{"as_of":"2026-08-07T19:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4b2f743bd203d229f0a37340c73de16b21ebc5a31d6a7fea8192b2862f536bee","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T14:16:35.015805Z","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":"2026-05-11T00:20:55.760324Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2106.03598","last_updated":"2021-05-28T06:09:23Z","snapshot_observed_at":"2026-08-04T08:32:19.594748Z","submitted_at":"2021-05-28T06:09:23Z","title":"SciFive: a text-to-text transformer model for biomedical literature","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.03598","snapshot_observed_at":"2026-08-07T14:16:35.015805Z","title":"Scifive: a text-to-text transformer model for biomedical literature","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.19501","last_updated":"2025-06-02T21:31:08Z","snapshot_observed_at":"2026-08-07T14:10:39.542994Z","submitted_at":"2025-05-26T04:28:46Z","title":"Toward Scientific Reasoning in LLMs: Training from Expert Discussions via Reinforcement Learning","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:16:35.015805Z"},"links":{"cited_paper":"/paper/2106.03598","citing_paper":"/paper/2505.19501"},"observation_digest":"sha256:48aed36dc8b93ef2f09c6e46bb5310c49110344fcafae521db4bf367282fdc7b","observation_id":"c6f1273f-6232-412d-8f21-579df929b853","resolution":{"observed_at":"2026-08-07T14:16:35.015805Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.03598","last_updated":"2021-05-28T06:09:23Z","snapshot_observed_at":"2026-08-04T08:32:19.594748Z","submitted_at":"2021-05-28T06:09:23Z","title":"SciFive: a text-to-text transformer model for biomedical literature","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.03598","snapshot_observed_at":"2026-08-06T16:12:42.063803Z","title":"Scifive: a text-to-text transformer model for biomedical literature","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.14374","last_updated":"2025-07-18T21:41:20Z","snapshot_observed_at":"2026-08-06T15:55:28.363069Z","submitted_at":"2025-07-18T21:41:20Z","title":"Error-Aware Curriculum Learning for Biomedical Relation Classification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T16:12:42.063803Z"},"links":{"cited_paper":"/paper/2106.03598","citing_paper":"/paper/2507.14374"},"observation_digest":"sha256:872bdcf2cb18f7d994f884e9631c3e891233c34a10a54a90a94f25c18f95fd96","observation_id":"38576c62-c9f6-4f17-8996-8d17cc6c4c6d","resolution":{"observed_at":"2026-08-06T16:12:42.063803Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.03598","last_updated":"2021-05-28T06:09:23Z","snapshot_observed_at":"2026-08-04T08:32:19.594748Z","submitted_at":"2021-05-28T06:09:23Z","title":"SciFive: a text-to-text transformer model for biomedical literature","version":1},"cited_work":{"arxiv_id":"2106.03598","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2106.03598","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"SciFive: a text-to-text transformer model for biomedical literature","venue":null,"work_id":"1fee2f82-b19b-475d-82ee-e98ce74702df","year":2021},"citing_paper":{"arxiv_id":"2604.07424","last_updated":"2026-04-08T17:05:11Z","snapshot_observed_at":"2026-07-06T22:55:41.978450Z","submitted_at":"2026-04-08T17:05:11Z","title":"An Analysis of Artificial Intelligence Adoption in NIH-Funded Research","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-10T18:33:53.057731Z"},"links":{"cited_paper":"/paper/2106.03598","citing_paper":"/paper/2604.07424"},"observation_digest":"sha256:adabfb39deb338370ce7da5a6abe1dac716ff41e3297115ef5c68847aeffbca8","observation_id":"286e9847-6984-4b8f-bb0f-4ed038f93607","resolution":{"observed_at":"2026-05-11T00:20:55.764885Z","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/2106.03598/citation-record","integrity":"/paper/2106.03598/integrity","json":"/paper/2106.03598/citation-record.json","paper":"/paper/2106.03598"},"outbound":[],"paper":{"arxiv_id":"2106.03598","last_updated":"2021-05-28T06:09:23Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T08:32:19.594748Z","submitted_at":"2021-05-28T06:09:23Z","title":"SciFive: a text-to-text transformer model for biomedical literature"},"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 3 inbound Pith citation observations for arXiv:2106.03598."}