{"as_of":"2026-08-07T19:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d8c60a632462168dbdc7699efea6b729974c204ad8cdda6b0f7c1ff84b8a5bb3","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:31:46.145417Z","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":"2026-07-04T17:20:00.551828Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.04945","last_updated":"2025-07-07T21:41:48Z","snapshot_observed_at":"2026-07-06T17:41:19.171822Z","submitted_at":"2024-03-07T23:20:56Z","title":"MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.04945","snapshot_observed_at":"2026-08-07T00:31:46.145417Z","title":"Meit: Multi-modal electrocardiogram instruction tuning on large language models for report generation.arXiv preprint arXiv:2403.04945, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13705","last_updated":"2025-06-16T17:12:26Z","snapshot_observed_at":"2026-08-07T00:24:59.995238Z","submitted_at":"2025-06-16T17:12:26Z","title":"TimeMaster: Training Time-Series Multimodal LLMs to Reason via Reinforcement Learning","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T00:31:46.145417Z"},"links":{"cited_paper":"/paper/2403.04945","citing_paper":"/paper/2506.13705"},"observation_digest":"sha256:186f68f81f233dd14ee599f9a92ef84182f6864fee78515649a9b0262e97ce08","observation_id":"28707692-27d3-4054-811b-5780e3fd3e6b","resolution":{"observed_at":"2026-08-07T00:31:46.145417Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04945","last_updated":"2025-07-07T21:41:48Z","snapshot_observed_at":"2026-07-06T17:41:19.171822Z","submitted_at":"2024-03-07T23:20:56Z","title":"MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation","version":4},"cited_work":{"arxiv_id":"2403.04945","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.04945","snapshot_observed_at":"2026-07-04T17:20:00.551828Z","title":"Electrocardiogram instruction tuning for report generation","venue":null,"work_id":"7358435c-70aa-4850-a3c9-59251d8bcd39","year":2024},"citing_paper":{"arxiv_id":"2604.02501","last_updated":"2026-04-02T20:09:05Z","snapshot_observed_at":"2026-07-30T03:07:00.572975Z","submitted_at":"2026-04-02T20:09:05Z","title":"ECG Foundation Models and Medical LLMs for Agentic Cardiovascular Intelligence at the Edge: A Review and Outlook","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-13T20:23:15.138933Z"},"links":{"cited_paper":"/paper/2403.04945","citing_paper":"/paper/2604.02501"},"observation_digest":"sha256:66295be34fe334981434a0732aab180f23abe3ae373a28c3b21e048a0f6f6ef9","observation_id":"7845da4c-5ad1-47fc-9229-e2d76cd95ce3","resolution":{"observed_at":"2026-05-13T20:28:14.260325Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04945","last_updated":"2025-07-07T21:41:48Z","snapshot_observed_at":"2026-07-06T17:41:19.171822Z","submitted_at":"2024-03-07T23:20:56Z","title":"MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation","version":4},"cited_work":{"arxiv_id":"2403.04945","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.04945","snapshot_observed_at":"2026-07-04T17:20:00.551828Z","title":"Electrocardiogram instruction tuning for report generation","venue":null,"work_id":"7358435c-70aa-4850-a3c9-59251d8bcd39","year":2024},"citing_paper":{"arxiv_id":"2606.24392","last_updated":"2026-06-30T05:07:59Z","snapshot_observed_at":"2026-08-03T08:58:35.055314Z","submitted_at":"2026-06-23T10:25:55Z","title":"ATRIA: Adaptive Traceable ECG Reporting with Iterative Agents","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-25T23:46:49.415037Z"},"links":{"cited_paper":"/paper/2403.04945","citing_paper":"/paper/2606.24392"},"observation_digest":"sha256:c04e4467cb5c7222f75e2954f573ab89f573a4f35a71cbd036be2140e63b8315","observation_id":"0c7c2817-6737-493b-93dc-cb3fbd9d83ab","resolution":{"observed_at":"2026-07-04T17:20:00.553565Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.04945","last_updated":"2025-07-07T21:41:48Z","snapshot_observed_at":"2026-07-06T17:41:19.171822Z","submitted_at":"2024-03-07T23:20:56Z","title":"MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation","version":4},"cited_work":{"arxiv_id":"2403.04945","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.04945","snapshot_observed_at":"2026-07-04T17:20:00.551828Z","title":"Electrocardiogram instruction tuning for report generation","venue":null,"work_id":"7358435c-70aa-4850-a3c9-59251d8bcd39","year":2024},"citing_paper":{"arxiv_id":"2606.24392","last_updated":"2026-06-30T05:07:59Z","snapshot_observed_at":"2026-08-03T08:58:35.055314Z","submitted_at":"2026-06-23T10:25:55Z","title":"ATRIA: Adaptive Traceable ECG Reporting with Iterative Agents","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-01T06:55:33.141672Z"},"links":{"cited_paper":"/paper/2403.04945","citing_paper":"/paper/2606.24392"},"observation_digest":"sha256:2e655d8a3369f08df66c04619098e41de0bfb77cbce5dd328d38c221df6d650d","observation_id":"4bb82010-e2c5-4752-9815-d28ae5a7f269","resolution":{"observed_at":"2026-07-01T08:55:35.879574Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2403.04945/citation-record","integrity":"/paper/2403.04945/integrity","json":"/paper/2403.04945/citation-record.json","paper":"/paper/2403.04945"},"outbound":[],"paper":{"arxiv_id":"2403.04945","last_updated":"2025-07-07T21:41:48Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T17:41:19.171822Z","submitted_at":"2024-03-07T23:20:56Z","title":"MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.04945."}