{"as_of":"2026-08-16T15:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f26416556a7dab856bb09ec996e610ab5611de7b2eff1442863f7fd6e8856b3d","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:13:58.507862Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.10360/citation-record","integrity":"/paper/2505.10360/integrity","json":"/paper/2505.10360/citation-record.json","paper":"/paper/2505.10360"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.755832Z","title":"The process of clinical consultation is crucial to patient outcomes and safety: 10 quality indicators","venue":null,"work_id":"cc65f1b5-92bd-4cf8-990e-840f636ce79f","year":2019},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.426420Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:739440bc008ded191ee9c4fb445b5289170736e07d8f1064e68731c4776ff4b3","observation_id":"352da6cd-5f0d-4214-af82-3baac04f67ab","resolution":{"observed_at":"2026-08-15T21:13:58.759426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.745546Z","title":"The impact of electronic health record systems on clinical documentation times: A systematic review","venue":null,"work_id":"079b86ad-dcde-44dc-a7e4-595116de768f","year":2018},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.430675Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:b35e5b5cef202038c296b7c663b9937547c06c951c8929c695bc46db12e4182b","observation_id":"5741eba6-a39d-477e-988a-40528d4df09a","resolution":{"observed_at":"2026-08-15T21:13:58.749124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.735753Z","title":"Hart, Lorelle Martin, Julia Todd, and Nicole Hosking","venue":null,"work_id":"35fa6e1b-38e9-461b-804d-5421dd8bd7b7","year":2025},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.434326Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:7a853e977a729609c01cdbcd73fcf7763d049291475f6f717774b3dd7f12b8e6","observation_id":"a932af31-e7cd-4e6a-b31f-4107aa0842b7","resolution":{"observed_at":"2026-08-15T21:13:58.739232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.725152Z","title":"Ambient artificial intelligence scribes: utilization and impact on documentation time","venue":null,"work_id":"5505cdc4-e2f6-4090-86aa-45f4d0b0fd9b","year":2024},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.438036Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:80d9b97feee55300f242441833477492ffb1b8b2160f8a41abce392cdc85bc0b","observation_id":"758dde60-fa71-47c5-9568-23a385fae5db","resolution":{"observed_at":"2026-08-15T21:13:58.729202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.715534Z","title":"Ambient artificial intelligence scribes to alleviate the burden of clinical documentation","venue":null,"work_id":"14e0cb3c-67ca-4e1c-9b09-bfebdd8f1887","year":2024},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.442440Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:da8ad0a765509238cd9ac26f61c18faa79d124648ea1ec2cbae9bf040b6e6eb4","observation_id":"440e414d-aff6-4501-8596-5e47519cd2e0","resolution":{"observed_at":"2026-08-15T21:13:58.719123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.704485Z","title":"Enhancing clinical documentation with ambient artificial intelligence: a quality improvement survey assessing clinician perspectives on work burden, burnout, and job satisfaction","venue":null,"work_id":"fd3948f6-091d-40ca-a51c-c085d35ad061","year":2025},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.446148Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:f070d1ef78fc448f6eead4edeff8f6604af61829a49f81cbf88c6f05254db1f0","observation_id":"9bdccde1-1ef4-40f8-902e-c18d775ee74d","resolution":{"observed_at":"2026-08-15T21:13:58.709060Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.693857Z","title":"Van Veen, C","venue":null,"work_id":"8ccaa053-5f0f-4b7b-bd85-f9b7837f25b6","year":2024},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.450844Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:241b725c1e461d18c3fdd27b9a64eacbeee13b36ff433d81b0c3334443cf1082","observation_id":"a4ab5be7-93eb-43b7-a77b-9589332dda6f","resolution":{"observed_at":"2026-08-15T21:13:58.697160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18724","last_updated":"2025-09-04T19:36:17Z","snapshot_observed_at":"2026-08-15T19:29:22.383494Z","submitted_at":"2025-01-30T19:58:45Z","title":"Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and Prediction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18724","snapshot_observed_at":"2026-08-15T21:13:58.455050Z","title":"Zero-shot large language models for long clinical text summarization with temporal reasoning, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.455050Z"},"links":{"cited_paper":"/paper/2501.18724","citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:b62c3182605d5ac36fd5041ce96484ead737f479d0a2c05445da25811a673353","observation_id":"068d0c2d-cd58-45c1-8d89-b8daf151e7e7","resolution":{"observed_at":"2026-08-15T21:13:58.455050Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.682587Z","title":null,"venue":null,"work_id":"f4f6fda1-5466-4405-8e53-786ed40e3594","year":2020},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.459406Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:2405bed747cffbb535a9d3759167d496f1349823b43398e59eb55ffb39d6a973","observation_id":"6f99834d-992c-4644-a57a-3ecc30832701","resolution":{"observed_at":"2026-08-15T21:13:58.686336Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.672269Z","title":"Inter-rater reliability and generalizability of patient note scores using a scoring rubric based on the usmle step-2 cs format","venue":null,"work_id":"b0cafd78-b94d-495e-b502-87cf6e57a47d","year":2016},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.463241Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:1259277eac57365cfe721a703f2762b711d190774d6cd6334daae3b315219ae1","observation_id":"d0ea9ca8-5b14-464a-9888-22e0b20a19b2","resolution":{"observed_at":"2026-08-15T21:13:58.675966Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.661059Z","title":"What disease does this patient have? a large-scale open domain question answering dataset from medical exams","venue":null,"work_id":"c4a3f9eb-8dbb-488f-b76e-f3d396d75f4f","year":2021},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.466549Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:1ce9e3ab514fbf05b34990a6c7ea665e282165bc1ffa6cca674341898656221b","observation_id":"f49b8673-1b67-4a26-8aee-c60381b397d3","resolution":{"observed_at":"2026-08-15T21:13:58.664729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.650082Z","title":"Large language models are zero-shot reasoners","venue":null,"work_id":"aa40d9ba-65de-4eed-a676-5921a0b7479f","year":2022},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.470576Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:c4a8cf141b766677fca32f863699f6d672dbb350e9d02137504ebe832eb127d3","observation_id":"98fd30d8-e75b-47bd-abde-f51f8f122a74","resolution":{"observed_at":"2026-08-15T21:13:58.653989Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.638331Z","title":"Chi, Quoc V","venue":null,"work_id":"2d144684-3caf-4e90-889d-62369ffa53a2","year":2022},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.474552Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:378a9ad775a0fe66b19bdad280712c7ad7042157d88f6ca13674910ebb2e4b04","observation_id":"55ca2158-6777-48d7-99ba-622b6abdede2","resolution":{"observed_at":"2026-08-15T21:13:58.642584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.627329Z","title":"S umm QA at MEDIQA -chat 2023: In-context learning with GPT -4 for medical summarization","venue":null,"work_id":"dbbe9243-0f22-4dc4-984a-24129610fdb7","year":2023},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.478063Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:b8d5be7527a239d0f39f1837aec96f650ec7f5071960d6229b953943cf017fac","observation_id":"3f30b428-4233-46e5-9011-4065217b5445","resolution":{"observed_at":"2026-08-15T21:13:58.630875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.616768Z","title":"What`s wrong? refining meeting summaries with LLM feedback","venue":null,"work_id":"f8dbee8e-5e3a-4027-b2c6-c644f325eab0","year":2025},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.481962Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:9903f45b134633f1e50f6c3b7f6f60982b8019a6bf93328f29b1575f92152e6f","observation_id":"3d5f8860-7f59-4142-b329-e751b2b0f99c","resolution":{"observed_at":"2026-08-15T21:13:58.620351Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.605752Z","title":"Fine-tuning large language models for specialized use cases","venue":null,"work_id":"1aab27be-c10d-4fef-a845-efcf3d06524b","year":2024},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.485210Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:a8e1efca814338aa374873ad01539195e44b473168c020c39a6921a708118a49","observation_id":"f79bf973-eb86-4a4b-9346-18b4e73535e9","resolution":{"observed_at":"2026-08-15T21:13:58.609477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.594663Z","title":"(in press): Primock57: A dataset of primary care mock consultations","venue":null,"work_id":"76008f0a-afdb-46f2-8654-fc29d4825dc0","year":2022},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.489094Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:37dac0ee446807812dbadd43b228b56e3b7bc6cfcdac4e778e4aae98381c87f7","observation_id":"4f593056-af66-4fc4-a79c-3ab275ef63bd","resolution":{"observed_at":"2026-08-15T21:13:58.598422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-15T21:13:58.582082Z","title":"Expert evaluation of large language models for clinical dialogue summarization","venue":null,"work_id":"de8460fb-d110-47a6-afa0-5d567043fbfb","year":2025},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.492362Z"},"links":{"citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:c145815255eb7f6274e3a07f99e33e0aeb96f6c4bd49e2066ca3aa144d92891e","observation_id":"4d765bda-f41d-4b9c-ba59-195f7f94f44c","resolution":{"observed_at":"2026-08-15T21:13:58.587536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01383","last_updated":"2025-05-14T06:05:53Z","snapshot_observed_at":"2026-08-16T14:22:09.467736Z","submitted_at":"2024-02-02T13:06:35Z","title":"LLM-based NLG Evaluation: Current Status and Challenges","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01383","snapshot_observed_at":"2026-08-15T21:13:58.495617Z","title":"Llm-based nlg evaluation: Current status and challenges, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.495617Z"},"links":{"cited_paper":"/paper/2402.01383","citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:934c1a3d24bcf6485a1b003bbed0240c0b3dbd925ce93cd19e76892caf2eda71","observation_id":"1c17be2c-e8c8-40c6-9430-2de92962a868","resolution":{"observed_at":"2026-08-15T21:13:58.495617Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.05579","last_updated":"2024-12-10T05:49:12Z","snapshot_observed_at":"2026-08-11T23:22:45.789386Z","submitted_at":"2024-12-07T08:07:24Z","title":"LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.05579","snapshot_observed_at":"2026-08-15T21:13:58.499336Z","title":"Llms-as-judges: A comprehensive survey on llm-based evaluation methods, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.499336Z"},"links":{"cited_paper":"/paper/2412.05579","citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:f355b33a5b97616fc8df00556ae1bc173e72c7eaa1515aa87aabbdc333562c87","observation_id":"162e8470-4a77-4f3e-927c-6e0de2dc27c0","resolution":{"observed_at":"2026-08-15T21:13:58.499336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16416","last_updated":"2026-04-23T17:36:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-03-20T17:59:23Z","title":"Survey on Evaluation of LLM-based Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.16416","snapshot_observed_at":"2026-08-15T21:13:58.503968Z","title":"Survey on evaluation of llm-based agents, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.503968Z"},"links":{"cited_paper":"/paper/2503.16416","citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:e47cd3f6918b605da45ef16260de05049606c456b5a58ccef357fb4f838e04b2","observation_id":"b5ffe7ce-fb91-4cde-850f-972c64c2f1dd","resolution":{"observed_at":"2026-08-15T21:13:58.503968Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.08775","last_updated":"2025-05-13T17:53:59Z","snapshot_observed_at":"2026-08-14T05:14:19.224957Z","submitted_at":"2025-05-13T17:53:59Z","title":"HealthBench: Evaluating Large Language Models Towards Improved Human Health","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.08775","snapshot_observed_at":"2026-08-15T21:13:58.507862Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-15T21:13:58.507862Z"},"links":{"cited_paper":"/paper/2505.08775","citing_paper":"/paper/2505.10360"},"observation_digest":"sha256:0e5d9fbdf4c7d3fc64ccc6fbaf08ca09159f958760cbf242f5f3ed2633576222","observation_id":"aed00b1c-0865-4810-953c-96f93c6f57a8","resolution":{"observed_at":"2026-08-15T21:13:58.507862Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.10360","last_updated":"2025-06-04T12:39:39Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-15T21:08:02.182813Z","submitted_at":"2025-05-15T14:51:22Z","title":"FactsR: A Safer Method for Producing High Quality Healthcare Documentation"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":16},"total_outbound_references":22},"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 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2505.10360."}