# PAWBench A-09 ratio-control candidate-video staging (Issue #298) Collaborator-writable staging surface for the A-09 model-level ratio-control case study ([PhysEdit#293](https://github.com/Andrew0613/PhysEdit/issues/293), execution issue [#298](https://github.com/Andrew0613/PhysEdit/issues/298)). This repo realizes the `candidate_data` location proposed by `staging_locations.json` in the #297 input package; it lives under the `PhysEdit` org (public) by operator decision of 2026-07-13 because the proposed `Andrew613` repos were never created and private quota was unavailable. ## What this repository contains - `candidate_videos/` — Seedance 2.0 first/last-frame candidate training videos for scene A-09, named by frozen `sample_id`. The formal denominator is exactly 200 rows (40 endpoint controls x 5 seed identities). Videos appear here as soon as they are generated, **before** any usability filtering, per the #298 upload-before-exclusion contract. - `manifests/candidate_ledger.jsonl` — one terminal-status row per planned sample (schema: `candidate_ledger.schema.json` from the #297 package), updated at each phase boundary. - `receipts/` — phase receipts, launch authorization (with live price quote, provider schema deviations, and the fal-storage input-transport fallback), and the hash-bound fal staging map. - `review/` — canary visual-review contact sheet and motion strips. ## What this repository is NOT - These are **candidate training-data videos**, not PAWBench benchmark inputs, not accepted training data (acceptance is a separate reviewed gate), not model outputs under evaluation, and not evidence that any training approach achieves probabilistic alignment. - No usability decision is implied by a video's presence here. The accepted bank and failure manifests are separate, later artifacts. - No PAWEval result, checkpoint, metric, or paper-facing claim lives here. ## Provenance - Input authority: `Andrew613/PAWBench-A09-LastFrames` @ `800521f1cc6332cd834632a1ecdecb81b17937e4` (normalized A-09 first frame, 40 terminal-frame controls, frozen 200-row generation plan, frozen Seedance 2.0 request profile). - Generator: fal.ai `bytedance/seedance-2.0/image-to-video`, standard tier, 720p, 5 s, `aspect_ratio=auto`, audio disabled, direction-neutral frozen prompt. The provider exposes no seed parameter; planned seed identities are sample identities (provider-returned seeds are recorded in the run sidecar). - Runner: `projects/pawbench/tools/a09_ratio_control/run_seedance_candidate_grid.py` on branch `task/pawbench/0298_seedance_bank` of PhysEdit. - Every video is hash-bound to its plan row (first-frame hash, endpoint hash, prompt hash, request-profile hash) in the candidate ledger; `SHA256SUMS` covers the uploaded files. No credentials or secrets are stored here; receipts record credential environment variable names only.