--- viewer: false license: apache-2.0 pretty_name: CHAMBER-Bench v1.0 reference trajectories tags: - robotics - reinforcement-learning - multi-agent - benchmark --- # chamber-bench-reference-trajectories The reference and probe evidence for **CHAMBER-Bench v1.0**, released with the [fsafaei/concerto](https://github.com/fsafaei/concerto) repository: the episodes that pin down *who the partners are* and the exploratory runs that sized the campaigns. ## What is in this dataset - `partner-fingerprints/` — for every partner-set member, a verifiable probe bundle (the preregistered probe episodes it was fingerprinted on) plus a per-set `fingerprints.json` summary; also the `cocarry_partners-v2-dropped-candidates/` record documenting the four learned candidates rejected by the committed competence floor. A *fingerprint* is a deterministic behavioural summary of a partner measured on fixed probe episodes — it identifies a partner without revealing its parameters. - `power-pilots/` — the power-pilot bundles: the `run_purpose: power` exploratory runs that sized the campaign sample budgets before preregistration. They are committed evidence, deliberately excluded from every leaderboard manifest — pilots inform design, they never contribute to a reported number. - `manifest.json`, `SHA256SUMS.txt` — file list and digests; check a download with `sha256sum -c SHA256SUMS.txt`. ## How to verify Every probe bundle and power-pilot bundle is an ADR-028 result bundle; from a repository checkout: ```bash uv run chamber-eval verify ``` The evaluation protocol these bundles feed, with worked examples, is documented in `docs/explanation/evaluation-protocol.md`. The admission-report archives that decide which tasks count are released alongside the rows they support, in `chamber-bench-leaderboard-bundles`. ## Provenance Generated in simulation by the repository's tooling under tag-locked preregistrations, July 2026. Probe episodes for private partner members were produced with the maintainer-held seed; the episodes reveal behaviour, not parameters. No personal data of any kind. ## Intended use Auditing partner identity and competence floors; regression-testing partner behaviour against committed fingerprints; auditing how the campaign sample sizes were chosen. Training on probe episodes and then submitting to the leaderboard defeats the unseen-partner condition and is out of scope. ## Limitations Probe coverage follows the preregistered probe grid; power-pilot coverage exists for the runs the v1.0 campaigns actually used to size their budgets. ## Licence and citation Apache-2.0, same as the repository. Cite via the repository's `CITATION.cff` (DOI `10.5281/zenodo.20128468`). Maintainer contact and deprecation policy: `MAINTENANCE.md` in the repository.