Add v030 paper data-only supplement: README.md
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experiments/nav3r_v030_supplement_cpl_20260911/README.md
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# Nav3R v030 paper supplement — data-only, 2026-09-11
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Unified code, paper, metric definitions and reproduction instructions:
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https://github.com/AIGeeksGroup/Nav3R/tree/20260911/supplements/20260911_v030_cpl
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Code PR: https://github.com/AIGeeksGroup/Nav3R/pull/3
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This is a supplement to previous releases, not a replacement. The referenced v030 paper and its SHA are in the code release. Both repositories were private at publication; appropriate access is required.
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## Content
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|Archive group|Paper evidence|
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|---|---|
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|table_iii_primary320|Historical v191, 320 episodes × 3 conditions; STOP-aware Table III|
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|table_iv_full983_and_figure4_mechanism66|983 episodes × 2 conditions; paired 66 episodes × 10 controls; Tables IV and Figure 4|
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|section_vi_d_diagnostics|E1/E2 diagnostics, separate 14-scene 66-episode panel|
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|section_iv_e_navigation_training|Training labels, provenance, collection reports and training metadata; NOT full feature caches|
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`asset_manifest.json` gives every included file's original relative path, SHA256, bytes and source. `archives_data_only/*.tar.gz` contain new files. Existing files with the same verified SHA may be referenced at `existing_hub_revision`, avoiding duplication. `omitted_asset_inventory.json` is an inventory, NOT the omitted data itself.
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No new videos, large decision feature caches, or qualitative replay-frame arrays are included. Their remote originals are retained. Previously uploaded weights and videos remain untouched. The withdrawn first large shard is not part of this release.
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Use the GitHub release's `tools/materialize_assets.py`, with the fixed successful HF revision in `provenance/HF_RELEASE_STATUS.json`; then `tools/reproduce_paper.py` for CPU metric reproduction. Do not use a moving branch as an unrecorded dependency. If the successful receipt is not yet present, publication verification is still pending.
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## Boundaries
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- Recomputing metrics from original records is different from rerunning frozen navigation and different from reproducing exact training snapshots.
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- The 5,877 decision feature caches are not shipped. Their regeneration depends on the rollout policy and environment and is not guaranteed bit-identical. Training labels, splits and source hashes remain available.
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- Five-channel Binary reconstruction checkpoint with SHA a8150018a25bc572f50cfb7ba57d82b5cc8141746e679d1c7d48be36e57064ed was not found in the verified sources. No other checkpoint is substituted.
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- HM3D and public pretrained dependencies must be obtained under their own licenses. This supplement does not grant rights to third-party datasets/models or include all original reconstruction training data.
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- Validation scenes were used during development; deployment uses selected seed123. Same-state PTv3-zero logits equality is not independent closed-loop trajectory equality.
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- Failed/incomplete attempts are provenance only; use the explicit authoritative source manifests, not all files discovered recursively, for statistical analysis.
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Paper metrics use explicit STOP; missing STOP is not interpreted as false. See GitHub for thresholds, weights, paired bootstrap definitions and known limitations.
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