{"as_of":"2026-08-16T07:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f19ce38eab7602091822aa7d3c722a0e1fa41558bf5aac90d0df5a2e2d0342bb","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T16:38:50.662271Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":2,"observed_at":"2026-08-05T02:28:24.338817Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.20775","last_updated":"2024-08-13T10:18:45Z","snapshot_observed_at":"2026-08-12T23:12:04.317830Z","submitted_at":"2024-07-30T12:22:03Z","title":"Interpretable Pre-Trained Transformers for Heart Time-Series Data","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.20775","snapshot_observed_at":"2026-08-09T16:38:50.662271Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.01108","last_updated":"2025-07-23T23:13:37Z","snapshot_observed_at":"2026-08-14T04:22:48.987105Z","submitted_at":"2025-02-03T06:56:40Z","title":"Pulse-PPG: An Open-Source Field-Trained PPG Foundation Model for Wearable Applications Across Lab and Field Settings","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-09T16:38:50.662271Z"},"links":{"cited_paper":"/paper/2407.20775","citing_paper":"/paper/2502.01108"},"observation_digest":"sha256:f34634667363468d76f51e2f0cf7db8e43b40c43c35237a3af838eff9eb5509f","observation_id":"793ee55c-31f4-4fe7-9168-fff4a2f3ba10","resolution":{"observed_at":"2026-08-09T16:38:50.662271Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.20775","last_updated":"2024-08-13T10:18:45Z","snapshot_observed_at":"2026-08-12T23:12:04.317830Z","submitted_at":"2024-07-30T12:22:03Z","title":"Interpretable Pre-Trained Transformers for Heart Time-Series Data","version":2},"cited_work":{"arxiv_id":"2407.20775","doi":"10.48550/arxiv.2407.20775","metadata_source":"pith","pith_arxiv_id":"2407.20775","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"Interpretable Pre-Trained Transformers for Heart Time-Series Data","venue":"cs.LG","work_id":"73a37b9d-81b6-4247-bc00-fb052c107043","year":2024},"citing_paper":{"arxiv_id":"2601.00014","last_updated":"2026-06-17T19:49:00Z","snapshot_observed_at":"2026-08-03T15:01:38.270564Z","submitted_at":"2025-12-20T21:36:47Z","title":"Modeling Day-Long ECG Signals to Predict Heart Failure Risk with Explainable AI","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T15:01:43.970494Z"},"links":{"cited_paper":"/paper/2407.20775","citing_paper":"/paper/2601.00014"},"observation_digest":"sha256:679b1a4ec1ea6ad9e49de985d5280a60ed9b99111c60138017ccc1114c42efc7","observation_id":"30456234-0314-479e-aae2-012ecaa18537","resolution":{"observed_at":"2026-08-03T15:04:04.013381Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2407.20775/citation-record","integrity":"/paper/2407.20775/integrity","json":"/paper/2407.20775/citation-record.json","paper":"/paper/2407.20775"},"outbound":[],"paper":{"arxiv_id":"2407.20775","last_updated":"2024-08-13T10:18:45Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T23:12:04.317830Z","submitted_at":"2024-07-30T12:22:03Z","title":"Interpretable Pre-Trained Transformers for Heart Time-Series Data"},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.20775."}