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cmevs-code / RELEASE_SCOPE.md
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Release scope

This document records what can be run from this snapshot and what requires additional implementation or experiment artifacts.

Implemented and directly checkable

  • Deterministic synthetic metadata example and generated image/depth files.
  • Normalized candidate selection and covered-cell metric utilities.
  • Annotated oracle-gap and basic render-file checks.
  • Blender/GLB/PLY pipeline sources and native output summarizers.
  • Author attribution, dataset metadata snapshot and code integrity tools.

Important interface differences

pipelines/run_blend_pipeline.py::select_next_frame ranks candidates by unoccupied projected pixels minus a fixed overlap penalty. It does not compare candidate probe depths with historical depths in the way required for the paper's depth-disagreement term. Its exported selected_frames.json is not the normalized tiny metadata schema.

scripts/select_views.py is an independent example based on supplied cell sets and static priors, with an extra 0.15 probe-coverage term. Its sample oracle_gain numbers are supplied annotations, not dynamically rendered exact marginal gains. The synthetic image/depth and simplified pose files validate I/O only.

Published Blender pose exports declare camera-to-world rotations and absolute positions; users must reconcile conventions before projection. This release does not relabel or transform already published data.

Not included as complete reproductions

  • Full matched 900-scene world-voxel baseline sweep and scene-bootstrap confidence intervals.
  • ERP-LVSM/LoRA training, checkpoints, exact training lists and held-out Replica evaluation.
  • Full exact-greedy oracle diagnostics and all rebuttal experiment drivers.
  • Executable TartanGround/OB3D re-encoding workflows and all upstream instance mappings.
  • Real per-step candidate/selection provenance and full failure-case sequences for the hosted dataset.

Implementing a stub or generating simulated CSVs would not make these experiments reproducible. This repository does not claim that the no-data test verifies paper numbers. Historical H100 inventories record hashes of an earlier local population and are not a public data release manifest or evidence that every artifact is hosted.