{"as_of":"2026-08-05T09:28:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4c9fb510bef1e9760be0574a5ceaf678694c9184b73cfbb697518f82ffe17d47","coverage":[{"denominator":51,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":51,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T19:14:06.301012Z","state":"measured"},{"denominator":51,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":51,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+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/2605.16215/citation-record","integrity":"/paper/2605.16215/integrity","json":"/paper/2605.16215/citation-record.json","paper":"/paper/2605.16215"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.05201","last_updated":"2026-04-06T19:50:20Z","snapshot_observed_at":"2026-08-02T22:39:49.756195Z","submitted_at":"2025-07-07T17:01:44Z","title":"MedGemma Technical Report","version":4},"cited_work":{"arxiv_id":"2507.05201","doi":"10.48550/arxiv.2507.05201","metadata_source":"pith","pith_arxiv_id":"2507.05201","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"MedGemma Technical Report","venue":"cs.AI","work_id":"3d3f25c0-31e8-4859-bb3d-0d719b47a63d","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2507.05201","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:7743316089a3571f64c2c32868ae3d4b0d9a004c3999379c582ac7f3356d8efc","observation_id":"981e2505-389d-408b-9bbb-834e585fec26","resolution":{"observed_at":"2026-06-30T19:15:00.096657Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.267722Z","title":"The aloe family recipe for open and specialized healthcare llms.npj Digital Medicine, 2026","venue":null,"work_id":"7d98402c-66be-4056-9178-d7f0a9f34d40","year":2026},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:f2d0a544e83ee4bffdc9710e6ec0bab5504610dbcae7cfb4c055897a794cb943","observation_id":"05f97391-cf9c-4ac5-a8db-b8d662c9dad1","resolution":{"observed_at":"2026-07-08T01:04:25.269028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2311.16079","doi":"10.48550/arxiv.2311.16079","metadata_source":"pith","pith_arxiv_id":"2311.16079","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MEDITRON-70B: Scaling Medical Pretraining for Large Language Models","venue":"cs.CL","work_id":"37ffc476-9077-4c41-90a1-c647f41682d7","year":2023},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2311.16079","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:fb5f56a6205440da0c2323cec41717dba4abd7ad2cee39e993ebae7a27e73774","observation_id":"8884d822-d8cb-4b00-b486-afb719fe7cdd","resolution":{"observed_at":"2026-06-30T19:15:00.111405Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.275301Z","title":"Biomistral: A collection of open-source pretrained large language models for medical domains","venue":null,"work_id":"1aaac78f-304f-4287-96b9-96f13328c82b","year":2024},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:8ff6aa816015f405bd6287ef28fac7f8d0222beac446a6e95538850a8d1d0689","observation_id":"295e0dbc-b46a-4a0f-995a-95968e50b75f","resolution":{"observed_at":"2026-07-08T01:04:25.276739Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.263182Z","title":"Medical large language models are vulnerable to data-poisoning attacks.Nature Medicine, 31(2):618–626, 2025","venue":null,"work_id":"67ed381a-de60-44b6-ab39-a87b06d8b386","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:5532755e32ef665276a94ec786e28f443f940198e23b393bf6a89c0035fbb847","observation_id":"897faeb5-5ac4-4c77-b4f9-9175f914342e","resolution":{"observed_at":"2026-07-08T01:04:25.264684Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.261217Z","title":"Training large language models on narrow tasks can lead to broad misalignment.Nature, 649(8097):584–589","venue":null,"work_id":"1927cc0d-df65-4ad7-ad27-828ec602df20","year":2026},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:c794fa008008d2fc62971359ea9e5e6966f4f85064bf8ef35d535d45408ba58e","observation_id":"50002cd9-ad76-4253-a212-85282deef147","resolution":{"observed_at":"2026-07-08T01:04:25.262595Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.259046Z","title":"Evaluating the effectiveness of biomedical fine-tuning for large language models on clinical tasks.Journal of the American Medical Informatics Association, 32(6):1015–1024","venue":null,"work_id":"2283b24d-43b7-423e-a893-702893e2d45b","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:42fe114b7bf8b7ef5e371948c3e5dda7a4a42f39da920b9c68d5fc6ac6fa8022","observation_id":"91aa5c9f-bcd4-4c35-9c0a-b696fc5b0132","resolution":{"observed_at":"2026-07-08T01:04:25.260498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T10:37:02.006598Z","title":"Large language models encode clinical knowledge.Nature, 620(7972):172–180","venue":null,"work_id":"583c97a8-8780-47df-a993-86531bd4fae6","year":2023},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:1fbfb5a58d59835a1e6627b40edd0d3f22dc0672092b9a333e76e9725830f813","observation_id":"ffc2059f-b285-4b1c-bbc1-d437ddefebe8","resolution":{"observed_at":"2026-07-08T01:04:25.279025Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.301064Z","title":"Toward expert-level medical question answering with large language models.Nature medicine, 31(3):943–950","venue":null,"work_id":"bc02d798-d713-43c6-9a3c-3cd5be93e9c9","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:349a4d1451037071f2664329019e6b6ddd75953fc96db239713cff46c0d8c2ca","observation_id":"e5f75aee-fdad-415e-bdc1-433de771a2c2","resolution":{"observed_at":"2026-07-08T01:04:25.303662Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18416","last_updated":"2024-05-01T17:12:10Z","snapshot_observed_at":"2026-07-06T18:06:49.190172Z","submitted_at":"2024-04-29T04:11:28Z","title":"Capabilities of Gemini Models in Medicine","version":2},"cited_work":{"arxiv_id":"2404.18416","doi":"10.48550/arxiv.2404.18416","metadata_source":"pith","pith_arxiv_id":"2404.18416","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Capabilities of Gemini Models in Medicine","venue":"cs.AI","work_id":"27822395-fb36-4417-a4f3-f0a1f801ac20","year":2024},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2404.18416","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:3c95f1c327346f539b029cbdfaddf324edd62fc2e9be477ff8158d0292afcb71","observation_id":"e66bc468-0d93-4f9b-98d4-3645cc9c539a","resolution":{"observed_at":"2026-06-30T19:15:00.119954Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.09774","last_updated":"2024-09-15T08:41:01Z","snapshot_observed_at":"2026-07-06T16:48:33.164024Z","submitted_at":"2023-11-16T10:56:24Z","title":"HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs","version":2},"cited_work":{"arxiv_id":"2311.09774","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2311.09774","snapshot_observed_at":"2026-07-03T00:27:29.434210Z","title":"arXiv preprint arXiv:2311.09774 , year=","venue":null,"work_id":"a6bb6e17-2aae-44ea-bd31-8da27dde72bc","year":2023},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2311.09774","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:df7f790f9a06bc83d87952a15223dd73e20767f1d7d7b6de58dd2d67d05df84e","observation_id":"4bd214c6-3b3d-4892-a212-3b4372bde64f","resolution":{"observed_at":"2026-06-30T19:15:00.084490Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.252403Z","title":"Pmc- llama: toward building open-source language models for medicine.Journal of the American Medical Informatics Association, 31(9):1833–1843","venue":null,"work_id":"21970fe8-8be6-4ce7-a5a3-efb74e4361dd","year":2024},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:33fa7ae4e30a616d5ad63df6d4bfe4b4dda1842902e4e11ac8cc37b5c2a88f91","observation_id":"a97fe178-a2d1-4b38-a228-89c0a1c9d6a4","resolution":{"observed_at":"2026-07-08T01:04:25.254198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.269652Z","title":"Llama-3-meditron: An open-weight suite of medical llms based on llama-3.1","venue":null,"work_id":"c1092a8a-6ba2-437f-971f-c438facc94cc","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:d0d8f70b8a53f0d8ddcc9b4d6486d60bea243949ffcfdc77fa08c776444fe0b7","observation_id":"e623761f-780b-4f9e-80e3-4b537eeba549","resolution":{"observed_at":"2026-07-08T01:04:25.270955Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T17:25:13.216235Z","title":"Investigating data contamination in modern benchmarks for large language models","venue":null,"work_id":"9d5d5e73-b87b-43c8-b264-8d2c23976a6b","year":2024},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:e8937cde731e06509fb0d1354f63127f71c78dd6edf3f8fdadd0c8c3f5fd4119","observation_id":"4b0f4bf3-6625-4e17-86f8-15a88337fae5","resolution":{"observed_at":"2026-07-08T01:04:25.243259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2009.03300","last_updated":"2021-01-12T18:57:11Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-09-07T17:59:25Z","title":"Measuring Massive Multitask Language Understanding","version":3},"cited_work":{"arxiv_id":"2009.03300","doi":"10.48550/arxiv.2009.03300","metadata_source":"pith","pith_arxiv_id":"2009.03300","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Measuring Massive Multitask Language Understanding","venue":"cs.CY","work_id":"e87ec49a-544b-4ec8-8991-75298c64ff5e","year":2020},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2009.03300","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:5288e2bbe38e4682484f0037f99c2969e5aa4133b7fe6324f2b446c1b6f7faf8","observation_id":"ed3b90cf-9181-413f-9223-d66cc4ff22b8","resolution":{"observed_at":"2026-06-30T19:15:00.099504Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-04T01:08:06.256034+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-04T01:08:06.256034+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T03:54:30.352907Z","title":"Truthfulqa: Measuring how models mimic hu- man falsehoods","venue":null,"work_id":"81229962-3656-44da-a54c-197faeefdb7f","year":2022},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:f439a84d93df401ec89e027bb2310dc2e3b8e14c52f9de34e040049d425ff4df","observation_id":"4e52da36-ce78-4781-9221-9e9edc532987","resolution":{"observed_at":"2026-07-08T01:04:25.247577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.243929Z","title":"Hellaswag: Can a machine really finish your sentence? InProceedings of the 57th annual meeting of the association for computational linguistics, pages 4791–4800","venue":null,"work_id":"40e9d896-75dd-4672-b1eb-9a8bf6290ccb","year":2019},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:672a240bc86a050d6e3cb701975d0d7e53aa7db4ec388f36bea1bbac14370e62","observation_id":"394bfe78-2d6c-454a-8451-bbf3f7e081c3","resolution":{"observed_at":"2026-07-08T01:04:25.245482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.250256Z","title":"Winogrande: An adversarial Winograd schema challenge at scale.Communications of the ACM, 64(9):99–106","venue":null,"work_id":"62ca38fb-1f69-4e7e-959b-b702a8964a6c","year":2021},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:c02fbdb241591c40f9bf8a98ac0eb2ef4e57622117bbb5d351e83af3add07aa7","observation_id":"bcf3537a-b34e-4f78-8114-74880e4f4838","resolution":{"observed_at":"2026-07-08T01:04:25.251729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.14168","last_updated":"2021-11-18T00:23:45Z","snapshot_observed_at":"2026-08-04T15:46:25.710484Z","submitted_at":"2021-10-27T04:49:45Z","title":"Training Verifiers to Solve Math Word Problems","version":2},"cited_work":{"arxiv_id":"2110.14168","doi":"10.1002/j.1545-","metadata_source":"pith","pith_arxiv_id":"2110.14168","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Training Verifiers to Solve Math Word Problems","venue":"cs.LG","work_id":"acab1aa8-b4d6-40e0-a3ee-25341701dca2","year":2021},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2110.14168","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:9317f3ec181601e4ac78397f2f308c1139be5c9c7e71406a3805c40398e50977","observation_id":"f69b91a8-6140-46f3-97f6-ad2cc8c17098","resolution":{"observed_at":"2026-06-30T19:15:00.122967Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.239779Z","title":"Can a suit of armor conduct electricity? a new dataset for open book question answering","venue":null,"work_id":"63cb3594-758b-4567-8c20-31940599075b","year":2018},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:8f61b5fd8fec109c167e07c9def47384367f89f3580ee3975f8a3c3e8b86baf2","observation_id":"fc19661a-6e3d-47c1-a7e3-a80c412fd33f","resolution":{"observed_at":"2026-07-08T01:04:25.241109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08493","last_updated":"2024-02-21T22:02:26Z","snapshot_observed_at":"2026-08-03T09:43:09.494832Z","submitted_at":"2023-08-16T16:48:57Z","title":"Time Travel in LLMs: Tracing Data Contamination in Large Language Models","version":3},"cited_work":{"arxiv_id":"2308.08493","doi":null,"metadata_source":"pith","pith_arxiv_id":"2308.08493","snapshot_observed_at":"2026-07-05T09:10:52.120206Z","title":"Golchin, M","venue":"cs.CL","work_id":"e61b9d5f-f0df-4b84-a12b-7455501f934c","year":2023},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2308.08493","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:0bf62c5c300c7eba779420044155cd695fe43df7ac1551fbc5021f8893de4ce9","observation_id":"1dde326d-6d37-4d28-a1c6-5a53453d7f5c","resolution":{"observed_at":"2026-06-30T19:15:00.142697Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2509.14233","doi":"10.48550/arxiv.2509.14233","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Apertus","venue":"arXiv (Cornell University)","work_id":"a286a7a1-c1d8-40dd-8c31-8cb8ac273d76","year":2026},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:b7cddf2e3c1bff95788d1b53c43d994ebcf21c48d420631cd218dfae8311f8e0","observation_id":"d4a352ca-ed67-4677-b5ad-237949ecc16f","resolution":{"observed_at":"2026-06-30T19:15:00.134134Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-05-25T06:23:41.465348+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-25T06:23:41.465348+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.08775","last_updated":"2025-05-13T17:53:59Z","snapshot_observed_at":"2026-07-06T21:23:23.760393Z","submitted_at":"2025-05-13T17:53:59Z","title":"HealthBench: Evaluating Large Language Models Towards Improved Human Health","version":1},"cited_work":{"arxiv_id":"2505.08775","doi":"10.48550/arxiv.2505.08775","metadata_source":"pith","pith_arxiv_id":"2505.08775","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"HealthBench: Evaluating Large Language Models Towards Improved Human Health","venue":"cs.CL","work_id":"5d613c2c-158f-488c-9981-fc9b82a5e093","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2505.08775","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:bfafc77345176812f4af57a311b168c78899cf5162845d45ce0cfc45afa42d32","observation_id":"89a427af-c7a1-48af-9d84-495fc1832e63","resolution":{"observed_at":"2026-06-30T19:15:00.136976Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T01:15:51.145240Z","title":"Large language models in medicine.Nature medicine, 29(8):1930–1940","venue":null,"work_id":"551b9785-ab9a-4b3f-b38c-6df81449ce98","year":1930},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:c160bc57a63ce63eff5089c5d46c3b2fed5b9069686494498b10f124aff036b3","observation_id":"c4b8ad3c-cf23-449f-bc6b-49136f84b409","resolution":{"observed_at":"2026-07-08T01:04:25.249583Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.16747","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T01:17:30.367716Z","title":"Liveclin: A live clinical benchmark without leakage","venue":null,"work_id":"febd3169-943e-4846-b7c0-939cb7c33a38","year":2026},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:e6d687f7004f3c85727052a54d6c4dffaecc9677b3d380febec3c0cf0213eb32","observation_id":"edc20bd3-6fa6-4f56-8021-afe43d4d7c13","resolution":{"observed_at":"2026-06-30T19:15:00.090446Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.254820Z","title":"Xing, Hao Zhang, Joseph E","venue":null,"work_id":"126a9d5f-aa8b-4a73-b5b4-e9eff480fad6","year":2023},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:f642b4ffc89710d7fd2fcd61252a239e5187e1912f55e21a9581f2bf254abd63","observation_id":"dc57223c-6fca-43fa-b1d7-143c7c8fa9cf","resolution":{"observed_at":"2026-07-08T01:04:25.256254Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.256913Z","title":"Judging the judges: Evaluating alignment and vulnerabilities in LLMs- as-judges","venue":null,"work_id":"e1593818-34ab-41dd-ab69-24595702fc86","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:b1098a9c8a3c03787ae82f84288c17362a6f8ff1319cba18d08a3760ac81c8c5","observation_id":"b2548d8d-78c0-4002-816d-f0e3029aaa71","resolution":{"observed_at":"2026-07-08T01:04:25.258303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2510.09738","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T05:56:50.526796Z","title":"Judge’s verdict: A comprehensive analysis of llm judge capability through human agreement","venue":null,"work_id":"910eb4b6-9b86-43b6-800a-b695966a415f","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:a004c220d19c6289f0f7330ef7a9b2e8154eaa7207e1e974efbfc193e5ec764f","observation_id":"15a41791-0fc1-4d93-9921-454f0aa17ef2","resolution":{"observed_at":"2026-06-30T19:15:00.130835Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.304385Z","title":"What disease does this patient have? a large-scale open domain question answering dataset from medical exams.Applied Sciences, 11(14):6421","venue":null,"work_id":"78db2b86-6345-46d6-9d52-3c4bede32880","year":2021},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:de496f08da3ad5eabb3cc645c6469023e2a1ea8df87d6430eb6589635b1fa82e","observation_id":"ad4dda0e-e18d-4ce5-b79b-559f4a924bad","resolution":{"observed_at":"2026-07-08T01:04:25.306010Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.297376Z","title":"Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering","venue":null,"work_id":"cc0c5dd2-ead7-49f5-9937-e17e4d3063f1","year":2022},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:128fdc83881e3bcc0317b6f20640dee7f1926674abf5e6652d82c48b9be48260","observation_id":"61875753-88c3-4eb1-a794-d9fc5fcc4a04","resolution":{"observed_at":"2026-07-08T01:04:25.300032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-09T16:16:21.145834Z","title":"Pubmedqa: A dataset for biomedical research question answering","venue":null,"work_id":"400f60c4-f121-4bb1-850f-817f56e1a00d","year":2019},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:a7456260c61cf13d6bff5b4114145bda19c5b5c21f71188062c49624c92220eb","observation_id":"acebbd93-cf8f-4f5e-97e7-852791fb0426","resolution":{"observed_at":"2026-07-08T01:04:25.294816Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.295450Z","title":"Medexpqa: Multilingual benchmarking of large language models for medical question answering.Artificial intelligence in medicine, 155:102938","venue":null,"work_id":"d7b6e9be-7504-40ed-b604-ec43a584ce17","year":2024},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:b26f40b468c800fc68101f93853a433a57a1ab80d3fe6ee1b9087c1381b50923","observation_id":"f5a18265-352f-4745-9ca5-fe44c200b376","resolution":{"observed_at":"2026-07-08T01:04:25.296803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.281491Z","title":"Overview of the medical question answering task at trec 2017 liveqa","venue":null,"work_id":"85b7b904-6f4a-47ed-a323-05ec5d167fea","year":2017},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:8196c7026a94857d080b7de748c0f0922ac32bb7c80c21605a0caa591e7adae1","observation_id":"61dfb91d-b18f-4825-a95c-122538f771cb","resolution":{"observed_at":"2026-07-08T01:04:25.283074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2411.15640","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T19:15:00.138186Z","title":"Afrimed-qa: A pan-african, multi-specialty, medical question-answering benchmark dataset","venue":null,"work_id":"4813238f-744a-42d3-8c85-764fdd5d434a","year":2024},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:8cbf4684e1d5b040ed0c8a2e2afc211d40a7b257f100cb6ab9771accfa41e788","observation_id":"7e1324bf-5f28-494b-9ffb-5e1ba0721362","resolution":{"observed_at":"2026-06-30T19:15:00.139864Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10925","last_updated":"2025-08-08T19:24:38Z","snapshot_observed_at":"2026-08-01T16:27:35.664983Z","submitted_at":"2025-08-08T19:24:38Z","title":"gpt-oss-120b & gpt-oss-20b Model Card","version":1},"cited_work":{"arxiv_id":"2508.10925","doi":"10.3115/1073083.1073135","metadata_source":"pith","pith_arxiv_id":"2508.10925","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"gpt-oss-120b & gpt-oss-20b Model Card","venue":"cs.CL","work_id":"178c1f7e-4f19-4392-a45d-45a6dfa88ead","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2508.10925","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:29aec74aae41e3da2c3ba3553ac3675b1f88ffce127356eaa0cec7bbdcc0187a","observation_id":"4de6c7c8-11d8-4fd2-997a-dbcea98627f2","resolution":{"observed_at":"2026-06-30T19:15:00.145522Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-11T19:19:47.962081+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T19:19:47.962081+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.00656","last_updated":"2025-10-08T07:50:45Z","snapshot_observed_at":"2026-07-06T20:15:22.511263Z","submitted_at":"2024-12-31T21:55:10Z","title":"2 OLMo 2 Furious","version":3},"cited_work":{"arxiv_id":"2501.00656","doi":"10.48550/arxiv.2501.00656","metadata_source":"pith","pith_arxiv_id":"2501.00656","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"2 OLMo 2 Furious","venue":"cs.CL","work_id":"9ef0dc2b-fdfe-4f14-b235-ef7556dc709a","year":2024},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2501.00656","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:d97592114d088260dc67c773b2b22942ae4f9686093b4ca4b21004f0cc27dae0","observation_id":"2543cde2-a4c8-4ce3-8dd5-f96745de7dd1","resolution":{"observed_at":"2026-06-30T19:15:00.101440Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-07-11T05:19:24.20254+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-11T05:19:24.20254+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2602.05879","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T18:18:49.940542Z","title":"Eurollm-22b: Technical report","venue":null,"work_id":"d91f239b-49c4-4c18-bd95-4be8131b1ffa","year":2026},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:d0ab3ce94cbc00401a1264ca59b60fd0ff7bacd1ccc4a8f3fb7f200108b32134","observation_id":"619dc1a3-4a89-44e5-9904-9e12b312c09a","resolution":{"observed_at":"2026-06-30T19:15:00.115698Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.283686Z","title":"Gemma 3 technical report","venue":null,"work_id":"8ec1b715-de6f-43ae-9115-9f036002ddca","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:f806704b26c0a1734b18e7b5664dae372264b8a99e10d329e08891e38e67282a","observation_id":"27cf04ec-f23b-4633-8000-eeb4e5b545f0","resolution":{"observed_at":"2026-07-08T01:04:25.284878Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.285631Z","title":"Qwen3 technical report","venue":null,"work_id":"ab7415c3-91fd-48f4-8bbc-60de3ddc96ef","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:e98a844dc736f47aee8460b97e977db973ae5f18a366e37378f3436164976a43","observation_id":"9b11b7f1-9f4e-4a75-87f5-9cc4a8b923ac","resolution":{"observed_at":"2026-07-08T01:04:25.286934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18362","last_updated":"2025-06-06T13:00:07Z","snapshot_observed_at":"2026-07-06T20:28:24.203633Z","submitted_at":"2025-01-30T14:07:56Z","title":"MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding","version":3},"cited_work":{"arxiv_id":"2501.18362","doi":"10.18653/v1/2025.acl-long.452","metadata_source":"pith","pith_arxiv_id":"2501.18362","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding","venue":"cs.AI","work_id":"17099117-68ce-46a6-a057-ac254bc140ac","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2501.18362","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:7a5c49d0bfcf3e2d0765ea9dd7b95842552ababbcdabd19366a520175d6a28b2","observation_id":"59e7a0e2-c6b9-41cb-a6ec-1749cb4a4634","resolution":{"observed_at":"2026-06-30T19:15:00.117175Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-10T16:57:25.345368Z","title":"Mmlu-pro: A more robust and challenging multi-task language understanding benchmark.Advances in Neural Information Processing Systems, 37:95266–95290","venue":null,"work_id":"8ce2e771-bc8c-4b3b-a834-6303b981b746","year":2024},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:0df9e19d988a39dd2d5f5691d2c9d6c0c17b58e2c39e457393f23db9e32cc6bf","observation_id":"9b135668-dec2-44db-9891-45170522bce1","resolution":{"observed_at":"2026-07-08T01:04:25.288845Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.07911","last_updated":"2023-11-14T05:13:55Z","snapshot_observed_at":"2026-07-06T16:47:08.877195Z","submitted_at":"2023-11-14T05:13:55Z","title":"Instruction-Following Evaluation for Large Language Models","version":1},"cited_work":{"arxiv_id":"2311.07911","doi":"10.48550/arxiv.2311.07911","metadata_source":"pith","pith_arxiv_id":"2311.07911","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Instruction-Following Evaluation for Large Language Models","venue":"cs.CL","work_id":"3aa06177-125a-4f5a-8f4a-8070c5986c26","year":2023},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2311.07911","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:e33ad735c12d61b2502cd379e51490767b5c1d5bafb5474b4840327c9cb41111","observation_id":"31e8973e-bc3f-4830-b580-f6a44c855c9b","resolution":{"observed_at":"2026-06-30T19:15:00.122060Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05457","last_updated":"2018-03-14T18:04:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-03-14T18:04:21Z","title":"Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge","version":1},"cited_work":{"arxiv_id":"1803.05457","doi":"10.1162/tacl_a_00448.https://aclanthology.org/2022.tacl-1.5","metadata_source":"pith","pith_arxiv_id":"1803.05457","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge","venue":"cs.AI","work_id":"28ea1282-d657-4c61-a83c-f1249be6d6b1","year":2018},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/1803.05457","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:be367434645398f5cd0239b665bad14335bafae044935c20e3cff0c0aeded481","observation_id":"fa34170c-4c4a-4ccc-a340-4ae8c4ede516","resolution":{"observed_at":"2026-06-30T19:15:00.133088Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.291469Z","title":"Medical foundation large language models for comprehensive text analysis and beyond.npj Digital Medicine, 8:141","venue":null,"work_id":"c5941ebb-e86f-47f1-8545-b9278576a9fc","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:65f1806891d00c74bcd9968152a39a7f44c5b2a07024cce6a04385bf0f487aa9","observation_id":"cd46185e-689c-4947-a1d9-b71d5945e64b","resolution":{"observed_at":"2026-07-08T01:04:25.292873Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.289612Z","title":"Tulu 3: Pushing frontiers in open language model post-training","venue":null,"work_id":"0b8fada2-a0bc-4dbb-b370-bad33de9d59c","year":2025},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:46526cbf6295f174864169d2cefdbaa91a5fc6a2efa14be51049a1cadd371c47","observation_id":"e744ab56-d01f-41e3-a829-e4b57e461478","resolution":{"observed_at":"2026-07-08T01:04:25.290928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.13784","last_updated":"2024-10-18T08:20:22Z","snapshot_observed_at":"2026-07-06T17:47:51.284226Z","submitted_at":"2024-03-20T17:47:08Z","title":"The Model Openness Framework: Promoting Completeness and Openness for Reproducibility, Transparency, and Usability in Artificial Intelligence","version":6},"cited_work":{"arxiv_id":"2403.13784","doi":"10.48550/arxiv.2403.13784","metadata_source":"arxiv_reference","pith_arxiv_id":"2403.13784","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"L., Abdelmonsef, A., V arghese, S., and Hors, A","venue":"arXiv (Cornell University)","work_id":"033c521a-237a-45de-9d0d-1a3f98c6ee1e","year":2024},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"cited_paper":"/paper/2403.13784","citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:718809b757a93d5840823807c40410f0ae79343527614c27ac2176f0096b2c4a","observation_id":"2ae3dda0-4dd6-4680-b961-446679dc6494","resolution":{"observed_at":"2026-06-30T19:15:00.112720Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.271520Z","title":"It is fast, widely available, and provides detailed anatomical information about solid organs, vasculature, retroperitoneum, and bony structures","venue":null,"work_id":"63962c8d-8c11-4821-9917-57c1fccfa517","year":null},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:0d705ccc2c7bc9890d43c1f369da867388336f437a2acec8fe890343f7307ecb","observation_id":"ca9045b7-40b1-49e9-acbb-7b1cd2f8c11f","resolution":{"observed_at":"2026-07-08T01:04:25.272935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.273512Z","title":"The protocol should be streamlined and focused","venue":null,"work_id":"4a0c6329-b2d9-4c96-a435-0f79bd2d414b","year":null},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:df990f8dfcdc37e6eacce066ef71334eaafa6e839500e540a90848f810a4959a","observation_id":"d67a6da9-4d0b-47e2-ae8f-68500e8fb74f","resolution":{"observed_at":"2026-07-08T01:04:25.274738Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.279631Z","title":"*Splenic Injury:The spleen is the most commonly injured solid organ in blunt abdominal trauma","venue":null,"work_id":"0f94fd4f-c952-46c4-b775-c874b6baac53","year":null},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:d40d6a0fffa5a161a45c8749018134e0940805f7405397dd7e397ebb56ecdf39","observation_id":"127388a9-99ff-4b2c-b94f-5d66649e580e","resolution":{"observed_at":"2026-07-08T01:04:25.280986Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T01:04:25.265293Z","title":"The patient’s GCS of 15 allows for a quick, whole-body CT scan","venue":null,"work_id":"dc8c7b56-d954-4cd5-b89a-6ea49ed6a4a3","year":null},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:9f1bf7b75eddc31324911ed9f8d8d018c685f6742f7a6e674160929ed7277f28","observation_id":"01471cea-a7fd-48f6-860d-8ae92fe9463f","resolution":{"observed_at":"2026-07-08T01:04:25.267192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"1146.9113","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-30T19:15:00.108420Z","title":"Model 1” and “Model 2","venue":null,"work_id":"733f6bae-c714-4a90-9a50-dce90e99a3ca","year":2024},"citing_paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-30T19:14:06.301012Z"},"links":{"citing_paper":"/paper/2605.16215"},"observation_digest":"sha256:1c769cf8ae8518c5b8c7071798d94d6ab8fd55111f23c8c306813a3da6eb7522","observation_id":"c9d256e5-b8ed-42dc-abce-2fd2860b3602","resolution":{"observed_at":"2026-06-30T19:15:00.109875Z","resolver_source":"arxiv_id","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2605.16215","last_updated":"2026-05-29T15:56:10Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-01T21:48:29.521834Z","submitted_at":"2026-05-15T17:29:08Z","title":"Fully Open Meditron: An Auditable Pipeline for Clinical LLMs"},"reference_resolution":{"displayed":51,"state_counts":{"malformed_identifier":1,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":0,"verified_exact":17,"verified_fuzzy":31},"total_outbound_references":51},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2605.16215."}