Claw Unlock — GPT-6 Sol Max

Measured harness ledgerPublic result

Claw Unlock — GPT-6 Sol Max

Find a collision-free rigid motion that unlocks two interlocked wire claws using pure geometry.

Max reasoningHeadline result

Workflow cost: $14.06
Wall-clock: 108m 35s wall-clock
Processed tokens: 58.32M processed
Record state: judge_fail_independently_replayed

Public summary

GPT-6 Sol Max judge_fail_independently_replayed ledger: 108m 35s wall-clock, 58.32M processed, and $14.06 Standard API-equivalent estimate from the Codex wrapper receipt, not a subscription invoice: this was a ChatGPT-subscription run, $0 was charged and Codex emits no cost field..

Run identity and stack

Result ID: claw-unlock-geometry-gpt-6-sol-max-codex-2026-09-22
Technical model: GPT-6 Sol
Provider: OpenAI Codex
Client: codex-sub wrapper (detached, headless, -l claw-sol -m gpt-6-sol -e max -s danger-full-access), Codex CLI 0.155.1; ran to its own end_turn
Stack: OpenAI Codex
Stack: codex-sub wrapper (detached, headless, -l claw-sol -m gpt-6-sol -e max -s danger-full-access), Codex CLI 0.155.1; ran to its own end_turn
Stack: Technical model/configuration: GPT-6 Sol
Stack: python-fcl geometry fixture
Stack: Harness claw-unlock prompt
Stack: Requested tool profile: python-fcl-headless

Cost basis

actual marginal subscription charge usd: $0.00 USD.

Primary artifact integrity

Kind: se3-path
Path: artifacts/claw-unlock-geometry-gpt-6-sol-max-codex-2026-09-22/evidence/model-supplied/path.npy
SHA-256: 8844b5dec4823f8e25ea18dd976c251fddef53b7c23e52afc5ae90c89653fcd5

Validation evidence

Result: PASS
Path: artifacts/claw-unlock-geometry-gpt-6-sol-max-codex-2026-09-22/validation/judge-replay.public.json
SHA-256: 8b6bd5ae35d160d9ce37c8075a3fbd60f825d3ddb2537defa315e09bdd7d2a62
Validator SHA-256: ac0ad531aaa6a4f93213a4445af54d4bcd582fbe105ca369b8253050e49c24cd

Recorded caveats

The judge measures task completion only; there is no visual quality or blind evaluation for this task.
The replay clips are rendered by the operator's viewer from the judge's own trajectory export with a fixed camera; they are presentation evidence, not a measurement.
Wall clock is end-to-end workflow latency including the solver's own simulation and judge runs, not model-only compute.
This was a ChatGPT-subscription Codex run, so there is no dollar receipt: $0 was charged and Codex emits no cost field. API-equivalent is $14.06 at the GPT-6 Sol list rates (corrected 2026-09-24; the original registration wrongly stated no rate was on record).
provenance/orchestrator-results.md is the task project's own result section copied verbatim with absolute local paths replaced.
The raw Codex receipts (events.jsonl, meta.json, prompt and final-message files) carry the session id, the full reasoning transcript and local paths; they are not committed, only their sha256 commitments in provenance/source-receipt-hashes.json.
A Blender Cycles HERO RE-RENDER of this judged replay is pinned in provenance/clips.public.json as presentation: cycles-hero. Poses identical, visual layer only; pipeline ~/hero-render; two RTX 4090 Secure pods (US), 62.8 + 144.6 min, $0.77 + $1.78 + $0.65 aborted batch = $3.21 total. FAIL episodes rendered as-is. It is not a new run, adds no measurement and cannot change a verdict. It is not committed; it is pinned by name, sha256, bytes, frames and duration.
Nudge disclosure: none.
The harness self-check archive under evidence/sim-attempts/ is committed exactly as the harness wrote it, so its attempt records still carry the operator's workspace path in their cwd field.
Claw clips are dressed ALOHA 2 presentation (optimised carry, stock clawRig camera). PRESENTATION ONLY. Nothing judged changes.

Visible evidence gaps

hardware and interpreter receipt from the solver session (only the operator's replay environment is recorded)

Public result only

This result keeps its public summary and evidence, but it does not currently have a matching Builder test with prompts, projects, Harness workflows or skills.

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