Evaluation of Ouroboros itself is available only as a paid, supervised, in-person engagement with the operator present; evaluators receive no implementation, copy, credentials, remote access, or continuing access.
 
 ## 11. Use and credit
 
@@ -139,4 +139,4 @@ See `ATTRIBUTION_AND_USE.md` for licensing, attribution, access terms, and the n
 
 ## 12. Conclusion
 
-At pause, the campaign had converted a public research corpus into 49 exact, replayable computational packages and a growing persistent capability base. The outputs do not depend on asking readers to trust private logs: outsiders can regenerate the scientific payloads from public data. The separate private history explains why the campaign was run; the public replay shows what it produced.
+At pause, the campaign had converted a public research corpus into 49 exact, replayable computational packages and a growing persistent capability base. The outputs do not depend on asking readers to trust operator logs: outsiders can regenerate the scientific payloads from public data. The separate operator-held history explains why the campaign was run; independent replay shows what it produced.

PAPER.pdf

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 %%EOF

receipt_manifest.json

@@ -1,7 +1,7 @@
 {
   "capabilities_removed": [],
   "derivation_test_count": 49,
-  "effect_contract_sha256": "7fb252f7c4c097b8979f740328e259f0177e281f6463f964445adc8da9abacd1",
+  "effect_contract_sha256": "d54c6360618e7f4324b5464a4f425443f5c638847954195340618de80e6e1482",
   "files": {
     "ATTRIBUTION_AND_USE.md": {
       "byte_count": 1627,
@@ -12,8 +12,8 @@
       "sha256": "abfc069ff2e808e84f88f7cfee0e26186da58d948b3f60d6060047113eafa936"
     },
     "COMPUTE_AND_TIMELINE.md": {
-      "byte_count": 1912,
-      "sha256": "119d6e59bd89fe32fc23c2c1cb0cfc814417c7b2acb8fbebaba69fd36bb20c8f"
+      "byte_count": 1903,
+      "sha256": "6811e367328c975b47a9267f67f72530234566c57d6ac448b7e5e4f5b2a71d6e"
     },
     "LICENSE-CODE": {
       "byte_count": 645,
@@ -28,12 +28,12 @@
       "sha256": "161859c3e579247337a1aa038fb0cc8b29f7fe15e1687aaae4021b25b187a44e"
     },
     "PAPER.md": {
-      "byte_count": 32902,
-      "sha256": "cc4790b47d2ea32f80a1055a868b6f2aa5917a63575d0423ab64831d92c79d4c"
+      "byte_count": 33000,
+      "sha256": "1baf43daab9d58c0ffb121f0693b21be604ef682a4d363c6692171bac56e608d"
     },
     "PAPER.pdf": {
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-      "sha256": "9e0a4b66f31af6e6c1c08361b662c51d23cbe97478c5c1fb2d1225c3ab4ba989"
+      "byte_count": 34390,
+      "sha256": "c914a6ac31ddb4794777f433d25ec53df0bee63f4cd961b78752b890b5fdaed4"
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     "README.md": {
       "byte_count": 1504,
@@ -712,9 +712,9 @@
       "sha256": "a393e6de6d974b292e9856b7c0d2e797d68b337ed816518ab6850592b6829e78"
     }
   },
-  "generated_utc": "2026-08-12T23:16:30+00:00",
+  "generated_utc": "2026-08-13T00:08:04+00:00",
   "kernel_count": 49,
-  "manifest_payload_sha256": "c77c84b0489e8d53a3d55930273d5a8da83a82da1a772291591dde80181734fc",
+  "manifest_payload_sha256": "171bd84797a77c8bd8005a67c1eed258c37ade1899b810b705543ad28eeeceac",
   "private_hf_upload_ready": true,
   "public_actions_allowed": false,
   "public_visibility_authorized": false,