Assistant: codex Assistant-Model: gpt-6.1-sol Assistant-Session: 01a1045b-933d-7aa1-b2db-104557487a79
68 lines
3.8 KiB
Markdown
68 lines
3.8 KiB
Markdown
# Fresh presentation replication 02
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WP-0009 T02 implementation: six new authored variants, six atomic criteria per
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scenario, two equivalent guidance presentations and twelve isolated prompts.
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The prior consumed pilot remains separate and unchanged. This replication is not
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held-out M3 retrieval, a real consumer use or independent human validation.
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The [protocol](protocol.md) defines interpretation and budgets;
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[scenarios](scenarios.json) define the frozen obligations and prohibited claims.
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`pack-equivalence.json` records shared body/source hashes. `freeze.json` pins all
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inputs, prompts, assignment and code plus immutable reference version/corpus/package.
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The public assignment supports auditing but makes future masking procedural.
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Commands from the repository root:
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```bash
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make replication-check replication-test
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```
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The user authorized up to twelve llm-connect calls at a requested 1,400-output-token
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cap per call with no retries. Execution occurs only after a committed freeze:
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```bash
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PYTHONDONTWRITEBYTECODE=1 ../infospace-bench/.venv/bin/python scripts/language_replication.py run --max-calls 12
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```
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The runner reserves attempts before requests. A second invocation skips every reserved
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session and can call only unstarted sessions within the aggregate ceiling; it never
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retries a failed/interrupted attempt. Raw receipts preserve usage, model identity,
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output hashes and failed responses. Scoring reads `masked/` before opening the key.
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Copy the empty `scores-template.json`, disclose reviewer role and prior exposure,
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record binary scores with quotes/locators and reasons, and list unsupported claims
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separately. Null means unavailable or unreviewed; it is never a default zero.
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```bash
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python3 scripts/language_replication.py scores-check --scores <review-file.json> --complete
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python3 scripts/language_replication.py summarize --scores <review-file.json>
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```
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Validation checks structure and retained quotations/hashes; it does not assess semantic
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correctness or independently authenticate a declared reviewer. Keep initial ratings,
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disagreements and adjudication. A failed pair is excluded from quality counts, and no
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score automatically completes human review or M1. Actual execution/editorial outcomes
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are recorded here after the authorized run; independent-human scores remain pending.
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## Authorized execution outcome — 2026-10-04
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Preregistration commit: `1e2741a95909341441da05f86a4b6721eae29b60`, synced before
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execution. Twelve attempts were reserved and made once each; **all failed**, with
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no retained answers. [Raw records](raw/) retain every reservation and receipt.
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[Execution summary](execution-summary.json) records elapsed request time and failed
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health checks inside/outside the sandbox. The runner records `InfospaceError`, not
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its subtype; endpoint unavailability was verified afterward. Provider execution,
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token usage and billing are unknown. No retries were made.
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[Availability review](availability-review.json) marks all answers unavailable and
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all atomic ratings null. No masked answer review occurred; reading the first receipt
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exposed its assignment, which is disclosed. [Comparison summary](comparison-summary.json)
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excludes all six pairs. Its zero totals have zero denominators and are inventory
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counts, not quality scores or evidence of equivalence. Neither presentation has an
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observed result. Original pilot-01 evidence remains unchanged.
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The packet and tested execution/scoring tools are usable, but WP-0009 T02 is waiting
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for a usable fresh replication. Do not reuse the reserved run identities or modify
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the frozen packet. Any future execution needs service restoration, a new preregistered
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run identity and explicit fresh authorization. Human validation remains WP-0009 T01;
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consumer discovery/integration remains WP-0008. LEARN-0019 retains this failure rather
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than dropping it from research history; it contributes no pattern-quality conclusion.
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