// SPDX-License-Identifier: Apache-2.0 // © 2026 Lutar, Stephen P. — SZL Holdings · ORCID 0009-0001-0110-4173 · Doctrine v11 // // surfaces/edgefusion.js — EDGEFUSION: energy-proportional, Λ-gated multi-sensor // edge fusion (SZL synthesis) for the holographic frontier ring. Heterogeneous // sensors sit on an outer arc; each modeled track flows inward, is FUSED by // inverse-variance weighting, and passes a central Λ-GATE (Λ = Conjecture 1 — // gray, NEVER green). Admitted tracks glow proof-teal, Λ-gated / inconsistent // tracks stay grey. The gate core scales with the CAPPED trust (≤0.97). A compact // HUD shows the fusion / energy / gate stats and the signed-fusion-receipt-per- // write DESIGN (nothing minted on a read). Live snapshot: // /api/a11oy/v1/frontier/edgefusion // // This is an SZL CROSS-AXIS SYNTHESIS no published system ships together: // multi-sensor fusion (BEVFusion / TransFuser / VINS-Fusion) + energy- // proportional / carbon-aware inference (MLPerf Power / CarbonCall) + a // neuromorphic (SNN / Loihi) efficiency factor + the Λ trust gate + a signed // fusion-receipt-per-write chain. // // LEADERS ADOPTED & CITED (clean-room; NOT claimed as SZL's own): // BEVFusion — Liu et al. 2022, arXiv:2205.13542 // TransFuser — Chitta et al. 2022, arXiv:2205.15997 // VINS-Fusion — HKUST-Aerial-Robotics // MLPerf Power — Tschand et al. 2024, arXiv:2410.12032 // CarbonCall — 2025, arXiv:2504.20348 // snnTorch — Eshraghian et al. 2021, arXiv:2109.12894 // Loihi — Davies et al. 2018, IEEE Micro // // HONESTY LABELS: MODELED (deterministic multi-sensor scene + inverse-variance // fusion + parametric joules model; read VERBATIM from JSON, never upgraded). // The SZL SYNTHESIS is CONJECTURE: Λ as a per-track trust gate is Λ = Conjecture // 1 (gray, never green), and the signed-fusion-receipt-per-write chain is design- // only (RECEIPT-ON-WRITE — nothing minted or signed on this GET). Energy is // MODELED, NOT MEASURED (no NVML/RAPL/Loihi meter wired). Trust capped at 0.97. // COLOURS: lattice-blue 0x5b8dee (sensors / track links), violet-blue 0x8a6bff // (Λ-gate ring), proof-teal 0x3af4c8 (admitted track / accent), greys (gated-out // / inconsistent / degraded). Purple BANNED. // 0 RUNTIME CDN. three.js via ctx.THREE (vendored by the page importmap). // DOCTRINE v11: degrades gracefully (grey) on 404/error; honesty label still shown. // Nothing here is in the locked-8 (adds 0). Λ stays Conjecture 1. Trust never 100%. import { createShowcase } from "./_showcase.js"; const ID = "edgefusion"; const TITLE = "EdgeFusion · Λ-Gated Energy-Proportional Sensor Fusion (live)"; // Served SAME-ORIGIN by szl_edgefusion.py — a deterministic governed-fusion model. const EP = "/api/a11oy/v1/frontier/edgefusion?seed=42&n_tracks=48&n_sensors=4&horizon=64"; // data-viz hues — purple BANNED const C_SENSOR = 0x5b8dee; // lattice-blue (sensor emitter / track link) const C_GATE = 0x8a6bff; // violet-blue (Λ-gate ring) const C_ADMIT = 0x3af4c8; // proof-teal (admitted track / accent) const C_GATED = 0x5a6570; // grey (Λ-gated-out / inconsistent) const C_DIM = 0x42505d; // grey (degraded / no-live-data) const C_GRID = 0x1b3a44; // floor / link colour // layout geometry const SENSOR_R = 7.0; // radius of the outer sensor arc const MAX_TRACK = 96; // cap on track meshes rendered (matches backend _TRACK_CAP) const MAX_SENS = 6; // cap on sensor emitters (matches backend _SENSOR_BANK) const GATE_Y = 0.7; // height of the central Λ-gate core let _stage = null, _THREE = null, _ctx = null, _group = null, _show = null; let _frameReg = false, _polls = [], _badge = null, _f = {}; // geometry handles let _floor = null; let _sensMesh = []; // Array — sensor emitters on the outer arc let _gateRing = null; // THREE.LineLoop — Λ-gate ring let _core = null; // THREE.Mesh — central gate core (scales with trust) let _trkMesh = []; // Array — fused-track particles let _trkLine = []; // Array — track -> gate links // live state const S = { label: null, nTracks: null, nSensors: null, horizon: null, sensors: null, // sensors[] {name, sigma, joules} tracks: null, // tracks[] (per-track) admits: null, gatedOut: null, meanConf: null, meanAgree: null, consistencyRate: null, meanLambda: null, lambdaMax: null, admitThresh: null, trust: null, trustCap: null, joules: null, joulesIdle: null, neuro: null, neuroFactor: null, receiptSigned: null, receiptDigest: null, state: "init", }; // ============================================================================= // mount(ctx) // ============================================================================= export function mount(ctx) { _ctx = ctx; _stage = ctx.stage; _THREE = ctx.THREE; _group = new _THREE.Group(); _stage.scene.add(_group); _stage.camera.position.set(0, 10, 22); try { if (_stage.controls && _stage.controls.target) { _stage.controls.target.set(0, 1.2, 0); _stage.controls.update(); } } catch (_) {} try { _stage.setBloom(true); } catch (_) {} _buildFloor(); _buildSensors(); _buildGate(); _buildTracks(); if (!_frameReg && _stage.onFrame) { _stage.onFrame(_onFrame); _frameReg = true; } _badge = ctx.live.createBadge(); _buildShowcase(ctx); // top-N sensor labels (billboarded) + hover tooltip via the shared helper. _show.attachSceneLabels({ objects: () => _sensMesh.filter((m) => m.visible), text: (o) => (o && o.userData && o.userData.label) || "", weight: (o) => (o && o.userData ? o.userData.weight : 0), topN: MAX_SENS, hover: true, }); _polls.push(ctx.live.poll(EP, 5000, _onData, { badge: _badge, onState: (m) => { S.state = m.state; _paint(); }, })); return { id: ID, started: true }; } // ============================================================================= // builders // ============================================================================= function _buildFloor() { const THREE = _THREE; const grid = new THREE.GridHelper(48, 48, C_GRID, 0x0f2027); grid.material.opacity = 0.18; grid.material.transparent = true; grid.position.y = -0.01; _group.add(grid); _floor = grid; } // Sensor emitters: up to MAX_SENS nodes on the outer arc (front hemisphere), each // a lattice-blue node; a lower-sigma (better) sensor is drawn larger + weighted // higher for the top-N label ranking. function _buildSensors() { const THREE = _THREE; const geo = new THREE.OctahedronGeometry(0.34, 0); for (let i = 0; i < MAX_SENS; i++) { const a = Math.PI * (0.15 + 0.7 * (i / Math.max(1, MAX_SENS - 1))); // front arc const mesh = new THREE.Mesh( geo, new THREE.MeshStandardMaterial({ color: C_SENSOR, emissive: C_SENSOR, emissiveIntensity: 0.25, transparent: true, opacity: 0.0 }), ); mesh.position.set(Math.cos(a) * SENSOR_R, 1.1, Math.sin(a) * SENSOR_R); mesh.visible = false; mesh.userData = { label: "", weight: 0 }; _group.add(mesh); _sensMesh.push(mesh); } } // Central Λ-gate: an advisory ring + a core that scales with the CAPPED trust. function _buildGate() { const THREE = _THREE; { const pts = []; for (let i = 0; i <= 64; i++) { const a = (i / 64) * Math.PI * 2; pts.push(new THREE.Vector3(Math.cos(a) * 1.9, GATE_Y, Math.sin(a) * 1.9)); } const g = new THREE.BufferGeometry().setFromPoints(pts); const m = new THREE.LineBasicMaterial({ color: C_GATE, transparent: true, opacity: 0.45 }); _gateRing = new THREE.LineLoop(g, m); _group.add(_gateRing); } _core = new THREE.Mesh( new THREE.IcosahedronGeometry(0.75, 1), new THREE.MeshStandardMaterial({ color: C_GATE, emissive: C_GATE, emissiveIntensity: 0.4, wireframe: true, transparent: true, opacity: 0.85 }), ); _core.position.set(0, GATE_Y, 0); _group.add(_core); } // Fused-track particles: pre-allocated spheres arranged on a deterministic spiral // between the sensor arc and the gate, each with a link line toward the gate core. function _buildTracks() { const THREE = _THREE; const geo = new THREE.SphereGeometry(0.13, 8, 8); const golden = Math.PI * (3 - Math.sqrt(5)); for (let i = 0; i < MAX_TRACK; i++) { const t = (i + 1) / MAX_TRACK; const r = 2.6 + (SENSOR_R - 3.4) * Math.sqrt(t); const a = i * golden; const mesh = new THREE.Mesh( geo, new THREE.MeshStandardMaterial({ color: C_SENSOR, emissive: C_SENSOR, emissiveIntensity: 0.15, transparent: true, opacity: 0.0 }), ); mesh.position.set(Math.cos(a) * r, 0.5 + 0.6 * Math.sin(t * 6.283), Math.sin(a) * r); mesh.visible = false; _group.add(mesh); _trkMesh.push(mesh); const lg = new THREE.BufferGeometry().setFromPoints([mesh.position.clone(), new THREE.Vector3(0, GATE_Y, 0)]); const lm = new THREE.LineBasicMaterial({ color: C_SENSOR, transparent: true, opacity: 0.0 }); const line = new THREE.Line(lg, lm); line.visible = false; _group.add(line); _trkLine.push(line); } } // ============================================================================= // live data handler // ============================================================================= function _onData(j) { const p = (j && typeof j.payload === "object" && j.payload) ? j.payload : j; const rawLabel = (j && j.label) || (p && p.label) || "MODELED"; S.label = String(rawLabel).toUpperCase(); S.nTracks = typeof p.n_tracks === "number" ? p.n_tracks : null; S.nSensors = typeof p.n_sensors === "number" ? p.n_sensors : null; S.horizon = typeof p.horizon === "number" ? p.horizon : null; S.sensors = Array.isArray(p.sensors) ? p.sensors : null; S.tracks = Array.isArray(p.tracks) ? p.tracks : null; const fus = (p && typeof p.fusion === "object") ? p.fusion : {}; S.admits = typeof fus.admitted === "number" ? fus.admitted : null; S.gatedOut = typeof fus.gated_out === "number" ? fus.gated_out : null; S.meanConf = typeof fus.mean_fused_confidence === "number" ? fus.mean_fused_confidence : null; S.meanAgree = typeof fus.mean_sensor_agreement === "number" ? fus.mean_sensor_agreement : null; S.consistencyRate = typeof fus.consistency_rate === "number" ? fus.consistency_rate : null; const g = (p && typeof p.lambda_gate === "object") ? p.lambda_gate : {}; S.meanLambda = typeof g.mean_lambda_advisory === "number" ? g.mean_lambda_advisory : null; S.admitThresh = typeof g.admit_threshold === "number" ? g.admit_threshold : null; S.lambdaMax = (g.bounds && typeof g.bounds.max === "number") ? g.bounds.max : null; S.trust = typeof g.trust === "number" ? g.trust : null; S.trustCap = typeof g.trust_cap === "number" ? g.trust_cap : null; const e = (p && typeof p.energy === "object") ? p.energy : {}; S.joules = typeof e.joules_per_inference === "number" ? e.joules_per_inference : null; S.joulesIdle = typeof e.joules_idle_floor === "number" ? e.joules_idle_floor : null; S.neuro = typeof e.neuromorphic === "boolean" ? e.neuromorphic : null; S.neuroFactor = typeof e.neuromorphic_factor === "number" ? e.neuromorphic_factor : null; const rd = (p && typeof p.receipt_design === "object") ? p.receipt_design : {}; S.receiptSigned = typeof rd.signed === "boolean" ? rd.signed : null; S.receiptDigest = typeof rd.receipt_preview_digest === "string" ? rd.receipt_preview_digest : null; _updateScene(); _paint(); } // ============================================================================= // geometry updater // ============================================================================= function _updateScene() { const live = S.state === "live"; // gate ring degrades to grey when not live if (_gateRing) { _gateRing.material.color.setHex(live ? C_GATE : C_DIM); _gateRing.material.opacity = live ? 0.45 : 0.12; } // sensor emitters: light up the active sensor set; size ~ inverse sigma (better // sensor = larger), label = name + sigma, weight for the top-N ranking. const sens = live && S.sensors ? S.sensors : []; for (let i = 0; i < MAX_SENS; i++) { const mesh = _sensMesh[i]; const s = i < sens.length ? sens[i] : null; if (!s) { mesh.visible = false; mesh.userData.label = ""; mesh.userData.weight = 0; continue; } mesh.visible = true; const sigma = typeof s.sigma === "number" ? s.sigma : 0.5; const w = 1 / Math.max(0.05, sigma); mesh.userData.label = (s.name || ("s" + i)) + " σ" + sigma.toFixed(2); mesh.userData.weight = w; mesh.material.color.setHex(live ? C_SENSOR : C_DIM); mesh.material.emissive.setHex(live ? C_SENSOR : C_DIM); mesh.material.emissiveIntensity = live ? 0.3 : 0.1; mesh.material.opacity = live ? 0.9 : 0.3; mesh.scale.setScalar(0.7 + Math.min(1.4, w * 0.28)); } // fused tracks: colour by verdict — admitted proof-teal, Λ-gated/inconsistent // grey (the advisory verdict is always shown, never hidden). Size ~ fused conf. const trk = live && S.tracks ? S.tracks.slice(0, MAX_TRACK) : []; for (let i = 0; i < MAX_TRACK; i++) { const mesh = _trkMesh[i]; const line = _trkLine[i]; const t = i < trk.length ? trk[i] : null; if (!t) { mesh.visible = false; line.visible = false; continue; } mesh.visible = true; line.visible = true; const admitted = !!t.admitted; const conf = typeof t.fused_confidence === "number" ? t.fused_confidence : 0.5; const col = admitted ? C_ADMIT : C_GATED; mesh.material.color.setHex(col); mesh.material.emissive.setHex(col); mesh.material.emissiveIntensity = admitted ? 0.6 : 0.12; mesh.material.opacity = admitted ? 0.95 : 0.4; mesh.scale.setScalar(0.7 + conf * 1.0); line.material.color.setHex(col); line.material.opacity = admitted ? 0.5 : 0.15; } // gate core: colour + size reflect the CAPPED trust (never green / never 1.0). if (_core) { if (live && S.trust != null) { _core.material.color.setHex(C_ADMIT); _core.material.emissive.setHex(C_ADMIT); _core.material.opacity = 0.85; _core.scale.setScalar(0.6 + S.trust * 1.0); } else { _core.material.color.setHex(C_DIM); _core.material.emissive.setHex(C_DIM); _core.material.opacity = 0.3; _core.scale.setScalar(0.6); } } } // ============================================================================= // per-frame animation // ============================================================================= function _onFrame() { const t = (typeof performance !== "undefined" ? performance.now() : Date.now()); if (_group) _group.rotation.y = Math.sin(t * 0.00007) * 0.12; if (_gateRing) _gateRing.rotation.y += 0.0015; if (_core) { _core.rotation.y += 0.02; _core.rotation.x += 0.008; const pulse = 1.0 + 0.1 * Math.sin(t * 0.0035); const base = (S.state === "live" && S.trust != null) ? (0.6 + S.trust * 1.0) : 0.6; _core.scale.setScalar(base * pulse); } } // ============================================================================= // showcase overlay (shared helper) — compact chrome + collapsible KPIs // ============================================================================= function _buildShowcase(ctx) { _show = createShowcase(ctx, { id: ID, title: TITLE, accent: "#5b8dee", badge: _badge, chips: [ { label: "MODELED", text: "fusion + energy", name: "ef" }, { label: "STRUCTURAL-ONLY", text: "Λ=Conjecture 1 · receipt design", name: "syn" }, ], legend: ["MODELED", "STRUCTURAL-ONLY"], description: "EdgeFusion. Heterogeneous sensors (outer arc) feed MODELED tracks that are " + "fused by inverse-variance weighting, then pass a central Λ-gate " + "(Λ = Conjecture 1 — gray, NEVER green). Admitted tracks glow proof-teal, Λ-gated / " + "inconsistent tracks stay grey; the core scales with the capped trust (≤0.97). A " + "MODELED joules-per-inference readout scales with the active sensor+track workload " + "(energy-proportional; optional neuromorphic factor). Energy is MODELED, not " + "MEASURED — no NVML/RAPL/Loihi meter is wired.", citations: "BEVFusion arXiv:2205.13542 · TransFuser 2205.15997 · VINS-Fusion (HKUST) · " + "MLPerf Power 2410.12032 · CarbonCall 2504.20348 · snnTorch 2109.12894 · Loihi (IEEE Micro 2018). " + "MODELED/CONJECTURE · not claimed-as. Nothing here is in the locked-8.", plain: { html: () => "Many different sensors (camera, lidar, radar, …) each see the world imperfectly. " + "EdgeFusion combines them so the good sensors count more — that's the inward flow to " + "the middle. A trust gate in the centre decides which combined tracks are " + "reliable enough to act on: teal = admitted, grey = held back. It also estimates the " + "energy per decision so an edge device can stay power-frugal. The gate is a " + "restraint idea we call Λ — an honest conjecture, so it's drawn grey and its " + "trust never hits 100%. Nothing is signed or saved just by looking at this page.", }, }); _f.workload = _show.addField("sensors / tracks", "workload"); _f.conf = _show.addField("mean fused confidence", "conf"); _f.agree = _show.addField("mean sensor agreement", "agree"); _f.cons = _show.addField("consistency rate", "cons"); _f.lambda = _show.addField("mean Λ advisory (gray)", "lambda"); _f.gate = _show.addField("Λ-gate admits / gated-out", "gate"); _f.trust = _show.addField("trust (capped ≤0.97)", "trust"); _f.energy = _show.addField("energy / inference (MODELED)", "energy"); _f.receipt = _show.addField("fusion receipt", "receipt"); _f.label = _show.addField("honesty label", "label"); _paint(); } function _tok(s) { if (s === "live") return null; if (s === "missing") return "NO-LIVE-DATA"; if (s === "degraded") return "DEGRADED"; if (s === "error") return "OFFLINE"; return "…"; } function pct(v, d) { return typeof v === "number" ? (v * 100).toFixed(d) + "%" : "—"; } function fx(v, d) { return typeof v === "number" ? v.toFixed(d) : "—"; } function _set(k, v) { if (_f[k]) _f[k].textContent = v; } function _paint() { if (!_show) return; const t = _tok(S.state); if (_show.setChip) _show.setChip("ef", S.label || "MODELED", { text: "fusion + energy" }); _set("workload", t || (S.nSensors != null || S.nTracks != null ? (S.nSensors != null ? S.nSensors : "—") + " / " + (S.nTracks != null ? S.nTracks : "—") : "—")); _set("conf", t || pct(S.meanConf, 1)); _set("agree", t || pct(S.meanAgree, 1)); _set("cons", t || pct(S.consistencyRate, 1)); _set("lambda", t || (S.meanLambda != null ? fx(S.meanLambda, 3) + (S.lambdaMax != null ? " (max " + S.lambdaMax + ")" : "") : "—")); _set("gate", t || (S.admits != null || S.gatedOut != null ? (S.admits != null ? S.admits : "—") + " / " + (S.gatedOut != null ? S.gatedOut : "—") : "—")); _set("trust", t || (S.trust != null ? fx(S.trust, 3) + (S.trustCap != null ? " (≤" + S.trustCap + ")" : "") : "—")); _set("energy", t || (S.joules != null ? S.joules.toFixed(4) + " J" + (S.neuro ? " · neuro ×" + (S.neuroFactor != null ? S.neuroFactor : "?") : "") : "—")); _set("receipt", t || (S.receiptSigned === false ? "unsigned preview" + (S.receiptDigest ? " " + S.receiptDigest.slice(0, 10) + "…" : "") : (S.receiptDigest ? S.receiptDigest.slice(0, 10) + "…" : "—"))); _set("label", t || (S.label || "MODELED")); } // ============================================================================= // unmount — clean up everything; must not affect other organs // ============================================================================= export function unmount() { _polls.forEach((p) => { try { p.stop(); } catch (_) {} }); _polls = []; try { if (_show) _show.destroy(); } catch (_) {} try { if (_group && _stage) { _group.traverse((o) => { if (o.geometry && o.geometry.dispose) o.geometry.dispose(); if (o.material) { const ms = Array.isArray(o.material) ? o.material : [o.material]; ms.forEach((m) => { if (m.dispose) m.dispose(); }); } }); _stage.scene.remove(_group); } } catch (_) {} _group = _show = null; _floor = null; _sensMesh = []; _gateRing = null; _core = null; _trkMesh = []; _trkLine = []; _f = {}; _badge = null; _frameReg = false; _stage = _THREE = _ctx = null; S.label = S.nTracks = S.nSensors = S.horizon = S.sensors = S.tracks = null; S.admits = S.gatedOut = S.meanConf = S.meanAgree = S.consistencyRate = null; S.meanLambda = S.lambdaMax = S.admitThresh = S.trust = S.trustCap = null; S.joules = S.joulesIdle = S.neuro = S.neuroFactor = null; S.receiptSigned = S.receiptDigest = null; S.state = "init"; } export default { id: ID, title: TITLE, endpoints: [EP], mount, unmount };