{"as_of":"2026-08-10T10:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:355399ba181b742ee67e09e35207289e76ef5fb478323871942956283cfdd3a7","coverage":[{"denominator":20,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":20,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T06:55:49.137073Z","state":"measured"},{"denominator":20,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":20,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.21738/citation-record","integrity":"/paper/2607.21738/integrity","json":"/paper/2607.21738/citation-record.json","paper":"/paper/2607.21738"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.070066Z","title":"Aspirations and practice of ml model documentation: Moving the needle with nudging and traceability","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.070066Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:f2a2619af818fb6cbea8dce830839a53fef81aa16038289b44c2e714f1ecb292","observation_id":"38f2bd90-0f16-4089-94e9-808646005110","resolution":{"observed_at":"2026-08-01T06:55:49.070066Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.09873","last_updated":"2026-07-24T03:50:04Z","snapshot_observed_at":"2026-08-04T18:35:39.114614Z","submitted_at":"2025-09-11T21:46:20Z","title":"From Hugging Face to GitHub: Tracing License Drift in the Open-Source AI Ecosystem","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.09873","snapshot_observed_at":"2026-08-01T06:55:49.091977Z","title":"From hugging face to github: Tracing license drift in the open-source ai ecosystem.arXiv preprint arXiv:2509.09873,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.091977Z"},"links":{"cited_paper":"/paper/2509.09873","citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:2bc04b8c44833891b3e6d6185da97c5eaab69b3e49b6ec1e2d98bb5505c13f8d","observation_id":"7d058a29-3ac1-4f6b-adc1-ae1ce39a0d17","resolution":{"observed_at":"2026-08-01T06:55:49.091977Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.096205Z","title":"An empirical study of artifacts and security risks in the pre-trained model supply chain","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.096205Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:6243a8d3603c3aa9363dd445d3d283ef56c12791873e7e830ee2729d22c28710","observation_id":"08b3e078-b511-40e7-be84-879d8979bb21","resolution":{"observed_at":"2026-08-01T06:55:49.096205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.06811","last_updated":"2025-08-09T04:08:49Z","snapshot_observed_at":"2026-08-05T22:34:38.118633Z","submitted_at":"2025-08-09T04:08:49Z","title":"Anatomy of a Machine Learning Ecosystem: 2 Million Models on Hugging Face","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.06811","snapshot_observed_at":"2026-08-01T06:55:49.104500Z","title":"Anatomy of a machine learning ecosys- tem: 2 million models on hugging face.arXiv preprint arXiv:2508.06811,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.104500Z"},"links":{"cited_paper":"/paper/2508.06811","citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:612f1b59cd7676d5b45359295afa55acbd8d9478d93cb8a3803293b717f89420","observation_id":"ed7061dc-abb5-4590-96a5-757fbdd31334","resolution":{"observed_at":"2026-08-01T06:55:49.104500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.108644Z","title":"Ai transparency atlas: Framework, scoring, and real-time model card evaluation pipeline.arXiv preprint arXiv:2512.12443,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.108644Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:587667c34c50d6330b4cb318757c5daf62a8aa54841cc6f3d4c91bdcacc50854","observation_id":"8a4b205f-ca4d-4eaa-9dbc-f14bec37e481","resolution":{"observed_at":"2026-08-01T06:55:49.108644Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2510.07070","last_updated":"2026-02-22T19:46:23Z","snapshot_observed_at":"2026-08-09T17:22:00.187275Z","submitted_at":"2025-10-08T14:32:31Z","title":"Building an Open AIBOM Standard in the Wild","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2510.07070","snapshot_observed_at":"2026-08-01T06:55:49.113052Z","title":"Building an open aibom standard in the wild.arXiv preprint arXiv:2510.07070,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.113052Z"},"links":{"cited_paper":"/paper/2510.07070","citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:9d56e6fc416528817fcf426725f221813b1584625a8230e3b460a6ebb0b5214f","observation_id":"be8a2adb-744d-4dd5-a8b7-ce9a3d2cc8a3","resolution":{"observed_at":"2026-08-01T06:55:49.113052Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.08980","last_updated":"2024-02-14T06:50:16Z","snapshot_observed_at":"2026-07-06T17:29:51.807428Z","submitted_at":"2024-02-14T06:50:16Z","title":"OmniBOR: A System for Automatic, Verifiable Artifact Resolution across Software Supply Chains","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.08980","snapshot_observed_at":"2026-08-01T06:55:49.117313Z","title":"Omnibor: A system for automatic, verifiable artifact resolution across software supply chains.arXiv preprint arXiv:2402.08980,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.117313Z"},"links":{"cited_paper":"/paper/2402.08980","citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:e09e66df80fb25ef1e822a6e52948e6f8ac7c989f11c54a098fc7caac4440711","observation_id":"992c91c7-978d-4849-839f-1773d3cbdd37","resolution":{"observed_at":"2026-08-01T06:55:49.117313Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02097","last_updated":"2025-03-03T22:32:59Z","snapshot_observed_at":"2026-08-07T17:32:11.578247Z","submitted_at":"2025-03-03T22:32:59Z","title":"Bomfather: An eBPF-based Kernel-level Monitoring Framework for Accurate Identification of Unknown, Unused, and Dynamically Loaded Dependencies in Modern Software Supply Chains","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02097","snapshot_observed_at":"2026-08-01T06:55:49.121387Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.121387Z"},"links":{"cited_paper":"/paper/2503.02097","citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:bbe07e1b175fab64b6e66f62d76982f7245829fa02fcd8419563ddf9e0e63fc2","observation_id":"c737b59c-26c6-48e2-aaba-7a97e2b42cdf","resolution":{"observed_at":"2026-08-01T06:55:49.121387Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.125395Z","title":"Aibomgen: Generating an ai bill of materials for secure, transparent, and compliant model training","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.125395Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:a293bb911a75ada45495ba4422248f2009f78f256442f014d1f5539679f1f9c5","observation_id":"291b4501-c867-4354-96af-2820e2ae35cc","resolution":{"observed_at":"2026-08-01T06:55:49.125395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.13822","last_updated":"2024-01-24T21:47:13Z","snapshot_observed_at":"2026-08-06T18:37:16.547606Z","submitted_at":"2024-01-24T21:47:13Z","title":"Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.13822","snapshot_observed_at":"2026-08-01T06:55:49.129164Z","title":"Xinyu Yang, Weixin Liang, and James Zou","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.129164Z"},"links":{"cited_paper":"/paper/2401.13822","citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:0e6f985e3d4c0ab86fdbf30e430d2a462717039ffbcdeb3a1572bf6bcf7958aa","observation_id":"1a8ce792-8cce-4772-9115-d23b3a588fdf","resolution":{"observed_at":"2026-08-01T06:55:49.129164Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.133088Z","title":"Software dependencies 2.0: An empir- ical study of reuse and integration of pre-trained models in open-source projects.arXiv preprint arXiv:2509.06085,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.133088Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:4508d304ed51f7c4c7068f003f30f8311114946b6aa5dd74e63d040b97dec13f","observation_id":"8c3370a9-524d-4561-8839-a0cc812fe07c","resolution":{"observed_at":"2026-08-01T06:55:49.133088Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-01T06:55:49.137073Z","title":"A survey of large language models.arXiv preprint arXiv:2303.18223, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.137073Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:d7711803725205ab8119c043dc288c9cdf467ff699321b4a24768d2bfb3d12c6","observation_id":"1f9393af-8726-4348-9f5c-c551b73d9acd","resolution":{"observed_at":"2026-08-01T06:55:49.137073Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.065530Z","title":"Implementing ai bill of materials (ai bom) with spdx 3.0: A comprehensive guide to creating ai and dataset bill of materials.arXiv preprint arXiv:2504.16743,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":1995,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.065530Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:6f19fe4e862516c42544d98627932b52f13511bac973c7be89e5a2f792168bd1","observation_id":"23397de7-f0f1-4e01-a328-920901b89380","resolution":{"observed_at":"2026-08-01T06:55:49.065530Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.078816Z","title":"Joel Casta˜ no, Rafael Caba˜ nas, Antonio Salmer´ on, David Lo, and Silverio Mart ´ ınez-Fern´ andez","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.078816Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:076356f923bbcfcd3428be6ee01645dfdce065c6e2a62f1b5101aa9ddbe11270","observation_id":"f01c9165-d818-4a95-b3d0-b96c12bdef29","resolution":{"observed_at":"2026-08-01T06:55:49.078816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.082978Z","title":"Modelgo: A practical tool for machine learning license analysis","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.082978Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:c3b52c7e3fd2a372b0bd2ed759841df08e87760c05aa27cb634e46197a2da3b8","observation_id":"b471f9ac-8734-4e86-85d9-ff5d25c17c1c","resolution":{"observed_at":"2026-08-01T06:55:49.082978Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.01642","last_updated":"2025-08-18T22:56:45Z","snapshot_observed_at":"2026-07-06T16:26:50.402172Z","submitted_at":"2023-10-02T21:13:32Z","title":"\"I see models being a whole other thing\": An Empirical Study of Pre-Trained Model Naming Conventions and A Tool for Enhancing Naming Consistency","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.01642","snapshot_observed_at":"2026-08-01T06:55:49.100139Z","title":"Naming practices of pre-trained models in hugging face.arXiv preprint arXiv:2310.01642, 2023a","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.100139Z"},"links":{"cited_paper":"/paper/2310.01642","citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:87d5fd20b79b60e91d905a80b9584ec14b066de4ed5d117b17439f5b33b8dbde","observation_id":"16c53cfc-15de-4e8f-8694-791b68c26850","resolution":{"observed_at":"2026-08-01T06:55:49.100139Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2108.07258","last_updated":"2022-07-12T23:45:14Z","snapshot_observed_at":"2026-08-02T09:20:40.804790Z","submitted_at":"2021-08-16T17:50:08Z","title":"On the Opportunities and Risks of Foundation Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2108.07258","snapshot_observed_at":"2026-08-01T06:55:49.074237Z","title":"On the opportu- nities and risks of foundation models.arXiv preprint arXiv:2108.07258,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.074237Z"},"links":{"cited_paper":"/paper/2108.07258","citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:d53f69cdaa239047d3bd93305955308add7374825717816c6d2d10f51f5d0bdc","observation_id":"b7fefc62-0b5e-445b-8f67-421b3cb366fe","resolution":{"observed_at":"2026-08-01T06:55:49.074237Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.087296Z","title":"Empirical char- acterization of logging smells in machine learning code.arXiv preprint arXiv:2603.23769,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.087296Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:af5feb57146566c0ab8e960f0925ecffb58339aa81aa73be71cdf6fc3f66c8d0","observation_id":"7a070ae8-414d-4da4-b7a1-ad172ee62b94","resolution":{"observed_at":"2026-08-01T06:55:49.087296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.056015Z","title":"On the synchronization between hugging face pre-trained language models and their upstream github repository.arXiv preprint arXiv:2508.10157,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.056015Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:669278ea095bd4c5c447d7d4175e842c3d102a46958734b1e639668cd4e31abf","observation_id":"4e6fc1a9-4ca5-4faa-8632-bdd15aaa9378","resolution":{"observed_at":"2026-08-01T06:55:49.056015Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T06:55:49.061151Z","title":"Version v1","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face","version":1},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-01T06:55:49.061151Z"},"links":{"citing_paper":"/paper/2607.21738"},"observation_digest":"sha256:2d3ca12d9860d35113e5ed95566df647be13cf781d49c62de6992a8831a573fb","observation_id":"4de5cb20-1c06-44d1-a5d1-0d651af051fe","resolution":{"observed_at":"2026-08-01T06:55:49.061151Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.21738","last_updated":"2026-07-23T18:40:10Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-02T04:26:25.704719Z","submitted_at":"2026-07-23T18:40:10Z","title":"When Model Release Meets Model Reuse: Producer-Consumer Misalignment in Hugging Face"},"reference_resolution":{"displayed":20,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":20,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":20},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.21738."}