{"as_of":"2026-08-19T09:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fd479e564c87446f2d665c26c39c329a841a081432680e95738f6f7c1eca0e9f","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T23:28:02.233478Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.00147","last_updated":"2025-02-03T11:55:40Z","snapshot_observed_at":"2026-08-18T22:45:31.686378Z","submitted_at":"2024-10-31T18:50:15Z","title":"Mutual Information Preserving Neural Network Pruning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.00147","snapshot_observed_at":"2026-08-15T23:28:02.233478Z","title":"Mutual information preserving neural network pruning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04861","last_updated":"2025-05-08T00:08:31Z","snapshot_observed_at":"2026-08-18T09:08:50.583164Z","submitted_at":"2025-05-08T00:08:31Z","title":"Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-15T23:28:02.233478Z"},"links":{"cited_paper":"/paper/2411.00147","citing_paper":"/paper/2505.04861"},"observation_digest":"sha256:a38f8b33cc2fb2679591e12f382e8fa69f64b76971813e68067490300d0b4f8c","observation_id":"fe916578-f469-4f43-9311-ca167b95c30d","resolution":{"observed_at":"2026-08-15T23:28:02.233478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.00147","last_updated":"2025-02-03T11:55:40Z","snapshot_observed_at":"2026-08-18T22:45:31.686378Z","submitted_at":"2024-10-31T18:50:15Z","title":"Mutual Information Preserving Neural Network Pruning","version":2},"cited_work":{"arxiv_id":"2411.00147","doi":"10.48550/arxiv.2411.00147","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.00147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2411.00147 , year=","venue":"arXiv (Cornell University)","work_id":"81ff617d-5aca-4e04-ae79-0048f9409f92","year":null},"citing_paper":{"arxiv_id":"2510.22767","last_updated":"2026-05-10T13:04:53Z","snapshot_observed_at":"2026-08-11T08:27:09.031111Z","submitted_at":"2025-10-26T17:34:40Z","title":"TELL-TALE: Task Efficient LLMs with Task Aware Layer Elimination","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-18T04:12:46.136704Z"},"links":{"cited_paper":"/paper/2411.00147","citing_paper":"/paper/2510.22767"},"observation_digest":"sha256:2f87e11c0742d5cfda989ffee86846066b038d0d8b74c751524b9dbffacf5b8d","observation_id":"a38d67eb-9073-465d-8488-5ce856e695c6","resolution":{"observed_at":"2026-05-18T04:15:51.861872Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.00147","last_updated":"2025-02-03T11:55:40Z","snapshot_observed_at":"2026-08-18T22:45:31.686378Z","submitted_at":"2024-10-31T18:50:15Z","title":"Mutual Information Preserving Neural Network Pruning","version":2},"cited_work":{"arxiv_id":"2411.00147","doi":"10.48550/arxiv.2411.00147","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.00147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2411.00147 , year=","venue":"arXiv (Cornell University)","work_id":"81ff617d-5aca-4e04-ae79-0048f9409f92","year":null},"citing_paper":{"arxiv_id":"2605.07086","last_updated":"2026-05-08T01:09:39Z","snapshot_observed_at":"2026-08-15T00:59:51.764424Z","submitted_at":"2026-05-08T01:09:39Z","title":"Task Relevance Is Not Local Replaceability: A Two-Axis View of Channel Information","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-11T01:26:04.372730Z"},"links":{"cited_paper":"/paper/2411.00147","citing_paper":"/paper/2605.07086"},"observation_digest":"sha256:ba9abb472bafd072dd39bfde439505390eddb6837fe993edcb767d34b57b56b4","observation_id":"0960cd31-f4af-4677-9235-9bd3f9cb78a6","resolution":{"observed_at":"2026-05-11T04:25:56.760419Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.00147","last_updated":"2025-02-03T11:55:40Z","snapshot_observed_at":"2026-08-18T22:45:31.686378Z","submitted_at":"2024-10-31T18:50:15Z","title":"Mutual Information Preserving Neural Network Pruning","version":2},"cited_work":{"arxiv_id":"2411.00147","doi":"10.48550/arxiv.2411.00147","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.00147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2411.00147 , year=","venue":"arXiv (Cornell University)","work_id":"81ff617d-5aca-4e04-ae79-0048f9409f92","year":null},"citing_paper":{"arxiv_id":"2605.07086","last_updated":"2026-05-08T01:09:39Z","snapshot_observed_at":"2026-08-15T00:59:51.764424Z","submitted_at":"2026-05-08T01:09:39Z","title":"Task Relevance Is Not Local Replaceability: A Two-Axis View of Channel Information","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-11T01:26:04.372730Z"},"links":{"cited_paper":"/paper/2411.00147","citing_paper":"/paper/2605.07086"},"observation_digest":"sha256:5084096702d4785b0f94a7bf8ea276e6506aee3293b9f8cb9d2d754c8d915e64","observation_id":"dc5b8a50-5c45-410d-8d78-3883c0010f52","resolution":{"observed_at":"2026-05-11T01:30:51.323824Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.00147","last_updated":"2025-02-03T11:55:40Z","snapshot_observed_at":"2026-08-18T22:45:31.686378Z","submitted_at":"2024-10-31T18:50:15Z","title":"Mutual Information Preserving Neural Network Pruning","version":2},"cited_work":{"arxiv_id":"2411.00147","doi":"10.48550/arxiv.2411.00147","metadata_source":"arxiv_reference","pith_arxiv_id":"2411.00147","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"arXiv preprint arXiv:2411.00147 , year=","venue":"arXiv (Cornell University)","work_id":"81ff617d-5aca-4e04-ae79-0048f9409f92","year":null},"citing_paper":{"arxiv_id":"2605.14738","last_updated":"2026-06-10T08:53:16Z","snapshot_observed_at":"2026-08-12T21:07:08.281089Z","submitted_at":"2026-05-14T12:01:05Z","title":"TAPIOCA: Why Task- Aware Pruning Improves OOD model Capability","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-22T10:09:46.259358Z"},"links":{"cited_paper":"/paper/2411.00147","citing_paper":"/paper/2605.14738"},"observation_digest":"sha256:41c5a02c657d7e64b552370a94f0a5604a88f5ff77cffacedf0c2acad3b00f5d","observation_id":"e2ae6b20-9ad0-431f-9143-d36ecef4e156","resolution":{"observed_at":"2026-05-22T10:11:23.163526Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.00147/citation-record","integrity":"/paper/2411.00147/integrity","json":"/paper/2411.00147/citation-record.json","paper":"/paper/2411.00147"},"outbound":[],"paper":{"arxiv_id":"2411.00147","last_updated":"2025-02-03T11:55:40Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-18T22:45:31.686378Z","submitted_at":"2024-10-31T18:50:15Z","title":"Mutual Information Preserving Neural Network Pruning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.00147."}