{"as_of":"2026-08-09T19:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7d36b6e0f78a11e3f918e33c47e8a3fbfb0438be37b6be38dd360a0bd82cfdb5","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T14:46:58.450056Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T09:55:40.811765Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.18530","last_updated":"2026-07-24T06:54:55Z","snapshot_observed_at":"2026-07-29T23:52:00.303385Z","submitted_at":"2025-01-30T17:56:52Z","title":"Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18530","snapshot_observed_at":"2026-08-05T14:46:58.450056Z","title":"Barbier, F","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.20989","last_updated":"2025-08-28T16:49:09Z","snapshot_observed_at":"2026-08-05T14:46:56.343419Z","submitted_at":"2025-08-28T16:49:09Z","title":"Microscopic and collective signatures of feature learning in neural networks","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-05T14:46:58.450056Z"},"links":{"cited_paper":"/paper/2501.18530","citing_paper":"/paper/2508.20989"},"observation_digest":"sha256:400c43a419f4521e9b46bfb8795f6aa6f88c98826678886f1e8291181e04f75d","observation_id":"f1cd2bcc-79ba-4acf-be0e-c9c36e7a0874","resolution":{"observed_at":"2026-08-05T14:46:58.450056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18530","last_updated":"2026-07-24T06:54:55Z","snapshot_observed_at":"2026-07-29T23:52:00.303385Z","submitted_at":"2025-01-30T17:56:52Z","title":"Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation","version":3},"cited_work":{"arxiv_id":"2501.18530","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18530","snapshot_observed_at":"2026-07-27T01:19:45.486658Z","title":"Optimal generalisation and learning transition in extensive- width shallow neural networks near interpolation,","venue":null,"work_id":"19975e16-62c5-4995-898f-cbf835323f7a","year":2025},"citing_paper":{"arxiv_id":"2605.29684","last_updated":"2026-05-28T09:49:54Z","snapshot_observed_at":"2026-08-07T23:21:28.950064Z","submitted_at":"2026-05-28T09:49:54Z","title":"Kernel Renormalization in Bayesian Deep Neural Networks: the Equivalent Wishart Ansatz in the Proportional Regime","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-06-29T09:05:22.065994Z"},"links":{"cited_paper":"/paper/2501.18530","citing_paper":"/paper/2605.29684"},"observation_digest":"sha256:0280e4c698065375d611338d8e206d7217c1f52978ac715ddb3f0ae1feaf2538","observation_id":"0cb58844-94df-4d22-a4f3-0cea5a276554","resolution":{"observed_at":"2026-07-27T01:19:45.486658Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18530","last_updated":"2026-07-24T06:54:55Z","snapshot_observed_at":"2026-07-29T23:52:00.303385Z","submitted_at":"2025-01-30T17:56:52Z","title":"Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation","version":3},"cited_work":{"arxiv_id":"2501.18530","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18530","snapshot_observed_at":"2026-07-27T01:19:45.486658Z","title":"Optimal generalisation and learning transition in extensive- width shallow neural networks near interpolation,","venue":null,"work_id":"19975e16-62c5-4995-898f-cbf835323f7a","year":2025},"citing_paper":{"arxiv_id":"2606.31110","last_updated":"2026-06-30T04:15:23Z","snapshot_observed_at":"2026-08-02T08:26:02.836428Z","submitted_at":"2026-06-30T04:15:23Z","title":"Explaining Machine Learning and Memorization with Statistical Mechanics","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-01T06:04:52.621553Z"},"links":{"cited_paper":"/paper/2501.18530","citing_paper":"/paper/2606.31110"},"observation_digest":"sha256:eee22b238bb70b6b1074d856d38a617df0b830fc8b75129ddce16e254e96fe1e","observation_id":"3cbd02fb-0489-42c3-b393-78e5c295a582","resolution":{"observed_at":"2026-07-27T01:19:45.486658Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.18530/citation-record","integrity":"/paper/2501.18530/integrity","json":"/paper/2501.18530/citation-record.json","paper":"/paper/2501.18530"},"outbound":[],"paper":{"arxiv_id":"2501.18530","last_updated":"2026-07-24T06:54:55Z","latest_version":3,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-29T23:52:00.303385Z","submitted_at":"2025-01-30T17:56:52Z","title":"Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolation"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.18530."}