{"as_of":"2026-08-18T02:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:34f578ecb8d4585917ef3d91a67c32b5b1a4859581669e89d8ce9287ba6dbf51","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T00:13:39.491417Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.08307/citation-record","integrity":"/paper/2608.08307/integrity","json":"/paper/2608.08307/citation-record.json","paper":"/paper/2608.08307"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:40.106676Z","title":"Global Filter Networks for Image Classification","venue":null,"work_id":"0135cb70-b9df-470f-97b3-c14120bbe470","year":2021},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.054669Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:59091ffaa47497872defb4b2a36fde703d3186236a488d27be1ab0ece7834c9d","observation_id":"016354c4-33f6-4e12-92ad-9660a9b5b785","resolution":{"observed_at":"2026-08-12T00:13:40.109687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:40.097825Z","title":"Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector","venue":null,"work_id":"825151c7-e4a6-4244-9ba8-9b07ad5472bb","year":null},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.158071Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:dc9934516fa99350aba6f43bde1faa1950c940852d7e665560e050f1b7c89806","observation_id":"88d564f1-9523-44b3-a116-48c0d85aed22","resolution":{"observed_at":"2026-08-12T00:13:40.101618Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:40.091165Z","title":"FNet: Mixing Tokens with Fourier Transforms","venue":null,"work_id":"75b12bce-fe8e-4fb8-988a-ee1562508bf3","year":2022},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.220603Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:0486c2697a8ee0135236861790e874c8c7b2876b3289089d92f18cc800686345","observation_id":"a24e571a-c1c3-4372-8040-e62d11523c91","resolution":{"observed_at":"2026-08-12T00:13:40.093400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:40.018742Z","title":"Multi-Modal Masked Autoencoders for Medical Vision-and-Language Pre-Training","venue":null,"work_id":"e8918489-3fe0-40e8-8f86-d5340739c25e","year":2022},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.240989Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:5993dbd880b71221c00da61ea0f35365f69b13a4b7eac9230732d820a350cc64","observation_id":"4fc6e437-d83f-442c-b60d-e17f52e98944","resolution":{"observed_at":"2026-08-12T00:13:40.086510Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:39.843605Z","title":"Self-Supervised Vision-Language Pretraining for Medical Visual Question Answering","venue":null,"work_id":"53f62776-82c4-44b8-b239-921a654faf2d","year":2023},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.248870Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:3dab7338fb146cd6b6a48754e58ec55e38551ddb223918aac70916fdbd9abfa9","observation_id":"79effcc1-548b-44e1-aec0-ebadcae6f186","resolution":{"observed_at":"2026-08-12T00:13:39.910268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:39.798097Z","title":"Masked Vision and Language Pre-training with Unimodal and Multimodal Contrastive Losses for Medical Visual Question Answering","venue":null,"work_id":"586254f7-7dfc-4033-8465-b44751f48511","year":2023},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.252512Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:833eea5e21469802b29fa434de51198db536f649b470c556d09ede9e7ce7d74f","observation_id":"706e5344-5c1a-452f-a329-6a176a707231","resolution":{"observed_at":"2026-08-12T00:13:39.801189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02797","last_updated":"2025-01-16T02:31:20Z","snapshot_observed_at":"2026-08-16T14:29:37.108331Z","submitted_at":"2024-01-05T13:22:12Z","title":"PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02797","snapshot_observed_at":"2026-08-12T00:13:39.258091Z","title":"PeFoMed: Parameter Efficient Fine-tuning of Multimodal Large Language Models for Medical Imaging","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.258091Z"},"links":{"cited_paper":"/paper/2401.02797","citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:e75626e606f7b73a156e2654e61b6187400302782e7d103b568a1ed0b7e47162","observation_id":"d11be1ca-b46e-465c-a147-b274b80ad646","resolution":{"observed_at":"2026-08-12T00:13:39.258091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.00915","last_updated":"2025-01-08T22:58:51Z","snapshot_observed_at":"2026-07-06T14:57:39.647497Z","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":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.00915","snapshot_observed_at":"2026-08-12T00:13:39.261649Z","title":"BiomedCLIP: a Multimodal Biomedical Foundation Model Pretrained from Fifteen Million Scientific Image-Text Pairs","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.261649Z"},"links":{"cited_paper":"/paper/2303.00915","citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:7796e829432dbae90ae2c47315d6538709323fdbf9c81ca6c5d092e85ccc0a5a","observation_id":"5be4630c-dc74-4c26-8579-da606f0146d0","resolution":{"observed_at":"2026-08-12T00:13:39.261649Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:39.791379Z","title":"BioBART: Pretraining and Evaluation of A Biomedical Generative Language Model","venue":null,"work_id":"af21bd90-ae70-48c9-ab03-0bf215ea6dbb","year":null},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.264951Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:a955ceac2ef9295759e892f5f84e61ad0f1c664ccc8f80c41e6700ef36f1a334","observation_id":"9ef2c51f-7452-49d5-85ea-82b4045323ad","resolution":{"observed_at":"2026-08-12T00:13:39.793972Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.10415","last_updated":"2024-09-08T01:04:35Z","snapshot_observed_at":"2026-08-15T13:17:09.334808Z","submitted_at":"2023-05-17T17:50:16Z","title":"PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.10415","snapshot_observed_at":"2026-08-12T00:13:39.269044Z","title":"PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.269044Z"},"links":{"cited_paper":"/paper/2305.10415","citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:de88dc455cfe66b322cc1caf465c9dfc49a9498edf451c1e7efe0e76702014d0","observation_id":"478d2e88-58b5-4157-a16f-42386a00ed7f","resolution":{"observed_at":"2026-08-12T00:13:39.269044Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:39.782636Z","title":"and Gayen, Soumya and Ben Abacha, Asma and Demner-Fushman, Dina , year =","venue":null,"work_id":"af1c2450-0be9-41fd-aa50-0baa1fee6f1b","year":null},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.273287Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:ad9e1d1b454f09e0694cb41fbf4ee7135ce5e99644f5ac18a93d745db609702e","observation_id":"933a2b5c-8fd1-4f09-a697-3ff03e3774d4","resolution":{"observed_at":"2026-08-12T00:13:39.786363Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:39.772183Z","title":"SLAKE: A Semantically-Labeled Knowledge-Enhanced Dataset for Medical Visual Question Answering","venue":null,"work_id":"6dcfbda3-0002-4cd3-832f-7055fa908743","year":2021},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.277784Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:1220ef4272b7126a333dcd16b6ab5774c35cb09c9a42efa811310c0a017174ae","observation_id":"d8a91ceb-8074-47fa-8f19-2420ef93c1ad","resolution":{"observed_at":"2026-08-12T00:13:39.775962Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:39.762847Z","title":"Learning Transferable Visual Models From Natural Language Supervision","venue":null,"work_id":"3101b900-3612-4954-b2c7-d7a1d1abf681","year":null},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.315333Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:15b9d75df4a3f5d5c5d98b066e514ba1ff327931982ecffae347af739d373a3e","observation_id":"0c1d6849-1e59-4c9b-ba29-0481204fce4a","resolution":{"observed_at":"2026-08-12T00:13:39.765755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.03748","last_updated":"2019-01-22T18:47:12Z","snapshot_observed_at":"2026-08-14T18:53:38.574749Z","submitted_at":"2018-07-10T16:52:11Z","title":"Representation Learning with Contrastive Predictive Coding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1807.03748","snapshot_observed_at":"2026-08-12T00:13:39.409329Z","title":"Representation Learning with Contrastive Predictive Coding","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.409329Z"},"links":{"cited_paper":"/paper/1807.03748","citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:62287f4f743cbd6deb75ed6175cf6a64a2d281caa2fef58d09a7b490e6f79b89","observation_id":"47c5002e-2bc9-48d8-92ba-37f7098f8a70","resolution":{"observed_at":"2026-08-12T00:13:39.409329Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:39.686734Z","title":"Decoupled Weight Decay Regularization","venue":null,"work_id":"f48c9b4d-8b1b-4f41-9e94-eae8c7bf2738","year":null},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.474319Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:f550f987e30be50fc2685d9a922de70586a2d865e788d616d8489ddd39407b5f","observation_id":"4d14bd01-c34d-40d2-9e37-39c85a7da69f","resolution":{"observed_at":"2026-08-12T00:13:39.757693Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:39.547463Z","title":"Proceedings of the IEEE International Conference on Computer Vision (ICCV) , pages =","venue":null,"work_id":"a6a85326-f536-4688-8d86-c3ac32890369","year":2017},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.481236Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:98a91188b5ca0dc55f762ed432c8dce4a20421375b7c7e4766c6f14acb2f17bc","observation_id":"fc847a0c-2e92-442a-bd21-aa160dfe7b94","resolution":{"observed_at":"2026-08-12T00:13:39.623717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:13:39.535986Z","title":"Visualizing Data using t-SNE","venue":null,"work_id":"9f7a3ac8-0faa-431d-b107-fad3ce49bad7","year":null},"citing_paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-12T00:13:39.491417Z"},"links":{"citing_paper":"/paper/2608.08307"},"observation_digest":"sha256:ab24761224c6190204ede4a6f63ffe67815ec44df27667a9f44a785136b28d9d","observation_id":"227f7878-44e5-4410-8e45-670bfaa33e2e","resolution":{"observed_at":"2026-08-12T00:13:39.540209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.08307","last_updated":"2026-08-08T19:36:23Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T08:01:53.333257Z","submitted_at":"2026-08-08T19:36:23Z","title":"Frequency-Domain Dual-Branch Fusion for Medical Visual Question Answering"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":13},"total_outbound_references":17},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2608.08307."}