{"as_of":"2026-08-10T08:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:50930a9b3e0ec28c8c295f9efe124af442e1981a0056d83dd2d86fa72767c79e","coverage":[{"denominator":42,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":42,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T17:33:50.161915Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T18:39:14.083052Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-30T19:15:01.436284Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"cited_work":{"arxiv_id":"2508.16129","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.16129","snapshot_observed_at":"2026-07-30T01:19:06.178399Z","title":"Bridging the gap in ophthalmic ai: Mm-retinal-reason dataset and ophthareason model toward dynamic multimodal reasoning.arXiv preprint arXiv:2508.16129, 2025","venue":null,"work_id":"5409f438-5c25-4c72-88d1-b956c483a79d","year":2025},"citing_paper":{"arxiv_id":"2604.08322","last_updated":"2026-04-09T14:55:22Z","snapshot_observed_at":"2026-08-02T13:56:49.542952Z","submitted_at":"2026-04-09T14:55:22Z","title":"Fundus-R1: Training a Fundus-Reading MLLM with Knowledge-Aware Reasoning on Public Data","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-10T18:16:27.132699Z"},"links":{"cited_paper":"/paper/2508.16129","citing_paper":"/paper/2604.08322"},"observation_digest":"sha256:f63849b1070632121c10d2f48de05f72e979c297e344afa24dc99f27a8e57d01","observation_id":"9d376438-286b-44ec-8a64-22a79585f180","resolution":{"observed_at":"2026-07-30T01:19:06.178399Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"cited_work":{"arxiv_id":"2508.16129","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.16129","snapshot_observed_at":"2026-07-30T01:19:06.178399Z","title":"Bridging the gap in ophthalmic ai: Mm-retinal-reason dataset and ophthareason model toward dynamic multimodal reasoning.arXiv preprint arXiv:2508.16129, 2025","venue":null,"work_id":"5409f438-5c25-4c72-88d1-b956c483a79d","year":2025},"citing_paper":{"arxiv_id":"2605.27916","last_updated":"2026-05-27T03:43:23Z","snapshot_observed_at":"2026-08-07T23:28:38.474542Z","submitted_at":"2026-05-27T03:43:23Z","title":"OphIn-500K: Curating Web-Scale Visual Instructions for Scaling Ophthalmic Multimodal Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-06-29T13:28:44.485743Z"},"links":{"cited_paper":"/paper/2508.16129","citing_paper":"/paper/2605.27916"},"observation_digest":"sha256:9ee5484b3e501e2577e1f2d87db1b54e08d2fb3d015bbe8fddf72eb372887701","observation_id":"bcfbc1f8-6b29-44d7-88d2-278d2bbc5418","resolution":{"observed_at":"2026-07-30T01:19:06.178399Z","resolver_source":"arxiv_id","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":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"cited_work":{"arxiv_id":"2508.16129","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2508.16129","snapshot_observed_at":"2026-07-30T01:19:06.178399Z","title":"Bridging the gap in ophthalmic ai: Mm-retinal-reason dataset and ophthareason model toward dynamic multimodal reasoning.arXiv preprint arXiv:2508.16129, 2025","venue":null,"work_id":"5409f438-5c25-4c72-88d1-b956c483a79d","year":2025},"citing_paper":{"arxiv_id":"2606.07549","last_updated":"2026-05-18T12:30:03Z","snapshot_observed_at":"2026-07-06T23:47:10.030985Z","submitted_at":"2026-05-18T12:30:03Z","title":"PathoSage: Towards Multi-Source Evidence Adjudication in Pathology via Experience-Aware Agentic Workflow","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-06-30T18:39:14.083052Z"},"links":{"cited_paper":"/paper/2508.16129","citing_paper":"/paper/2606.07549"},"observation_digest":"sha256:21c61990dc28588a2fee53b3cc33a2d1cf6aac319987b1b2b114cd5f8437aaae","observation_id":"a2c5468d-9f51-4065-af9b-825f30089d19","resolution":{"observed_at":"2026-07-30T01:19:06.178399Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2508.16129/citation-record","integrity":"/paper/2508.16129/integrity","json":"/paper/2508.16129/citation-record.json","paper":"/paper/2508.16129"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:58.526783Z","title":null,"venue":null,"work_id":"b6b16d84-058a-430e-abc7-34c8ce02be81","year":2025},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:44.328757Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:11f130aab1ab77a0c25ff609081a080a525344f3b54b06b0ce58aa9749b65a91","observation_id":"e3abbf09-d6fb-49fa-bdf0-d3f9f31456d8","resolution":{"observed_at":"2026-08-05T17:33:58.627856Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:58.304397Z","title":null,"venue":null,"work_id":"10e78af4-4ede-4754-b09d-4324186760dd","year":2025},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:44.436419Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:d7d856432cdec31b9a6dc5e9423f94faf3d585bec6331d4eb6226bd2ca481818","observation_id":"7dd39ebe-d50e-446a-bf62-0662892c51ac","resolution":{"observed_at":"2026-08-05T17:33:58.438336Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:57.938741Z","title":null,"venue":null,"work_id":"94fd2230-ed7f-4c37-ae60-f01b9b29f4dc","year":2025},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:44.606349Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:3cbb61768657a9726ef34dc2861ae088da4c665a499ed1fc58d81f94884cc0d0","observation_id":"f6f45166-50ab-4d5c-ba62-190d043320b5","resolution":{"observed_at":"2026-08-05T17:33:58.144358Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:57.629600Z","title":null,"venue":null,"work_id":"b445a432-f2c3-40f9-8c67-d330b62b05ce","year":2017},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:44.774119Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:ce32680e545c4a4c422eb1ad38f1389b1b1546d39058ea221623519d2bd80f7b","observation_id":"72361c20-17c0-42a2-86ae-1ff2fc3c3577","resolution":{"observed_at":"2026-08-05T17:33:57.809619Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:57.329084Z","title":null,"venue":null,"work_id":"bc61f08d-5a29-4f49-a5dd-645de5ae96bb","year":2025},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:44.909772Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:4010ec85e84b31e7638e393e78c4d54e029c6360f68e44f68b1db52b8a7ed0dc","observation_id":"ca8622f5-90a2-48e7-a8de-442cef61dccf","resolution":{"observed_at":"2026-08-05T17:33:57.506117Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:57.089493Z","title":"Aho, Monica S","venue":null,"work_id":"4bd81730-63ef-49f5-b959-b184a44aaa9b","year":2006},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:45.045805Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:f3621d871feeed537304c3f1ba7fea9189c0e3c280809b2842e31f9c4c687e5d","observation_id":"6c8989a4-f149-405f-8469-9a3be80e4ff5","resolution":{"observed_at":"2026-08-05T17:33:57.189744Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"8857.11689","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:52.662543Z","title":null,"venue":null,"work_id":"5e2ef0a5-57ad-4e8e-8740-6a4a58005941","year":2006},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:45.175626Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:b7cf5b8e97c1c10329863773cafb80748f07e5bfa62e9f80912a7795b795795c","observation_id":"da1d6e2a-3fc4-44c1-9a5c-b93d00e84c27","resolution":{"observed_at":"2026-08-05T17:33:52.751447Z","resolver_source":"raw_fallback","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:56.889234Z","title":null,"venue":null,"work_id":"747ffa50-9b17-48c7-b23c-3dab151f320a","year":2008},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:45.309579Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:d8d6f8759cd16046305782d94ea2169e2e25f0bd4f7398dba3afaeb29dee87f4","observation_id":"133a5eb1-c543-4b37-8400-f3c6e86f727e","resolution":{"observed_at":"2026-08-05T17:33:56.974033Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:56.711296Z","title":null,"venue":null,"work_id":"66ac6a0d-be9c-4ba3-8b25-006cf0862b3b","year":2018},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:45.432616Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:22c81e0d3f4e7ccfa879cb11642957995a85932def627dd9334ba13525299fe4","observation_id":"0c72a0e9-2cb0-41f2-a6a3-854991753bb2","resolution":{"observed_at":"2026-08-05T17:33:56.798372Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"10.1007/978-3-662-46663-6_9","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"2015.Optgen: A Generator for Local Optimizations","venue":"Lecture notes in computer science","work_id":"82df81bd-c9b4-439c-abfb-b8794393a3e3","year":2015},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:45.597448Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:b93380e4afb71a3f655b6b9790e9b0786d049b74d8bcc69d0ab868c61880e37a","observation_id":"ec702fc6-576d-4bc7-9b42-25c297ac8ea6","resolution":{"observed_at":"2026-08-05T17:33:50.685422Z","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":{"arxiv_id":"2309.07062","last_updated":"2023-09-11T22:11:46Z","snapshot_observed_at":"2026-08-08T22:17:08.501147Z","submitted_at":"2023-09-11T22:11:46Z","title":"Large Language Models for Compiler Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07062","snapshot_observed_at":"2026-08-05T17:33:45.715842Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:45.715842Z"},"links":{"cited_paper":"/paper/2309.07062","citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:f41920015ca73b204896bb5e4037ae589d8d38b69ffd5f32b3f40b7568a86ad9","observation_id":"bf4842cd-8ff3-41f4-8754-0f0f7ba8bcd4","resolution":{"observed_at":"2026-08-05T17:33:45.715842Z","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":"2874.50288","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:52.449360Z","title":"Davidson and Christopher W","venue":null,"work_id":"cacd6b2b-cb4c-4124-b682-150d4a09c687","year":1984},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:45.868382Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:af06b35f5dbd671d31b5b149cf1f94d446681797953a5c729fed9f19c99d1d44","observation_id":"cd983c94-6e61-41ad-93d9-ea11d5125559","resolution":{"observed_at":"2026-08-05T17:33:52.526123Z","resolver_source":"raw_fallback","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:56.453188Z","title":"1991.Crafting a Compiler with C","venue":null,"work_id":"66b682b1-ae90-4d3e-9993-abcf6817d83a","year":1991},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:46.011266Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:4784c83cf0c21fe42e4026a0a2754581af48d760714c07f13daef42238f7eaae","observation_id":"2230da04-50cb-44bf-8344-0697b49f2bbb","resolution":{"observed_at":"2026-08-05T17:33:56.591758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:56.236327Z","title":null,"venue":null,"work_id":"2b7ebe74-e976-4076-9104-fd682b988670","year":null},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:46.152493Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:fbdd81272be33765fd3bfac35a39e4d8d1cd372650b943f42539b24dd0374512","observation_id":"83861a28-af54-40e0-895d-099122621f72","resolution":{"observed_at":"2026-08-05T17:33:56.349698Z","resolver_source":"raw_fallback","status":"unresolved"},"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":{"arxiv_id":"2306.17077","last_updated":"2025-01-09T01:29:00Z","snapshot_observed_at":"2026-07-06T15:48:25.059865Z","submitted_at":"2023-06-29T16:28:34Z","title":"RAPGen: An Approach for Fixing Code Inefficiencies in Zero-Shot","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.17077","snapshot_observed_at":"2026-08-05T17:33:46.433242Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:46.433242Z"},"links":{"cited_paper":"/paper/2306.17077","citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:b9276c26e62d6b661c1da26432dddfe0ede290e2ad7037c84dc498c1a740fdcc","observation_id":"05538036-1047-4412-82a1-d7f70869cb29","resolution":{"observed_at":"2026-08-05T17:33:46.433242Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:56.011965Z","title":null,"venue":null,"work_id":"4bf8cad0-5a9c-4f6e-b244-d2fcf2af3f2e","year":null},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:46.613596Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:b2f0fb72b3b15522881fcfa7ae055bc98a7d86aa08fbf6c1e1d1c76bf4a94b75","observation_id":"ae1cf031-11bc-4da4-9ca0-3a0690525610","resolution":{"observed_at":"2026-08-05T17:33:56.112334Z","resolver_source":"raw_fallback","status":"unresolved"},"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":{"arxiv_id":"2501.00655","last_updated":"2024-12-31T21:47:46Z","snapshot_observed_at":"2026-08-05T09:59:00.373514Z","submitted_at":"2024-12-31T21:47:46Z","title":"Finding Missed Code Size Optimizations in Compilers using LLMs","version":1},"cited_work":{"arxiv_id":"2501.00655","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.00655","snapshot_observed_at":"2026-08-05T17:33:52.118494Z","title":"Finding Missed Code Size Optimizations in Compilers using LLMs","venue":"cs.SE","work_id":"1a1954bb-8741-4d7a-9060-8ce97d30fe96","year":2024},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:46.904688Z"},"links":{"cited_paper":"/paper/2501.00655","citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:cc876096f33942ecf441e7fef26b886aea4373b2f894e0b1f5efd3f70d422328","observation_id":"aad1d5b7-9eb2-4542-b78e-48d3d645a726","resolution":{"observed_at":"2026-08-05T17:33:52.236222Z","resolver_source":"local_arxiv","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":{"arxiv_id":"2403.14714","last_updated":"2024-03-18T23:25:13Z","snapshot_observed_at":"2026-08-10T02:29:41.101961Z","submitted_at":"2024-03-18T23:25:13Z","title":"Compiler generated feedback for Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.14714","snapshot_observed_at":"2026-08-05T17:33:46.764779Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:46.764779Z"},"links":{"cited_paper":"/paper/2403.14714","citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:2653c5105606e3867b07b7919e9a02e0e14b14df6579455db14c9e2a7cb064e8","observation_id":"d955c835-6b9d-4afb-b9ce-59e7e4ef95d0","resolution":{"observed_at":"2026-08-05T17:33:46.764779Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:55.778615Z","title":null,"venue":null,"work_id":"202c74aa-b23a-4076-8d38-4519e777d1e6","year":2004},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:47.179247Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:6b3b3052574c849681acdd1b0b006b80b376ca91f53a2266ef0004480eb47c1f","observation_id":"b637af3c-eb99-45b1-87f2-dceacf3a99a7","resolution":{"observed_at":"2026-08-05T17:33:55.899475Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"3552.51256","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:51.890641Z","title":null,"venue":null,"work_id":"d742f92b-5b68-4eac-aaf1-db91212af08d","year":2002},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:47.037878Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:f80774c849489228c0a801d7ecddcc92e7b4b47e00d7fb0caa54952685a9ced2","observation_id":"3853371b-92de-41ed-8add-e7e8c2e8936b","resolution":{"observed_at":"2026-08-05T17:33:52.028222Z","resolver_source":"raw_fallback","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:55.297211Z","title":null,"venue":null,"work_id":"74bb82a7-6509-4ada-84c3-19748ae0c3ea","year":2024},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:47.507405Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:32d4f36ed124f28ea91bf61d9925e0e4dd8cd4bab1e003aaf0e1f1fe7e23da3b","observation_id":"e0e730c7-9fc1-4797-9f77-5a2e4d884929","resolution":{"observed_at":"2026-08-05T17:33:55.446375Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:55.547527Z","title":"2002.LLVM: An infrastructure for multi-stage optimization","venue":null,"work_id":"e48183e8-ca60-438e-80a6-0db3af1fdb61","year":2002},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:47.354866Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:5b74dd2960b9315a2bea637c1df9e372ae2df580eb2f37fa6d5fea7dd4d2e93e","observation_id":"c83712d7-b81d-4133-b935-da5d39ebcfb7","resolution":{"observed_at":"2026-08-05T17:33:55.675095Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:54.673278Z","title":null,"venue":null,"work_id":"2c9eb71c-3afa-414d-a88e-daf398fcc4cf","year":2021},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:48.024740Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:99abb518cb875f0446f1236366b36a618cdeddd5b0e0f2cc977f058342080873","observation_id":"86cd78fc-e960-4d2c-a566-17c3f29f9b77","resolution":{"observed_at":"2026-08-05T17:33:54.763463Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:55.096210Z","title":null,"venue":null,"work_id":"7c8680e8-cdfc-4fb4-af37-cb14a731252a","year":null},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:47.698754Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:ec93a6e8ecd7051e496d255062bca676f25bffba99535ff1d2b91d7895e6074b","observation_id":"08fe33d5-b5fa-4c18-b13e-3861188753ff","resolution":{"observed_at":"2026-08-05T17:33:55.196854Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2024.35042","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:51.617119Z","title":null,"venue":null,"work_id":"634af0bc-b7f6-49da-9b88-8731f023ac03","year":2025},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:48.562881Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:32ee55e16bbd5fbc3b3c4db82b3f2943df390a911140ee6b11dbdaba9ddceacf","observation_id":"0e474c37-d0d5-4e9f-886c-1ea37cc73b87","resolution":{"observed_at":"2026-08-05T17:33:51.728340Z","resolver_source":"raw_fallback","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":"6177.36194","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:51.191707Z","title":null,"venue":null,"work_id":"824a1931-79d3-4e91-9481-71f99bf7e517","year":1987},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:48.722892Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:7853a4f42918f59af71422bf359e2dd346855f097a9ba2534ef5e07fb61f306a","observation_id":"e1a37d79-53dd-46a6-9f85-9429fd6d2a23","resolution":{"observed_at":"2026-08-05T17:33:51.422138Z","resolver_source":"raw_fallback","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:54.474036Z","title":null,"venue":null,"work_id":"220a7a5b-b380-4217-8ca6-6a0bdfa107de","year":null},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:48.188514Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:b5b5ec5fdadaed2ad7c4e3c2015e1f1158dffe9d42bd6a134d70214782f62995","observation_id":"505f135c-a32f-4dc6-9730-8f6f509ec842","resolution":{"observed_at":"2026-08-05T17:33:54.535287Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"2026-08-05T17:33:49.032265Z","title":null,"venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:49.032265Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:bad06112a6ab614896bb67276a6b98e99af3ecf3a646be96de4477bba2c55f2c","observation_id":"a3f7af70-537f-4ff6-8c51-e736dad1946c","resolution":{"observed_at":"2026-08-05T17:33:49.032265Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:54.049939Z","title":null,"venue":null,"work_id":"6ec6859c-92b1-4dc1-ab2c-551c5ccadd5f","year":2016},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:49.248989Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:0c3b7fec6aeaf92d13c077f63737c1f4f94ad15d2a5ed7060502cf55e76048a4","observation_id":"95a7cfb6-44e4-49c9-99ce-65508f8bbbb7","resolution":{"observed_at":"2026-08-05T17:33:54.145964Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"10.1145/3649837","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":null,"venue":"Proceedings of the ACM on Programming Languages","work_id":"a5a0c607-c0d5-4505-a97f-a8c7d00b28e4","year":2024},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:49.398089Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:82635b804f35acf288e9271a5de63b68a5e5ccea1d7eed35666883987dc65761","observation_id":"bf2cebc7-9040-4204-8707-b3e1b6a1a543","resolution":{"observed_at":"2026-08-05T17:33:50.398273Z","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":"4995.36500","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:50.876108Z","title":null,"venue":null,"work_id":"e79ce240-6045-4320-90e5-82e8dd495a67","year":1965},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:48.869157Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:084ad591d8d32dd975d9ec324f63ae50bf5b16a402a001783b7ea42b85d95c98","observation_id":"4bd6ab63-ef6c-45b6-b757-13e258251aa5","resolution":{"observed_at":"2026-08-05T17:33:50.975939Z","resolver_source":"raw_fallback","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:53.684061Z","title":null,"venue":null,"work_id":"e8cb1e88-052c-4b84-b59d-18a227010e62","year":1998},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:49.573259Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:247e69ddbf794f8cb74f0967920c7a93b8177488069b8a932e565b2cb7f7648f","observation_id":"a91e975b-24bf-4294-92f3-567d30c8366a","resolution":{"observed_at":"2026-08-05T17:33:53.769139Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:53.483633Z","title":null,"venue":null,"work_id":"89f4fd4d-b415-4f70-b2fb-8b1c9673ce27","year":2025},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:49.645139Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:9a88b7ac92c1056860d43398504b306bffb117b5b32d8b067c04f38c662bc854","observation_id":"bd814ee4-17df-4e0e-9815-878b5133dce4","resolution":{"observed_at":"2026-08-05T17:33:53.568148Z","resolver_source":"raw_fallback","status":"unresolved"},"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":{"arxiv_id":"1711.04422","last_updated":"2018-04-06T01:50:19Z","snapshot_observed_at":"2026-08-09T08:05:11.992757Z","submitted_at":"2017-11-13T05:01:56Z","title":"Souper: A Synthesizing Superoptimizer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.04422","snapshot_observed_at":"2026-08-05T17:33:49.745515Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:49.745515Z"},"links":{"cited_paper":"/paper/1711.04422","citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:787c762267dc3f6a8c3a8bf115d2f7c504f4cba466e98a3acf5d7a708975d302","observation_id":"94f2dcac-c279-4480-9894-ca2990196001","resolution":{"observed_at":"2026-08-05T17:33:49.745515Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:53.846824Z","title":null,"venue":null,"work_id":"7ca4af69-b04f-47e7-af63-4a82c00789ef","year":2000},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:49.516473Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:61d61ffdbf395ac3816939127b2b3f789933ea3863b2bf9dcf4e66be7e7ad1cc","observation_id":"5b840787-4b1a-41db-8aa7-f4cd83353955","resolution":{"observed_at":"2026-08-05T17:33:53.956612Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:53.080131Z","title":null,"venue":null,"work_id":"e9274540-d0d3-4ba2-842f-9bc3ccd05880","year":2022},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:49.947176Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:3cf34d32988230cd267fef8dc8df3087bb4147cf05efdd21594bdeb70796c4c9","observation_id":"ea705970-9147-4f40-9367-f8cca5cf6cd9","resolution":{"observed_at":"2026-08-05T17:33:53.190467Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:52.833657Z","title":null,"venue":null,"work_id":"0cfd1aa6-5fa6-4a78-84e5-b21b02dfa827","year":2023},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:50.039311Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:b86aa06d8c5cfa92658e33e445bdad856cd1e24098fc6177d566f9fb1fea9f8f","observation_id":"9d9ceec1-71d6-4c13-9b14-59df7ff0fe1a","resolution":{"observed_at":"2026-08-05T17:33:52.973244Z","resolver_source":"raw_fallback","status":"unresolved"},"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":{"arxiv_id":"2502.06215","last_updated":"2025-02-10T07:33:49Z","snapshot_observed_at":"2026-08-09T11:45:30.991223Z","submitted_at":"2025-02-10T07:33:49Z","title":"LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.06215","snapshot_observed_at":"2026-08-05T17:33:50.161915Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:50.161915Z"},"links":{"cited_paper":"/paper/2502.06215","citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:26a8605c90c92c7ca78f65883eabedfcbf08d9c23a57fd898f5bb371ee0b21db","observation_id":"d490cab7-6281-4045-b81d-7847a32c35e0","resolution":{"observed_at":"2026-08-05T17:33:50.161915Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:53.282435Z","title":null,"venue":null,"work_id":"af0c4e32-a1f2-4bc5-92a2-e52a0ff5fb67","year":2013},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:49.856588Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:fdbea11c0e620da91efaef6211b8dcfd2d120a76d35b0d7c6265fd02ae53d65a","observation_id":"d4ffd96f-7cc5-4e0c-a5cc-461076a426cd","resolution":{"observed_at":"2026-08-05T17:33:53.386309Z","resolver_source":"raw_fallback","status":"unresolved"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:54.272700Z","title":"InProceed- ings of the 36th ACM SIGPLAN Conference on Programming Language Design and Implementation","venue":null,"work_id":"635e6f9d-f307-4d09-ae94-31292a41fb1d","year":null},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:48.342366Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:5730981f4f816f715a4801e6415190ff21141235e105d1828a7d53ea6e225597","observation_id":"6bc5fdd9-d130-476d-9f0d-965492fdc751","resolution":{"observed_at":"2026-08-05T17:33:54.378423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T17:33:54.879673Z","title":"In Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis","venue":null,"work_id":"4f794e66-3424-425e-8184-e3a7ab47937f","year":null},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:47.892081Z"},"links":{"citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:687a20307e053643f4ecbf5e93785cd2bdba87a924ca5d2977f93d97d67e6a38","observation_id":"bc1db455-fe0f-4ef2-9a48-685f990b15fb","resolution":{"observed_at":"2026-08-05T17:33:54.990117Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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":{"arxiv_id":"2408.12159","last_updated":"2024-08-22T06:59:46Z","snapshot_observed_at":"2026-07-06T19:04:26.917233Z","submitted_at":"2024-08-22T06:59:46Z","title":"Search-Based LLMs for Code Optimization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12159","snapshot_observed_at":"2026-08-05T17:33:46.304906Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning","version":3},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:46.304906Z"},"links":{"cited_paper":"/paper/2408.12159","citing_paper":"/paper/2508.16129"},"observation_digest":"sha256:ef916032261e17a6a125f25d545847740632a6ec340031360539fb57a6e27826","observation_id":"a70a7120-4dd5-4687-978e-042d5f138a75","resolution":{"observed_at":"2026-08-05T17:33:46.304906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2508.16129","last_updated":"2026-07-29T14:45:36Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-08T05:37:45.142074Z","submitted_at":"2025-08-22T06:47:30Z","title":"Bridging the Gap in Ophthalmic AI: MM-Retinal-Reason Dataset and OphthaReason Model toward Dynamic Multimodal Reasoning"},"reference_resolution":{"displayed":42,"state_counts":{"malformed_identifier":0,"metadata_mismatch":5,"parse_uncertain":0,"unresolved":28,"verified_exact":4,"verified_fuzzy":5},"total_outbound_references":42},"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 42 of 42 outbound references and 3 inbound Pith citation observations for arXiv:2508.16129."}