{"as_of":"2026-08-19T09:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7a3ddaeff35bd3108da4ff17f18d7e80f3bf13042618b227a4a764835c316e55","coverage":[{"denominator":82,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":82,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-03T13:41:14.958420Z","state":"measured"},{"denominator":82,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":82,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2607.01814/citation-record","integrity":"/paper/2607.01814/integrity","json":"/paper/2607.01814/citation-record.json","paper":"/paper/2607.01814"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-05T07:40:47.811630Z","title":null,"venue":null,"work_id":"1518b7c9-c324-4694-8eff-5e19d48ab296","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:ec536ae788d6376be564cf6913800c908def9abb8831d5651406ec3297f5ba32","observation_id":"65db710d-5b70-4681-bb51-171b998db08e","resolution":{"observed_at":"2026-07-05T07:40:47.812539Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.810045Z","title":"The dataset will be made publicly available and maintained","venue":null,"work_id":"49da5975-ee6f-40e3-8118-21552d4e7ffb","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:33b082e0c73ca7e8b091d8a2cf63a4b3137c9088dd8b60c36c14b4f0ce573e02","observation_id":"c69167aa-1c62-4d30-9c3a-e6db2f087b3f","resolution":{"observed_at":"2026-07-05T07:40:47.811128Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.816542Z","title":null,"venue":null,"work_id":"a5f995f7-f4a9-48b1-bd1a-f98a68497949","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:23122d8c5f1bb02d0ae958028434c649290dce1052d4e31a5217f936a8aa09d9","observation_id":"a6b6b5d1-414b-4b26-853d-8042184a4529","resolution":{"observed_at":"2026-07-05T07:40:47.817906Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.865006Z","title":null,"venue":null,"work_id":"279b9f2b-6910-4206-927f-3fc44ee72ca2","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:0e38ab78915a1ff0e8bcbf745c8bf7d80e83e8a99fa2c8fe197456aa64376b49","observation_id":"b350d979-c6ca-4585-8061-bbd6e7759b20","resolution":{"observed_at":"2026-07-05T07:40:47.866153Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.818465Z","title":null,"venue":null,"work_id":"8d9b5237-9fc7-4e02-8bfc-58c65e1712ac","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:b786bf3f67375bb1f867c1a4457bb49b24899f7e82eaac2d21d68edee53914df","observation_id":"8efacd1e-c3fd-4aec-aafa-ae00da40f44f","resolution":{"observed_at":"2026-07-05T07:40:47.819682Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.829452Z","title":null,"venue":null,"work_id":"a9907780-1b5f-43b7-a739-e4bc25640c75","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:7332287fcf87d52c14f24966fd43c9f292cb45797f001cab4e73532520b12aee","observation_id":"b146faa7-b0cc-4e76-8af9-e3b9aa9af01f","resolution":{"observed_at":"2026-07-05T07:40:47.830698Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.820182Z","title":"Diagnosis:","venue":null,"work_id":"d85244d1-eddf-4423-b07c-b8b803a7013a","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:8c5d62c13284b56355225e49f0abcae8056812b27c4129032890424c72cc6b09","observation_id":"844a2475-945c-4c85-a0e9-9a5d89910ce9","resolution":{"observed_at":"2026-07-05T07:40:47.821171Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.859785Z","title":null,"venue":null,"work_id":"0477d872-ebd4-4d63-9582-6e45f8807bb5","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:9386dee7be6750a48b60a7c4adf549835ba7923ccc9b0c44d65c4cb0185e12c0","observation_id":"950c1dab-1fb8-48c6-b6d2-4839f847b74e","resolution":{"observed_at":"2026-07-05T07:40:47.862078Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.835973Z","title":null,"venue":null,"work_id":"1ecdc4db-67a2-434d-b03d-e11d6f627f38","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:4925d716cd64ea6c25f117024307ff66bc3c63433de3d2bf5dfea313a56548c1","observation_id":"67a3af1e-6ad1-475e-8790-f726b2c7fbbe","resolution":{"observed_at":"2026-07-05T07:40:47.836933Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.808519Z","title":null,"venue":null,"work_id":"646d9bb1-c56b-4073-bc5f-3027a2480cfc","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:13165dc4fc422759ff44313842f1e38239ea815425022fddc97faa2a63420cf0","observation_id":"a6e33e21-1cd9-4af7-9226-868b22700d76","resolution":{"observed_at":"2026-07-05T07:40:47.809493Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.853232Z","title":null,"venue":null,"work_id":"b2c71ca1-a12b-4507-84e9-fb3ca5c8ad11","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:ac2887cbde4738f407b1f73ccbb243ee2b24b075e0cd5d98294f79d572160bc7","observation_id":"25d239a8-2012-44fa-8362-11f98fd176b4","resolution":{"observed_at":"2026-07-05T07:40:47.854199Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.777050Z","title":null,"venue":null,"work_id":"2f2f3667-6423-4e50-bb69-e8a0d366c0ed","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:3ee71726ddb5f47869afec31f85c113c0b2d21c4af28c9dd146251ca5ab0fd7a","observation_id":"bf714cc9-0ba8-432f-89f6-68e73c5555d6","resolution":{"observed_at":"2026-07-05T07:40:47.778323Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.827050Z","title":"2 : The detailed prompt template used in MMIR- TCM","venue":null,"work_id":"8fd2a80d-84c4-45ae-a9e2-219524140b7d","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:e03b9f313d45b0dfac8bab49741ea5fd11f8566eab5411b7752a57cb33625452","observation_id":"23392ee2-7aa4-4124-a70f-7f0e58e09bc7","resolution":{"observed_at":"2026-07-05T07:40:47.828231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.802670Z","title":null,"venue":null,"work_id":"24041559-cfa0-4c6c-9122-9a3cadfd691f","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:8081e9391e43e69c23306e895b41e2dd0aa5766ad104414d94fbbe0337634231","observation_id":"db845fc7-7286-4a13-8f0f-8f57437b99ba","resolution":{"observed_at":"2026-07-05T07:40:47.804331Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.770391Z","title":null,"venue":null,"work_id":"8c8b2d9e-40d1-4281-bbc2-29618eb027bd","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:0a4fc76c0b2918f3e4f504e3cb11d2414be91a0b9dfd9976efb7b56a2433b1e4","observation_id":"ade9a63c-3caa-489e-a4fe-ce488e7ef669","resolution":{"observed_at":"2026-07-05T07:40:47.771473Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.857909Z","title":"Input images are resized to 768× 768 pixels","venue":null,"work_id":"99c8d0f9-dae6-4cfe-8930-6654325caba1","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:2e6657ab0e540a36040fd95a19404e02a3a1455952769859842e3ba9c3816c70","observation_id":"1f878a0d-7dec-42e7-898d-99a25ff92c37","resolution":{"observed_at":"2026-07-05T07:40:47.859020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.892577Z","title":"The case bank is built from 124,593 anonymized patient records collected from four major TCM hospitals","venue":null,"work_id":"1fda5836-adab-4907-9828-03040118e885","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:cfc78d3cde174ad7f903de25a201056465e1438e5435f46cf176fc4628b7d072","observation_id":"931366ac-73ca-43ab-b2cd-2b1dfe3a3110","resolution":{"observed_at":"2026-07-05T07:40:47.893971Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.781217Z","title":null,"venue":null,"work_id":"139b415a-bfe5-4da0-a706-96b9c829aea2","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:449172b2199a40d398f197868ef0ae22e4299545b7237d8571b547ffb4b13a8d","observation_id":"967bc1c0-a987-4c69-adf4-5e326b10d661","resolution":{"observed_at":"2026-07-05T07:40:47.782229Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.792135Z","title":null,"venue":null,"work_id":"677a70c1-6186-4c13-80b9-dda566de9256","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:f23ea1be9c04c3ae34002808d4d6eed6301cb6155915674e56b126ef93efe10d","observation_id":"2da108d7-585c-48aa-b210-d5a935afbbf0","resolution":{"observed_at":"2026-07-05T07:40:47.793137Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.868896Z","title":"This indexing strategy ensures both retrieval accuracy and computational efficiency, critical for real-time clinical decision support applications","venue":null,"work_id":"d44f78d1-fce5-4423-8a11-fcc5b2dd3e6e","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:64a2d471e282e5d2b4818752725502a8d49d3a8315bd2c5928271a1a33f60979","observation_id":"3c5cf016-add0-4245-a344-5ff274423365","resolution":{"observed_at":"2026-07-05T07:40:47.870321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.839078Z","title":"The retrieval module then identifies the k most clinically relevant cases using cosine similarity: R = Retrieve(q, k) = {C1, C2,","venue":null,"work_id":"501c6a1f-0123-4c52-8766-83195a4cc6ee","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:5114b67f8c8ada9b3ed3b7242a95f507868a40a75289e05cd928ea0562c78e67","observation_id":"71ebe954-bbff-4d45-9610-98416742b0e5","resolution":{"observed_at":"2026-07-05T07:40:47.840802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.888539Z","title":"Following the prompt shown in Fig","venue":null,"work_id":"296cd92a-3cda-484b-a43c-b966f9379c0b","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:43647addde7bf93c6cf90e2c68b3f46c1fba91e75434deddbee5b0cf53382ff7","observation_id":"6bb9b9d9-1c02-49ac-96d2-2dd05f9397e6","resolution":{"observed_at":"2026-07-05T07:40:47.889790Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.832717Z","title":null,"venue":null,"work_id":"450a747e-8140-44b3-9374-edbdd4807b34","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:f967c9366b6ef2263650e988c8ee649eb50cf59aeb5aef9075875036557cb1a0","observation_id":"54731359-07a2-4706-a675-ee0ce5d4995a","resolution":{"observed_at":"2026-07-05T07:40:47.833623Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.834206Z","title":"Each token follows the format PREFIX_V ALUE (e.g., COLOR_red, THICK_thin)","venue":null,"work_id":"8ad7a2be-d620-4a2d-9a72-5cb0d35113e8","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:db11adb11925addc6b57fb0222120c831504f6187602475ff1334f4bddf328b8","observation_id":"5b9f2684-16ba-4841-9cbf-80a4ff7bfa13","resolution":{"observed_at":"2026-07-05T07:40:47.835283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.846304Z","title":"Through consultation with senior TCM practitioners, we let wTONGUE=2.0, wCOAT=1.5, wLOCATION=1.0, and wOTHER=0.5","venue":null,"work_id":"21f4a444-9768-4766-87c4-39b7570a33dc","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:2a49d45a292d6bcea461d99d4688a2fe3ff453f3d964b5537e3fe2de6f57fa1d","observation_id":"2a072864-e63a-4d86-8076-8bd09407f0bb","resolution":{"observed_at":"2026-07-05T07:40:47.847544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.856327Z","title":"4, was structured around a primary institution leading data standardization, complemented by three partner hospitals contributing di- verse clinical cases","venue":null,"work_id":"bb035e4a-271a-4a9d-b41f-a35ebe4e9de6","year":2021},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:868d88c1113d11d7049916ec3f54a8b616415c19708722ac538c0514cba7275f","observation_id":"920625a0-55a0-4020-9199-ba45e6e4d993","resolution":{"observed_at":"2026-07-05T07:40:47.857444Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.879310Z","title":"few-annotation","venue":null,"work_id":"da0e08c9-6a37-4924-978a-ed434243ffb7","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:aeeb4c95265693e6a26739f280ed495175f9ee1a39b5138f63932b38dc9c7ed8","observation_id":"7d075355-29c2-4b94-9a40-29f94d2ea7d1","resolution":{"observed_at":"2026-07-05T07:40:47.880260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.866866Z","title":null,"venue":null,"work_id":"6764b862-0a50-427e-96ef-d6a1d9d7f82a","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:639fb82087d9a2b1b7225e4ec910f700dd667854e70970e1acfbb44331254c2e","observation_id":"6a6e8470-5104-4054-b32c-8b866d7e3e2e","resolution":{"observed_at":"2026-07-05T07:40:47.868209Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.854683Z","title":"LoRA adapters are inserted into the linear layers of both the self-attention modules ( q, k, v, o) and the feed-forward modules (gate, up, down)","venue":null,"work_id":"679c5b8c-f63d-4382-a899-c72e3d5d0728","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:5701311e28169976a1597c2e4093aa49ae5f11645a05adbba9c4ef1913736fc8","observation_id":"9a638a39-f200-40f8-82ce-3eb1f9300daf","resolution":{"observed_at":"2026-07-05T07:40:47.855853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.875928Z","title":"We systematically re- moved specific modules from the full model and evaluated the performance degradation","venue":null,"work_id":"1f61326a-ab8b-4302-ae1b-e1bf0994aba7","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:b58890afaed9697554b1d1f249a0af5e42807c3bf5fd48782e2d45f4ed730c17","observation_id":"62c3c539-b414-4e18-8820-64731284f2c7","resolution":{"observed_at":"2026-07-05T07:40:47.877047Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.872542Z","title":"Outputs were scored from 1 to 5 on five dimensions: Acc_SN, Acc_Diag, Validity, Safety, and Rationality","venue":null,"work_id":"9cfe02fd-9f80-415d-9e81-af63cd56de01","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:35c39ca17a6d66d9f754900acea9d786176559de6c6db6c069fbf449f7073a84","observation_id":"54529e2a-b728-4982-8b49-dc499defe330","resolution":{"observed_at":"2026-07-05T07:40:47.873774Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.882650Z","title":"hallucinations","venue":null,"work_id":"db3fea35-1016-4283-9924-cfaeb7d367d5","year":null},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:4195056e9d95000ba7bf5f8a47701f14ae7ed655806d6b417a35529a9e26dcca","observation_id":"184e56e0-dc4a-4d9e-a6c6-97fa53c0259e","resolution":{"observed_at":"2026-07-05T07:40:47.883601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.894597Z","title":"Vision-language foundation models for medical imaging: a review of current practices and innovations,","venue":null,"work_id":"4718de48-b3ce-46e0-b822-dfb18a761e8c","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:efc0498d0e7d65761969a1e29e05a3be5655522db923a73420d7b848f03e2abd","observation_id":"8b642c7e-193b-4067-8d52-c42273db04f2","resolution":{"observed_at":"2026-07-05T07:40:47.896099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.870808Z","title":"Tongue diagnosis indices for gas- troesophageal reflux disease: a cross-sectional, case-controlled observational study,","venue":null,"work_id":"2968df18-98c0-404e-9063-7b23bc25b36b","year":2020},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:bf60d17c59ce81698c1f82f26cbabe09cebb252437daa070cb0a4035c97f3952","observation_id":"eeae8f2e-5a77-4ff5-873f-5ff061d52235","resolution":{"observed_at":"2026-07-05T07:40:47.872042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.880869Z","title":"Objective evaluation of tongue diagnosis ability using a tongue diagnosis e-learning/e-assessment system based on a standardized tongue image database,","venue":null,"work_id":"95c16e3b-beb5-4d20-ba02-a28f07732514","year":2023},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:8d444f7640380584aa93182f7b007f426565107b429f0a5278aadb717900bb44","observation_id":"ae6ae5a5-95fc-4ac7-b826-571c5596ba9a","resolution":{"observed_at":"2026-07-05T07:40:47.882082Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.863042Z","title":"A systematic literature review and classification of knowledge discovery in traditional medicine,","venue":null,"work_id":"c0d77ce6-d2c8-41a5-9810-8c429fd18253","year":2019},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:88a9aec3340953c6c98eaefca544c81daa95e2e775b8416ad2261e6ead018193","observation_id":"7a6482ce-4298-4103-a940-4225b649cb9b","resolution":{"observed_at":"2026-07-05T07:40:47.864395Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.890437Z","title":"A survey of artificial intelligence in tongue image for disease diagnosis and syndrome differentiation,","venue":null,"work_id":"83787b21-ec03-4c77-8743-0c437dc360ce","year":2023},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:0fdb6c87637cf015562383896622ac7cafac6ce59d523228ee6a2263ffa995b7","observation_id":"505c6983-4493-4435-b12a-d3de61e37dc6","resolution":{"observed_at":"2026-07-05T07:40:47.891918Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.837399Z","title":"Pregenerator: Tcm prescription recommendation model based on retrieval and generation method,","venue":null,"work_id":"3da74a8f-6c7c-4b9a-a12a-ce56fce65d03","year":2023},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:3a3fbe998b6e2149f224b17bdd76dc32706231bba55a413786ee671eaae02cd0","observation_id":"17fcf7ec-6326-4d91-b2f6-8fc2dbe048d3","resolution":{"observed_at":"2026-07-05T07:40:47.838513Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.821814Z","title":"Large language models in traditional chinese medicine: A short survey and outlook,","venue":null,"work_id":"8d8dcce0-8f96-4672-aa52-97ce75f6795a","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:a3c0aad9722f2aab3bd1a761c864fe08eea5008b5c77e76517d40d4f6c177ea0","observation_id":"19264872-3812-477b-8385-25094bfd8be1","resolution":{"observed_at":"2026-07-05T07:40:47.822956Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.800000Z","title":"Clinicalrag: enhancing clinical decision support through heterogeneous knowledge retrieval,","venue":null,"work_id":"d8f82c5d-6c0e-48b8-839c-b192a1b23670","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:93c1637b05ed341ac2712fee3a1c092220dff1bf978ff5731efd93b0275bae6a","observation_id":"8fa4f6b3-ede6-4e9d-8b3f-cfae5b91a40d","resolution":{"observed_at":"2026-07-05T07:40:47.801683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.797459Z","title":"Tcmchat: A generative large language model for traditional chinese medicine,","venue":null,"work_id":"28978dd5-14c8-4403-b32b-9a165892b268","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:eaa9408b509524b2d62db698e9fc44d7f9c4e139554ca02d7eec6e211890a81f","observation_id":"a5db42e9-6e05-4dc5-9c60-3dbae9e95ec4","resolution":{"observed_at":"2026-07-05T07:40:47.799418Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01126","last_updated":"2024-06-03T09:11:13Z","snapshot_observed_at":"2026-08-16T13:46:50.262833Z","submitted_at":"2024-06-03T09:11:13Z","title":"TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine","version":1},"cited_work":{"arxiv_id":"2406.01126","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01126","snapshot_observed_at":"2026-07-03T13:48:20.566002Z","title":"Tcmbench: A comprehensive benchmark for evaluating large language models in traditional chinese medicine,","venue":null,"work_id":"4ba7a36d-1683-41f0-85e2-1ba348dc8db2","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2406.01126","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:feefe3fcf14a752f667f71886a4a60b8e2e88343400d961a270e434b5291e52e","observation_id":"10c50992-1f9c-4324-8bd4-cf47a3b11d42","resolution":{"observed_at":"2026-07-03T13:48:20.567456Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04941","last_updated":"2024-06-07T13:48:15Z","snapshot_observed_at":"2026-08-16T13:45:08.763727Z","submitted_at":"2024-06-07T13:48:15Z","title":"TCMD: A Traditional Chinese Medicine QA Dataset for Evaluating Large Language Models","version":1},"cited_work":{"arxiv_id":"2406.04941","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.04941","snapshot_observed_at":"2026-07-03T13:48:20.560383Z","title":"Tcmd: A traditional chinese medicine qa dataset for evaluating large language models,","venue":null,"work_id":"9ef87569-976b-4bb5-aa7e-7b9842381f07","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2406.04941","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:4b183f8140273fc653d319e6565ca7193cb77db8d5cf845dd1ff2615c17b293c","observation_id":"7e63e6dc-4675-42b4-a602-bebb183798f3","resolution":{"observed_at":"2026-07-03T13:48:20.561945Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.825074Z","title":"Biancang: a tradi- tional chinese medicine large language model,","venue":null,"work_id":"e2553b8b-3353-45a1-87bf-5b71cf616e47","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:d4d8479152451e7ec4f6f60df217826111da5762955d63cbae44586cfb2be7d0","observation_id":"a91bab50-0a85-4186-b47e-6b1df809936d","resolution":{"observed_at":"2026-07-05T07:40:47.826495Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.849931Z","title":"Tcm-ftp: fine-tuning large language models for herbal prescription prediction,","venue":null,"work_id":"f9e78f41-5b06-4a78-9c16-961d09bb5f87","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:e9788f3b7c286b69626a734ec78c4644ac5acffb7948bb09dd801ffd3c3ca264","observation_id":"25eeb2c2-2891-4d2c-be27-b65388aa67c1","resolution":{"observed_at":"2026-07-05T07:40:47.851122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.788489Z","title":"Tcm-kllama: Intelligent generation model for traditional chinese medicine prescriptions based on knowledge graph and large language model,","venue":null,"work_id":"e6b90fff-18f7-461f-881f-64c1d336222d","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:7cef15f8ff2f64c25cf4fea1b8749268de08012cb5bbe9536651fa827592e8ef","observation_id":"41ed0d8f-9ce0-46d5-81b8-30ee7af40bd0","resolution":{"observed_at":"2026-07-05T07:40:47.789814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.775284Z","title":"Tonguenet: accurate localization and segmentation for tongue images using deep neural net- works,","venue":null,"work_id":"3a5def72-01ea-4646-b1ea-e10bff9b8dc3","year":2019},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:81705b850d3989c6f80e792804601780a3d7e303345bd736120b17dca39d40bf","observation_id":"5b8107b7-275d-495e-86eb-7aae4ce6359b","resolution":{"observed_at":"2026-07-05T07:40:47.776493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.786783Z","title":"Cross-modal attention model integrating tongue images and descriptions: a novel intelligent tcm approach for pathological organ diagnosis,","venue":null,"work_id":"46bc2c51-1f2f-4ba6-8976-6b2ad051368b","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:db4f6d74e7f93ddf98e8f3ee1e2e90c68f569d29de9a049e56854e6b036bcaf4","observation_id":"03bc59ed-6f00-49fc-a2b9-5585c0ef0621","resolution":{"observed_at":"2026-07-05T07:40:47.787974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.18288","last_updated":"2025-07-24T10:49:31Z","snapshot_observed_at":"2026-08-15T18:13:26.328508Z","submitted_at":"2025-07-24T10:49:31Z","title":"TCM-Tongue: A Standardized Tongue Image Dataset with Pathological Annotations for AI-Assisted TCM Diagnosis","version":1},"cited_work":{"arxiv_id":"2507.18288","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.18288","snapshot_observed_at":"2026-07-03T13:48:20.541893Z","title":"Tcm-tongue: A standardized tongue image dataset with pathological annotations for ai- assisted tcm diagnosis,","venue":null,"work_id":"7c8cd7e7-64ce-4fce-964e-81539e599d11","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2507.18288","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:8cf7f891769e2b54321ffabaa3f499d84b98fb9755557f743402df78db0a9fa7","observation_id":"bdc7c796-2fcb-44f5-be14-3c07c09d83fb","resolution":{"observed_at":"2026-07-03T13:48:20.543400Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.784863Z","title":"Tcmeval-sdt: a benchmark dataset for syndrome differentiation thought of traditional chinese medicine,","venue":null,"work_id":"0231fa07-2674-488d-9421-3b28db267e40","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:5c5686ade682c5f044fc19b781801a0f19d473e8776450f2b1bed3b0ebf66a6e","observation_id":"6ca6cd3c-c6dc-4b68-8b24-58f670b99cac","resolution":{"observed_at":"2026-07-05T07:40:47.786140Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.782858Z","title":"Automatic tongue image quality assessment using a multi-task deep learning model,","venue":null,"work_id":"99dd5076-daea-4fd8-8247-b85eb757f6fd","year":2022},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:618bbfee307de3f5613d7140409e3b4e392dcad4a9d37632fa4c0704fea4ef3c","observation_id":"684cd8b4-20df-4b03-b08e-20285ea8d3cf","resolution":{"observed_at":"2026-07-05T07:40:47.784282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.848063Z","title":"Tongue crack recognition using segmentation based deep learning,","venue":null,"work_id":"65f4a8c1-d8e8-44a4-b81a-07e63a2fc88f","year":2023},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:1310e8bd7795540bf39b46cd012e11784817306a653774aadb6c19c750918014","observation_id":"d4ca853b-84bd-4a46-b01c-695d3228c84e","resolution":{"observed_at":"2026-07-05T07:40:47.849343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.851622Z","title":"A novel tongue coating segmentation method based on improved transunet,","venue":null,"work_id":"39f893ce-508d-4a7b-ab22-92dd0b8a73de","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:90ecc008adfe9856ecd1c163707ce6e3ae751b8f253ce3423445f28ea2f78de5","observation_id":"895937fe-fc65-4ea5-b528-2f18a3d24d4b","resolution":{"observed_at":"2026-07-05T07:40:47.852736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.884171Z","title":"Tonguesam: An universal tongue segmentation model based on sam with zero-shot,","venue":null,"work_id":"a4d95ec0-c530-4156-9025-fd58815ef1fc","year":2023},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:9fb6741497c52d94e65d17f920fda136fd692ffbcf5cab744ae5f0a68d613267","observation_id":"8cd3242f-8feb-47f7-9011-b6d398e54cb7","resolution":{"observed_at":"2026-07-05T07:40:47.885830Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.10997","last_updated":"2024-03-27T09:16:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-18T07:47:33Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","version":5},"cited_work":{"arxiv_id":"2312.10997","doi":"10.1186/1476-072x-8-72","metadata_source":"pith","pith_arxiv_id":"2312.10997","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Retrieval-Augmented Generation for Large Language Models: A Survey","venue":"cs.CL","work_id":"b80d2790-6cd9-4c87-b3c4-de404f99a80e","year":2023},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2312.10997","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:e8cdd3eac3fcb9e6d7ac202dc3510d76f5d5f1ab710cc3e96e98ab1faaf34357","observation_id":"3c7001a1-a57d-472a-b691-bda92a144f83","resolution":{"observed_at":"2026-07-03T13:48:20.545743Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.841596Z","title":"Lins: A general medical q&a framework for enhancing the quality and credibility of llm- generated responses,","venue":null,"work_id":"b3fb1f72-e072-469f-931d-424b82bcf09e","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:790d5cdde5f8382073d055d4ab3d1f7b1bb6fc126727e0cc106a46d730b31f89","observation_id":"059546bc-27ce-456b-91b2-d186b93995b8","resolution":{"observed_at":"2026-07-05T07:40:47.843399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.20118","last_updated":"2025-06-27T04:01:12Z","snapshot_observed_at":"2026-08-17T08:43:51.632095Z","submitted_at":"2025-04-28T08:04:44Z","title":"OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis","version":4},"cited_work":{"arxiv_id":"2504.20118","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2504.20118","snapshot_observed_at":"2026-07-03T13:48:20.546457Z","title":"Opentcm: a graphrag-empowered llm-based system for traditional chinese medicine knowledge retrieval and diagnosis,","venue":null,"work_id":"a205e74d-7b56-405c-831a-c68b16357b70","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2504.20118","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:a3fcbd406b385e372a008cf8bbd56a510cf2de111f34578fb37a58a9cd22900f","observation_id":"9bf23e09-d97e-4f31-87d9-7eb7f24565c0","resolution":{"observed_at":"2026-07-03T13:48:20.548001Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.790422Z","title":"Evaluating large language model workflows in clinical decision support for triage and referral and diagnosis,","venue":null,"work_id":"4b07e964-3352-49ed-9758-04c69cb879c3","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:ace77831da36d6cdb12013e6abeb19568f921e0d8b7c6e3d8e7ef4fec1e09ff7","observation_id":"b2c56e33-c4d3-4852-855e-5789d679c6b4","resolution":{"observed_at":"2026-07-05T07:40:47.791597Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.795253Z","title":null,"venue":null,"work_id":"0a6380bb-854e-49d5-9d48-8a3e66e7cf71","year":2011},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:8ac013dc3f60d9251101161aeda5e2fabfa3f4b641a40ed11142a42c2b25d241","observation_id":"7557d7b6-5bae-457d-bda0-0942e7bdf9f4","resolution":{"observed_at":"2026-07-05T07:40:47.796196Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.877595Z","title":"Enhancing large language models for clinical decision support by incorporating clinical practice guidelines,","venue":null,"work_id":"6eebc66f-5cef-4263-820c-f05960966c5b","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:fdef1d191cc3f2dc22b083809330b96fd91e53379e8a09e82f17c284d0fbfb1f","observation_id":"6c006726-2fac-43a9-ab1d-956bfa996386","resolution":{"observed_at":"2026-07-05T07:40:47.878773Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.01252","last_updated":"2025-06-02T02:01:40Z","snapshot_observed_at":"2026-08-18T14:35:47.158614Z","submitted_at":"2025-06-02T02:01:40Z","title":"MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine","version":1},"cited_work":{"arxiv_id":"2506.01252","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.01252","snapshot_observed_at":"2026-07-03T13:48:20.560141Z","title":"Mtcmb: A multi-task bench- mark framework for evaluating llms on knowledge, reasoning, and safety in traditional chinese medicine,","venue":null,"work_id":"b10efead-d119-41bd-a08e-1ddcfc2d1d6f","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2506.01252","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:0b9d5fc11b8d138b1a935054ff93174b30c31b18e13178d3a83bd3c344b08ff4","observation_id":"ce6bc47e-54aa-4b8a-aaf8-3146114f9110","resolution":{"observed_at":"2026-07-03T13:48:20.561764Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2505.24063","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-03T13:48:20.535779Z","title":"Tcm-ladder: A benchmark for multimodal question answering on traditional chinese medicine,","venue":null,"work_id":"773df0ff-12f2-4e62-a853-4df02e9d7ded","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:030353e7374afe31c5348138dc98c25e71694cdafd234a2dc487498301e49b32","observation_id":"a241ddcc-6b99-4ea0-bf92-86cdbf779906","resolution":{"observed_at":"2026-07-03T13:48:20.537326Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.823443Z","title":"Ragas: Automated evaluation of retrieval augmented generation,","venue":null,"work_id":"b9915d43-92dc-435e-8c87-245b8219aba3","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:c881b3fdf2dc0a5f34c9cbd7bd1f5065b9b59a097f1933000e2182aaf4739375","observation_id":"bf490cd7-6d99-42d1-871b-5223cb1065a8","resolution":{"observed_at":"2026-07-05T07:40:47.824528Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.06595","last_updated":"2025-01-30T17:34:51Z","snapshot_observed_at":"2026-08-16T13:19:43.124333Z","submitted_at":"2024-09-10T15:39:32Z","title":"GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question Answering","version":3},"cited_work":{"arxiv_id":"2409.06595","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.06595","snapshot_observed_at":"2026-07-03T13:48:20.563018Z","title":"Grouse: A benchmark to evaluate evaluators in grounded question answering,","venue":null,"work_id":"2cecdf5f-fe45-4e64-b01f-132f90993ddf","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2409.06595","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:b06aadf7c85dc9d2767b56409cbcc71effd50cac61427c6390fa18faae2c1e70","observation_id":"bcb22a6a-4421-4b4c-b979-55b37a1d1c38","resolution":{"observed_at":"2026-07-03T13:48:20.564694Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.06605","last_updated":"2025-06-07T00:46:18Z","snapshot_observed_at":"2026-08-14T13:05:49.310082Z","submitted_at":"2025-06-07T00:46:18Z","title":"MedCite: Can Language Models Generate Verifiable Text for Medicine?","version":1},"cited_work":{"arxiv_id":"2506.06605","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.06605","snapshot_observed_at":"2026-07-03T13:48:20.527453Z","title":"Medcite: Can language models generate verifiable text for medicine?","venue":null,"work_id":"7eb53427-06be-4b8c-98d2-d969267d23b5","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2506.06605","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:4f6a4e3a22246e4192f1faa8e221d1105d611ad956b92dd1ab71608cd3b88796","observation_id":"b2d61e52-b46e-4ba8-b546-baf593f00d51","resolution":{"observed_at":"2026-07-03T13:48:20.528978Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.18279","last_updated":"2024-07-03T14:59:57Z","snapshot_observed_at":"2026-08-16T13:57:10.530984Z","submitted_at":"2024-04-28T18:51:32Z","title":"Out-of-distribution Detection in Medical Image Analysis: A survey","version":2},"cited_work":{"arxiv_id":"2404.18279","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.18279","snapshot_observed_at":"2026-07-04T20:00:08.323207Z","title":"Out-of-distribution detection in medical image analysis: A survey","venue":null,"work_id":"54e0ef56-d345-4dc1-8bb2-de089ed7eeaf","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2404.18279","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:f0efd0d08f15a410098df2e484e879e01da0df31e0c510f3045e486493ac9327","observation_id":"d468a5be-57c1-4182-a2f1-822e05d9b946","resolution":{"observed_at":"2026-07-03T13:48:20.545376Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.814712Z","title":"A scoping review of robustness con- cepts for machine learning in healthcare,","venue":null,"work_id":"fa403cb9-22b6-49ff-b117-4a3ecce7f51a","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:a9473f2e2ccb90a71dbbd605ed6f0476979b97712985ba0a0071865ce941d5a7","observation_id":"5163cb1e-1c58-4aba-b9ec-b27dd4855f2b","resolution":{"observed_at":"2026-07-05T07:40:47.816018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.793618Z","title":"Trustworthy clinical ai solutions: A unified review of uncer- tainty quantification in deep learning models for medical image analysis","venue":null,"work_id":"6a11086c-5d40-47ba-9490-c3b9262a59aa","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:e4d9beaba3a16644b77e6205bbb40cd03b27c7ef20ff4b313335ea88ced3619b","observation_id":"6b2005a7-a1f2-4022-abcf-3ddb367b0578","resolution":{"observed_at":"2026-07-05T07:40:47.794754Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.886502Z","title":"Empirical validation of conformal prediction for trustworthy skin lesions classification,","venue":null,"work_id":"edb916f1-3504-4b39-ac70-e34340e3ac5e","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:2b388159184189d5ac8d0e84ae1bf5caee87558a5f2bc518766955c6c2c68f70","observation_id":"b2da3169-4f7b-4264-82fa-eaaff236f74a","resolution":{"observed_at":"2026-07-05T07:40:47.887812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.779006Z","title":"Explaining the black-box smoothly—a counterfactual approach,","venue":null,"work_id":"fd881e46-9666-478a-94cd-5e164c5c4984","year":2023},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:0938646356b9aa40fa7dff0b8081c48dbfc515465db008166b9963b7a0433484","observation_id":"44c19813-43f2-4c3a-9296-e2abe3c926d8","resolution":{"observed_at":"2026-07-05T07:40:47.780358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.00218","last_updated":"2024-07-20T19:14:03Z","snapshot_observed_at":"2026-08-16T13:56:26.706697Z","submitted_at":"2024-04-30T21:52:19Z","title":"Constrained Decoding for Secure Code Generation","version":3},"cited_work":{"arxiv_id":"2405.00218","doi":"10.48550/arxiv.2405.00218","metadata_source":"pith","pith_arxiv_id":"2405.00218","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"URLhttps://openreview.net/forum?id=cbttLtO94Q","venue":"cs.CR","work_id":"957f9342-c3c1-42a3-b16a-00dc2b981f7f","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2405.00218","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:e1cfe890c16fd8416bbc6569e46ced61f5004687bd518dc78551e529679a6fba","observation_id":"fb21d66b-d28e-46af-a8cb-4f998f3083ae","resolution":{"observed_at":"2026-07-03T13:48:20.555898Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.805033Z","title":"A framework to assess clinical safety and hallucination rates of llms for medical text summari- sation,","venue":null,"work_id":"3d707793-24a7-4fd4-9fdc-58afb8710b16","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:fe866fab314008362c6eb6850424bb89a424f159c753e470631d03bd9e3ed532","observation_id":"77f7894d-e6d1-436e-bb59-4893888ce272","resolution":{"observed_at":"2026-07-05T07:40:47.806159Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.771933Z","title":"A framework for human evaluation of large language models in healthcare derived from literature review,","venue":null,"work_id":"fc4d102c-5560-42d2-8692-cdf7044b59b8","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:88187d68b0baa46f00767004a4d457a6ffcc1b5e26be8fec6bf17ee31ce6b2ee","observation_id":"720bb4ee-1dcc-4485-9e9e-86e0877896ce","resolution":{"observed_at":"2026-07-05T07:40:47.774387Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00714","last_updated":"2024-10-28T16:37:57Z","snapshot_observed_at":"2026-07-06T18:55:41.459417Z","submitted_at":"2024-08-01T17:00:08Z","title":"SAM 2: Segment Anything in Images and Videos","version":2},"cited_work":{"arxiv_id":"2408.00714","doi":"10.1038/s41598-025-97590-3","metadata_source":"pith","pith_arxiv_id":"2408.00714","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"SAM 2: Segment Anything in Images and Videos","venue":"cs.CV","work_id":"acc13f66-d814-44f9-9688-375688bf2d4a","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2408.00714","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:2e227b18b572d96c79ed3c523279b9681662c060720f601c372311ec56135909","observation_id":"6a8f056c-c401-4e41-ae74-b6a7c96280cd","resolution":{"observed_at":"2026-07-03T13:48:20.553871Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-05-24T04:24:23.885301+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-24T04:24:23.885301+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2510.15849","last_updated":"2026-07-10T12:14:23Z","snapshot_observed_at":"2026-08-17T16:31:41.783732Z","submitted_at":"2025-10-17T17:42:28Z","title":"Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt","version":3},"cited_work":{"arxiv_id":"2510.15849","doi":null,"metadata_source":"pith","pith_arxiv_id":"2510.15849","snapshot_observed_at":"2026-07-03T13:48:20.533306Z","title":"Memory-SAM: Human-Prompt-Free Tongue Segmentation via Retrieval-to-Prompt","venue":"cs.CV","work_id":"6c22f466-f1a9-4bb7-92ed-89e6a27a0e6f","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2510.15849","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:00ea51bb9850629d630fb81f8c4632cfa32e7fdf40a83fed8de76a49d3e74531","observation_id":"191b6669-e70b-43c2-930d-fc5d584af274","resolution":{"observed_at":"2026-07-03T13:48:20.534632Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10104","last_updated":"2025-08-13T18:00:55Z","snapshot_observed_at":"2026-08-18T01:07:23.737664Z","submitted_at":"2025-08-13T18:00:55Z","title":"DINOv3","version":1},"cited_work":{"arxiv_id":"2508.10104","doi":"10.1055/a-2487-1252","metadata_source":"pith","pith_arxiv_id":"2508.10104","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"DINOv3","venue":"cs.CV","work_id":"c8b07deb-8fe7-4e18-9620-f3569d3529ce","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2508.10104","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:8246360c237a67c1568de28779660a7f46e9c735d700bba6b0386a079ee11629","observation_id":"fa985193-f849-440b-8a23-647e15cdfd93","resolution":{"observed_at":"2026-07-03T13:48:20.553163Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.831201Z","title":"The faiss library,","venue":null,"work_id":"6d91c616-c893-4a04-b2cd-0657fa1692d5","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:4de048de4afe8c1fea8f937a1c939d7485bbbe05228af1179a08ec347c2006f9","observation_id":"96098364-f9e6-4466-bcea-12642b4f850d","resolution":{"observed_at":"2026-07-05T07:40:47.832219Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09388","last_updated":"2025-05-14T13:41:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-05-14T13:41:34Z","title":"Qwen3 Technical Report","version":1},"cited_work":{"arxiv_id":"2505.09388","doi":"10.1016/j.aiopen.2022.12","metadata_source":"pith","pith_arxiv_id":"2505.09388","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Qwen3 Technical Report","venue":"cs.CL","work_id":"25a4e30c-1232-48e7-9925-02fa12ba7c9e","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"cited_paper":"/paper/2505.09388","citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:30fec2fd42b832406d0391688d3020e6c13685c941ede6d7dd8827b7313fb33e","observation_id":"1cd56966-e786-4946-8651-577666aee229","resolution":{"observed_at":"2026-07-03T13:48:20.556096Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.813020Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":"ac73144f-f3ac-4b8f-a9d0-dde42c53f9ee","year":2022},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:050c6ba70e78633cd4fa3cc171ed69482ee4c8e0422d7eff1187eb953a7d9329","observation_id":"c57520f8-9016-4fe2-a278-abdb04df23c3","resolution":{"observed_at":"2026-07-05T07:40:47.814102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.806708Z","title":"Efficient and robust ap- proximate nearest neighbor search using hierarchical navigable small world graphs,","venue":null,"work_id":"fdb71fe6-3214-43d9-842e-33ccd6f6148c","year":2018},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:8736a1dd71889337bb5151b40614885ac466fff7349d0411f87925f6304aebab","observation_id":"d76ed017-8627-4890-b3a7-e48e606b4aa2","resolution":{"observed_at":"2026-07-05T07:40:47.807806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.874294Z","title":"Diagnosing pathologic myopia by identifying morphologic patterns using ultra widefield images with deep learning,","venue":null,"work_id":"f4b05962-5eee-4644-beef-4d109b5d3198","year":2025},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:83716af14c5fdcf381073c9f2cef45e6f093115e1acf8f00e752fbd47fecbf41","observation_id":"3f85b8ea-6dcd-4284-ace3-314da37aef1a","resolution":{"observed_at":"2026-07-05T07:40:47.875416Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-07-05T07:40:47.843975Z","title":"Machine learning radiomics- based prediction of non-sentinel lymph node metastasis in chinese breast cancer patients with 1-2 positive sentinel lymph nodes: a multicenter study,","venue":null,"work_id":"1966b6ee-c6ab-4855-8b3d-64a0fff4a3b3","year":2024},"citing_paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-07-03T13:41:14.958420Z"},"links":{"citing_paper":"/paper/2607.01814"},"observation_digest":"sha256:7c0e4595d628d2ac928c37e13a519b5f98423045f6dfad2957d6662e4fdd5947","observation_id":"2c2b4141-430a-4e08-b507-c267b802fd3b","resolution":{"observed_at":"2026-07-05T07:40:47.845377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.01814","last_updated":"2026-07-02T07:30:19Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-15T20:00:10.552518Z","submitted_at":"2026-07-02T07:30:19Z","title":"MMIR-TCM: Memory-Integrated Multimodal Inference and Retrieval for TCM Clinical Decision Support"},"reference_resolution":{"displayed":82,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":17,"verified_exact":14,"verified_fuzzy":50},"total_outbound_references":82},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2607.01814."}