{"as_of":"2026-08-09T19:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:127c0a52917612733b2e9a862ecef058577875596c59b052ac61077180ed126e","coverage":[{"denominator":60,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":60,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T15:03:47.758116Z","state":"measured"},{"denominator":60,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":60,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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/2608.05341/citation-record","integrity":"/paper/2608.05341/integrity","json":"/paper/2608.05341/citation-record.json","paper":"/paper/2608.05341"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2601.17151","last_updated":"2026-07-29T22:14:05Z","snapshot_observed_at":"2026-08-06T15:22:04.057661Z","submitted_at":"2026-01-23T20:14:21Z","title":"Scaling medical imaging report generation with multimodal reinforcement learning","version":2},"cited_work":{"arxiv_id":"2601.17151","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.17151","snapshot_observed_at":"2026-08-08T15:03:48.790399Z","title":"Scaling medical imaging report generation with multimodal reinforcement learning","venue":"cs.CV","work_id":"fb2ee0e8-e8ce-438c-9ede-287f3739ab50","year":2026},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.320868Z"},"links":{"cited_paper":"/paper/2601.17151","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:5f6b76579399f1667ce6791dda2382d1e541080ac6a6a50a130ac41c244e9745","observation_id":"388eb7d9-84b5-40a8-8af7-20bf04032b04","resolution":{"observed_at":"2026-08-08T15:03:48.797429Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20930","last_updated":"2025-05-21T08:50:11Z","snapshot_observed_at":"2026-08-07T15:58:08.384988Z","submitted_at":"2025-04-29T16:48:23Z","title":"ChestX-Reasoner: Advancing Radiology Foundation Models with Reasoning through Step-by-Step Verification","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.20930","snapshot_observed_at":"2026-08-08T15:03:47.328504Z","title":"arXiv preprint arXiv:2504.20930 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.328504Z"},"links":{"cited_paper":"/paper/2504.20930","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:064027d33b7bcfdbea26f76c4eb0b05e1e9deb1263b318c9b0169bcebfb79217","observation_id":"0a83260e-6e50-4f44-9f49-bbdb55f46eb0","resolution":{"observed_at":"2026-08-08T15:03:47.328504Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.334081Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.334081Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:95adf373ad2c14a6964a51522404b0ca67a08fc6ed0d26d4fd18b648898251a3","observation_id":"5e8918ef-f560-42e5-8cfe-f01b2af13185","resolution":{"observed_at":"2026-08-08T15:03:47.334081Z","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":"2026-08-08T15:03:49.352291Z","title":"Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining , pages=","venue":null,"work_id":"b009a792-a392-4832-b123-ecf104699ec1","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.338959Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:714877f723ae22a16f74df03d4fe900e88236e3c51dbf4aa87a477c13864028e","observation_id":"5f2fab35-015d-4b7d-994c-b78cb10b1c0c","resolution":{"observed_at":"2026-08-08T15:03:49.356919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.14922","last_updated":"2024-12-19T15:00:18Z","snapshot_observed_at":"2026-07-06T20:10:08.781784Z","submitted_at":"2024-12-19T15:00:18Z","title":"RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.14922","snapshot_observed_at":"2026-08-08T15:03:47.372014Z","title":"arXiv preprint arXiv:2412.14922 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.372014Z"},"links":{"cited_paper":"/paper/2412.14922","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:af802324417a7b1b1000e9edfc379f26427ab6a29c815e367a10060fac7410fc","observation_id":"42707746-db80-41b5-92e1-f78f8e1d47ae","resolution":{"observed_at":"2026-08-08T15:03:47.372014Z","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":"2026-08-08T15:03:49.337625Z","title":"Applied Sciences , volume=","venue":null,"work_id":"c585b2f8-94f6-43bf-a9c4-3786195bb58b","year":2025},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.404155Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:d8829b2a6517e32d28db7296d25cfe2a2ea035e89ff755b30c50758d6db28d4e","observation_id":"511a8cc6-be4d-4f55-adcf-9aea5cf8127a","resolution":{"observed_at":"2026-08-08T15:03:49.342510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.04102","last_updated":"2024-05-28T17:11:53Z","snapshot_observed_at":"2026-07-06T17:56:06.438303Z","submitted_at":"2024-04-05T13:58:51Z","title":"ROPO: Robust Preference Optimization for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.04102","snapshot_observed_at":"2026-08-08T15:03:47.432810Z","title":"arXiv preprint arXiv:2404.04102 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.432810Z"},"links":{"cited_paper":"/paper/2404.04102","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:86dff7e5edec7639758dceac1c0d725fd0bdc39e82960996f6a820ff5313c9bb","observation_id":"4ef28b62-6b66-4844-8d53-f4aa821171e0","resolution":{"observed_at":"2026-08-08T15:03:47.432810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.00409","last_updated":"2024-04-12T01:09:37Z","snapshot_observed_at":"2026-08-09T15:30:16.931351Z","submitted_at":"2024-03-01T09:55:18Z","title":"Provably Robust DPO: Aligning Language Models with Noisy Feedback","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.00409","snapshot_observed_at":"2026-08-08T15:03:47.464904Z","title":"arXiv preprint arXiv:2403.00409 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.464904Z"},"links":{"cited_paper":"/paper/2403.00409","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:9cf150832b50ee518e47e700f59f51d72d9ea658edef3686e191d76831e9a3c3","observation_id":"bff2af43-1386-4c93-8032-bc0d540df63a","resolution":{"observed_at":"2026-08-08T15:03:47.464904Z","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":"2026-08-08T15:03:49.321712Z","title":"Radiology: Artificial Intelligence , volume=","venue":null,"work_id":"c7451abf-fa7b-4b80-8d67-4acdaf111a8a","year":2024},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.491601Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:62511525451a076bc0de97d42665f586ace34cb229623310f9b93978377cd36d","observation_id":"c56e6381-c7ef-4265-aed9-1488e72e1bae","resolution":{"observed_at":"2026-08-08T15:03:49.327147Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.305759Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":"a28d72f4-b3e0-445b-b3a0-6a5a62f36923","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.521581Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:c63c874d68a73d88859cdb93d50d5da83c4c4506c7690774d33ba81331e40837","observation_id":"f9c49eae-1f5c-4830-b6b6-98f69a16c6a2","resolution":{"observed_at":"2026-08-08T15:03:49.310767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.289701Z","title":"Journal of Machine Learning Research , volume=","venue":null,"work_id":"f8044d65-6422-4e09-a56a-207fc764d029","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.526081Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:df38812c9fc4a53c254c4ebbf83a9dcb639566801b13cefa37a558f2fb80a253","observation_id":"1a4ea421-8f60-41e1-8328-71e4276256de","resolution":{"observed_at":"2026-08-08T15:03:49.294355Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.274618Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":"7c74691a-fcc1-45fa-a760-0a62c6281802","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.530414Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:6ff66c0b3a7b0ac1fe41b9ba1042232150ead621170f11f9ba361a1539c00304","observation_id":"5c7b3e6b-d188-421a-8532-7b05a3bad0b8","resolution":{"observed_at":"2026-08-08T15:03:49.279393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.259503Z","title":"Proceedings of the 2020 conference on empirical methods in natural language processing (EMNLP) , pages=","venue":null,"work_id":"37539810-b238-4dcd-bd8a-03ea2b3b58dc","year":2020},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.535475Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:e867a424eba9a95f9186c35eb39c3c85e10857329b8bfda09932d48504ea8eda","observation_id":"8701ce51-b5c1-43b4-a500-0697951c833f","resolution":{"observed_at":"2026-08-08T15:03:49.264404Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.243959Z","title":"Nature Machine Intelligence , volume=","venue":null,"work_id":"303f8050-f98d-4efa-af2f-127a67b5e9e1","year":2022},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.540601Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:7d948010d7eeced872dd97399ea53470b7f7da1830532906199226327ead322c","observation_id":"af1f99c5-0ee8-4900-9811-0bd88f8a9cf1","resolution":{"observed_at":"2026-08-08T15:03:49.248970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.228557Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":"7bf6b3a6-8a72-433a-9464-4d3a63e81f66","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.545579Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:d0a682e626dc12af444a51d47c0e14dae766b28547dec71f638953e4b58712f9","observation_id":"a1ea2962-7cd5-4181-b426-7951dfc77ecc","resolution":{"observed_at":"2026-08-08T15:03:49.233352Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11456","last_updated":"2024-05-01T14:50:56Z","snapshot_observed_at":"2026-08-02T03:59:22.576409Z","submitted_at":"2023-12-18T18:58:42Z","title":"Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-Constraint","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11456","snapshot_observed_at":"2026-08-08T15:03:47.550403Z","title":"arXiv preprint arXiv:2312.11456 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.550403Z"},"links":{"cited_paper":"/paper/2312.11456","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:43e9dc935bb288a803023530d79aed8a9d7b66a114f46c8704394103422c2b06","observation_id":"801be598-9771-4bfb-a8e4-51aa7ce27033","resolution":{"observed_at":"2026-08-08T15:03:47.550403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.14367","last_updated":"2024-06-02T22:00:42Z","snapshot_observed_at":"2026-07-06T18:03:51.687441Z","submitted_at":"2024-04-22T17:20:18Z","title":"Preference Fine-Tuning of LLMs Should Leverage Suboptimal, On-Policy Data","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.14367","snapshot_observed_at":"2026-08-08T15:03:47.555846Z","title":"arXiv preprint arXiv:2404.14367 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.555846Z"},"links":{"cited_paper":"/paper/2404.14367","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:c304ebfeb5b5f30f7e00a96d2097fcb42feda0ec041ec0613b152e4a810b8ec5","observation_id":"5851097e-e363-4ee1-88f2-1870a2f0bb99","resolution":{"observed_at":"2026-08-08T15:03:47.555846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.06961","last_updated":"2024-10-09T14:57:31Z","snapshot_observed_at":"2026-07-06T19:30:26.233621Z","submitted_at":"2024-10-09T14:57:31Z","title":"Self-Boosting Large Language Models with Synthetic Preference Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.06961","snapshot_observed_at":"2026-08-08T15:03:47.560820Z","title":"arXiv preprint arXiv:2410.06961 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.560820Z"},"links":{"cited_paper":"/paper/2410.06961","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:42f616fde0218c436fdadc22156b22d8c027368920922152e118730fede5f500","observation_id":"0bfe0f4b-be8a-4c16-8a18-7b419e7ba1e7","resolution":{"observed_at":"2026-08-08T15:03:47.560820Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.565918Z","title":"Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: long papers) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.565918Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:18cd0ba002585402348f20b041dbd49d88db12f1066545aa4e8d577776e75b26","observation_id":"98879e5e-cc51-4317-bcf4-1c828c326fb6","resolution":{"observed_at":"2026-08-08T15:03:47.565918Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.570808Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.570808Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:a8c40d2b00e5b0c12940f41b9a78c26589218cfc684e0d744b7416d937ed5ed3","observation_id":"13e3c91b-8b2d-4fb3-ae21-c3af1cb45089","resolution":{"observed_at":"2026-08-08T15:03:47.570808Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.575343Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.575343Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:5cefc9f12eeab558784d69fe625d6d015f559a8f38ee22fc9dff21438d7b33cc","observation_id":"bd1d66a6-3361-4b36-a956-0a84b75bd3a3","resolution":{"observed_at":"2026-08-08T15:03:47.575343Z","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":"2026-08-08T15:03:49.185137Z","title":"Proceedings of the Conference on Health, Inference, and Learning , pages=","venue":null,"work_id":"ca78ce52-4f66-4e60-808d-02e335d02f8a","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.579890Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:ecf6cd4f19424d8c5b3c391b36fcd1334432f059e0e7bcf148e4c84f1fce1a17","observation_id":"dd74a5bc-4b15-43b6-b9c0-5558bb3c21b7","resolution":{"observed_at":"2026-08-08T15:03:49.189982Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.169823Z","title":"Radiology , volume=","venue":null,"work_id":"7cb6ab74-8568-448d-9f9f-49d6d6be6ec7","year":2020},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.584498Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:df35804148e35011f9821e95deb5f4c4d4f605a3df0c1bfbc4e378be509854d0","observation_id":"2392eebb-134b-4c2d-8370-d10909a43c9a","resolution":{"observed_at":"2026-08-08T15:03:49.174555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.154662Z","title":"IEEE transactions on neural networks and learning systems , volume=","venue":null,"work_id":"1a7207a7-268d-4e22-803e-4036c2b49eba","year":2013},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.589450Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:c1f60a2271e013f64e483bbea8d272776a04c3321a9ce2dfa515c659f8e02d41","observation_id":"df1d5de8-ff29-484d-84fb-8f1540408533","resolution":{"observed_at":"2026-08-08T15:03:49.159521Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.139379Z","title":"International conference on algorithmic learning theory , pages=","venue":null,"work_id":"f303538c-e993-466c-9897-c8983a401a9b","year":1999},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.595948Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:64e2312e937aed816aaebea6bfef58fe96a7e61dbb7eefc6450665824cf17f1c","observation_id":"0c9a0e5d-8014-4439-9617-71fcf80cc61f","resolution":{"observed_at":"2026-08-08T15:03:49.144530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.124545Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":"01c68ae0-f3dd-4118-9245-618b4fa1f21b","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.600687Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:2c5d84426c01fcd4b8a317d3737a7710605b7fd042752983cb584b2cf990acfb","observation_id":"b196f510-51d3-43f0-9e66-225126da1b34","resolution":{"observed_at":"2026-08-08T15:03:49.129283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.109416Z","title":"IEICE TRANSACTIONS on Information and Systems , volume=","venue":null,"work_id":"6ec6540e-abfc-4862-854a-57700db66013","year":2014},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.605362Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:980c8d28628547ad0a57134b71a41acf439ce3183c0830867d636f6d936e9d0b","observation_id":"a5df2ae2-45ad-4bfd-a561-0cae3f6c6482","resolution":{"observed_at":"2026-08-08T15:03:49.114287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1601.01944","last_updated":"2016-01-08T16:56:55Z","snapshot_observed_at":"2026-08-03T09:06:02.772068Z","submitted_at":"2016-01-08T16:56:55Z","title":"Nonparametric semi-supervised learning of class proportions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1601.01944","snapshot_observed_at":"2026-08-08T15:03:47.610046Z","title":"arXiv preprint arXiv:1601.01944 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.610046Z"},"links":{"cited_paper":"/paper/1601.01944","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:521fed94bea9af9740564318e2e336978b4fd1975ab0104f78d82ae6293d395c","observation_id":"2ebe65d6-e5d5-44e9-b777-16f69f3a69fb","resolution":{"observed_at":"2026-08-08T15:03:47.610046Z","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":"2026-08-08T15:03:49.093442Z","title":"International conference on learning representations , year=","venue":null,"work_id":"df4216f7-5e5d-4130-9222-f1b4a92b9d25","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.614377Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:4ae02113566cb51c1c0350d870c8916010fd2f53f021e178016f59248b24fb39","observation_id":"4b3e077f-99c3-4044-9f6d-d55c47301488","resolution":{"observed_at":"2026-08-08T15:03:49.098665Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.077279Z","title":"Second International Workshop on Learning with Imbalanced Domains: Theory and Applications , pages=","venue":null,"work_id":"5a139358-443d-4e40-ba06-57b9a4b31d3c","year":2018},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.618285Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:85e278f98425d42d9e183f67630fcd37544b25eda199e01b0e50fcec1efc092a","observation_id":"2659caf3-21af-4dcb-95ec-68d53e6d6438","resolution":{"observed_at":"2026-08-08T15:03:49.082306Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.062354Z","title":"Diagnostics , volume=","venue":null,"work_id":"2bf3e40d-1b72-47a2-8ede-85d5c4f32073","year":2021},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.622197Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:629ec3dd1956136716884817f0766e6f1750a444eaf5efcea3fab464eb131d40","observation_id":"cdf696a7-1854-4799-ae6f-f820e275391d","resolution":{"observed_at":"2026-08-08T15:03:49.067054Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.046543Z","title":"International conference on machine learning , pages=","venue":null,"work_id":"daa55490-dd39-4757-a766-8148216d7575","year":2015},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.626299Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:f5f1b0a2b8ca0eac4cb2327588d648f685bb332d1773dc71d693c69ba6ff64af","observation_id":"7fb9f829-ecbb-465a-853a-707a645292da","resolution":{"observed_at":"2026-08-08T15:03:49.051476Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.031442Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":"97add18b-8895-41ed-9c17-d94b64f9f61b","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.630705Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:e1a735612ebef9f044f9264023efa876db47d55a5bc2aa829dc894103c2b09cf","observation_id":"f409eb6f-bd93-407a-a4b1-7977d86efc2a","resolution":{"observed_at":"2026-08-08T15:03:49.036447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:49.016354Z","title":"Machine learning , volume=","venue":null,"work_id":"2a923137-947c-4fce-8104-65d163a5373c","year":2020},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.635516Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:5c30ab33ccd152599673ab029906513242aa361c9c023ec9a8411ccfe37b5047","observation_id":"22022ed6-80f0-4579-a29b-292a9f14724a","resolution":{"observed_at":"2026-08-08T15:03:49.021045Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.05201","last_updated":"2026-04-06T19:50:20Z","snapshot_observed_at":"2026-08-07T23:53:34.814339Z","submitted_at":"2025-07-07T17:01:44Z","title":"MedGemma Technical Report","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2507.05201","snapshot_observed_at":"2026-08-08T15:03:47.640451Z","title":"arXiv preprint arXiv:2507.05201 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.640451Z"},"links":{"cited_paper":"/paper/2507.05201","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:3d4ee9acf37df860eb4fd937a5d0492993e72fea39a937fffd778b9e49525bee","observation_id":"ab6e7ad2-4ee1-419c-8d98-4e0576998e4a","resolution":{"observed_at":"2026-08-08T15:03:47.640451Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.07880","last_updated":"2025-04-18T08:05:53Z","snapshot_observed_at":"2026-07-06T18:44:24.873040Z","submitted_at":"2024-07-10T17:48:25Z","title":"Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.07880","snapshot_observed_at":"2026-08-08T15:03:47.645464Z","title":"arXiv preprint arXiv:2407.07880 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.645464Z"},"links":{"cited_paper":"/paper/2407.07880","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:54454e7773462c47bfaa6402f99746380d0e5f7f54149a69c55423032052e88f","observation_id":"143a8967-2f97-426b-821a-204d2576d6fe","resolution":{"observed_at":"2026-08-08T15:03:47.645464Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.650449Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.650449Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:b43fe3748cbaff46cf280c232d9062e8d1a2472748e22ee22f4fb6a3edb72acf","observation_id":"3d38f740-6e47-44d1-9c31-bf699bb76e0f","resolution":{"observed_at":"2026-08-08T15:03:47.650449Z","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":"2026-08-08T15:03:48.986365Z","title":"International Conference on Medical Image Computing and Computer-Assisted Intervention , pages=","venue":null,"work_id":"eabc8540-3c14-42ce-8d7f-fe84ba96cfd9","year":2022},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.655236Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:1bf9186a7b4758d83b3b4ea6cbc94a0eada4b321f18f2a4e43511645fb605924","observation_id":"d6469f0b-8a3a-40e4-a9a7-552ac39cdf14","resolution":{"observed_at":"2026-08-08T15:03:48.991391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:48.970971Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":"4381012b-34e9-4d89-a172-dbb41e382407","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.660870Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:940f156252928d851e879c42a72e5bd76410c18a45fd99e0cce780bd5902ebd2","observation_id":"d14b661e-485c-41e6-aa0f-2f393623d902","resolution":{"observed_at":"2026-08-08T15:03:48.976186Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.665691Z","title":"arXiv preprint arXiv:2510.01458 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.665691Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:11606dc2577597f632f5fd1b51a307576065656ca64a99b1c6174633d69862c8","observation_id":"a3aef7dc-68f5-4930-ab89-d4a79b1f77de","resolution":{"observed_at":"2026-08-08T15:03:47.665691Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.670559Z","title":"arXiv preprint arXiv:2510.23968 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.670559Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:893e8b838496e36b0f304f220c0072408a0d481da5f4bb9e839dee00d7f14f14","observation_id":"5b452498-b55a-47b8-88d5-d192c96ad8db","resolution":{"observed_at":"2026-08-08T15:03:47.670559Z","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":"2026-08-08T15:03:48.955888Z","title":"Proceedings of the 33rd ACM International Conference on Multimedia , pages=","venue":null,"work_id":"43956fee-2082-47d3-81da-c26c66eb147c","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.676394Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:cc843376f0abbd710fde588c0d72232fe5dfdafd5a7316f024d5b1c51caa664f","observation_id":"d95833a2-b822-4740-8a6e-dba150937811","resolution":{"observed_at":"2026-08-08T15:03:48.960502Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:48.941157Z","title":null,"venue":null,"work_id":"31cee258-6271-4a04-b010-86fce840a6ec","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.680798Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:328ba916efe2a9bab7cb28d40defa417993481c80f4040cd60d15edc1dd1de7a","observation_id":"cd4f89f4-b411-4309-9a5c-0286deafd06e","resolution":{"observed_at":"2026-08-08T15:03:48.945851Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-08T15:03:48.926018Z","title":"Nature Communications , volume=","venue":null,"work_id":"9f6af4c8-a971-4a71-ad9e-e9f9f71afbba","year":2025},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.685210Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:a1022b13a976793390ef41352d46b22732f60e644e835aa543abbc582353ec65","observation_id":"7cddacf3-e5c6-4781-b07a-f3f987be15df","resolution":{"observed_at":"2026-08-08T15:03:48.930537Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.689912Z","title":", author=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.689912Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:56ea03177abf0d49e215bb63d307857c5bedba4098c26988bc26591664946dcc","observation_id":"916ade55-4fae-455a-a9a7-04c8b99437e6","resolution":{"observed_at":"2026-08-08T15:03:47.689912Z","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":"2026-08-08T15:03:48.902074Z","title":"Proceedings of Machine Learning Research , volume=","venue":null,"work_id":"0e3ffa59-b0b3-4c0b-b515-777b02f15db4","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.694833Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:2baf85139d70d84a4ae579609d4107cf435ee64360a35da6bd6d2eaf55ac72f7","observation_id":"6eac6f60-32e5-4152-b5d1-179d20e7a751","resolution":{"observed_at":"2026-08-08T15:03:48.906836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.699354Z","title":"Patterns , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.699354Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:5b80a85573b473e20e87b6fe34b9944a669e1f6c0fa711ff2c557bef715fcc18","observation_id":"17fdec2c-d4ec-41f7-957c-bc3f68ccb0dd","resolution":{"observed_at":"2026-08-08T15:03:47.699354Z","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":"2026-08-08T15:03:48.877445Z","title":"Nature Medicine , volume=","venue":null,"work_id":"12d05383-3431-43fe-bb7b-d4e50e42b801","year":2025},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.704167Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:0a0e7b34e123efeb394054d61278428d90d743eab58b6274dc799b1f2e4f74d9","observation_id":"7448b36c-2a1b-4183-ad42-9d10db210b8d","resolution":{"observed_at":"2026-08-08T15:03:48.881834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.07042","last_updated":"2019-11-14T17:34:51Z","snapshot_observed_at":"2026-08-02T04:11:08.699777Z","submitted_at":"2019-01-21T19:01:00Z","title":"MIMIC-CXR-JPG, a large publicly available database of labeled chest radiographs","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.07042","snapshot_observed_at":"2026-08-08T15:03:47.709158Z","title":"arXiv preprint arXiv:1901.07042 , year=","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.709158Z"},"links":{"cited_paper":"/paper/1901.07042","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:2a292ad48a3341d0761fff37037dcd02a5c14b0e3df6c902fb118507d1bad6ae","observation_id":"8e60a16f-eb9e-4384-be3d-065aebc29e27","resolution":{"observed_at":"2026-08-08T15:03:47.709158Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.713535Z","title":"Proceedings of the AAAI conference on artificial intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.713535Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:174081d387b9684e0e08a613989b7abf6b4f5652101aeb84cd33958c5a90f7b7","observation_id":"861579a2-8937-416f-9dd8-45ec4ac8bafc","resolution":{"observed_at":"2026-08-08T15:03:47.713535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19538","last_updated":"2024-06-03T19:14:12Z","snapshot_observed_at":"2026-08-04T20:54:55.500114Z","submitted_at":"2024-05-29T21:48:56Z","title":"CheXpert Plus: Augmenting a Large Chest X-ray Dataset with Text Radiology Reports, Patient Demographics and Additional Image Formats","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19538","snapshot_observed_at":"2026-08-08T15:03:47.717446Z","title":"arXiv preprint arXiv:2405.19538 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.717446Z"},"links":{"cited_paper":"/paper/2405.19538","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:ddccd34b2361759fff9d6dd0aa1dbbf087cb7066a6f3c2f2dff9dce7cfc88979","observation_id":"6e5dae7f-b9b8-4d42-98ea-0fcc81d9f920","resolution":{"observed_at":"2026-08-08T15:03:47.717446Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.721559Z","title":"Proceedings of the 40th annual meeting of the Association for Computational Linguistics , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.721559Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:d93999e2818b688e525111be4d7b13d45d0d1c10cf05b224b901e8ada89c6c81","observation_id":"d0cf1db8-f0f9-4aee-94bf-566788c60229","resolution":{"observed_at":"2026-08-08T15:03:47.721559Z","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":"2026-08-08T15:03:48.844245Z","title":"Proceedings of the third conference on machine translation: Research papers , pages=","venue":null,"work_id":"2182f712-26a2-4b33-a32a-50eeca631489","year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.725391Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:327aba8b31a8c73042d4d47aaa70d4c4e285dcd6103ab3907ec6456efa5d26d7","observation_id":"72ef0573-8fb9-4dda-8ebd-d048e5a14571","resolution":{"observed_at":"2026-08-08T15:03:48.848689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.729308Z","title":"Text summarization branches out , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.729308Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:b9bf9320fb1b0515b832b5466d3a3887acfcd8d5f7cb61412109bbe1ba3e43ab","observation_id":"39a0166b-ca9e-4fed-a37b-8304caf13c71","resolution":{"observed_at":"2026-08-08T15:03:47.729308Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.14463","last_updated":"2021-08-29T23:19:33Z","snapshot_observed_at":"2026-08-06T14:25:25.439918Z","submitted_at":"2021-06-28T08:24:23Z","title":"RadGraph: Extracting Clinical Entities and Relations from Radiology Reports","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.14463","snapshot_observed_at":"2026-08-08T15:03:47.734089Z","title":"arXiv preprint arXiv:2106.14463 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.734089Z"},"links":{"cited_paper":"/paper/2106.14463","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:8c2ac2c32bbad85d6d669a035e1ba70d8be3c1228fd6b66ea963e6ed205dec3c","observation_id":"8cb1ee92-bc14-4efc-9dbc-4ebb880ff000","resolution":{"observed_at":"2026-08-08T15:03:47.734089Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1904.09675","last_updated":"2020-02-24T18:59:28Z","snapshot_observed_at":"2026-07-29T15:42:51.774083Z","submitted_at":"2019-04-21T23:08:53Z","title":"BERTScore: Evaluating Text Generation with BERT","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1904.09675","snapshot_observed_at":"2026-08-08T15:03:47.739061Z","title":"arXiv preprint arXiv:1904.09675 , year=","venue":null,"work_id":null,"year":1904},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.739061Z"},"links":{"cited_paper":"/paper/1904.09675","citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:83c1dccaa17210bb3522b53f21139fbb1de0a054b05c4318a1e0d91f6f1736b4","observation_id":"2b09a0a9-929c-4c24-a5f4-4ff276ed4513","resolution":{"observed_at":"2026-08-08T15:03:47.739061Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.744446Z","title":"arXiv preprint arXiv:2512.16145 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.744446Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:72ff673f36a3979db1713416f8fd9b1077c294137073b49e3c3ec9f68c4eb6ec","observation_id":"d569d100-e1c3-4857-9a63-0f6f5d18b014","resolution":{"observed_at":"2026-08-08T15:03:47.744446Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.748849Z","title":"the method of paired comparisons , author=","venue":null,"work_id":null,"year":1952},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.748849Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:b644b501a7ae3c888eddd09f7d50e83a885e33309b7332c9ffac4889032a483e","observation_id":"0a77cebf-728d-4293-9455-764cbe120fbd","resolution":{"observed_at":"2026-08-08T15:03:47.748849Z","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":"2026-08-08T15:03:48.808568Z","title":"JMIR Formative Research , volume=","venue":null,"work_id":"8b622d84-acdc-4d0b-acbf-c495fbe8785d","year":2024},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.753299Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:87f8627351a30781a639a35af4aeed87123691ca821d42ab8a7a4b6d47ac8828","observation_id":"9434a52d-fd62-4b05-b555-c7d47483f774","resolution":{"observed_at":"2026-08-08T15:03:48.813233Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T15:03:47.758116Z","title":"arXiv preprint arXiv:2512.16201 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-08T15:03:47.758116Z"},"links":{"citing_paper":"/paper/2608.05341"},"observation_digest":"sha256:31cfb219176443491f2ffd0b573a647e289cad60a3f94f19c9657ef1be8feaf2","observation_id":"7838a613-05bd-4150-a9d6-ba943e56bd46","resolution":{"observed_at":"2026-08-08T15:03:47.758116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.05341","last_updated":"2026-08-05T18:59:23Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T19:11:06.496583Z","submitted_at":"2026-08-05T18:59:23Z","title":"Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation"},"reference_resolution":{"displayed":60,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":30,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":60},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 0 inbound Pith citation observations for arXiv:2608.05341."}