{"as_of":"2026-08-20T17:44:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1de205b27ebf20f9f79cd33aeb2089ef154750249dada24cbbe3b6f402e34cfd","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":10,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":10,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":10,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":10,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:55:36.077050Z","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":"2026-05-20T12:08:15.485657Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15201","snapshot_observed_at":"2026-08-07T14:55:36.077050Z","title":"Core-behrt: A carefully optimized and rigorously evaluated behrt","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.16941","last_updated":"2025-06-16T17:03:07Z","snapshot_observed_at":"2026-08-10T23:09:35.833404Z","submitted_at":"2025-05-22T17:29:52Z","title":"FoMoH: A clinically meaningful foundation model evaluation for structured electronic health records","version":3},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T14:55:36.077050Z"},"links":{"cited_paper":"/paper/2404.15201","citing_paper":"/paper/2505.16941"},"observation_digest":"sha256:406a0ee120fc9307972c4e3f3e6360a5eb2c34b3bc780bf1a61c0448324dc16a","observation_id":"8cc4b98c-70a6-4078-8664-b4ec3706bdbc","resolution":{"observed_at":"2026-08-07T14:55:36.077050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15201","snapshot_observed_at":"2026-08-05T10:52:59.133516Z","title":"URL https://arxiv.org/pdf/2404.15201","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.03643","last_updated":"2025-09-05T12:40:38Z","snapshot_observed_at":"2026-08-18T16:25:41.626801Z","submitted_at":"2025-09-03T18:50:03Z","title":"CEHR-XGPT: A Scalable Multi-Task Foundation Model for Electronic Health Records","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T10:52:59.133516Z"},"links":{"cited_paper":"/paper/2404.15201","citing_paper":"/paper/2509.03643"},"observation_digest":"sha256:aeb4bb279eae537716d261216ea7ccec8021e2cbcc60c9480bad8618ec0299ad","observation_id":"1da1245e-916b-4d8f-8019-48ecab428257","resolution":{"observed_at":"2026-08-05T10:52:59.133516Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT","version":4},"cited_work":{"arxiv_id":"2404.15201","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.15201","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Core-behrt: A carefully optimized and rigorously evaluated behrt","venue":null,"work_id":"f5ca4102-6104-44df-b399-5106fc3b2970","year":2024},"citing_paper":{"arxiv_id":"2602.00520","last_updated":"2026-05-14T03:32:56Z","snapshot_observed_at":"2026-08-16T12:58:51.439498Z","submitted_at":"2026-01-31T05:21:27Z","title":"NEST: Nested Event Stream Transformer for Sequences of Multisets","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-16T09:20:04.153122Z"},"links":{"cited_paper":"/paper/2404.15201","citing_paper":"/paper/2602.00520"},"observation_digest":"sha256:1007a76fa433fe2d4da47ba7edcfb2ba4414df874ef09434782d593648bb4ddc","observation_id":"8b531da4-5d45-4ea3-8fc5-92d4ebb36aed","resolution":{"observed_at":"2026-05-16T09:20:47.655334Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT","version":4},"cited_work":{"arxiv_id":"2404.15201","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.15201","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Core-behrt: A carefully optimized and rigorously evaluated behrt","venue":null,"work_id":"f5ca4102-6104-44df-b399-5106fc3b2970","year":2024},"citing_paper":{"arxiv_id":"2604.04175","last_updated":"2026-04-05T16:44:13Z","snapshot_observed_at":"2026-07-06T22:53:10.816748Z","submitted_at":"2026-04-05T16:44:13Z","title":"Uncertainty-Aware Foundation Models for Clinical Data","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-13T16:46:27.736570Z"},"links":{"cited_paper":"/paper/2404.15201","citing_paper":"/paper/2604.04175"},"observation_digest":"sha256:a7d0a987e422772301ae8ac8eff08b945ca61ae4dd64dbbbe8655a24e1151d1e","observation_id":"95ba5e1d-5667-488b-9bea-65ee7a0764f6","resolution":{"observed_at":"2026-05-13T16:48:02.934376Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15201","snapshot_observed_at":"2026-07-13T11:03:20.369425Z","title":"Core-behrt: A carefully optimized and rigorously evaluated behrt.arXiv preprint arXiv:2404.15201, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2604.04188","last_updated":"2026-04-11T11:36:38Z","snapshot_observed_at":"2026-08-06T06:50:53.140358Z","submitted_at":"2026-04-05T17:07:11Z","title":"Expanders Meet Reed-Muller: Easy Instances of Noisy k-XOR","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-07-13T11:03:20.369425Z"},"links":{"cited_paper":"/paper/2404.15201","citing_paper":"/paper/2604.04188"},"observation_digest":"sha256:f6dacd545044b8cb8174318ba765e494235b4f58d40ae64201c1602f5a61aa68","observation_id":"0311011b-bb66-4f86-b6e9-6becccbdacd0","resolution":{"observed_at":"2026-07-13T11:03:20.369425Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT","version":4},"cited_work":{"arxiv_id":"2404.15201","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.15201","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Core-behrt: A carefully optimized and rigorously evaluated behrt","venue":null,"work_id":"f5ca4102-6104-44df-b399-5106fc3b2970","year":2024},"citing_paper":{"arxiv_id":"2605.08685","last_updated":"2026-05-09T04:49:56Z","snapshot_observed_at":"2026-08-02T14:44:33.851541Z","submitted_at":"2026-05-09T04:49:56Z","title":"Event Fields: Learning Latent Event Structure for Waveform Foundation Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-12T01:16:48.039349Z"},"links":{"cited_paper":"/paper/2404.15201","citing_paper":"/paper/2605.08685"},"observation_digest":"sha256:6922a6d3ed3cac4149bfa2106b5957de644a75ff51a184da63b7dfcdb66717ac","observation_id":"c6263860-2680-459e-a558-7fb5296a0f4c","resolution":{"observed_at":"2026-05-12T08:06:32.114133Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT","version":4},"cited_work":{"arxiv_id":"2404.15201","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.15201","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Core-behrt: A carefully optimized and rigorously evaluated behrt","venue":null,"work_id":"f5ca4102-6104-44df-b399-5106fc3b2970","year":2024},"citing_paper":{"arxiv_id":"2605.09765","last_updated":"2026-05-10T21:25:41Z","snapshot_observed_at":"2026-08-14T10:24:40.518725Z","submitted_at":"2026-05-10T21:25:41Z","title":"WISTERIA: Learning Clinical Representations from Noisy Supervision via Multi-View Consistency in Electronic Health Records","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-12T02:17:54.498339Z"},"links":{"cited_paper":"/paper/2404.15201","citing_paper":"/paper/2605.09765"},"observation_digest":"sha256:14f6796ee0c980f098e3d1554184da789315512d680d2041de56c85d33a396e6","observation_id":"6cd84df2-3f29-472a-9921-d541ff68abe7","resolution":{"observed_at":"2026-05-12T07:41:44.619004Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT","version":4},"cited_work":{"arxiv_id":"2404.15201","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.15201","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Core-behrt: A carefully optimized and rigorously evaluated behrt","venue":null,"work_id":"f5ca4102-6104-44df-b399-5106fc3b2970","year":2024},"citing_paper":{"arxiv_id":"2605.12335","last_updated":"2026-05-12T16:17:03Z","snapshot_observed_at":"2026-08-17T19:40:29.523970Z","submitted_at":"2026-05-12T16:17:03Z","title":"EHR-RAGp: Retrieval-Augmented Prototype-Guided Foundation Model for Electronic Health Records","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-13T03:17:13.143208Z"},"links":{"cited_paper":"/paper/2404.15201","citing_paper":"/paper/2605.12335"},"observation_digest":"sha256:6a9f18bc9f9e03b29b066f4a26338b9c53f611fd7ea589b9b2cbcfa3b0a2cad6","observation_id":"158aafdd-a981-4246-b463-fdb378c758fa","resolution":{"observed_at":"2026-05-13T03:22:10.496366Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT","version":4},"cited_work":{"arxiv_id":"2404.15201","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.15201","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Core-behrt: A carefully optimized and rigorously evaluated behrt","venue":null,"work_id":"f5ca4102-6104-44df-b399-5106fc3b2970","year":2024},"citing_paper":{"arxiv_id":"2605.17765","last_updated":"2026-05-18T02:32:50Z","snapshot_observed_at":"2026-08-16T20:09:43.913471Z","submitted_at":"2026-05-18T02:32:50Z","title":"AURORA: Contextual Orthogonalization for Geometric Representation Learning in Healthcare Foundation Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-20T12:06:33.875494Z"},"links":{"cited_paper":"/paper/2404.15201","citing_paper":"/paper/2605.17765"},"observation_digest":"sha256:f8d1c4998af97f4663917ace84a6ea16340446837094b6b6cf13ada20c69a3c8","observation_id":"d2ae2743-cef6-4105-ad80-bff1edca2c98","resolution":{"observed_at":"2026-05-20T12:08:15.487281Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.15201","snapshot_observed_at":"2026-07-14T16:31:09.661787Z","title":"Core-behrt: A carefully optimized and rigorously evaluated behrt","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.09749","last_updated":"2026-07-03T22:00:54Z","snapshot_observed_at":"2026-08-15T15:56:02.579064Z","submitted_at":"2026-07-03T22:00:54Z","title":"MorphologyFM: A Foundation Model for Morphology-Aware Representation Learning from ECG and Pulse Oximetry Waveforms","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-07-14T16:31:09.661787Z"},"links":{"cited_paper":"/paper/2404.15201","citing_paper":"/paper/2607.09749"},"observation_digest":"sha256:3c413782b043002cd8c48586b1c50aefcd5290207cb98c3917bcb6c73ddffb64","observation_id":"0adb0ac1-f2e5-40c9-83fc-09c364cdbdd0","resolution":{"observed_at":"2026-07-14T16:31:09.661787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.15201/citation-record","integrity":"/paper/2404.15201/integrity","json":"/paper/2404.15201/citation-record.json","paper":"/paper/2404.15201"},"outbound":[],"paper":{"arxiv_id":"2404.15201","last_updated":"2024-10-11T05:26:01Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T13:58:27.800233Z","submitted_at":"2024-04-23T16:35:59Z","title":"CORE-BEHRT: A Carefully Optimized and Rigorously Evaluated BEHRT"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2404.15201."}