{"as_of":"2026-08-10T15:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:efd99441d030def4b88607b15dae8d7be8de038b26a51b581d2dfcb7e9403e35","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-02T21:01:18.401079Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+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/2602.21636/citation-record","integrity":"/paper/2602.21636/integrity","json":"/paper/2602.21636/citation-record.json","paper":"/paper/2602.21636"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:15.519866Z","title":null,"venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:15.519866Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:a0e95c7d421a8ea346172da2fc8ca58a665378c27679b3ce8f14841aa88b0d74","observation_id":"998d4909-f9e6-4c39-8a28-c015457b44e3","resolution":{"observed_at":"2026-08-02T21:01:15.519866Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:15.605403Z","title":null,"venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:15.605403Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:93a6153e4728c56ccd018fe71af1de05294f502e9633b9d5ea58a65acb9a4f81","observation_id":"cd1862c6-6e3f-4b74-91c6-fe2b82ab4a10","resolution":{"observed_at":"2026-08-02T21:01:15.605403Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:15.689277Z","title":"IEEE Trans","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:15.689277Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:8be97ebda03089ef75d77430932f8908b14852dc3dbd71b2d9882d513cb2aa99","observation_id":"31d452d8-c522-4654-bf26-c5f92be66d96","resolution":{"observed_at":"2026-08-02T21:01:15.689277Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:15.742390Z","title":"In: de Bruijne, M., et al","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:15.742390Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:7a6ab39d7d2e71565db0a24f9b0845bc5b0351e96032fdcabf2de6624da5d0ff","observation_id":"a225ba3c-f037-4ab8-a0fc-bb5518519837","resolution":{"observed_at":"2026-08-02T21:01:15.742390Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:15.797692Z","title":"In: Proc","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:15.797692Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:095e1915a132224a989bf1e76c0c2d6955b8e8bc905d3f2d9f89afa8edd9fd54","observation_id":"e17fec59-8ba9-47ef-8f93-26cac36fe896","resolution":{"observed_at":"2026-08-02T21:01:15.797692Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:15.856579Z","title":"In: MICCAI 2025, LNCS, vol","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:15.856579Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:c34ae44d2de5009ca8838cc32148751d4cbfebf5a6e4b51a69a0cbe20c2bd65b","observation_id":"496e6a29-6432-4364-af78-1337f97ea5da","resolution":{"observed_at":"2026-08-02T21:01:15.856579Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:15.973919Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:15.973919Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:3e0152ad150555f3368ce8b2d6aa783058541d1ddb062626c035ffb5485cb46d","observation_id":"5213ab37-d2c5-4d33-974f-b8ac483facda","resolution":{"observed_at":"2026-08-02T21:01:15.973919Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:16.114553Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:16.114553Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:d402732faf6c4a41f19de447c1647771b1edc771d59f49eff9a35beb3eba5894","observation_id":"b1f12d89-d455-43ad-a98e-9035c008b7e8","resolution":{"observed_at":"2026-08-02T21:01:16.114553Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:16.269413Z","title":null,"venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:16.269413Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:36f28624f9b3d688dbb490f4debff84128c803410b01b5d2f64624e71ac5c079","observation_id":"b06e0373-ddb5-46bb-aae6-76c297089562","resolution":{"observed_at":"2026-08-02T21:01:16.269413Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:16.418313Z","title":"In: Proc","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:16.418313Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:e10916aa11c31b5dbf5a979cfe1aadd8d5b2e868c8afe822c3ab8eea1c704bc9","observation_id":"3ea72c2a-f6fe-41e8-954a-bc4582adfff9","resolution":{"observed_at":"2026-08-02T21:01:16.418313Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:16.561923Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:16.561923Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:038b23673b30bfee31f5d488baccc90132802fe826b21ebd4e8a531f0da9ffe7","observation_id":"b6f9d0b1-e134-41dd-8524-179ec153c83c","resolution":{"observed_at":"2026-08-02T21:01:16.561923Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:16.689348Z","title":"SPIE 12927, Medical Imaging 2024: Computer-Aided Diagnosis, 1292735 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:16.689348Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:6568290f7a573835f94db99c32e01337be4bcf1d3de77e8634c1fda4e387d45f","observation_id":"8a359b56-b29a-4263-85fe-64fdb1dfab76","resolution":{"observed_at":"2026-08-02T21:01:16.689348Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:16.813959Z","title":"arXiv preprint arXiv:2509.06467 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:16.813959Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:74725c914b8a6a9e688942e14e8870b7548d38d64c46ef45c87d42cb5e881ee1","observation_id":"e081d64e-b0b1-4550-a671-642ffa928cf6","resolution":{"observed_at":"2026-08-02T21:01:16.813959Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.02366","last_updated":"2024-09-14T03:35:04Z","snapshot_observed_at":"2026-08-09T07:41:33.120488Z","submitted_at":"2023-12-04T21:47:10Z","title":"Evaluating General Purpose Vision Foundation Models for Medical Image Analysis: An Experimental Study of DINOv2 on Radiology Benchmarks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.02366","snapshot_observed_at":"2026-08-02T21:01:16.985436Z","title":"arXiv preprint arXiv:2312.02366 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:16.985436Z"},"links":{"cited_paper":"/paper/2312.02366","citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:4630fbb282171dd88d3f31a52f965a42244dacbfd8e12a97a9951f36e1598494","observation_id":"fb302bcf-e754-4588-abe0-4a6890993788","resolution":{"observed_at":"2026-08-02T21:01:16.985436Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:17.093426Z","title":"arXiv preprint arXiv:2509.02379 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:17.093426Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:25befc8836068849cf34dae67413d88e009f10f3968a1b08662134f829e58405","observation_id":"ccfde94f-3269-4b7a-b138-62d34006e509","resolution":{"observed_at":"2026-08-02T21:01:17.093426Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:17.253321Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:17.253321Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:b9817c340f4838051bed35312ecbf20d9ab9103159aa26dbf883e979e940ad75","observation_id":"d79cb665-356b-4320-a63e-a463b81ea77b","resolution":{"observed_at":"2026-08-02T21:01:17.253321Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:17.361248Z","title":"In: 2025 IEEE 22nd ISBI, pp","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:17.361248Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:d5f48c7b41a36b949b9e1d956c560d7cfb3729c1bc984707f1c23a1287c4034a","observation_id":"f0ec0a9e-7f58-40ee-b696-6aa4a55051e8","resolution":{"observed_at":"2026-08-02T21:01:17.361248Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:17.514812Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:17.514812Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:8c79f6771dd74377d249af5d779a41e168c7e80563de662222fe6af4e90b32fe","observation_id":"30e5740a-5df3-4876-aa9f-d22354c0036c","resolution":{"observed_at":"2026-08-02T21:01:17.514812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-10T01:12:16.468283Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-02T21:01:17.688639Z","title":"arXiv preprint arXiv:2010.11929 (2020)","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:17.688639Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:23abf4a4d5cc2fd54730c215504877283fff81dcb977e283d26581e3901e0c80","observation_id":"a1526c83-fde6-4f81-a949-9fadb41fd31a","resolution":{"observed_at":"2026-08-02T21:01:17.688639Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:17.814447Z","title":"Sensors24(23), 7511 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:17.814447Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:937733c93be68591d218db1ae549f5989e8339564ecabe18e1a58a7ad8a08c6d","observation_id":"e2154efb-60f9-4bd9-bea0-b3758b8c356d","resolution":{"observed_at":"2026-08-02T21:01:17.814447Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:17.905029Z","title":"In: Proc","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:17.905029Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:ed814d4867544fc13cda2569ce85174f804ef1f8d43e3298912ab1a7f9f9fb8a","observation_id":"257e6edb-be0b-4f4d-92e5-087a326423b8","resolution":{"observed_at":"2026-08-02T21:01:17.905029Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:18.003794Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:18.003794Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:4062ab280c632a536536de703e6a62023289a749b85db592eb8e58bbf742b190","observation_id":"1f206f2a-f972-4267-96f6-14ccaa035ca7","resolution":{"observed_at":"2026-08-02T21:01:18.003794Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:18.091152Z","title":"Procedia Comput","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:18.091152Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:378f6423c9ecbd7f301f3650cade7f195286179e3cfc16cb544be062f01cccc7","observation_id":"e78450f0-d972-48f8-8443-09004805a4b7","resolution":{"observed_at":"2026-08-02T21:01:18.091152Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:18.184088Z","title":"In: Proc","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:18.184088Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:3b646419f34fbbaa45e1e4f329f0a545afdfb6f8fde17cbc38db2d7c36e08f76","observation_id":"48e3b796-e53f-41bf-9775-43533e388096","resolution":{"observed_at":"2026-08-02T21:01:18.184088Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:18.280996Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:18.280996Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:c8623c907fae62cd7ac295deff443452b587f8045d4189c76f8f606692b2209f","observation_id":"622366fd-5f8a-4ff6-9b2e-5dc29cf1a276","resolution":{"observed_at":"2026-08-02T21:01:18.280996Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-02T21:01:18.401079Z","title":"In: 2021 IEEE 18th ISBI, pp","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-02T21:01:18.401079Z"},"links":{"citing_paper":"/paper/2602.21636"},"observation_digest":"sha256:02faeb1e0c12c51d08866c675713701692f7316db6c8d405eda35ea3dd8387a6","observation_id":"147f9989-9ccd-4d60-814d-6cd721804418","resolution":{"observed_at":"2026-08-02T21:01:18.401079Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2602.21636","last_updated":"2026-05-26T05:59:51Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T07:41:56.887792Z","submitted_at":"2026-02-25T07:00:24Z","title":"Axial-Centric Cross-Plane Attention for 3D Medical Image Classification"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":26},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2602.21636."}