{"as_of":"2026-08-04T04:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:14bc8e31c6617ffaad1e173bdf972e41be1fedf2f7b624c474b160c05779efec","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":"2026-08-03T06:30:56.289259+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":"2026-06-28T13:28:11.189810Z","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":"2026-07-03T04:37:37.370607Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.11137","last_updated":"2024-10-21T16:48:06Z","snapshot_observed_at":"2026-07-06T17:31:29.199601Z","submitted_at":"2024-02-17T00:02:23Z","title":"TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks","version":3},"cited_work":{"arxiv_id":"2402.11137","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.11137","snapshot_observed_at":"2026-07-03T04:37:37.370607Z","title":"arXiv preprint arXiv:2402.11137 , eprint =","venue":null,"work_id":"b1f75801-b334-454f-80ec-21933ced71f5","year":2024},"citing_paper":{"arxiv_id":"2502.05564","last_updated":"2025-05-24T08:05:47Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-08T13:25:04Z","title":"TabICL: A Tabular Foundation Model for In-Context Learning on Large Data","version":2},"reference_index":151,"source":"arxiv_source","source_observed_at":"2026-05-20T13:35:02.018244Z"},"links":{"cited_paper":"/paper/2402.11137","citing_paper":"/paper/2502.05564"},"observation_digest":"sha256:883248e33b27c867fd88fa4f3bbde6324f220ac379343264821d6c7769292e8c","observation_id":"a08b5252-128b-48b5-9eb7-99b5c37fdfa4","resolution":{"observed_at":"2026-05-20T13:35:02.314505Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11137","last_updated":"2024-10-21T16:48:06Z","snapshot_observed_at":"2026-07-06T17:31:29.199601Z","submitted_at":"2024-02-17T00:02:23Z","title":"TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks","version":3},"cited_work":{"arxiv_id":"2402.11137","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.11137","snapshot_observed_at":"2026-07-03T04:37:37.370607Z","title":"arXiv preprint arXiv:2402.11137 , eprint =","venue":null,"work_id":"b1f75801-b334-454f-80ec-21933ced71f5","year":2024},"citing_paper":{"arxiv_id":"2606.01990","last_updated":"2026-06-01T09:47:59Z","snapshot_observed_at":"2026-07-06T23:42:26.018647Z","submitted_at":"2026-06-01T09:47:59Z","title":"Testing for Single-Population Ancestry in the Admixture Model","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-06-28T13:28:11.189810Z"},"links":{"cited_paper":"/paper/2402.11137","citing_paper":"/paper/2606.01990"},"observation_digest":"sha256:322b11ba00b2c5895e1453c7deaa7fc53e0f3c71f8bbea8688a31024f05f3fed","observation_id":"3061f41b-b651-49aa-b7e1-65868a09a723","resolution":{"observed_at":"2026-07-02T00:16:25.084190Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11137","last_updated":"2024-10-21T16:48:06Z","snapshot_observed_at":"2026-07-06T17:31:29.199601Z","submitted_at":"2024-02-17T00:02:23Z","title":"TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks","version":3},"cited_work":{"arxiv_id":"2402.11137","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.11137","snapshot_observed_at":"2026-07-03T04:37:37.370607Z","title":"arXiv preprint arXiv:2402.11137 , eprint =","venue":null,"work_id":"b1f75801-b334-454f-80ec-21933ced71f5","year":2024},"citing_paper":{"arxiv_id":"2606.11473","last_updated":"2026-06-09T22:07:04Z","snapshot_observed_at":"2026-08-01T20:25:21.564427Z","submitted_at":"2026-06-09T22:07:04Z","title":"CRUMB: Efficient Prior Fitted Network Inference via Distributionally Matched Context Batching","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-27T13:45:07.339338Z"},"links":{"cited_paper":"/paper/2402.11137","citing_paper":"/paper/2606.11473"},"observation_digest":"sha256:e07340ab958c605f40d2cc18f0bd960ca46c149cf6f4087105e7aafb3a445d83","observation_id":"37553006-a97a-4e03-af89-c0255f3bbfa7","resolution":{"observed_at":"2026-07-03T04:37:37.372253Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2402.11137/citation-record","integrity":"/paper/2402.11137/integrity","json":"/paper/2402.11137/citation-record.json","paper":"/paper/2402.11137"},"outbound":[],"paper":{"arxiv_id":"2402.11137","last_updated":"2024-10-21T16:48:06Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T17:31:29.199601Z","submitted_at":"2024-02-17T00:02:23Z","title":"TuneTables: Context Optimization for Scalable Prior-Data Fitted Networks"},"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":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.11137."}