feat(attest-demo): the real 3-row pipeline flow — individual panels, negative walk, two comparators

Drives the RUNNING pipeline for the full canonical flow (the subagent mapped the
internals; no reinvention):
  • genTriptych now returns the individual per-panel PNGs (t.pngs, as data URIs)
    + the ENCIRCLED panel drawn on the tolerance rgba (detectRegions →
    encircleRegionsPng — exactly as commit-triptych does; encircled is LAST,
    after and derived from tolerance).
  • a SECOND pairwise build (genTriptych intent vs the NEGATIVE corpus) supplies
    the Negative row's gzip-ingest + walk and the Mode-B comparator.

The UX lays out the canonical data flow, left-to-right / top-to-bottom:
  Intent   [gzip ingest] → [ballistic walk]
  Reality  [gzip ingest] → [ballistic walk]
  Negative [gzip ingest] → [ballistic walk]
     ▼ collapse to the two comparators = the two fail modes ▼
  Δ Intent↔Reality (Fail Mode A · drift) · Δ Reality↔Negative (Fail Mode B · catastrophe)
  → TOLERANCE (beside the flow) → ◎ ENCIRCLED (right above the text boxes)

The text boxes sit directly under the encircled and FEED the pipeline — edit +
re-run and the encircled analogue moves, so an edit visibly changes the result.
Greeks gain vega (the same lens SERIES_SNAPSHOT the commit receipt shows — the
lens converges: one code path for both cases).

Verified in jsdom: run defined, 144 reef cells, encircled updates on edit, 8 flow
images + tolerance + encircled render, exactly one </script>. Guard 25/25 (adds:
panels are the real t.pngs 3-row flow, two-comparator fail modes, encircle from
tolerance rgba, negative walked by the same pipeline).

Originating-Terminal: 📐 architect (VS Code)
Relevant-Rooms: 🔨 builder, 📐 architect, 🧭 navigator
Story: The cardinal-rule fix (use the pipeline) is now complete — not just embedding the combined triptych blob but driving the pipeline for individual panels, walking the negative corpus for the second comparator, and laying out the exact 3-rows→2-comparators→tolerance→encircled flow the operator specified, with the inputs feeding it so edits show up in the encircled.

Receipt-Verified: σ=2.54 · cell=A · witness-agreement=GZIP_ONLY · lens=gzip · receipt=f98cf353

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01EssMgKix9aZmZ5dxGPqYCW

commit ba384e995 — 144×144 lattice triptych (on-chip)

◎ the ingest chose B3,C3 — Tactics·Signal × Operations·Flow — acting on B3,B1 — Tactics·Signal × Tactics·Speed (grip 0.750) · the walk starts at the ACTOR's row · 5 file(s)

⏱ ingest 1178.6ms (corpus→lattice) · definer walk 469ms (row→transpose→row, ballistic XOR per hop) · total 2006ms
ingest here = commit-scoped SENSING only (this commit's message + changed files → lit anchors) — deep seed authoring lives in the reef-self-loop, off the commit path

rows = ACTOR (lens) · cols = PATIENT (object) · diagonal = self-reference; ◎ at actor-row × patient-col — every panel, same orientation. Heat above the diagonal = actors ranking ShortLex-earlier than their patients (the walk follows definers uphill in rank).
The 12 canonical lanes (rows top→bottom, cols left→right): A·Strategy · B·Tactics · C·Operations · A1·Law · A2·Goal · A3·Fund · B1·Speed · B2·Deal · B3·Signal · C1·Grid · C2·Loop · C3·Flow

PAIR LATTICE (the map we normally see)

PRE-WALK SENSE · INTENT grid — the snapshot, no point of view

the no-point-of-view snapshot — what the sensor lit before any walk; the leaf walk below is what bridges the two grids

	ABC A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N A1–C3
ABC A1–C3 A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N

PRE-WALK SENSE · REALITY grid — the snapshot, no point of view

the no-point-of-view snapshot, reality side — same sensor law

	ABC A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N A1–C3
ABC A1–C3 A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N

PRE-WALK Δ · straight comparison of the two ingested grids (green both · cyan intent-only · amber reality-only) · 5% overlap · ◎ = where the competence pixel sits in the raw overlap

good = green overlap without being a copy — near-100% is self-similarity, not alignment

	ABC A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N A1–C3
ABC A1–C3 A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N

◎ the pixel this commit belongs to

B3,C3 — Tactics·Signal × Operations·Flow (actor) acting on B3,B1 — Tactics·Signal × Tactics·Speed (patient) · grip 0.750

actor seed B3,C3 — Broadcast signal bandwidth and message reach drive the flow throughput and delivery rate across the pipeline. Flow is the rate at which committed work crosses the finish line. Inventory accumulates upstream; flow is the only thing the customer pays for, and the only thing the operator can measure honestly. Movement is the irreversible delivery of value across the boundary. Anything stationary is cost; anything moving is either revenue, deferred revenue, or the exhaust of revenue not yet realized. Throughput dominates utilization. A ninety-nine-percent utilized system at low throughput pays the same wages as a fifty-percent utilized system at twice the throughput, but the second one ships the customer's order. Flow has a direction. Bidirectional flow is two flows, each measured separately; calling them a single flow hides the chokepoint and the chokepoint is where the leverage lives. Signal-to-noise is the inverse cube of bandwidth — narrow the channel, the message arrives; broaden it, recipients tune out. The right channel is the one whose floor matches the message's importance. A broadcast that addresses everyone addresses no one. Precision over reach until the address is calibrated; only then does scale convert prospects into recipients rather than into unsubscribes. Repetition is the cost of being heard. Three sends to one recipient beats one send to three; the first send announces, the second send is heard, the third send is remembered. Every message carries provenance. The sender's history is half the message's weight; an unknown sender pays in attention what a known sender pays in seconds saved.

patient seed B3,B1 — Bandwidth limits of a signal determine the speed and tempo beats of the message broadcast. Signal-to-noise is the inverse cube of bandwidth — narrow the channel, the message arrives; broaden it, recipients tune out. The right channel is the one whose floor matches the message's importance. Latency is the price of a missed beat. Every hundred milliseconds of round-trip turns a parallel race into a stalemate, because the first arrival sets the rules the second arrival has to honor. A broadcast that addresses everyone addresses no one. Precision over reach until the address is calibrated; only then does scale convert prospects into recipients rather than into unsubscribes. Throughput compounds: doubling the rate doubles the surface area where serendipity can hit. A pipeline at twice the velocity is not twice as productive — it is exponentially more lucky. Repetition is the cost of being heard. Three sends to one recipient beats one send to three; the first send announces, the second send is heard, the third send is remembered. Time-to-first-byte is the only number the operator feels at the wheel. Optimize the felt latency before the raw throughput; the operator's grip on the loop is what drives the loop forward. Every message carries provenance. The sender's history is half the message's weight; an unknown sender pays in attention what a known sender pays in seconds saved. Velocity is irreversible. A delivery sent fast cannot be unsent slow; a release deployed cannot be undeployed at the same speed it was deployed. Speed buys position, and position is harder to surrender than to occupy.

INTENT · leaf-walk clouds · BLUE→VIOLET by ply (◎ = the competence pixel: actor∩patient)

good = the clouds concentrate where the commit SAYS it works

	ABC A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N A1–C3
ABC A1–C3 A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N

REALITY · leaf-walk clouds · ORANGE→RED by ply (◎ = the same pixel — the shared perspective)

good = the same clouds as intent — shipped where declared

	ABC A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N A1–C3
ABC A1–C3 A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N

DELTA · graded cloud divergence (green agree · magenta declared-not-done · amber done-not-declared) · 4% agree

good = mostly green; magenta = said-not-done (chase it in the code), amber = done-not-said (chase it in the docs)

	ABC A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N A1–C3
ABC A1–C3 A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N

TOLERANCE · cloud topology (dim green in-shape · hot amber bleed · red orthogonal concentration)

red only matters above the flip — a few amber is normal bleed

	ABC A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N A1–C3
ABC A1–C3 A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N

SHORTLEX-3 PROJECTION (ABC · A1..C3 · the 132 children — candidate, pre-ratchet)

PROJECTED INTENT · the commit’s claims, head→axis_i tail→axis_j (cyan)

the three-length view — good = claims land inside their own zone

	ABC A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N A1–C3
ABC A1–C3 A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N

PROJECTED REALITY · same projection law (amber)

same projection law — good = reality occupies the zones intent does

	ABC A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N A1–C3
ABC A1–C3 A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N

STRAIGHT COMPARISON · green both · cyan intent-only · amber reality-only · 6% overlap

good = the zones agree; cross-zone scatter is the drift to read

	ABC A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N A1–C3
ABC A1–C3 A1A–O A2A–O A3A–O B1A–O B2A–O B3A–O C1A–N C2A–N C3A–N

shortlex-3 zone occupancy (lit cells per diagonal square)
INTENT: 0 in the 3×3 ABC corner · 5 in the 9×9 A1..C3 square · 1572 in the 132×132 children square · 285 cross-zone
REALITY: 0 in the 3×3 ABC corner · 17 in the 9×9 A1..C3 square · 1885 in the 132×132 children square · 366 cross-zone
axes: identical 144 ShortLex names both sides (symmetric); weights asymmetric
zone 3 = candidate children, pre-ratchet (repo-derived dumps not yet past the perturbation-probe gate) · intent 45 claims @ θ 0.625 · reality 30 claims @ θ 0.6094 · projection 392ms

SHAPE-MATCH σ = 0.6 — the real intent↔reality definer walk vs random-reality (actual 0.115 vs random 0.096). >0 = the walk distinguishes real alignment from noise; aggregate over independent walks → the divergent series.
σ_spec-delta · weak · the work has not yet landed inside the declared intent

Most out-of-lane row: C3 · Flow — that lane is drifting most (read the red band in that row).

Three-colour tolerance (out-of-lane = reality fires where intent is weak, in orthogonal blocks): green=in-lane agreement · amber=a few out-of-lane (tolerated) · red=armed — orthogonal out-of-lane 21% vs tolerance 25%.
809 green · 1002 amber · 0 red · 343 XOR-friction cells.

Both axes = the 144 ShortLex anchors, cell=row⊕col, on the chip. INTENT=docs+rules · REALITY=code · DELTA=friction.

tile dump — what the SimHash matched on the diagonal (inspect the sensor; tap to expand)

A,A The lattice we build today is what next year's underwriter inherits.

intent 73% <span style="color:#5a6673">zone 3 = candidate children, pre-ratchet (repo-derived dumps not ye

reality 72% This change operates in the ui frontend domain, involving button page render. This change opera

B,B Tactics is the choice of which leverage to pull at which beat.

intent 72% .collapse{text-align:center;color:var(--dim);font-size:11px;margin:6px 0;border-top:1px dashed

reality 75% .collapse{text-align:center;color:var(--dim);font-size:11px;margin:6px 0;border-top:1px dashed

C,C Operations is the loop that runs whether anyone watches.

intent 88% ## REQUIREMENTS (falsifiable) - **R1 — reef-from-spec.** A command that compiles an arbitrary m

reality 80% (no distinctive match)

A1,A1 EU AI Act Article 14 requires human-on-the-loop oversight, with the supervisor able to interrupt the system at

intent 88% <span class="dim">No throughput figure is quoted that this run did not measure — the speed IS t

reality 83% <p class="dim">The running pipeline itself (<code>buildTriptychInputs → renderTriptych</code>,

A2,A2 The target is the cell coordinate the system MUST occupy by end-of-quarter.

intent 88% (no distinctive match)

reality 83% (no distinctive match)

A3,A3 Every dollar builds either the floor (substrate that lifts future bets) or the ceiling (cap on the next round)

intent 80% (no distinctive match)

reality 72% (no distinctive match)

B1,B1 Latency is the price of a missed beat.

intent 75% (no distinctive match)

reality 73% ${P.encircled ? `<img src="${P.encircled}" alt="encircled tolerance">` : '<div class="dim">◎</d

B2,B2 The deal sets the exchange rate between two value substrates.

intent 86% <div class="comp b"><div class="cl rd">Δ Reality ↔ Negative</div><img src="data:image/png;base6

reality 75% (no distinctive match)

B3,B3 Signal-to-noise is the inverse cube of bandwidth — narrow the channel, the message arrives; broaden it, recipi

intent 77% Verified in jsdom: run defined, 144 reef cells, encircled updates on edit, 8 flow images + tole

reality 72% // ── INDIVIDUAL PANELS — the running pipeline's per-panel PNGs (t.pngs), keyed by id, as data

C1,C1 Power flows where the grid lets it.

intent 77% @media(max-width:600px){.encbox{grid-template-columns:1fr}}

reality 72% @media(max-width:600px){.encbox{grid-template-columns:1fr}}

C2,C2 Each iteration is a hypothesis tested against the ground truth of the world.

intent 78% (no distinctive match)

reality 70% (no distinctive match)

C3,C3 Flow is the rate at which committed work crosses the finish line.

intent 86% (no distinctive match)

reality 78% (no distinctive match)

commit context — 5 file(s)

feat(attest-demo): the real 3-row pipeline flow — individual panels, negative walk, two comparators

Drives the RUNNING pipeline for the full canonical flow (the subagent mapped the
internals; no reinvention):
  • genTriptych now returns the individual per-panel PNGs (t.pngs, as data URIs)
    + the ENCIRCLED panel drawn on the tolerance rgba (detectRegions →
    encircleRegionsPng — exactly as commit-triptych does; encircled is LAST,
    after and derived from tolerance).
  • a SECOND pairwise build (genTriptych intent vs the NEGATIVE corpus) supplies
    the Negative row's gzip-ingest + walk and the Mode-B comparator.

The UX lays out the canonical data flow, left-to-right / top-to-bottom:
  Intent   [gzip ingest] → [ballistic walk]
  Reality  [gzip ingest] → [ballistic walk]
  Negative [gzip ingest] → [ballistic walk]
     ▼ collapse to the two comparators = the two fail modes ▼
  Δ Intent↔Reality (Fail Mode A · drift) · Δ Reality↔Negative (Fail Mode B · catastrophe)
  → TOLERANCE (beside the flow) → ◎ ENCIRCLED (right above the text boxes)

The text boxes sit directly under the encircled and FEED the pipeline — edit +
re-run and the encircled analogue moves, so an edit visibly 

docs/pmu/attest-demo-report.html
docs/pmu/attest-demo-ux.html
scripts/pmu/attest-demo-ux.mjs
scripts/pmu/attest-demo.mjs
tests/pmu-simulator/attest-demo-ux-airgapped.test.mjs

Produced on the chip by the running pipeline (scripts/pmu/pipeline.mjs → runPipeline → walk + xor), commit-scoped · on-chip per-walk 498.76ns (this commit). Recompute: node scripts/pmu/commit-triptych.mjs --commit ba384e995

Commit artifacts (open on a computer — Gmail mobile won't follow file:// links; the inline images above are the phone-viewable form): reef grid · this triptych · the HDL — all three are also attached to this email.