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Dormant Behavior Audit

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This repository contains the flagship benchmark assets, reference bundle, and reproducibility materials for auditing latent, condition-dependent model behavior.

The motivating historical case is the Jane Street dormant-model puzzle, but the repo is now organized as a public benchmark and research release rather than a contest-only submission package.

Slow Tour

A minimal starry-night terminal animation showing the slow benchmark flow from charter to reference bundle to reproduction to claim checks to release.

A quiet walk through the release path: open the charter, inspect the reference bundle, rerun the evidence, compare claim checks, and package the release.

Start Here

If you want the quickest tour, read these in order:

  1. RELEASE_STATE.md
  2. REVIEWER_QUICKSTART.md
  3. TRACEABILITY_MATRIX.md
  4. CLAIM_LEDGER.md
  5. REPRODUCIBILITY.md
  6. benchmarks/BENCHMARK_CHARTER.md
  7. findings/RELEASE_PACKET_V2.md
  8. CONTRIBUTING.md

Install The CLI

The repository now builds as a Python package with a unified dba command.

The current live package release is 1.2.0 on PyPI. It is the benchmark-CLI and release-verification package for the frozen benchmark/report release v1.0.0, which remains the canonical tagged research bundle.

pipx install dormant-behavior-audit
dba --help

For a local one-off run without a permanent install:

uvx --from dormant-behavior-audit dba --help

Optional extras:

  • pipx install 'dormant-behavior-audit[tui]' for the Orbit Textual UI
  • pipx install 'dormant-behavior-audit[notebooks]' for notebook-heavy local analysis

The default install is intentionally substantial because it includes the research stack needed for reproduction and analysis, not just a lightweight wrapper CLI.

Useful public inspection commands:

dba doctor
dba list-tasks
dba show-task meridian_trace_multiturn_candidate_v0
dba list-submissions
dba scoreboard
dba reviewer-packet --out-root reviewer_packet
dba verify-release --skip-scoreboard-build

Reviewer Quickstart

The fastest reviewer-grade path is:

pipx install dormant-behavior-audit
dba reviewer-packet --out-root reviewer_packet

This builds a local packet with command logs, scoreboard summary, multi-turn suite status, claim ledger, traceability matrix, arXiv endorsement packet, artifact hash manifest, and checked-in reproduction summaries. It does not download model weights, call hosted APIs, contact humans, or use paid services.

From a source checkout, the equivalent command is:

python3 scripts/build_reviewer_packet.py --out-root reviewer_packet

What This Repo Ships

Public-facing research packet

Benchmark assets

Reproducibility artifacts

Benchmark Shape

The current benchmark release has three layers:

  • core local seeded and clean-control tasks, including a public stateful multi-turn candidate/control suite with Qwen2 and Qwen2.5 repeat-anchored controls,
  • a naturalistic historical reference bundle built from the dormant puzzle result,
  • and a supplementary hosted-comparator lane used for calibration and mechanism interpretation.

The benchmark is designed to reward:

  • family recovery instead of one lucky string guess,
  • candidate-versus-control specificity,
  • repeated-run stability,
  • interpretation-aware reporting,
  • and artifact-rich submission packets instead of one scalar score.

What This Is Not

  • It is not a universal detector for every backdoor or dormant behavior.
  • It is not a provider leaderboard.
  • It does not claim a single proven mechanism for every observed split.
  • It treats prefix/taxonomic acknowledgment as an interpretation label, not as dormant-behavior recovery by itself.

Reproducing The Reference Case

Install dependencies:

pip install -r requirements.txt

Run the reproducibility pipeline:

python3 scripts/reproduce_submission.py

This writes a fresh bundle under artifacts/reproduction/<timestamp>/.

Use these files to judge success:

  • artifacts/reproduction/<timestamp>/reproduction_report.md
  • artifacts/reproduction/<timestamp>/findings/claim_consistency_report.md

For a reviewer-safe report refresh without fresh hosted API calls:

python3 scripts/reproduce_submission.py --report-only --out-root artifacts/reproduction/20260305_230206

Important notes:

  • local warmup stages are expected to reproduce on MPS-capable hardware,
  • API-side artifacts are stochastic, so claim-level consistency matters more than exact JSON replay,
  • and scripts/reproduce_submission.py --warmup-start-stage ... can resume a late warmup failure without rerunning the entire local sweep.

Repo Map

  • benchmarks/: benchmark specs, tasks, schemas, public-release drafts, and the normalized reference bundle
  • findings/: public report packet, appendices, raw evidence snapshots, and release-facing validation records
  • artifacts/: checked-in submission packets, reproduction bundles, tightening bundles, and hosted-baseline outputs
  • scripts/: bundle builders, release checkers, reproducibility scripts, and analysis utilities
  • src/, orbit/, problems/: earlier investigation and local-analysis surfaces preserved for provenance and follow-on work

Release Status

The canonical release metadata lives in benchmarks/public/release_metadata.json.

Current public release URLs:

The working launch checklist is still preserved in PUBLIC_RELEASE_CHECKLIST.md as the release record.

Licensing

  • Code, scripts, and schemas: Apache-2.0 via LICENSE
  • Public-facing reports, benchmark docs, and release artifacts: CC BY 4.0 via LICENSE-docs.md

Related Docs

Metadata

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