{"as_of":"2026-08-14T13:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:61285fe13f0c5f84c0d8f64246056d16a1d28f7c388d2a6f5e8f0d542941bf0d","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":"2026-08-14T06:32:32.682623+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":"2026-08-06T18:32:20.179744Z","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":"2026-07-03T22:59:03.283286Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.12449","last_updated":"2024-06-18T09:53:37Z","snapshot_observed_at":"2026-08-12T23:40:15.621252Z","submitted_at":"2024-06-18T09:53:37Z","title":"Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.12449","snapshot_observed_at":"2026-08-06T18:32:20.179744Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07983","last_updated":"2025-07-10T17:56:03Z","snapshot_observed_at":"2026-08-09T17:22:08.397085Z","submitted_at":"2025-07-10T17:56:03Z","title":"Performance and Practical Considerations of Large and Small Language Models in Clinical Decision Support in Rheumatology","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:32:20.179744Z"},"links":{"cited_paper":"/paper/2406.12449","citing_paper":"/paper/2507.07983"},"observation_digest":"sha256:e527204a362097f44dc102f22f9052d6e79abb092977f0d9ea3df3b55e582887","observation_id":"e154e351-5c64-4309-805b-aa34aa2ab13f","resolution":{"observed_at":"2026-08-06T18:32:20.179744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.12449","last_updated":"2024-06-18T09:53:37Z","snapshot_observed_at":"2026-08-12T23:40:15.621252Z","submitted_at":"2024-06-18T09:53:37Z","title":"Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine","version":1},"cited_work":{"arxiv_id":"2406.12449","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.12449","snapshot_observed_at":"2026-07-03T22:59:03.283286Z","title":"Retrieval-augmented gen- eration for generative artificial intelligence in medicine,","venue":null,"work_id":"aacf0efc-0b24-4c1e-a32c-e71f9b573d63","year":2024},"citing_paper":{"arxiv_id":"2606.17789","last_updated":"2026-06-16T11:05:43Z","snapshot_observed_at":"2026-07-06T23:53:21.186284Z","submitted_at":"2026-06-16T11:05:43Z","title":"Mind Companion: An Embodied Conversational Agent for Process-Based Psychotherapy","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-26T23:07:48.991096Z"},"links":{"cited_paper":"/paper/2406.12449","citing_paper":"/paper/2606.17789"},"observation_digest":"sha256:1e56a3d701dd1b6b7c5c78d5cab35a2a108842307466957d51b473d2bc1ef61f","observation_id":"d4b25cfe-87d4-4c5d-ab67-da05e03c68ad","resolution":{"observed_at":"2026-07-03T22:59:03.285930Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.12449/citation-record","integrity":"/paper/2406.12449/integrity","json":"/paper/2406.12449/citation-record.json","paper":"/paper/2406.12449"},"outbound":[],"paper":{"arxiv_id":"2406.12449","last_updated":"2024-06-18T09:53:37Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-12T23:40:15.621252Z","submitted_at":"2024-06-18T09:53:37Z","title":"Retrieval-Augmented Generation for Generative Artificial Intelligence in Medicine"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.12449."}