{"as_of":"2026-08-21T19:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:31b95aa767360abef1988d25e1cb54774f65a0cdafe94eb493d49a6acf3280c3","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-08T10:53:30.847851Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/2607.06309/citation-record","integrity":"/paper/2607.06309/integrity","json":"/paper/2607.06309/citation-record.json","paper":"/paper/2607.06309"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-07-08T10:54:49.563703Z","title":"Mammo-bench:Alarge-scalebenchmarkdatasetofmammographyimages,in:InternationalConference on Computational Advances in Bio and Medical Sciences, Springer","venue":null,"work_id":"980ace80-ed83-426f-b80e-165a93299847","year":2025},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:55ac8263f83440075aeaf9c618c537389cfd85a40f9443d0923a1e217a6c0b79","observation_id":"e6bf6766-ff16-487f-8ea1-98abe9f7fbb0","resolution":{"observed_at":"2026-07-08T10:54:49.566740Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.552481Z","title":"An online mammography database with biopsy confirmed types","venue":null,"work_id":"f6af378a-577e-404f-b52f-866176ee375d","year":2023},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:de2f4d82100a6e919f6105c2f2f878a3f577199899e7dcee19917f5ddcba2935","observation_id":"4c4f349c-8d2e-4984-92c8-8a136c9ef91a","resolution":{"observed_at":"2026-07-08T10:54:49.556874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.583554Z","title":"Convolutional networks and transformers for mammography classification: an experimental study","venue":null,"work_id":"71bb9a17-44e5-48bc-a706-d85aa4ef6a3c","year":2023},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:73b286470d89c5df317ac51da0d71e7bd9e0d107bef0e034b62294ceef0419a5","observation_id":"9bee8849-9908-4434-9de5-d4ac6e02b778","resolution":{"observed_at":"2026-07-08T10:54:49.585288Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.593828Z","title":"Adaptformer: Adapting vision transformers for scalable visual recognition","venue":null,"work_id":"8857ec47-90fc-4165-9e03-a3187005dd6a","year":null},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:81c96f98f573783c9ba2fe5e806b2f9590b99e86115e14cce83092d500aa91d3","observation_id":"da16932e-d147-4d52-8e0d-750d21861dd1","resolution":{"observed_at":"2026-07-08T10:54:49.595635Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.632497Z","title":null,"venue":null,"work_id":"336a66fa-d892-4577-882d-51240733f966","year":null},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:1d6ae873ccc742fa70a6666ea5219fe2a966cb4751d005f9c510f65258125b3f","observation_id":"d984440e-4a17-4752-a170-247390c218fb","resolution":{"observed_at":"2026-07-08T10:54:49.634187Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.627396Z","title":"Interpretable breast cancer identification by multi-view synergistic feature fusion interaction in dense breast tissue","venue":null,"work_id":"57241a93-290e-4357-b0f0-7da547f1166c","year":2026},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:0edfacd3639e8d6456a3ef588eca145632246c4abbc292a75aeadd25e6902341","observation_id":"16a1db87-ed12-4182-be58-e56d8aa5e74d","resolution":{"observed_at":"2026-07-08T10:54:49.629065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.560837Z","title":"Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance","venue":null,"work_id":"d8b139c0-7a67-42bf-8d97-abc1fdfb455f","year":2023},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:97ca1c5c434a41dde893abf151f797a34c062a971671c2130f18c9558f121458","observation_id":"1dce14ea-f669-46d7-b55a-2e254f3d529a","resolution":{"observed_at":"2026-07-08T10:54:49.562651Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.614052Z","title":"Lora: Low-rank adaptation of large language models","venue":null,"work_id":"d383aa56-6a11-4ef3-91cf-73bcbf50d1e7","year":2022},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:5ec8a8b43bfbd6d24b99e48313960207ec5f3cc97bf8efe9c8e231c61ef874a8","observation_id":"140c19c0-7558-4381-be03-5a8abc3447b5","resolution":{"observed_at":"2026-07-08T10:54:49.616287Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.606018Z","title":"Visual prompt tuning, in: European conference on computer vision, Springer","venue":null,"work_id":"de73afb6-6592-44b3-bfe4-98b025384892","year":2022},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:889f1b1704ad8578bb6412fd3f8ee84cceeac80d67186f0a32e76227ce21e15e","observation_id":"cb0a7a60-cb01-4ee4-8e1a-827b6228327b","resolution":{"observed_at":"2026-07-08T10:54:49.607806Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.624526Z","title":"Maple: Multi-modal prompt learning, in: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, pp","venue":null,"work_id":"141219c3-c1a7-400d-a92d-88a1d3cf5e46","year":2023},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:ed5c9f0fdaaaad3a503f27c4ce35d1a428cbb7e08e2da798cc92bbeeaf645ee7","observation_id":"cd7aac01-369d-4662-a850-bc3b9dfcf7a0","resolution":{"observed_at":"2026-07-08T10:54:49.626482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-08-17T19:26:44.032537Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":"1412.6980","doi":"10.1002/mrm.28086","metadata_source":"pith","pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Adam: A Method for Stochastic Optimization","venue":"cs.LG","work_id":"1910796d-9b52-4683-bf5c-de9632c1028b","year":2014},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:d10a5602e07cdcdedd02a3a1d2e7b59c2b645c64807068e3cce0c8f6605dfd85","observation_id":"1709d4dc-92d2-4f18-8f99-073167de4af6","resolution":{"observed_at":"2026-07-08T10:54:49.137233Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.574075Z","title":"Stethonet:robustbreastcancermammography classification framework","venue":null,"work_id":"0bbdd8b1-f954-4d31-b9ff-8b59006651a7","year":2024},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:1759b1a58fe442c9d5d119d217dc45870ad47a030392bd1508688627113ab7fc","observation_id":"4c9430ce-69e7-4dbc-849d-87494a54c8de","resolution":{"observed_at":"2026-07-08T10:54:49.575924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.619587Z","title":"Multi-view cross attention for guiding surgical planning in rotator cuff repairs with limited mri data","venue":null,"work_id":"f7dae5db-7c4a-427c-b081-cb6a449e92e9","year":2025},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:4612cd6a42bd19c67dbc74f6911066fb9f6bff1e93a771919ffa5d9f791b4e96","observation_id":"b70d0c6b-945b-483c-bd31-fa244811abc3","resolution":{"observed_at":"2026-07-08T10:54:49.621483Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.617134Z","title":"An interpretable cnn-based model for mass classification in mammography","venue":null,"work_id":"df354af3-73d5-4904-a4f4-52f69dc11b2c","year":2025},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:f2ae777ea59adde6daa3bffe3dfa10bc8b85526cd64162bd8cdd170f8ca66986","observation_id":"763aea1d-acf1-4112-af28-f264b9b4155c","resolution":{"observed_at":"2026-07-08T10:54:49.618846Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.596412Z","title":"Actlikearadiologist:towardsreliablemulti-viewcorrespondencereasoning for mammogram mass detection","venue":null,"work_id":"5913b110-20b2-4baa-aa68-b1422cc7ed06","year":null},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:e371e15d4d40657a42cadbdce1c4566aa7727aeccf8998a5431913c1c909535b","observation_id":"fe41fcb1-a326-4b9a-9a48-da95977eacab","resolution":{"observed_at":"2026-07-08T10:54:49.598571Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.580330Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows, in: Proceedings of the IEEE/CVF international conference on computer vision, pp","venue":null,"work_id":"fd6c08cd-082b-496f-8cf5-2e118b727e2a","year":null},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:8c5d9460e7153b9687a5a7b130ceb981f4e35220f81460904b81f2e8541a1f80","observation_id":"9f3835d0-3dda-47f5-ba41-c0635afa2ed7","resolution":{"observed_at":"2026-07-08T10:54:49.582802Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.608608Z","title":"Mammographyclassificationwithmulti-view deep learning techniques: Investigating graph and transformer-based architectures","venue":null,"work_id":"0cd464fd-6e2d-4129-81d4-c0444bb1234c","year":2025},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:a6728487ab2272aa32049d4be19c6447efbf28c000d3ad6856ac1a36f9a69d06","observation_id":"755821a3-5667-4154-b780-6125df59cc94","resolution":{"observed_at":"2026-07-08T10:54:49.610669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.05192","last_updated":"2023-11-09T08:08:12Z","snapshot_observed_at":"2026-08-20T04:31:30.356041Z","submitted_at":"2023-11-09T08:08:12Z","title":"TransReg: Cross-transformer as auto-registration module for multi-view mammogram mass detection","version":1},"cited_work":{"arxiv_id":"2311.05192","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.05192","snapshot_observed_at":"2026-07-08T10:54:49.130059Z","title":"Transreg: Cross-transformer as auto-registration module for multi-view mammogram mass detection","venue":"cs.CV","work_id":"e75b7d77-edb7-423e-b7dc-05d2d34f19d5","year":2023},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"cited_paper":"/paper/2311.05192","citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:75dbc3809309e30505a4b1d83043c6016738500ceb2597234d1df2ef53cc833d","observation_id":"f77d28ed-e9c9-4128-993a-c153bbd8b416","resolution":{"observed_at":"2026-07-08T10:54:49.132631Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.622217Z","title":"Vindr-mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography","venue":null,"work_id":"22052e96-2a04-49b4-9a80-91f399acdeaa","year":null},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:ae9314e1bb970e83b99bedee5f53ae849413738e99031099a8404eca5163dc69","observation_id":"dc7d5f1a-8bf7-4b8c-a29d-9ee89bc79a2a","resolution":{"observed_at":"2026-07-08T10:54:49.623870Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.629759Z","title":null,"venue":null,"work_id":"bc51a666-43a1-4e3c-99ac-71bc0dec5e4e","year":null},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:5f6d711acddd692e2f31e8e6e0d400effb5acc5f8cc9035af9751b1042b6b43c","observation_id":"027c952f-0551-4eab-890f-59430fc8fe9c","resolution":{"observed_at":"2026-07-08T10:54:49.631612Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2026.110509","doi":"10.1016/j.bspc.2026.110509","metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Mv-trams: An efficient tumor region-adapted mammography synthesisundermulti-viewdiagnosis","venue":"Biomedical Signal Processing and Control","work_id":"81e25a81-3e35-4a0e-93d3-287ccb9a2486","year":2026},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:70bbaf1a6e0100e14b740b0f663620553b19c59a5ea6f90ae38f1ae378165fed","observation_id":"bfeadc5b-5a78-403e-b5ec-9d637acf50b8","resolution":{"observed_at":"2026-07-08T10:54:49.009547Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-07-10T23:49:04.233401+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T23:49:04.233401+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.571427Z","title":"Weakly supervised learning for breast cancer prediction on mammograms in realistic settings","venue":null,"work_id":"0cb8f613-a6db-43ad-8258-0186dd323a21","year":2023},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:50522a1713fb6019ebf254b77172e9531a3f7e626ae9a703f95e66b59f4cbf87","observation_id":"684f8a86-24e7-42a4-8177-50a41d49ae63","resolution":{"observed_at":"2026-07-08T10:54:49.574477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.589747Z","title":"Breast cancer diagnosis in two-view mammography using end-to-end trained efficientnet-based convolutional network","venue":null,"work_id":"fc6a2210-be72-4a6a-990c-822e04cab549","year":2022},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:3d62fa7ed7d8c6dea1b658ada07733a78c39823c22fc1f49b622d40f716da2c0","observation_id":"58feb414-b5e1-476b-96c1-01f78af9aa36","resolution":{"observed_at":"2026-07-08T10:54:49.591795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.599558Z","title":"Transformer-guidedcross-viewcorrelationnetworkformammogramclassification,in: 2025 IEEE 9th International Conference on Information and Communication Technology (CICT), IEEE","venue":null,"work_id":"aedc71e0-b068-478d-ad41-d9b563b8f9b0","year":2025},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:ff6612008ccef748df4eafc94f3c7e8dae3d0352eab29558768761bc52287d57","observation_id":"0832234c-b4a8-4318-8baf-671c13a09a0e","resolution":{"observed_at":"2026-07-08T10:54:49.601545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.577665Z","title":"Deep learning in mammography images segmentation and classification: Automated cnn approach","venue":null,"work_id":"68c1d4cd-dc67-4a59-99fc-2211d67eb7d2","year":2021},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:75c35fce55fc772f4ba9d5f7fe075b449d994da8fe8c9d1236f0d3fd2bee96ff","observation_id":"63a288a5-0257-46f3-853a-664bd8afe6a2","resolution":{"observed_at":"2026-07-08T10:54:49.579505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2507.05201","last_updated":"2026-04-06T19:50:20Z","snapshot_observed_at":"2026-08-16T01:32:15.677523Z","submitted_at":"2025-07-07T17:01:44Z","title":"MedGemma Technical Report","version":4},"cited_work":{"arxiv_id":"2507.05201","doi":"10.48550/arxiv.2507.05201","metadata_source":"pith","pith_arxiv_id":"2507.05201","snapshot_observed_at":"2026-08-05T02:49:54.815029Z","title":"MedGemma Technical Report","venue":"cs.AI","work_id":"3d3f25c0-31e8-4859-bb3d-0d719b47a63d","year":2025},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"cited_paper":"/paper/2507.05201","citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:88c2acc551dd7957f357a4ab4d22ac9218872c3c8e3ec19a5f9c253c00962f86","observation_id":"7c9d7ba3-a1b2-4967-8af2-7ad5ecc0e57b","resolution":{"observed_at":"2026-07-08T10:54:49.141568Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.611416Z","title":null,"venue":null,"work_id":"316079bb-e2cc-4339-bae2-966af9dd2ed5","year":2017},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:20426ea1ed02c08733e39e2a31d3870b6f3d9a847a4aeec4804681e307114e89","observation_id":"3671ad5f-816b-4516-bd88-ff3e0ec6be08","resolution":{"observed_at":"2026-07-08T10:54:49.613343Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.567742Z","title":null,"venue":null,"work_id":"0564069c-74b2-44b3-a6a8-a68e959c6c8d","year":2021},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:b0b8b1b439777e2382b7de90cf5e9526ef23d0e2b98db9f0d2aca5810714a62b","observation_id":"35480163-4e68-4c66-bff0-94debc65ea9c","resolution":{"observed_at":"2026-07-08T10:54:49.573240Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.591088Z","title":"Visualizingandunderstandingconvolutionalnetworks,in:Europeanconferenceoncomputervision,Springer","venue":null,"work_id":"119d7d9b-002b-4a15-b13d-de7d0566a317","year":2014},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:0c7a8c06365f4003cbe19c56b454535e454c50416007d88f36693d854fa797a6","observation_id":"f2904464-8bbb-4455-91a0-067aab425084","resolution":{"observed_at":"2026-07-08T10:54:49.592974Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2111.03930","last_updated":"2021-11-15T04:58:28Z","snapshot_observed_at":"2026-08-18T14:02:33.902650Z","submitted_at":"2021-11-06T18:09:22Z","title":"Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling","version":2},"cited_work":{"arxiv_id":"2111.03930","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.03930","snapshot_observed_at":"2026-07-08T10:54:49.125621Z","title":"Deep sets","venue":"cs.CV","work_id":"e9b1d13c-a8ca-43ed-af63-fd1158065caf","year":2021},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"cited_paper":"/paper/2111.03930","citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:4917e54421ad9a22bae4d32b1ad63d97f8b2fe926aecbbf8aa339f2e8d37afc0","observation_id":"6da3d608-58a8-43ae-a1d3-3d0c1886030b","resolution":{"observed_at":"2026-07-08T10:54:49.127702Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.00915","last_updated":"2025-01-08T22:58:51Z","snapshot_observed_at":"2026-08-18T14:56:57.492279Z","submitted_at":"2023-03-02T02:20:04Z","title":"BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs","version":3},"cited_work":{"arxiv_id":"2303.00915","doi":"10.48550/arxiv.2303.00915","metadata_source":"pith","pith_arxiv_id":"2303.00915","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"BiomedCLIP: a multimodal biomedical foundation model pretrained from fifteen million scientific image-text pairs","venue":"cs.CV","work_id":"6fcf8750-00b8-4f3e-9f0b-965a879a5dff","year":2023},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"cited_paper":"/paper/2303.00915","citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:4a5e6b69b92c8b238aeffbc30037f0b30eb428a8acf66335254fe876149fa8c8","observation_id":"a6778043-48c3-415d-9d10-09d8ec86aea9","resolution":{"observed_at":"2026-07-08T10:54:49.123746Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-03T16:39:08.594818+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-03T16:39:08.594818+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-21T06:32:16.066871+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":"2026-07-08T10:54:49.603384Z","title":"Learning to prompt for vision-language models","venue":null,"work_id":"72d361dc-c088-4e87-81b5-7668ed48c39d","year":2022},"citing_paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-07-08T10:53:30.847851Z"},"links":{"citing_paper":"/paper/2607.06309"},"observation_digest":"sha256:f025a51c3b789657ff724dc597a474ea32a67115443e896ff4c682e437b3c667","observation_id":"052a034f-a537-4230-99bf-078ff7613a8e","resolution":{"observed_at":"2026-07-08T10:54:49.605213Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2607.06309","last_updated":"2026-07-07T14:11:54Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T18:19:54.071433Z","submitted_at":"2026-07-07T14:11:54Z","title":"Token-Based Dual-view Fusion and Adaptation of Large Vision Models for Breast Cancer Classification"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":4,"verified_exact":5,"verified_fuzzy":22},"total_outbound_references":32},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2607.06309."}