{"as_of":"2026-08-10T13:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83e04c4ba9d86324880f2da97c8f3b0b9e72078486825944cc481974fd3c1de2","coverage":[{"denominator":201,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T04:59:12.643690Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2608.07418/citation-record","integrity":"/paper/2608.07418/integrity","json":"/paper/2608.07418/citation-record.json","paper":"/paper/2608.07418"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T04:59:12.297973Z","title":"2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , pages=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.297973Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:d3516d07ea9bd85ccff612e225cf8c17215b070143313a7b8d44b5a71055253e","observation_id":"d06edc87-7812-4e96-a458-03daaf073c12","resolution":{"observed_at":"2026-08-10T04:59:12.297973Z","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":"2026-08-10T04:59:12.302911Z","title":"2018 IEEE International Conference on Robotics and Automation (ICRA) , pages=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.302911Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:94601f2f073452d42ff873dd8d907a846a64e865d4609178c75bb7874c9fb47b","observation_id":"83b6d2bb-71b3-450d-9090-ff45f04c68b1","resolution":{"observed_at":"2026-08-10T04:59:12.302911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.13303","last_updated":"2021-07-08T09:00:05Z","snapshot_observed_at":"2026-07-06T09:59:23.065400Z","submitted_at":"2020-09-24T21:05:46Z","title":"Sim-to-Real Transfer in Deep Reinforcement Learning for Robotics: a Survey","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.13303","snapshot_observed_at":"2026-08-10T04:59:12.306957Z","title":"arXiv preprint arXiv:2009.13303 , year=","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.306957Z"},"links":{"cited_paper":"/paper/2009.13303","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:51cbf1a9506a7e7e04e9efe160353d485d663148ed8448c3f6fd3147566dc4f9","observation_id":"7fef4e36-f209-47a4-b322-cd26cb020e99","resolution":{"observed_at":"2026-08-10T04:59:12.306957Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.07113","last_updated":"2019-10-16T00:59:05Z","snapshot_observed_at":"2026-08-02T15:37:37.200292Z","submitted_at":"2019-10-16T00:59:05Z","title":"Solving Rubik's Cube with a Robot Hand","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.07113","snapshot_observed_at":"2026-08-10T04:59:12.311315Z","title":"arXiv preprint arXiv:1910.07113 , year=","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.311315Z"},"links":{"cited_paper":"/paper/1910.07113","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:5710b9cec6e234f777ca5fc1aa8535c96f6a7dc5d755af2e91310046ce54be26","observation_id":"b52a3c41-f0d6-421c-8748-681dead6004d","resolution":{"observed_at":"2026-08-10T04:59:12.311315Z","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":"2026-08-10T04:59:12.316454Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.316454Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:64972a34afe9cb3d0ff4641627613340048f25f358af8f267cd71c0b89ea5ccc","observation_id":"dc36f142-f4ec-4c88-ba40-e696e9e00849","resolution":{"observed_at":"2026-08-10T04:59:12.316454Z","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":"2026-08-10T04:59:12.320179Z","title":"and Veness, Joel and Bellemare, Marc G","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.320179Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:afba797536722335603b11f9b2aae84c97cff1a3add6d5ba48b23c6cf82a104e","observation_id":"dbb58fed-5b20-4d0f-b250-096c4958cf43","resolution":{"observed_at":"2026-08-10T04:59:12.320179Z","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":"2026-08-10T04:59:12.323964Z","title":"Learning Navigation Behaviors End-to-End With AutoRL , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.323964Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:3cb5d27cf317a556f8421f16eebe2f3a5d6b4fa5bbb30ceb4f9bcf7a190f2d76","observation_id":"4859f978-86ee-4714-901e-2895db31c507","resolution":{"observed_at":"2026-08-10T04:59:12.323964Z","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":"2026-08-10T04:59:12.327430Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.327430Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:419a977f1ae6b926e9bc7f229085df504509ce6d69eca587fae2b355dda3e912","observation_id":"d19e2085-5e29-4d37-8583-1fcc10fd1e8c","resolution":{"observed_at":"2026-08-10T04:59:12.327430Z","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":"2026-08-10T04:59:12.331339Z","title":"Environment Generation for Zero-Shot Compositional Reinforcement Learning , url =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.331339Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:ffca953d711c6a053bc37a9225501434f9f48429c64588fbf8bf9f7e80cacaa9","observation_id":"7d7e7605-5ba8-4df8-a379-19f3c9f53461","resolution":{"observed_at":"2026-08-10T04:59:12.331339Z","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":"2026-08-10T04:59:12.334748Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.334748Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:421a0138a3d9698d7cb36d474aee3fa267670f20c51a8f1314158d26d8a1428f","observation_id":"7fb51183-9c15-476b-9071-84107ae48cc7","resolution":{"observed_at":"2026-08-10T04:59:12.334748Z","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":"2026-08-10T04:59:12.338136Z","title":"Advancing conversational diagnostic AI with multimodal reasoning","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.338136Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:c7543a990284b3f7456e823d6151b6f63505d11b7b378259c29c3c037df699c5","observation_id":"5f05f2ad-b78e-4d27-ae5f-ba1a800593f0","resolution":{"observed_at":"2026-08-10T04:59:12.338136Z","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":"2026-08-10T04:59:12.341673Z","title":"Towards physician-centered oversight of conversational diagnostic","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.341673Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:4d63a0020b5b5dbfc39c28105b56f56b66a21e4e76051f9ea8b722863d2887c2","observation_id":"2eff7906-a223-4c34-80a2-4eda160e575b","resolution":{"observed_at":"2026-08-10T04:59:12.341673Z","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":"2026-08-10T04:59:12.345330Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.345330Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:cdc057fec3dbad14c9e31f8e4398cbfc5a86b6138665b3dbf58c1a2568bc27f6","observation_id":"049717c5-cbc2-43d4-a989-f8e8e2d9d6fa","resolution":{"observed_at":"2026-08-10T04:59:12.345330Z","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":"2026-08-10T04:59:12.349198Z","title":"2025 , publisher=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.349198Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:e2512395a2b86ee4c8e7729f12285342c56e651e738b4af778b4bdc61a6f2246","observation_id":"4e0c0fd5-ba2e-4db9-8578-37c3bf062027","resolution":{"observed_at":"2026-08-10T04:59:12.349198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2509.02547","last_updated":"2026-04-17T18:09:08Z","snapshot_observed_at":"2026-08-03T09:07:42.489237Z","submitted_at":"2025-09-02T17:46:26Z","title":"The Landscape of Agentic Reinforcement Learning for LLMs: A Survey","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2509.02547","snapshot_observed_at":"2026-08-10T04:59:12.352771Z","title":"The landscape of agentic reinforcement learning for LLMs : A survey","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.352771Z"},"links":{"cited_paper":"/paper/2509.02547","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:a4a4c92caffde3e7ded47f6c9d05341f9f6b8186ffad718e47ca8d6529891d24","observation_id":"9af158d6-d2ea-4e26-aa3b-48aa07f88241","resolution":{"observed_at":"2026-08-10T04:59:12.352771Z","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":"10.1038/s41586-026-10764-5","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Towards conversational AI for disease management","venue":"Nature","work_id":"06be0f5f-a720-44f3-b7d3-e5d1a02b9372","year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.356820Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:49831995f20a1c7d5fabebcb84a7e34b0efd58bbb81a6631687ec08de107ea44","observation_id":"d283be22-59ba-480a-bdef-763e2d39ee26","resolution":{"observed_at":"2026-08-10T04:59:13.153635Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-10T04:59:12.360282Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.360282Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:7ad07ee8983ab8e49692effd30da6b95f8f390ce2f7e37f4a1ce93715d33f157","observation_id":"33e0fb3a-f338-4586-9dad-4b4fe5a64464","resolution":{"observed_at":"2026-08-10T04:59:12.360282Z","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":"2026-08-10T04:59:12.363612Z","title":"Nature Medicine , volume=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.363612Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:979d6406fbc60b20b6a5c87e7455dd094b313504004d3e909381b0446e41015d","observation_id":"2829ecda-66ce-401c-aa8b-a83b030acc06","resolution":{"observed_at":"2026-08-10T04:59:12.363612Z","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":"2026-08-10T04:59:12.367199Z","title":"A prospective clinical feasibility study of a conversational diagnostic","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.367199Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:a9c3baa8ae31993941fc3676e1f745193f17f7c5e5b2286221340222583a094d","observation_id":"974e02d3-4317-4dbd-aa9e-0ef1d03b97c4","resolution":{"observed_at":"2026-08-10T04:59:12.367199Z","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":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T04:59:13.796948Z","title":"Can large language models reason about medical questions?","venue":null,"work_id":"73ac32aa-0c65-46a4-a37d-54f394c46b61","year":2024},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.370585Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:0fad65b081305fd4acde6e7b165ec19da2258f8e6b8042102ca3d52e950a6596","observation_id":"43c6ce80-f749-426e-8d6e-fb32f4aec351","resolution":{"observed_at":"2026-08-10T04:59:13.800838Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-10T04:59:12.374006Z","title":"Nature Medicine , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.374006Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:585b5d1f76e9b7a7f44056aa0711f13ddba6c9f9df8b348fc0aefb306e709de2","observation_id":"6146e0ff-3350-4fe6-b607-e6251b07507f","resolution":{"observed_at":"2026-08-10T04:59:12.374006Z","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":"2026-08-10T04:59:12.377620Z","title":"Capabilities of","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.377620Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:e40aafbf95f6bb6a701ffbbb6ccaa039c41bf2d8936044cc1f70f5ba04d777d0","observation_id":"70c43cb3-3695-4621-806a-517e9480fbe2","resolution":{"observed_at":"2026-08-10T04:59:12.377620Z","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":"2026-08-10T04:59:12.381129Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.381129Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:3926d27791c9af7daa49edfe5f25803883596a9b58ea02c7244fa08ed5779a0a","observation_id":"6da05644-c51a-42e4-953d-1ed2ff4f05df","resolution":{"observed_at":"2026-08-10T04:59:12.381129Z","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":"2026-08-10T04:59:12.384376Z","title":"Evaluation of","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.384376Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:236bc34ad88c3fc19e2f9bc3d7e88f661f53f40280cc7bfa63b05b94c266c5fa","observation_id":"003cb7e6-56fc-4fa0-b450-7b8cfbe4a0dd","resolution":{"observed_at":"2026-08-10T04:59:12.384376Z","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":"2026-08-10T04:59:12.387487Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.387487Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:91c22b22475c87972af410a0e1fcac9f65a1465c2f2c7a32d64d03bef4dca54f","observation_id":"09a05256-af46-4c50-b694-ffa203ae2cf7","resolution":{"observed_at":"2026-08-10T04:59:12.387487Z","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":"2026-08-10T04:59:12.390726Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.390726Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:059434815eda3ceecd39307738751bfdde429fba3e9bb66d1c26d130e8c2affc","observation_id":"a3ac4bea-878c-4081-a24c-5cb5b1412f52","resolution":{"observed_at":"2026-08-10T04:59:12.390726Z","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":"2026-08-10T04:59:12.394046Z","title":"Capabilities of","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.394046Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:27216658832fb5a5640df3c45b199841cc0b038296a719ddd4afa93acc117534","observation_id":"1e44d939-a4ef-42ef-b05d-02a8c7efbbeb","resolution":{"observed_at":"2026-08-10T04:59:12.394046Z","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":"2026-08-10T04:59:12.397494Z","title":"Mastering the Game of","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.397494Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:2ebfdb96e1db6a187684917413c50755fe08f9241a0872095cd8954ca7bd6410","observation_id":"bf7ffc82-5862-49ef-a6f8-a4dbbc07fea4","resolution":{"observed_at":"2026-08-10T04:59:12.397494Z","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":"2026-08-10T04:59:12.401024Z","title":"Mastering the Game of","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.401024Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:270c0fbba0bb5284b1ca618534904f9c8fa48d19e96348b7ad5b6a34e842cf45","observation_id":"07b802a0-150c-4630-b5d6-54b1d8756323","resolution":{"observed_at":"2026-08-10T04:59:12.401024Z","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":"2026-08-10T04:59:12.404358Z","title":"Mastering","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.404358Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:10859d6e86dee4133cb50c9dd1cb959f9d20667d56e886fc5ed6d62d8e760404","observation_id":"1786e757-b496-4ee1-ab88-b0ce340a2873","resolution":{"observed_at":"2026-08-10T04:59:12.404358Z","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":"2026-08-10T04:59:12.407604Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.407604Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:1d928086ff0e8c869e57107bb62287144aaf9c8b22e66c3c2815b08a98cfbca2","observation_id":"ba84167d-4002-49ef-af47-7f0bf9a6f372","resolution":{"observed_at":"2026-08-10T04:59:12.407604Z","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":"2026-08-10T04:59:12.410795Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.410795Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:5f21c6fc9a7c523f40e618da1d0e8a4cb45ab995a72a66b17b311a3752472b24","observation_id":"c03a25c1-8658-4a6f-a7cb-947263121675","resolution":{"observed_at":"2026-08-10T04:59:12.410795Z","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":"2026-08-10T04:59:12.413945Z","title":"Grandmaster level in","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.413945Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:15c50444d0482f39f680ec89abd58eaff3fde71f620d63477067f1ae0e4781d2","observation_id":"08778d35-8a17-4cf3-ab22-b2c76475100e","resolution":{"observed_at":"2026-08-10T04:59:12.413945Z","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":"2026-08-10T04:59:12.417258Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.417258Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:7354d0ec96b40bc763fd095d985d0c1f87e48df1edc772fef8706241baaec336","observation_id":"222f6e03-d00b-41a8-9a3e-a05fad266017","resolution":{"observed_at":"2026-08-10T04:59:12.417258Z","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":"2026-08-10T04:59:12.420347Z","title":"Proceedings of the 33rd Conference on Uncertainty in Artificial Intelligence , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.420347Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:ab06e4321a7af33b5a72de56fa5191355f07096492db8f08247f925b70b2b54d","observation_id":"2e015b16-a841-45d0-a0ca-f116be45c1fc","resolution":{"observed_at":"2026-08-10T04:59:12.420347Z","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":"2026-08-10T04:59:12.423613Z","title":"38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society , pages=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.423613Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:2fb72e51aa3d9e416c7dd3f41b1c2a9c9ac66c51d88b253dca29ea4233efe87e","observation_id":"9ef0591e-260b-4896-be02-6da39aac8bd7","resolution":{"observed_at":"2026-08-10T04:59:12.423613Z","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":"2026-08-10T04:59:12.426993Z","title":"Proceedings of the 2nd Machine Learning for Healthcare Conference , series=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.426993Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:a3faf6b3a30d8d9b07f775b9864c5188aec914d4e359ec138615d18be020efe0","observation_id":"18eaf3f9-69db-4eaf-8edf-4c027669d66d","resolution":{"observed_at":"2026-08-10T04:59:12.426993Z","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":"2026-08-10T04:59:12.430282Z","title":"Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.430282Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:7c9a2743dd35725f0dd34e5220d97918b29be12377b7f32513d03bf69972e84d","observation_id":"eab3fec0-313e-4cbb-a823-5934de5cd20a","resolution":{"observed_at":"2026-08-10T04:59:12.430282Z","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":"2026-08-10T04:59:12.433668Z","title":"Proceedings of the Second Seattle Symposium in Biostatistics , series=","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.433668Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:c2f4d83ce62b3fd55de2d11766009dda9499cd9463c95dc43777433b9cc5fa1f","observation_id":"0b3908df-7382-412d-ac20-61c5d467601c","resolution":{"observed_at":"2026-08-10T04:59:12.433668Z","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":"2026-08-10T04:59:12.437002Z","title":"Annual Review of Statistics and Its Application , volume=","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.437002Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:95cec4c5a6dc2e14268c93cc112ac47c092098a2154b3490109de65ac8af3492","observation_id":"c1ed9ebc-f41e-48e6-ac26-cd6a6ee6a404","resolution":{"observed_at":"2026-08-10T04:59:12.437002Z","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":"2026-08-10T04:59:12.440240Z","title":"Machine Learning , volume=","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.440240Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:8b7a5995a63d1301c50f31dc66e4c0f5012e902dcbdad310a65f4ebd19b6e959","observation_id":"477ad044-dcd8-4744-8556-e556af9a2ad4","resolution":{"observed_at":"2026-08-10T04:59:12.440240Z","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":"2026-08-10T04:59:12.443606Z","title":"Clinical Data Based Optimal","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.443606Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:1e1f8bbd626f32b948bb5b9410e83d056e2f12fcfa222bf9b3cd52f8a9f9f6d2","observation_id":"e0899d04-e251-44ae-ac7f-0ef996c3d0f6","resolution":{"observed_at":"2026-08-10T04:59:12.443606Z","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":"2026-08-10T04:59:12.446972Z","title":"Medical Physics , volume=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.446972Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:76ac6ae784875c120243847b818aa236e5f3ecb580cad104dad959198ddd723d","observation_id":"1d8fa930-cc04-4aa2-ae00-f3e861f4d3ac","resolution":{"observed_at":"2026-08-10T04:59:12.446972Z","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":"2026-08-10T04:59:12.450290Z","title":"Machine Learning for Healthcare Conference , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.450290Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:deeea91bf9e376d2fc1a88e172de778b59b46c23da4cd59a7bddae8c8d4f5c13","observation_id":"fd911198-de81-4ec6-99eb-3e30d9559ebf","resolution":{"observed_at":"2026-08-10T04:59:12.450290Z","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":"2026-08-10T04:59:12.453833Z","title":"IEEE Journal of Biomedical and Health Informatics , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.453833Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:14f48bba533f319e3a52a13eee9d1f68bcc2cb73bd34466cd905af2ad82b5471","observation_id":"aa3ad4dc-06e0-4eef-9600-ff722fcc5a4c","resolution":{"observed_at":"2026-08-10T04:59:12.453833Z","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":"2026-08-10T04:59:12.457166Z","title":"Journal of Medical Internet Research , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.457166Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:d873fe1a0d2797f5f3d89e0f8d7b239967fdfcd442aec2208b996f77591f3d01","observation_id":"b87ffdb0-8ad0-4c3e-8a9a-a5725e0d542d","resolution":{"observed_at":"2026-08-10T04:59:12.457166Z","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":"2026-08-10T04:59:12.460219Z","title":"Artificial Intelligence in Medicine , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.460219Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:9bde1379565d5a2d9d0e53f57975835410aa2195f990529685e4ec0bf9cbc030","observation_id":"b2c4cb0f-7b15-48ed-a5ed-03b974c05829","resolution":{"observed_at":"2026-08-10T04:59:12.460219Z","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":"2026-08-10T04:59:12.463551Z","title":"Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing , year=","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.463551Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:5d286c50f09f1eeeaf04b7525438337e8af6495b6a316f236e914be23419a80c","observation_id":"d9652e46-336c-471c-bb23-8abfc1779f40","resolution":{"observed_at":"2026-08-10T04:59:12.463551Z","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":"2026-08-10T04:59:12.466695Z","title":"Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing , year=","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.466695Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:c48d2855376e75fd0e0a35efd59c4a54d16d4c77cefd5c21fd5b0e674c53dc2d","observation_id":"6ae3e9d6-3bbf-4d3b-be34-698ce712c5ae","resolution":{"observed_at":"2026-08-10T04:59:12.466695Z","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":"2026-08-10T04:59:12.470071Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.470071Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:05469d95535b9a73d4feeb8a78f06bffc344de379530328c32633e4817ff37c5","observation_id":"6a5b51ab-eacb-47c9-89ed-7d046effcb3c","resolution":{"observed_at":"2026-08-10T04:59:12.470071Z","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":"2026-08-10T04:59:12.473255Z","title":"Academic Medicine , volume=","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.473255Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:df793881f580a7340b00fbb51f9df0dbd641eb49358a8bc275ebf2a055146c3d","observation_id":"c501ea25-6f7a-46e9-87ae-424991cf94ae","resolution":{"observed_at":"2026-08-10T04:59:12.473255Z","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":"2026-08-10T04:59:12.476519Z","title":"Personality and Individual Differences , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.476519Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:7ac2796fa8447e49e435181b24192c36dce6213682c2dd6a474ff383fdb77bf8","observation_id":"4dde0f9b-ae39-420b-a114-1b6cc883f91a","resolution":{"observed_at":"2026-08-10T04:59:12.476519Z","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":"2026-08-10T04:59:12.480095Z","title":"Journal of documentation , volume=","venue":null,"work_id":null,"year":1972},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.480095Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:cd6e39818459ad390fa95473b540b02bf64edb14d735e27c42b36b6cf5697183","observation_id":"aeba4dfb-81f2-446e-a05b-e7ebfc39909f","resolution":{"observed_at":"2026-08-10T04:59:12.480095Z","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":"2026-08-10T04:59:12.483689Z","title":"Journal of personality , volume=","venue":null,"work_id":null,"year":1987},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.483689Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:77c8617fb1450fc418d2d5fe3fe99ddaec086d9060bce84da6fb40e10b1f283f","observation_id":"69aed678-a206-4fb6-b994-df499cd5861f","resolution":{"observed_at":"2026-08-10T04:59:12.483689Z","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":"2026-08-10T04:59:12.487467Z","title":"Scientific data , volume=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.487467Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:eafe462b978ce63ff711e8ece432adcc172b86de32ae879a5d4134eb3f1aa620","observation_id":"7825c946-14fa-41f7-99fc-a434e3bb03f4","resolution":{"observed_at":"2026-08-10T04:59:12.487467Z","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":"2026-08-10T04:59:12.490800Z","title":"Intelligent Virtual Agents: 7th International Conference, IVA 2007, Paris, France, September 17-19, 2007","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.490800Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:9cb6b9903b54a166f25bf1aefd8182f519afc63dc78a1ce03506cc2177ea9ec7","observation_id":"28e6e0fd-30c6-4aaf-972c-7566c623309f","resolution":{"observed_at":"2026-08-10T04:59:12.490800Z","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":"2026-08-10T04:59:12.494180Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.494180Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:ab50726624c95e06153dad36dc504c6928601d56cdf881587cb2816245af884a","observation_id":"d0c3bc76-b160-4833-ba1c-035d917c8d38","resolution":{"observed_at":"2026-08-10T04:59:12.494180Z","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":"2026-08-10T04:59:12.497468Z","title":"Nejm Ai , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.497468Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:f7e6a828265534fee930560d522a35c64cd85d2d1075ef021b7c4a3f4c690d92","observation_id":"f99e957a-2574-4868-a54c-34252bd8a761","resolution":{"observed_at":"2026-08-10T04:59:12.497468Z","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":"2026-08-10T04:59:12.500873Z","title":"Proceedings of Machine Learning Research (ML4H) , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.500873Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:5e820f4e63d4c106ec8701af1628725ce939d64fee332037f2472fad4a6011e9","observation_id":"38c74c3f-91cc-46e9-8ca5-c9f54ca16210","resolution":{"observed_at":"2026-08-10T04:59:12.500873Z","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":"2026-08-10T04:59:12.504351Z","title":"2024 , publisher=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.504351Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:3c036d2870cfcad521c0b84315e12886ae915789afea680d7cf8406f67d41b63","observation_id":"6a236272-0442-443c-b66e-84ecee156b8a","resolution":{"observed_at":"2026-08-10T04:59:12.504351Z","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":"2026-08-10T04:59:12.508026Z","title":"npj Digital Medicine , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.508026Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:aa8196d4b56ecc45b7482402911333e2c4031c9081f52ed045aabfce20bd4214","observation_id":"dcb96ea8-7c1c-4e26-bd0f-8fbdf6ff26e0","resolution":{"observed_at":"2026-08-10T04:59:12.508026Z","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":"2026-08-10T04:59:12.511297Z","title":"JAMA , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.511297Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:c88243ad7a07d704cd0ae7efc553a3adb94fef8d1eab8788be54db8144d5b6df","observation_id":"49856618-ac57-4c19-a562-0d869b1ef995","resolution":{"observed_at":"2026-08-10T04:59:12.511297Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.00467","last_updated":"2025-07-11T14:39:47Z","snapshot_observed_at":"2026-08-07T15:57:23.653864Z","submitted_at":"2025-05-01T11:43:27Z","title":"Red Teaming Large Language Models for Healthcare","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.00467","snapshot_observed_at":"2026-08-10T04:59:12.514801Z","title":"arXiv preprint arXiv:2505.00467 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.514801Z"},"links":{"cited_paper":"/paper/2505.00467","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:5acb9707b1916ebd695482a4d52c1a759471141496dcaa56db7d0a23de9f75b6","observation_id":"338e9a1a-d914-49f0-a860-6952871d49ee","resolution":{"observed_at":"2026-08-10T04:59:12.514801Z","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":"2026-08-10T04:59:12.518555Z","title":"JAMA Network Open , volume=","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.518555Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:7aaa9c0b6c718a19f3394f8d91ab5be8b4e6243663a4a45c0d4e3e3552c21559","observation_id":"03fdebea-f174-4d6c-aa93-8b15c52c6778","resolution":{"observed_at":"2026-08-10T04:59:12.518555Z","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":"2026-08-10T04:59:12.521810Z","title":"Scandinavian Journal of Trauma, Resuscitation and Emergency Medicine , volume=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.521810Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:5773fad0b8d1289b2f3b4059c741857797144fef9d44ea6196f7c4e81c3360e3","observation_id":"19a97d10-5381-4c25-9bf2-a313b2080207","resolution":{"observed_at":"2026-08-10T04:59:12.521810Z","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":"2026-08-10T04:59:12.525160Z","title":"International Conference on Machine Learning , pages=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.525160Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:32a5f4d22b41c4bacfa211e16ed803eb442176fe79ab3b03d2b9cffff0ca52da","observation_id":"ead895e2-bfb9-4373-a454-cb758e67a6c3","resolution":{"observed_at":"2026-08-10T04:59:12.525160Z","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":"2026-08-10T04:59:12.528414Z","title":"Conference on Health, Inference, and Learning , pages=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.528414Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:8aef88c583a828e1b2c2d2be7c79610d031f7fda2d54e852d879a64f3fd292dc","observation_id":"bf9e5237-e24d-475e-bca4-b1d28e73b67f","resolution":{"observed_at":"2026-08-10T04:59:12.528414Z","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":"2026-08-10T04:59:12.531810Z","title":"Medical education online , volume=","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.531810Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:1b4a150aeb77d349f1debc43237f3b2609e5f3552285c86b97580fc1ee200fad","observation_id":"a9e481bd-a602-49d3-9eea-789d29daa022","resolution":{"observed_at":"2026-08-10T04:59:12.531810Z","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":"2026-08-10T04:59:12.535685Z","title":"2024 , publisher=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.535685Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:d32b2565f78ceeb29caf7a4f8ac059624d01afa4909c91ada63ca4f99d2d0b9d","observation_id":"f2957b08-92a5-408d-aa87-2dc5326d73fd","resolution":{"observed_at":"2026-08-10T04:59:12.535685Z","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":"2026-08-10T04:59:12.539199Z","title":"Nature medicine , volume=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.539199Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:fff31bbd31fc5947824351781c8c54e52947c387b420f2897eb608dca6d05be0","observation_id":"df12e5f6-d961-4991-9e8a-abf15b54b3a0","resolution":{"observed_at":"2026-08-10T04:59:12.539199Z","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":"2026-08-10T04:59:12.542568Z","title":"NPJ digital medicine , volume=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.542568Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:ad8bbe5fe1f07a8115036c53b9453e632f63710e73f19bfa7a817d5f038fc3af","observation_id":"aa135325-057c-4aaf-bcf5-8de76b435b3e","resolution":{"observed_at":"2026-08-10T04:59:12.542568Z","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":"2026-08-10T04:59:12.546051Z","title":"2026 , organization=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.546051Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:eb6c2ac1388ff68c350c1c3ba912536c64c687a560306b7797c7cb8d178998e3","observation_id":"b65895ef-14f2-4bdf-868e-eccd5e24e333","resolution":{"observed_at":"2026-08-10T04:59:12.546051Z","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":"2026-08-10T04:59:12.549608Z","title":"and Fan, Xiaoran and Shangguan, Longfei and Wang, Anran and Daryani, Bhavna and Herkenham, Buddy and Tan, Cara and Malhotra, Mark and Patel, Shwetak and Hernandez, John B","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.549608Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:73fb611d1db8fd16e8a2959571857a049f3af036f6586fd1c5415fc25755035d","observation_id":"fd2cbd27-d934-4139-9181-e0033b32ce9d","resolution":{"observed_at":"2026-08-10T04:59:12.549608Z","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":"2026-08-10T04:59:12.553115Z","title":"Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.553115Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:fa37b1240d03b28196e564e76ba4060f9081887ddcf5f56f452631aa427d7847","observation_id":"65fdb9a3-ea66-4e7f-a5cf-4bd715ec500b","resolution":{"observed_at":"2026-08-10T04:59:12.553115Z","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":"2026-08-10T04:59:12.556387Z","title":"2021 , publisher=","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.556387Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:dc8bf7dab7ddcc4eee1cac286084b215fb23fb5ef02b98727287c811a0dde667","observation_id":"b864db00-2dd7-417f-bd56-2bf53298e1b8","resolution":{"observed_at":"2026-08-10T04:59:12.556387Z","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":"2026-08-10T04:59:12.559739Z","title":"NPJ digital medicine , volume=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.559739Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:4ee1ed980284442195cf2ecd291aa744e71bc69e41be341ba67dd0cfd1576ca9","observation_id":"8cc8bdc8-54cb-4a39-aa58-b35fb6731544","resolution":{"observed_at":"2026-08-10T04:59:12.559739Z","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":"2026-08-10T04:59:12.563411Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.563411Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:d960bab69fbfb5eedcebf110e2c891ab3c685563fcebb7d39bf3c0f554b872a3","observation_id":"a2b596ce-aab8-4242-a911-af83f21725fc","resolution":{"observed_at":"2026-08-10T04:59:12.563411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.12031","last_updated":"2023-08-17T17:19:02Z","snapshot_observed_at":"2026-08-09T07:40:40.764913Z","submitted_at":"2023-05-19T23:07:09Z","title":"Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.12031","snapshot_observed_at":"2026-08-10T04:59:12.566849Z","title":"arXiv preprint arXiv:2305.12031 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.566849Z"},"links":{"cited_paper":"/paper/2305.12031","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:f7d5c77c1277e2ef532d3474481eb637b447a2d6400d6e4de79071f8d069c532","observation_id":"c63800bf-ea3b-430c-bc2e-586b337a0015","resolution":{"observed_at":"2026-08-10T04:59:12.566849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.08247","last_updated":"2025-03-18T21:31:51Z","snapshot_observed_at":"2026-08-07T23:01:40.564640Z","submitted_at":"2023-04-14T11:28:08Z","title":"MedAlpaca -- An Open-Source Collection of Medical Conversational AI Models and Training Data","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.08247","snapshot_observed_at":"2026-08-10T04:59:12.570787Z","title":"arXiv preprint arXiv:2304.08247 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":79,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.570787Z"},"links":{"cited_paper":"/paper/2304.08247","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:7d7c3dc182aa1f55714d66c3c10cfcbef6f0e09985225171541acddbebbda320","observation_id":"6caaf5a4-fa41-4125-bbec-116e9df1b34e","resolution":{"observed_at":"2026-08-10T04:59:12.570787Z","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":"2026-08-10T04:59:12.574671Z","title":"NPJ digital medicine , volume=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":80,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.574671Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:80b2a8c62b850b5ec5675373d9eb52a1e0b628c8ea2e1f182a271e86df6b93a6","observation_id":"641644c7-b81c-44d6-bb7b-1855e089811c","resolution":{"observed_at":"2026-08-10T04:59:12.574671Z","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":"2026-08-10T04:59:12.578101Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.578101Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:d4f5c7d3eac25c1b12a21c0605e0b60aa5037641a9cce69a0c96d0814042d1c6","observation_id":"086b0f35-62fa-4e51-83b3-bc0df8fd9c8a","resolution":{"observed_at":"2026-08-10T04:59:12.578101Z","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":"2026-08-10T04:59:12.581517Z","title":"Nature , volume=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":82,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.581517Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:2b10b7f7d2a5b4a2a8f9f60b7a4abcfef33885ade60fb05310e8eb962a9a6353","observation_id":"4354e571-70a3-467c-b817-308c7acef6cc","resolution":{"observed_at":"2026-08-10T04:59:12.581517Z","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":"2026-08-10T04:59:12.584897Z","title":"2025 , organization=","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.584897Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:4b1b14d514357b0b3306b4b4a73f4868be5c92c92ee3aea196001da4fbb0c6f4","observation_id":"a52c151b-5b03-49b0-8a3b-b9d046bbaee5","resolution":{"observed_at":"2026-08-10T04:59:12.584897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.16079","last_updated":"2023-11-27T18:49:43Z","snapshot_observed_at":"2026-07-06T16:53:18.275859Z","submitted_at":"2023-11-27T18:49:43Z","title":"MEDITRON-70B: Scaling Medical Pretraining for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.16079","snapshot_observed_at":"2026-08-10T04:59:12.588342Z","title":"arXiv preprint arXiv:2311.16079 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.588342Z"},"links":{"cited_paper":"/paper/2311.16079","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:8a4f165549c42253ade031165be53c896dbb1680df1f25929f26aa56df26e705","observation_id":"49cf34c5-c723-4106-9caa-7297aaf1fa81","resolution":{"observed_at":"2026-08-10T04:59:12.588342Z","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":"2026-08-10T04:59:12.592251Z","title":"2026 , publisher=","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.592251Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:5b13dfbbea779db6c5e6bfec4ebc936941110c04c7f95913f80e5ca196d0f635","observation_id":"fe74ab02-cee0-4f39-9b7f-8d77c8d0d5ec","resolution":{"observed_at":"2026-08-10T04:59:12.592251Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.05081","last_updated":"2026-05-01T19:02:06Z","snapshot_observed_at":"2026-08-06T09:30:02.681376Z","submitted_at":"2026-04-06T18:35:57Z","title":"MedGemma 1.5 Technical Report","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2604.05081","snapshot_observed_at":"2026-08-10T04:59:12.595405Z","title":"arXiv preprint arXiv:2604.05081 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.595405Z"},"links":{"cited_paper":"/paper/2604.05081","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:8e43bdf0dbd3d5032e16f49247c922a250f268c7abb7c89670a16d985035a74d","observation_id":"9294462e-9903-4903-99d5-111f9efa6c09","resolution":{"observed_at":"2026-08-10T04:59:12.595405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-10T04:59:12.598821Z","title":"arXiv preprint arXiv:2507.05201 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.598821Z"},"links":{"cited_paper":"/paper/2507.05201","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:1cd896e791c70110c56cafe24ba630b0da33a7016b20f14309adc52caaff164d","observation_id":"8a84d6c7-81d9-4d36-96e0-b1388b9495d8","resolution":{"observed_at":"2026-08-10T04:59:12.598821Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.05862","last_updated":"2022-04-12T15:02:38Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-04-12T15:02:38Z","title":"Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.05862","snapshot_observed_at":"2026-08-10T04:59:12.602535Z","title":"arXiv preprint arXiv:2204.05862 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.602535Z"},"links":{"cited_paper":"/paper/2204.05862","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:9152f13ab879ac69697dd4254137fabb4535f2e331fb3388a8a156f515491466","observation_id":"7c2404e8-2e63-4236-ba99-f694dd866ca8","resolution":{"observed_at":"2026-08-10T04:59:12.602535Z","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":"2026-08-10T04:59:12.606213Z","title":"Constitutional","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.606213Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:d65c9622d72a27c75d03604084dc688b635a751bc889c758e34b737d461355be","observation_id":"86a2b4ae-1cda-4edb-9ae8-fd605db6d98e","resolution":{"observed_at":"2026-08-10T04:59:12.606213Z","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":"2026-08-10T04:59:12.609464Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.609464Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:8561cc5bad1ecd3a4d3eea971e4d381709f4448e77882a3064c13ee5c1bf1279","observation_id":"48aceb84-35b9-426e-b504-51ec6c0295cf","resolution":{"observed_at":"2026-08-10T04:59:12.609464Z","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":"2026-08-10T04:59:12.612783Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.612783Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:b47230fa1b020aa37948b744497dbb553c0af1a41ab6fd14121585c51ae46980","observation_id":"7d9a05e7-5afb-4df8-a9c2-f926b2332054","resolution":{"observed_at":"2026-08-10T04:59:12.612783Z","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":"2026-08-10T04:59:12.616124Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.616124Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:86945f45e49d9971e3300a69c6317ba53ed331c5b12da1b9b9a17eb0ce9f06a1","observation_id":"e339b75b-5abe-47e4-8d02-7114b6182e19","resolution":{"observed_at":"2026-08-10T04:59:12.616124Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08495","last_updated":"2024-07-21T03:00:04Z","snapshot_observed_at":"2026-08-06T12:21:28.468354Z","submitted_at":"2024-03-13T13:04:58Z","title":"Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08495","snapshot_observed_at":"2026-08-10T04:59:12.619999Z","title":"arXiv preprint arXiv:2403.08495 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.619999Z"},"links":{"cited_paper":"/paper/2403.08495","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:3b64e9c43fc1d655512a0013869ebc85d6871c0c83ae3d722731f2bd80bb786c","observation_id":"0d2480b1-1637-4574-9f25-f0f83cda72a8","resolution":{"observed_at":"2026-08-10T04:59:12.619999Z","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":"2026-08-10T04:59:12.623498Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.623498Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:d3e7ed4508e39d9cf60d2be1f9321dca43e96373bf559aefa3ac4d53e639c51b","observation_id":"6b267c1a-b8a6-49a3-82a1-b7bdcdd7606f","resolution":{"observed_at":"2026-08-10T04:59:12.623498Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.16547","last_updated":"2025-03-19T08:47:18Z","snapshot_observed_at":"2026-08-07T16:52:47.627554Z","submitted_at":"2025-03-19T08:47:18Z","title":"Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis","version":1},"cited_work":{"arxiv_id":"2503.16547","doi":null,"metadata_source":"pith","pith_arxiv_id":"2503.16547","snapshot_observed_at":"2026-08-10T04:59:13.479690Z","title":"Empowering Medical Multi-Agents with Clinical Consultation Flow for Dynamic Diagnosis","venue":"cs.AI","work_id":"3384dff2-054e-42ba-aa6d-e5f9bbe037c1","year":2025},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.626837Z"},"links":{"cited_paper":"/paper/2503.16547","citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:c410c8af7b56beb4f929c7c16fadc7dbc6aae500cf4772c0ab67bed0bed31035","observation_id":"4c242ecb-39a8-4bc4-bfdd-5c3e75ff9d4f","resolution":{"observed_at":"2026-08-10T04:59:13.483709Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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":"2026-08-10T04:59:12.630352Z","title":"International Conference on Machine Learning , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.630352Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:c685baba13001e5bd71d1a1315aef5a20046f22e056e337e84f25facac24229f","observation_id":"31d323b9-5a95-45b4-8cf2-c0f2279442a6","resolution":{"observed_at":"2026-08-10T04:59:12.630352Z","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":"2026-08-10T04:59:12.633698Z","title":"arXiv preprint arXiv:2510.24654 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.633698Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:59ddb1a592e501e6e24c79a9e1dbf6839ad789fcbe024078bd662f2cbbc12692","observation_id":"d87aab8d-cc5a-4899-8b12-0e8dea9d5b0b","resolution":{"observed_at":"2026-08-10T04:59:12.633698Z","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":"2026-08-10T04:59:12.637023Z","title":"2009 , howpublished=","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.637023Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:4c2c01d6cfbcbd76828dd9a20b8512056490d77b753342995e9c7b00f468af59","observation_id":"5bf6f486-4af8-4c9f-b5a4-d05b6ef1ff7d","resolution":{"observed_at":"2026-08-10T04:59:12.637023Z","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":"2026-08-10T04:59:12.640460Z","title":"2022 , howpublished=","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.640460Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:1d3fe71d38a09a5605d9d3c3426dd15e3ae576aff170e18ff3f395a3a05ee078","observation_id":"dd759b06-84b9-4b9f-b787-d1e1bd9dc72b","resolution":{"observed_at":"2026-08-10T04:59:12.640460Z","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":"2026-08-10T04:59:12.643690Z","title":"2000 , publisher=","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-10T04:59:12.643690Z"},"links":{"citing_paper":"/paper/2608.07418"},"observation_digest":"sha256:a7383de6f1721f7ae576536767aec5d91ef317fd838e5d89155272d73f09391f","observation_id":"78f9b218-5c5d-4a40-9dae-78e8f9328fa1","resolution":{"observed_at":"2026-08-10T04:59:12.643690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.07418","last_updated":"2026-08-07T17:04:41Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-10T13:13:56.474122Z","submitted_at":"2026-08-07T17:04:41Z","title":"ResidencyRL: Reinforcement Learning in Simulated Clinical Environments"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":97,"verified_exact":2,"verified_fuzzy":0},"total_outbound_references":201},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 100 of 201 outbound references and 0 inbound Pith citation observations for arXiv:2608.07418."}