{"as_of":"2026-08-18T04:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e9d7f259dd67af751e8eaae3bdcd0ac53f2c12cc82dd24090a9e553abb44f0f3","coverage":[{"denominator":64,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":64,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:51:01.051963Z","state":"measured"},{"denominator":64,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":64,"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/2506.12747/citation-record","integrity":"/paper/2506.12747/integrity","json":"/paper/2506.12747/citation-record.json","paper":"/paper/2506.12747"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T00:51:05.531087Z","title":", author Reinke, A","venue":null,"work_id":"b21c5fff-50fa-41d8-b3ca-deff457c023b","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:54.337980Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:34873a40e50034530367477be8976912f8ca7766cde0de3b09be09eb34e21b2e","observation_id":"4c8ac4aa-7d2d-4e49-8a82-4ddb4ae173b5","resolution":{"observed_at":"2026-08-07T00:51:05.534027Z","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":"2026-08-07T00:51:05.520989Z","title":", author Christ, P","venue":null,"work_id":"4da41039-f6b4-4a28-a8fa-a7d9501f95d2","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:54.409872Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:b06b1fc2dbe32194cc0d9a6ac94494c50f816d37e88a56e9a05da78a33567499","observation_id":"b14670ef-2c60-4cb3-a8aa-4c28a943ef57","resolution":{"observed_at":"2026-08-07T00:51:05.524235Z","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":"2026-08-07T00:51:05.512151Z","title":", author Mann, B","venue":null,"work_id":"870538e3-44dd-46fa-abc8-affea73fc484","year":2020},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:54.493668Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:86e378fc54ce016777d9b2d69b9dd67a8415921f12bec3d3eb5f244f8851b7c3","observation_id":"2ad9f205-7171-4519-aa45-1868887bba74","resolution":{"observed_at":"2026-08-07T00:51:05.515139Z","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":"2026-08-07T00:51:05.502908Z","title":", author Ortiz, J.J.G","venue":null,"work_id":"22335852-650e-451d-aa31-9932575fa388","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:54.572174Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:1a775f667569fb297be1459657417007f98b7cc774b4f541055aea84b2a2d4a6","observation_id":"cbecdc40-b2df-4b86-810a-048cb5afc405","resolution":{"observed_at":"2026-08-07T00:51:05.506059Z","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":"2026-08-07T00:51:05.493022Z","title":", author Miao, J","venue":null,"work_id":"fecc5577-7c8f-438f-a7dd-21a226af7276","year":2024},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:54.662060Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:22b7dfa385638bf3736bcffc90dccfb47594835caeb6d270e72449ec676a8e5b","observation_id":"e0ad7abc-3fad-4d4d-a40c-78c7ed8a1335","resolution":{"observed_at":"2026-08-07T00:51:05.496230Z","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":"2026-08-07T00:51:05.483422Z","title":", author Misra, I","venue":null,"work_id":"55243791-81fb-47a7-94c0-4ce595816282","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:54.751062Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:f5a58644582ae2e641f1279cbe91226be227675beaf99881bc1264db71bd97da","observation_id":"c34a5c02-ac16-4fcd-98c5-5b8e819f27f8","resolution":{"observed_at":"2026-08-07T00:51:05.486485Z","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":"2026-08-07T00:51:05.474101Z","title":", author Schwing, A","venue":null,"work_id":"99ba2157-78e1-4789-ac96-a5e1125a7249","year":2021},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:54.871037Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:caeb49dd33f1296a1fb75d1d5aba4afeeec82c0a09d2a1287c738c0306db9d6a","observation_id":"0dfa5f27-eeea-4f3b-a699-1a0bcf90317f","resolution":{"observed_at":"2026-08-07T00:51:05.477118Z","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":"2026-08-07T00:51:05.464749Z","title":", author Gu, A","venue":null,"work_id":"ead659de-93ed-4bcd-a52f-1dd949c6e5dc","year":2024},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:54.940519Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:4fc3ee46ee90b86ca4d3411077e51a2aada9947b123f86f767f989585549453b","observation_id":"405d04a1-8da8-4814-b91d-e545dc34ef45","resolution":{"observed_at":"2026-08-07T00:51:05.468006Z","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":"2026-08-07T00:51:05.455596Z","title":", author Chang, M.W","venue":null,"work_id":"b4e65133-f2a7-468d-bafe-4e89e5bd5e67","year":2019},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:55.126318Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:ded9014f1c777578fcee5f5ef0e79c3080a30796df0644102cd57a70cf93e206","observation_id":"573654de-798d-4fcb-913f-e68f049305b1","resolution":{"observed_at":"2026-08-07T00:51:05.458929Z","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":"2026-08-07T00:51:05.446068Z","title":", author Xue, N","venue":null,"work_id":"81cb82b5-11ab-4548-9575-29fd92f97f6d","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:55.253425Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:717ff537962d5bccc6748997e35575eb8f46b86d3edda7955c1593d0a99b8e69","observation_id":"e286766e-0653-4c42-a38a-e1a70db3c4ac","resolution":{"observed_at":"2026-08-07T00:51:05.449043Z","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":"2026-08-07T00:51:05.436940Z","title":", author Uchibe, E","venue":null,"work_id":"e545815b-fbc9-4a30-a958-24d7f2489a8d","year":2018},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:55.325432Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:2b81dd57109d21c5f1e6b64a42ebb7b2e8d99b962b8064f7963403fc235cff3d","observation_id":"0a081f89-7a5b-4ede-8e53-e2ca0fe47314","resolution":{"observed_at":"2026-08-07T00:51:05.439791Z","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":"2026-08-07T00:51:05.428164Z","title":", author Yan, P","venue":null,"work_id":"62756ec8-f3e8-4408-ab0e-ce0ffc6dd99c","year":2020},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:55.504272Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:1315cfc4316c58ae76e782e9c2ac4ce9132d0b5b6218bc109992d65b160730be","observation_id":"aec9e53d-81a2-407e-bbde-70fd364caf07","resolution":{"observed_at":"2026-08-07T00:51:05.430944Z","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":"2026-08-07T00:51:05.419350Z","title":", author Gu, X","venue":null,"work_id":"a5419932-d472-4273-afe4-03c964833087","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:55.594742Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:2336cd9406c3f4c7ca92731aafe57df085115626a30908119593f4570182b412","observation_id":"ba85f2c4-3dfe-4a72-b519-eca98fe4af7f","resolution":{"observed_at":"2026-08-07T00:51:05.422154Z","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":"2026-08-07T00:51:05.410375Z","title":", author Dao, T","venue":null,"work_id":"0b1d8821-6837-49dd-8497-b2391ad02dea","year":2024},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:55.737696Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:7c8c6e88a7a9c3d137d371f7334b1e413ce9c2d7922f82490b80748f51909519","observation_id":"06f91a2a-8b47-4f67-b7f4-48614a274b47","resolution":{"observed_at":"2026-08-07T00:51:05.413469Z","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":"2026-08-07T00:51:05.401037Z","title":", author Goel, K","venue":null,"work_id":"8850df27-4d83-4066-ac21-027a9a7f73cd","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:55.870008Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:33b29b980122a7e74e1a542b0b1b88230da169388df20d177f8c329f61aca639","observation_id":"b34ef71c-4fab-47f5-9d3f-f60c85c58dff","resolution":{"observed_at":"2026-08-07T00:51:05.404468Z","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":"2026-08-07T00:51:05.390897Z","title":", author Zhou, S","venue":null,"work_id":"6c6f4be1-cb4c-4e60-8239-db5955f1ebcb","year":2020},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:55.953385Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:8e988d820683d3540ef1678953b82de4be6e530698036c57952c09520f292bc3","observation_id":"da29cbd3-1f06-40e1-b51b-a9e82107f0e4","resolution":{"observed_at":"2026-08-07T00:51:05.394323Z","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":"2026-08-07T00:51:05.381560Z","title":", year 1994","venue":null,"work_id":"39b8794a-4b95-427e-aea4-420b1dd920c7","year":1994},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:56.057140Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:ecb6f80ec899c8bd1748a765531cfc046e78817a91e6bf19311fa25602d4fc1d","observation_id":"3bdc5e5a-d017-482a-91da-41ca9080a5a1","resolution":{"observed_at":"2026-08-07T00:51:05.384604Z","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":"2026-08-07T00:51:05.372266Z","title":", author Nath, V","venue":null,"work_id":"ca0db76a-f430-4237-9b67-fdf2c502612f","year":2021},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:56.142898Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:4ae2dc9dad8612a30580c818ba8f22d63a9d073e6cc641256ee507f461f7ec23","observation_id":"f60d8f4d-5ea0-4beb-99c1-c78e9b5d36ff","resolution":{"observed_at":"2026-08-07T00:51:05.375215Z","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":"2026-08-07T00:51:05.363438Z","title":", author Zhang, X","venue":null,"work_id":"239d1755-9e3a-47e7-8735-d2862d895482","year":2016},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:56.269353Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:559bf5214049517b5ffcbc46a6c836e4e8018ae0fc52538b4c761920d12cb9ba","observation_id":"d5fea697-311a-4c3e-b4c7-539f1b2f43f9","resolution":{"observed_at":"2026-08-07T00:51:05.366366Z","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":"2026-08-07T00:51:05.354192Z","title":", author McSweeney, S","venue":null,"work_id":"e2c6ac45-8f79-462c-8567-c366666ae386","year":2020},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:56.330400Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:1561df38b92ff8cfed1d59d57935446a6af325407d665d3a16858cabacd817b1","observation_id":"d78fa5bc-d3f3-4a11-b45c-239941f8d1b1","resolution":{"observed_at":"2026-08-07T00:51:05.357364Z","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":"2026-08-07T00:51:05.345119Z","title":", author Kuen, J","venue":null,"work_id":"d665397e-d5d5-44d9-a055-08a008c7df9e","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:56.413347Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:8157c97f6b49118c0da1db66665956655f003e7790b914b981f59ce62f1dbd9b","observation_id":"f26f1478-bd91-4476-9b33-98eef6c15508","resolution":{"observed_at":"2026-08-07T00:51:05.347923Z","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":"2026-08-07T00:51:05.335993Z","title":", author Jaeger, P.F","venue":null,"work_id":"6be4ed86-36a2-45c3-8755-fa431f2445e1","year":2021},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:56.492092Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:11f1bb83664ae27ee45b548068d0cdacfb3c6bc6b31caa2b3097207588d8fb2f","observation_id":"cd59aa77-4b19-41ae-aa8f-caaa83b8bbf6","resolution":{"observed_at":"2026-08-07T00:51:05.339034Z","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":"2026-08-07T00:51:05.326960Z","title":", author Bai, H","venue":null,"work_id":"aeb96c15-9d8d-461d-be4a-ca9c9e6d8287","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:56.685218Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:0a7a4a73a666551183f1ab1d6782e268c86c4dac527fb9c0c4aad21da555bb47","observation_id":"376c87d9-df59-4da4-9299-66e94473763e","resolution":{"observed_at":"2026-08-07T00:51:05.330034Z","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":"2026-08-07T00:51:05.318091Z","title":", author Huang, Z","venue":null,"work_id":"ccaea38c-29f3-4512-a57e-811af1f1ba64","year":2024},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:56.849739Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:3d2ecdd52841e4c8c39de8526b4101607525501fd72a9a19fe4f272f88162ac9","observation_id":"f7661516-9345-4b89-88b6-7abac3c69c4f","resolution":{"observed_at":"2026-08-07T00:51:05.321081Z","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":"2026-08-07T00:51:05.309162Z","title":", author Grave, E","venue":null,"work_id":"e0e422e8-0c24-4840-a664-67709cb3c85d","year":2017},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:57.011639Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:155e7f8e2002a15be92d17d35118076139a0cd5b0144be347c2dc495a0f14c9a","observation_id":"afcf7026-18bc-45b2-9680-50485ac3f5b2","resolution":{"observed_at":"2026-08-07T00:51:05.312190Z","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":"2026-08-07T00:51:05.299981Z","title":", author Lee, J","venue":null,"work_id":"41eddcf0-bd39-419c-8054-03a771888951","year":2021},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:57.174894Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:b07d2ba4ddfe1039cf4c5b7ce665a6b89cd349f713c2b994645e32867992c995","observation_id":"c102a957-e1e1-4e7a-8c1f-0c1081c60575","resolution":{"observed_at":"2026-08-07T00:51:05.302978Z","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":"2026-08-07T00:51:05.291524Z","title":", author Gezer, N.S","venue":null,"work_id":"8239d3db-770b-4896-9543-062e592102c9","year":2021},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:57.354096Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:9284a71f4a02ce09d5b4d0d4dd8f26d15b39202db46353bcc16e7bf93d5e9442","observation_id":"bb1225a5-7955-4bed-b870-2c2993c6a1b4","resolution":{"observed_at":"2026-08-07T00:51:05.294405Z","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":"2026-08-07T00:51:05.282547Z","title":", author Mintun, E","venue":null,"work_id":"c4007836-8907-4c50-86df-4ee0cf7e4674","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:57.508415Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:851f55ff786c48077ae3d05f460116a42ae802a971aaea480a891a3d1affd95e","observation_id":"17110cf5-bc88-4398-930b-190407517002","resolution":{"observed_at":"2026-08-07T00:51:05.285334Z","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":"2026-08-07T00:51:05.272538Z","title":", author Xu, Z","venue":null,"work_id":"bf372a34-b945-448c-ae81-7d385f874d90","year":2015},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:57.629841Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:f52d31c4b6e9bbb595a59fb818b63026c993bf138ceb15b80078ae6f0ca38eeb","observation_id":"6e0c2e29-f4ea-4cb4-8dd2-3ffcd77af20e","resolution":{"observed_at":"2026-08-07T00:51:05.276263Z","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":"2026-08-07T00:51:05.263740Z","title":", author Weinberger, K.Q","venue":null,"work_id":"82987985-3810-4141-9612-efe79cad3d55","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:57.797214Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:61e1adb77f062cbf5c8ed89ab2a3122f2dd63964efb0f280f30756a93ca81d74","observation_id":"0b1e9a0e-49c8-4f40-9f9b-5129de23de98","resolution":{"observed_at":"2026-08-07T00:51:05.266428Z","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":"2026-08-07T00:51:05.254935Z","title":", author Wu, B","venue":null,"work_id":"8f0fde2e-19cd-48e5-b04f-93951b3e6e99","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:57.914532Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:d0145579746e9b7a9ce6cf6fa87b4fa7ecbbda9d15b44a66c5a61813a10296de","observation_id":"c129c8ea-4c0e-43cf-a6de-962251346016","resolution":{"observed_at":"2026-08-07T00:51:05.258084Z","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":"2026-08-07T00:51:05.245780Z","title":", author Zhang, Y","venue":null,"work_id":"d3f6621c-59d1-4ff6-b95f-c70795cf6521","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:57.985436Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:8982e2d158e4f36f67bb676d35fef386d04ac629684ec61d2d35dd6525c56190","observation_id":"af865a9a-1440-4898-b01e-5d4e2aa5350e","resolution":{"observed_at":"2026-08-07T00:51:05.248954Z","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":"2026-08-07T00:51:05.236694Z","title":", author Lin, Y","venue":null,"work_id":"15f85d1e-1818-495e-b18b-67389a74e259","year":2021},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:58.102263Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:d19049f971d5dedb898f33648d578553d8206049f3296d2de641deb3e43a7332","observation_id":"489ea3e6-878c-4ea7-8b20-620f51908def","resolution":{"observed_at":"2026-08-07T00:51:05.239967Z","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":"2026-08-07T00:51:05.227006Z","title":", author Liao, W","venue":null,"work_id":"c578d4b8-a5e0-4dfa-ba81-05ab7ddc8e85","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:58.214303Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:774c4fb97a6310fff1591750f88e14a406f0f7f2e6391c31f141102c0611139b","observation_id":"c09a2b72-6cde-4f46-ac66-8f11dd5df809","resolution":{"observed_at":"2026-08-07T00:51:05.230533Z","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":"2401.04722","last_updated":"2024-01-09T18:53:20Z","snapshot_observed_at":"2026-08-17T03:22:34.203372Z","submitted_at":"2024-01-09T18:53:20Z","title":"U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04722","snapshot_observed_at":"2026-08-07T00:50:58.336747Z","title":", author Li, F","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:58.336747Z"},"links":{"cited_paper":"/paper/2401.04722","citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:95b2ba6c92f8143eba6de29a26ca6d82f5393c6d13a1ad1307b796328233c7e4","observation_id":"b119d54f-373d-4031-80df-ed42edebd37f","resolution":{"observed_at":"2026-08-07T00:50:58.336747Z","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":"2026-08-07T00:51:05.217584Z","title":", author Zhang, Y","venue":null,"work_id":"c4470f91-38cb-4344-8831-7c72e7c00f93","year":2021},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:58.456871Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:27424cf725b52a76b280b2128e7eedf418ac71eace4f1cd025745c065a9daf15","observation_id":"6612015d-de89-4984-a11e-75f81a48881d","resolution":{"observed_at":"2026-08-07T00:51:05.220946Z","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":"2026-08-07T00:51:05.208116Z","title":", author Banerjee, O","venue":null,"work_id":"e9926f2f-a381-47a4-97e5-c6ab1ad7169a","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:58.609712Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:31b1dbfbc2cf012386dfc88e42b103e3e91b694926a4710901c1d78c2a9c27b9","observation_id":"2e5fa78e-c93e-47f2-ab3a-2d2c74eef9fc","resolution":{"observed_at":"2026-08-07T00:51:05.211313Z","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":"2026-08-07T00:51:05.198584Z","title":", author Woo, S","venue":null,"work_id":"3205f3c6-816e-4be2-a780-24a7bfc502d1","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:58.747388Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:127be379883589151a37d16d47ced87ffde5d78a0a6576d44f4cbefb0c7041df","observation_id":"5076a0b9-b215-4983-a0d4-9d9613d9ad31","resolution":{"observed_at":"2026-08-07T00:51:05.201693Z","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":"2026-08-07T00:51:05.120757Z","title":", author Xie, S","venue":null,"work_id":"d252e86c-1bc0-4fd8-9a5a-6fa0fac06dad","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:58.878973Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:49f79c9ea9b75431ad179470328e1512b0b938b50178379cd78dd835af508268","observation_id":"a791706c-f4df-4307-ab96-f1f55bd5ed2a","resolution":{"observed_at":"2026-08-07T00:51:05.173931Z","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":"2026-08-07T00:51:05.001369Z","title":", author Malik, J","venue":null,"work_id":"b7db03da-a969-4cee-a521-94884f140dfa","year":1990},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:58.972280Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:0c322124b94fc9eff9ede9c9de42620ced63a0b3a55a8629e2d6e96f13b47f14","observation_id":"6c823b7f-40ed-4efd-a6ee-338414b1c57d","resolution":{"observed_at":"2026-08-07T00:51:05.096890Z","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":"2026-08-07T00:51:04.905009Z","title":", author Wu, J","venue":null,"work_id":"e4b9cf96-48ab-4848-9123-5cd0c74143d4","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.029172Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:827662e9c3dbdfd72b31f026afcc64cf04a6bcc08f74a6a388e5a84fd262f60e","observation_id":"0a2737e4-9a6c-48b7-8542-27de4675eddd","resolution":{"observed_at":"2026-08-07T00:51:04.916353Z","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":"2026-08-07T00:51:04.666626Z","title":", author Kim, J.W","venue":null,"work_id":"4400c494-a3c8-4ed7-b1d3-44480acc3e08","year":2021},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.125507Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:91a0add13a41fe269d640e0aa728c2b89214911e56cffc7ba7a64aca1f159ead","observation_id":"62fb9ad3-6f5f-42d2-88d8-1ba092467f29","resolution":{"observed_at":"2026-08-07T00:51:04.789400Z","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":"2026-08-07T00:51:04.414376Z","title":", author Zhao, W","venue":null,"work_id":"74c05632-5bc2-4713-9591-13efe910c9a9","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.236582Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:97d1c500e1963c92ec5261177bb9884964725ed194c6cc0ae30b5a9cc6faa889","observation_id":"d38dc076-934c-4507-9cd0-6f6e6232bca3","resolution":{"observed_at":"2026-08-07T00:51:04.545836Z","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":"2026-08-07T00:51:04.247773Z","title":", author Yi, D","venue":null,"work_id":"d0d16ca7-b02b-499c-b293-7626586e0011","year":2020},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.382387Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:6a0655f6e088848d09890b9253c01b2f63fdaf4ecd0e3a78e36eca3295003c43","observation_id":"371d137d-e862-4479-bde1-cd9a0b9fbff8","resolution":{"observed_at":"2026-08-07T00:51:04.362047Z","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":"2026-08-07T00:51:04.146221Z","title":", author Lu, L","venue":null,"work_id":"f7aa2d51-ed1d-4faf-9d13-a3a8094020fd","year":2015},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.534008Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:9104937c41b97da19602dc194436a6703567f89a4170e3b0b022395781709ed8","observation_id":"97434840-6862-4e88-b584-b7a8a2643809","resolution":{"observed_at":"2026-08-07T00:51:04.153215Z","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":"2026-08-07T00:51:04.058894Z","title":", year 2006","venue":null,"work_id":"9ae472c1-d2da-444a-923f-158954f33676","year":2006},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.600641Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:7fcb8badabec7a48ed7b87a022d856e2d9e10320010c1c4b35868d10a927f75e","observation_id":"1f6b58d4-d9b6-4c02-a27c-81f15e2d6c60","resolution":{"observed_at":"2026-08-07T00:51:04.139177Z","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":"2026-08-07T00:51:03.865142Z","title":", author Azizi, S","venue":null,"work_id":"a5d5586e-71e1-4cd1-bbf3-9e41b04a0e4c","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.672942Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:53a6df98fe6dc55560b823344a4bb9ad6a3850a265d9c9fd87cd403764ff2a09","observation_id":"a284054a-8b08-464a-9d5e-4102bb7ff053","resolution":{"observed_at":"2026-08-07T00:51:03.912853Z","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":"2026-08-07T00:51:03.691371Z","title":", author Hanbury, A","venue":null,"work_id":"7db52f6f-8120-4bed-8bd2-6dcd50b7b996","year":2015},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.758881Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:91e58c5b9f8941d9dfda8efaea46ac2399f8c7e6a28f762f14f49bf90277985b","observation_id":"f12aff93-00a2-45df-9c90-f4ef5acc95f2","resolution":{"observed_at":"2026-08-07T00:51:03.735912Z","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":"2026-08-07T00:51:03.591936Z","title":", author Wu, S","venue":null,"work_id":"59043aba-5874-4c8a-9520-9faa6821880f","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.848024Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:460d82d56ea8f030f0977aaf7af952b7d6128ef098a71f2dc627d1195ef275f2","observation_id":"58d556cb-fef2-4f45-9d59-4e34cf8d6a7b","resolution":{"observed_at":"2026-08-07T00:51:03.638197Z","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":"2026-08-07T00:51:03.422409Z","title":", author Yang, D","venue":null,"work_id":"f22089aa-5d43-4db2-b84e-acea92f8f35e","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.923518Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:36502de1bfffb8791ba65716041728d7a9648542c37c748150299a991f7b2060","observation_id":"d10e6f53-bbbc-4ce4-9724-4d6b9455efde","resolution":{"observed_at":"2026-08-07T00:51:03.533322Z","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":"2026-08-07T00:51:03.129184Z","title":", author Shazeer, N","venue":null,"work_id":"4ae5534d-f461-4afe-b8f1-a07e8c098e5b","year":2017},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-07T00:50:59.992703Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:a7900e2825954bb641be461c6c0ab7b839db03f32814a99b413571a1ed158d84","observation_id":"9713b8a0-186b-4a78-b722-399aec3460a4","resolution":{"observed_at":"2026-08-07T00:51:03.291513Z","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":"2306.03437","last_updated":"2023-06-08T03:22:59Z","snapshot_observed_at":"2026-08-16T15:26:17.680491Z","submitted_at":"2023-06-06T06:33:32Z","title":"DFormer: Diffusion-guided Transformer for Universal Image Segmentation","version":2},"cited_work":{"arxiv_id":"2306.03437","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.03437","snapshot_observed_at":"2026-08-07T00:51:01.149152Z","title":"DFormer: Diffusion-guided Transformer for Universal Image Segmentation","venue":"cs.CV","work_id":"2bfde7f0-f387-47af-bde7-e8ec04e72e07","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.084723Z"},"links":{"cited_paper":"/paper/2306.03437","citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:4db82fc1e3b70cdcdd840ab8367b4259de9de5f810f11219bea81957f3abe145","observation_id":"865edfe7-c731-447e-a23b-f425c46bd0da","resolution":{"observed_at":"2026-08-07T00:51:01.215884Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-07T00:51:02.720350Z","title":", author Guo, S","venue":null,"work_id":"710297f7-d5fc-48bf-bd38-5667c5437a99","year":2025},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.151286Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:865b8ac2e65e3363f5bf66250f64c85521bbb1f45d375d125a9c7222e1ac3c92","observation_id":"7c8f310d-7066-49e2-9753-662beb417900","resolution":{"observed_at":"2026-08-07T00:51:02.923186Z","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":"2026-08-07T00:51:02.410559Z","title":", author Lu, Y","venue":null,"work_id":"4999e1a8-a754-4638-a031-42fad723cff8","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.235145Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:234cdd944a9e955f00f9bbb4bb0b4bdad70d5f1c1b1e96f4fe65f10eb492d4e6","observation_id":"1d79d700-b565-4b9d-8aa7-878fe7500b2a","resolution":{"observed_at":"2026-08-07T00:51:02.538666Z","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":"2026-08-07T00:51:02.364986Z","title":", author Breit, H.C","venue":null,"work_id":"fa077f1f-4fc7-4650-baab-ba8ddeb5d6ec","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.301776Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:8b6537c0046e46a03b9a3dfe0d1b5ef32a93d51e59179f7f6219ce81c43f4f52","observation_id":"0192d030-5b61-4911-a3f4-78e75fdba215","resolution":{"observed_at":"2026-08-07T00:51:02.383911Z","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":"2026-08-07T00:51:02.202004Z","title":", author Fu, R","venue":null,"work_id":"e6b5d572-fb4d-409a-85ed-8e9369733e9a","year":2024},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.374489Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:c8c2cc21954e76a7393e780afd0e0697b1d357a02d11e238a30d8741a77a3fe2","observation_id":"c3a334a2-16f4-437b-8449-8d7f08a99500","resolution":{"observed_at":"2026-08-07T00:51:02.261964Z","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":"2026-08-07T00:51:02.082360Z","title":", author Chen, Y","venue":null,"work_id":"b3e3cdcc-be50-4b9c-9b08-205ac0520196","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.452561Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:330cd5393d4b663a5231aecf8a193721d7e791f18075f72891d70ec08e03b380","observation_id":"62b0c7d8-48cb-4b07-807c-4bf4d80cf728","resolution":{"observed_at":"2026-08-07T00:51:02.133100Z","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":"2026-08-07T00:51:01.990738Z","title":", author Zhang, Y","venue":null,"work_id":"e341aef4-865f-40c6-baf2-fed8c6e92156","year":2020},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.514737Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:d265615fcb53a88a1c0758ed76066975ce221652b7ac541df8e8e463e151336e","observation_id":"6cfdffb9-c9a5-49da-bfbd-444e145b6930","resolution":{"observed_at":"2026-08-07T00:51:02.025500Z","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":"2026-08-07T00:51:01.871083Z","title":", author Wang, H","venue":null,"work_id":"017a69c0-30d3-4b50-9f9a-2bf3382e7433","year":2022},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.610847Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:7a20dfdf81c9fef3a2c8f64323ee9e568f2ceda90630f4083d6ecf4440a3d929","observation_id":"68c28838-b350-4662-8e6c-5fb9bff945d2","resolution":{"observed_at":"2026-08-07T00:51:01.918881Z","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":"2026-08-07T00:51:01.741236Z","title":", author Xia, Y","venue":null,"work_id":"bda5cd2a-cfa4-44c1-a223-2c3559423f8e","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.698960Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:a4cd4b9f5571322fbf7af7d59c54cdfaa8c7ff5c158fa5562b3ccf96e06f956b","observation_id":"b2722664-6761-4446-8f00-181f91160c98","resolution":{"observed_at":"2026-08-07T00:51:01.799125Z","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":"2026-08-07T00:51:01.648287Z","title":", author Rosa, K.D","venue":null,"work_id":"2b2009c1-f1f1-401a-901e-623f2262cd61","year":2021},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.761478Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:67aa92618efce5a394b2ff0e4ec818adb5572b99329620ac7d64a1543df8e703","observation_id":"86903809-497e-489f-aac2-9c3603b3789e","resolution":{"observed_at":"2026-08-07T00:51:01.680262Z","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":"2026-08-07T00:51:01.545259Z","title":", author Herrmann, C","venue":null,"work_id":"07e08560-0292-493d-9bf4-542fd09beac3","year":2024},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.853702Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:f761821d1f0707095cb7dbccee593cea3b9615a09cc8cdeb2dfbbc0f18c6b695","observation_id":"004e2d64-458d-499e-85cf-aff0725788a7","resolution":{"observed_at":"2026-08-07T00:51:01.589446Z","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":"2026-08-07T00:51:01.402337Z","title":", author Metaxas, D","venue":null,"work_id":"dfc2e8e4-3281-457d-99cf-9c4caaed7e50","year":2023},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:00.937937Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:2a787eeacd1b833d5ac86ecd64a9b4015e5ed2e1a31ed8efc02b7c00ea5dca2e","observation_id":"99bd1d08-82be-4221-a138-359f17212653","resolution":{"observed_at":"2026-08-07T00:51:01.456202Z","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":"2026-08-07T00:51:01.320359Z","title":", author Liao, B","venue":null,"work_id":"246ba456-c6f0-4ad7-afc2-51f0153d5137","year":2024},"citing_paper":{"arxiv_id":"2506.12747","last_updated":"2025-07-01T07:16:34Z","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation","version":2},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-07T00:51:01.051963Z"},"links":{"citing_paper":"/paper/2506.12747"},"observation_digest":"sha256:440575ab84843ef179746b1081f687ab815fd397ce705c1b98e76614b3306ec4","observation_id":"15a9112c-ee65-45bf-a120-06a7665dcfab","resolution":{"observed_at":"2026-08-07T00:51:01.357347Z","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":"2506.12747","last_updated":"2025-07-01T07:16:34Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T08:57:19.463035Z","submitted_at":"2025-06-15T07:07:14Z","title":"Unleashing Diffusion and State Space Models for Medical Image Segmentation"},"reference_resolution":{"displayed":64,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":1,"verified_fuzzy":62},"total_outbound_references":64},"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 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2506.12747."}