Record ModelScope mirror receipts (R11)
Browse files- RELEASE-MANIFEST.json +3 -2
RELEASE-MANIFEST.json
CHANGED
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@@ -77,6 +77,7 @@
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"blocked_on": [],
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"decisions": "destination repo id and publication revision approved by the owner on 2026-11-05",
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"destination": "huggingface.co/WayneRR/cognitive-learning-lab (model repo)",
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"post_download_verification": "performed twice, once per uploaded build. (1) Build 803ee824 (wheel) / 37375e94 (sdist), upload commit 4225068d: re-downloaded via hf-mirror, hashes matched byte-for-byte, fresh venv smoke passed. (2) Current build 64e02c1a (wheel) / d69ad3ce (sdist), upload commit 5ccf3666 (card fix-up: stale NOT_UPLOADED badge removed, YAML frontmatter added): re-downloaded via hf-mirror, hashes 64e02c1ab36023f4ae66c6da0d0ba6fba959bd88664d6b37590b3905c71f28e1 / d69ad3ce98d3a63fdf2519724675f599920b4173cf3a4a381bee00b6fc9b0213 match byte-for-byte, fresh uv venv installed the downloaded-back wheel: doctor rc=0, infer rc=0 answered/mock/verified_judgment, second-process replay rc=0 answered with memory reuse. The file CDN behind huggingface.co times out on this network, so downloads go through hf-mirror; hashes are endpoint-independent. (3) GitHub channel: fresh clone (core.autocrlf=input) verifies 43/43 non-dist SHA256SUMS entries; the two dist/ entries are the Release attachments, hash-verified from the downloaded assets. Fresh uv venv installed the Release-downloaded wheel: doctor rc=0 blockers=[], infer rc=0 answered/mock/verified_judgment, second-process replay rc=0 answered with acquisition_calls=0, 28 tests passed against the installed wheel from the cloned tests.",
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"publication_revision": "55cf4c4ebb4ebe31b2550e8bdf3bd21b99753851",
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"release_assets": "wheel cognitive_runtime-0.1.0-py3-none-any.whl 64e02c1ab36023f4ae66c6da0d0ba6fba959bd88664d6b37590b3905c71f28e1 (46,448 B), sdist cognitive_runtime-0.1.0.tar.gz d69ad3ce98d3a63fdf2519724675f599920b4173cf3a4a381bee00b6fc9b0213 (51,237 B), SHA256SUMS; assets re-downloaded from the Release and hash-verified byte-for-byte against dist/. Artifacts are NOT in the git history.",
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@@ -91,14 +92,14 @@
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"uploaded_at_utc": "2026-11-05T09:20:00+00:00 (approx; single upload_folder commit)"
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},
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"release_bundle_files_sha256": {
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"CHANGELOG.md": "
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"LICENSE": "d55f3052cc51ef8bb0fb0161b55f98d93cb7542c1c6b19e1ebf5655a8c1408a1",
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"MODEL_CARD.md": "50093c10d4c51f9cfa96d6bad44a3c9d3377ca96dc073d5e37fe5d2ba0d284e1",
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"PAPER-ARTIFACT-NOTE.md": "8f61ff6652d16eca5e26157df06ff7a4a7a9b4f20fce5ca6085bd2c30f53ea1b",
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"README.md": "e60359ccd37cb59f7e29b5c61607af945bb161ebe25670c8f666e790c6a9ffe2",
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"SOURCE-INVENTORY.md": "9da97103cbd853534c6e5d9f866bc1608330c213ffad76d7d6d2ef6317edee82",
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"THIRD_PARTY_NOTICES.md": "4d4222fba571ec4621f22c6a199925375fbb3d43bbec774a8f800bea7417dbc4",
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"acceptance/PR-M1.md": "
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"pyproject.toml": "bdedce510fda22aed93b9035cba67afa6f939785e4f78eab8b799f2109db0b4b",
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"requirements-lock.txt": "adb192fbfd6a98c79c5e59bb7345c8e2db66183d6494d25dd233b1bbcc8ad1f6"
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},
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"blocked_on": [],
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"decisions": "destination repo id and publication revision approved by the owner on 2026-11-05",
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"destination": "huggingface.co/WayneRR/cognitive-learning-lab (model repo)",
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"mirror": "modelscope.cn/kialajin/cognitive-learning-lab (public, created 2026-11-05, optional mirror channel). 14 files byte-identical to the HF repo; upload commit d0aaacbff29d5b785db1995ce6aa937741947a64; download-back verified (10/10 flat-layout SHA256SUMS doc entries match, wheel 64e02c1a…/sdist d69ad3ce… match the current build; the remaining SHA256SUMS lines describe the flat working-tree layout, not remote paths). Direct connection, no proxy; short-lived write token.",
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"post_download_verification": "performed twice, once per uploaded build. (1) Build 803ee824 (wheel) / 37375e94 (sdist), upload commit 4225068d: re-downloaded via hf-mirror, hashes matched byte-for-byte, fresh venv smoke passed. (2) Current build 64e02c1a (wheel) / d69ad3ce (sdist), upload commit 5ccf3666 (card fix-up: stale NOT_UPLOADED badge removed, YAML frontmatter added): re-downloaded via hf-mirror, hashes 64e02c1ab36023f4ae66c6da0d0ba6fba959bd88664d6b37590b3905c71f28e1 / d69ad3ce98d3a63fdf2519724675f599920b4173cf3a4a381bee00b6fc9b0213 match byte-for-byte, fresh uv venv installed the downloaded-back wheel: doctor rc=0, infer rc=0 answered/mock/verified_judgment, second-process replay rc=0 answered with memory reuse. The file CDN behind huggingface.co times out on this network, so downloads go through hf-mirror; hashes are endpoint-independent. (3) GitHub channel: fresh clone (core.autocrlf=input) verifies 43/43 non-dist SHA256SUMS entries; the two dist/ entries are the Release attachments, hash-verified from the downloaded assets. Fresh uv venv installed the Release-downloaded wheel: doctor rc=0 blockers=[], infer rc=0 answered/mock/verified_judgment, second-process replay rc=0 answered with acquisition_calls=0, 28 tests passed against the installed wheel from the cloned tests.",
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"publication_revision": "55cf4c4ebb4ebe31b2550e8bdf3bd21b99753851",
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"release_assets": "wheel cognitive_runtime-0.1.0-py3-none-any.whl 64e02c1ab36023f4ae66c6da0d0ba6fba959bd88664d6b37590b3905c71f28e1 (46,448 B), sdist cognitive_runtime-0.1.0.tar.gz d69ad3ce98d3a63fdf2519724675f599920b4173cf3a4a381bee00b6fc9b0213 (51,237 B), SHA256SUMS; assets re-downloaded from the Release and hash-verified byte-for-byte against dist/. Artifacts are NOT in the git history.",
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"uploaded_at_utc": "2026-11-05T09:20:00+00:00 (approx; single upload_folder commit)"
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},
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"release_bundle_files_sha256": {
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+
"CHANGELOG.md": "56d8a3b8a70e85e589c40230a0d4030a88389d5fa9084f27cd54e271042b7a6a",
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"LICENSE": "d55f3052cc51ef8bb0fb0161b55f98d93cb7542c1c6b19e1ebf5655a8c1408a1",
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"MODEL_CARD.md": "50093c10d4c51f9cfa96d6bad44a3c9d3377ca96dc073d5e37fe5d2ba0d284e1",
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"PAPER-ARTIFACT-NOTE.md": "8f61ff6652d16eca5e26157df06ff7a4a7a9b4f20fce5ca6085bd2c30f53ea1b",
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"README.md": "e60359ccd37cb59f7e29b5c61607af945bb161ebe25670c8f666e790c6a9ffe2",
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"SOURCE-INVENTORY.md": "9da97103cbd853534c6e5d9f866bc1608330c213ffad76d7d6d2ef6317edee82",
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"THIRD_PARTY_NOTICES.md": "4d4222fba571ec4621f22c6a199925375fbb3d43bbec774a8f800bea7417dbc4",
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+
"acceptance/PR-M1.md": "c05e4dce3ed910eeac423e0737c5d13d7fe24a66236d6c5b175229e2f8e640e4",
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"pyproject.toml": "bdedce510fda22aed93b9035cba67afa6f939785e4f78eab8b799f2109db0b4b",
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"requirements-lock.txt": "adb192fbfd6a98c79c5e59bb7345c8e2db66183d6494d25dd233b1bbcc8ad1f6"
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},
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