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Fix PAPER-ARTIFACT-NOTE publication fields; relabel superseded hashes in acceptance report

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  1. PAPER-ARTIFACT-NOTE.md +4 -4
PAPER-ARTIFACT-NOTE.md CHANGED
@@ -9,10 +9,10 @@ for the experiments behind the sealed research report.
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  | Field | Value |
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  |---|---|
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  | Artifact | `cognitive-runtime` 0.1.0 (PR-M1) |
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- | Wheel | `dist/cognitive_runtime-0.1.0-py3-none-any.whl`, 42,118 B, SHA-256 `0c700b2ff66d3541b020df327bfe7a6abc8cfa62f73c828054aa67f26f005bcf` |
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- | Source package | `dist/cognitive_runtime-0.1.0.tar.gz`, 41,209 B, SHA-256 `f46de08c03e0dbb7def1b520e42ad5bd424e0d646c9d97fc2c07bf57b99faf71` |
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- | Public URL | `pending` — nothing has been uploaded to Hugging Face, ModelScope or any other remote |
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- | Source-of-truth repository | the private working repository, branch `public-runtime-m1`; this bundle is the public-safe subset |
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  | Code license | `Apache-2.0` (`LICENSE`), owner decision 2026-11-05; covers the package's code only, not the upstream checkpoint. Package is thin — no weights bundled |
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  ## How to obtain and run it
 
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  | Field | Value |
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  |---|---|
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  | Artifact | `cognitive-runtime` 0.1.0 (PR-M1) |
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+ | Wheel | `dist/cognitive_runtime-0.1.0-py3-none-any.whl`, 46,448 B, SHA-256 `64e02c1ab36023f4ae66c6da0d0ba6fba959bd88664d6b37590b3905c71f28e1` |
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+ | Source package | `dist/cognitive_runtime-0.1.0.tar.gz`, 51,237 B, SHA-256 `d69ad3ce98d3a63fdf2519724675f599920b4173cf3a4a381bee00b6fc9b0213` |
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+ | Public URL | `https://huggingface.co/WayneRR/cognitive-learning-lab` (model repo, published 2026-11-05; latest content commit `5ccf3666`; initial publication commit `4225068d`). Artifacts are also attached to GitHub Release v0.1.0 of the source repository |
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+ | Source-of-truth repository | the private working repository, branch `public-runtime-m1`; this bundle is the public-safe subset. The public source copy lives at `https://github.com/kialajin-l/cognitive-learning-lab` |
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  | Code license | `Apache-2.0` (`LICENSE`), owner decision 2026-11-05; covers the package's code only, not the upstream checkpoint. Package is thin — no weights bundled |
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  ## How to obtain and run it