{"as_of":"2026-08-20T20:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6d0915ba6e35a093a029682ebb62fac952fa277c8d67421ff6a5d2f5df5570ab","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:53:48.232877Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T20:53:47.163086Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-10T20:53:48.330102Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"cited_work":{"arxiv_id":"2501.07017","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.07017","snapshot_observed_at":"2026-08-10T20:53:48.330102Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","venue":"cs.CV","work_id":"37327cd7-4acc-4ea4-af6f-a13266e24079","year":2025},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.163086Z"},"links":{"cited_paper":"/paper/2501.07017","citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:1452f27f33f41f6ee784c7bd10707991caac95135040a1c848656895c60b1900","observation_id":"f5107103-e7ed-42d6-94c1-8554c578cd6f","resolution":{"observed_at":"2026-08-10T20:53:48.373528Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.07017/citation-record","integrity":"/paper/2501.07017/integrity","json":"/paper/2501.07017/citation-record.json","paper":"/paper/2501.07017"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"cited_work":{"arxiv_id":"2501.07017","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.07017","snapshot_observed_at":"2026-08-10T20:53:48.330102Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","venue":"cs.CV","work_id":"37327cd7-4acc-4ea4-af6f-a13266e24079","year":2025},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.163086Z"},"links":{"cited_paper":"/paper/2501.07017","citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:1452f27f33f41f6ee784c7bd10707991caac95135040a1c848656895c60b1900","observation_id":"f5107103-e7ed-42d6-94c1-8554c578cd6f","resolution":{"observed_at":"2026-08-10T20:53:48.373528Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:49.167898Z","title":"Architecture Overview We present the overall architecture of our UNETVL model in Fig","venue":null,"work_id":"5abaca7a-a956-4009-a31f-3b51a25cc9d6","year":null},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.231455Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:ae21508cc90be4942199a353df80fc58c5274d2b4b3241e9dc1b6925800ecc67","observation_id":"752dbf46-62b7-41f2-ab15-a7c75a1be8b1","resolution":{"observed_at":"2026-08-10T20:53:49.204721Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:49.147719Z","title":null,"venue":null,"work_id":"2ab2c005-3a25-4d6e-ab08-a7b14386330d","year":2022},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.282333Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:e7a1235649f9c4b2a4d0895296ccab27a2d9b78465ca32970a95571987c29c85","observation_id":"2b1b7490-2d43-4cf4-a5e5-c2a028bfb09a","resolution":{"observed_at":"2026-08-10T20:53:49.153789Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:49.085844Z","title":"As shown in Table 1, when comparing the performance of the ViL architecture with Chebyshev KAN to the UNETR baseline, a signifi- cant improvement is observed","venue":null,"work_id":"e377ddc4-1d64-474f-838d-95dd5111e925","year":2022},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.288635Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:ee5c3947d531be30389dd0ca9d01e68b91268621e7bb696d2f57f5d87a9d8538","observation_id":"3f28bfeb-9552-46ae-840b-22ac9d1b4c12","resolution":{"observed_at":"2026-08-10T20:53:49.135688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:48.955216Z","title":null,"venue":null,"work_id":"42ea9197-72b4-40b5-8ebc-64576656a123","year":null},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.297003Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:3f0407161dec1b3421f131a9d6dbc20306c6c21a8b5c727d0ff23cd81b6f3a7a","observation_id":"5f349a99-5402-49b6-8e5f-6c0fb844ea41","resolution":{"observed_at":"2026-08-10T20:53:49.002094Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:48.941767Z","title":"[6] and Ji et al","venue":null,"work_id":"cc056258-3c4a-4794-bb04-fee4a256b29e","year":null},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.353514Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:ff189c344c47152c52a16b5d750b985a728cee1e2ab52fa92ccab3f896c32b41","observation_id":"5c663d54-ff5a-4c00-ad31-75519f833a32","resolution":{"observed_at":"2026-08-10T20:53:48.946085Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T20:53:47.465949Z","title":"Unetr: Transformers for 3d medical image segmentation,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.465949Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:8dd74aa4d1276055b2571b0a9e547112dab2ba0a296ba637fd14126d383a1a8d","observation_id":"27d249c6-f89e-4093-b2e5-34b474a0b3d6","resolution":{"observed_at":"2026-08-10T20:53:47.465949Z","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":"2026-08-10T20:53:47.752825Z","title":"U-net: Convolutional networks for biomedical im- age segmentation,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.752825Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:30ca088aaa6dfbbf8709dcbbf1805de4019d2a50478d1241ff0e849232a675b1","observation_id":"7b37f776-ad8c-4abc-a303-72b9fca4bd09","resolution":{"observed_at":"2026-08-10T20:53:47.752825Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.04517","last_updated":"2024-12-06T15:42:07Z","snapshot_observed_at":"2026-08-16T13:54:34.627474Z","submitted_at":"2024-05-07T17:50:21Z","title":"xLSTM: Extended Long Short-Term Memory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.04517","snapshot_observed_at":"2026-08-10T20:53:47.758173Z","title":"xlstm: Extended long short-term memory,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.758173Z"},"links":{"cited_paper":"/paper/2405.04517","citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:a54ff014f5870572304cf53214a1f7e330e46d8c0c0f065f7c0d980db2d7dbfc","observation_id":"785d6d75-ce5f-4e08-8e0a-46fd10169b61","resolution":{"observed_at":"2026-08-10T20:53:47.758173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04303","last_updated":"2025-02-20T23:20:40Z","snapshot_observed_at":"2026-08-16T13:45:25.126444Z","submitted_at":"2024-06-06T17:49:21Z","title":"Vision-LSTM: xLSTM as Generic Vision Backbone","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04303","snapshot_observed_at":"2026-08-10T20:53:47.764682Z","title":"Vision- lstm: xlstm as generic vision backbone,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.764682Z"},"links":{"cited_paper":"/paper/2406.04303","citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:e1cfbc509bc5fc1499c1bbdb318d40d684d4899173cbe4f0a362f2342d2f10fb","observation_id":"d3ede015-e191-41aa-a7ed-a251b906989c","resolution":{"observed_at":"2026-08-10T20:53:47.764682Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.19756","last_updated":"2025-02-09T21:09:09Z","snapshot_observed_at":"2026-08-15T02:33:31.807561Z","submitted_at":"2024-04-30T17:58:29Z","title":"KAN: Kolmogorov-Arnold Networks","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.19756","snapshot_observed_at":"2026-08-10T20:53:47.770455Z","title":"Kan: Kolmogorov-arnold net- works,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.770455Z"},"links":{"cited_paper":"/paper/2404.19756","citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:37ef6e21d0cfb86c275bd58f1509929919a9c7a0426847da35225ae11520fb97","observation_id":"b83f39c2-94a3-41cc-9b14-5a9024516157","resolution":{"observed_at":"2026-08-10T20:53:47.770455Z","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":"2026-08-10T20:53:48.798295Z","title":"Deep learning techniques for automatic mri cardiac multi-structures segmentation and diagnosis: is the problem solved?,","venue":null,"work_id":"74874922-4cb0-4481-bdf3-769bb1deb8a4","year":2018},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.775774Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:dbb72325d67a24e572b382cfc8e1535c91ccc4931d1427a96f2a33eab8ff48ce","observation_id":"d931e120-fbe3-42f5-9fce-5bd5eecfbe8c","resolution":{"observed_at":"2026-08-10T20:53:48.915428Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:48.775535Z","title":"Amos: A large-scale abdominal multi-organ benchmark for versa- tile medical image segmentation,","venue":null,"work_id":"0b78e409-2387-4ce0-a821-9e900ef2e60e","year":2022},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.794989Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:8ebc1cc27200b6a5607bf324083dee42dc3dc143d523aeb82a6b66292da35352","observation_id":"c7f9dedd-f8c3-46da-a81f-a90d844ccc4b","resolution":{"observed_at":"2026-08-10T20:53:48.780589Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:48.760428Z","title":"nnu-net revisited: A call for rig- orous validation in 3d medical image segmentation,","venue":null,"work_id":"b332f5f8-84b1-4dbd-8601-732121b0836e","year":2024},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.858669Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:f34022d8f3c65e9e0115906e25f9c1dd4cc45d3ed5204306204047f5dc0d423b","observation_id":"8aef2c01-07fa-4d78-afa2-a219d93d0e13","resolution":{"observed_at":"2026-08-10T20:53:48.765913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07200","last_updated":"2024-06-14T15:46:11Z","snapshot_observed_at":"2026-08-16T13:53:26.708635Z","submitted_at":"2024-05-12T07:55:43Z","title":"Chebyshev Polynomial-Based Kolmogorov-Arnold Networks: An Efficient Architecture for Nonlinear Function Approximation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07200","snapshot_observed_at":"2026-08-10T20:53:47.960521Z","title":"Chebyshev polynomial-based kolmogorov-arnold networks: An efficient archi- tecture for nonlinear function approximation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:47.960521Z"},"links":{"cited_paper":"/paper/2405.07200","citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:d7577c5bbb434a0310e4a09848dc451147641aa18a15e91f7c2890008be9d614","observation_id":"e44af1cd-4d98-4596-a771-6a61826a897b","resolution":{"observed_at":"2026-08-10T20:53:47.960521Z","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":"2026-08-10T20:53:48.025120Z","title":"nnu-net: a self- configuring method for deep learning-based biomedical image segmentation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.025120Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:fbea063c8b8e994ce980c075367c217a3102111fa93e0ca5391b89c6dcdcf086","observation_id":"4f7d6c25-97de-4ee6-abc7-85966f3645e4","resolution":{"observed_at":"2026-08-10T20:53:48.025120Z","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":"2026-08-10T20:53:48.030787Z","title":"Swin unetr: Swin transformers for semantic segmentation of brain tumors in mri images,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.030787Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:5525e845c43bc17404186c435fc0107a5cf935f4687c629fcf1ac153d886d331","observation_id":"ebb4fc51-ebbb-4384-ba1c-25f53996adb5","resolution":{"observed_at":"2026-08-10T20:53:48.030787Z","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":"2026-08-10T20:53:48.695192Z","title":"Swinunetr- v2: Stronger swin transformers with stagewise convo- lutions for 3d medical image segmentation,","venue":null,"work_id":"e484752b-a239-4dd8-a3b8-19c38200d4d4","year":2023},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.036897Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:8b30ccded43c1b0fbcad0639214414d4273bf7eb31976bdfcbb7cb5328ec6f97","observation_id":"bdc5e1ea-00f2-4e35-a2bd-0679bf974ec8","resolution":{"observed_at":"2026-08-10T20:53:48.731480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:48.553754Z","title":"nnformer: V olumetric medical image segmenta- tion via a 3d transformer,","venue":null,"work_id":"b2b1b69c-29cb-4f4e-b94a-c6fa377e01be","year":2023},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.075834Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:e2da9e5e3cf382d6280fb3bde2e51962cb9a748f1333fcf8e9e08cd3877760ab","observation_id":"17821a0b-336d-4c0d-aacb-761ec2a1a669","resolution":{"observed_at":"2026-08-10T20:53:48.596152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:48.536389Z","title":"Cotr: Efficiently bridging cnn and transformer for 3d medical image segmentation,","venue":null,"work_id":"dbfd5672-d718-4d43-aff4-eaa3fc7bc063","year":2021},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.165782Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:67e1ed7984cff898408fbdc86b3c6145461d53566e69dcd573f001954b1c5e31","observation_id":"16ec8fe9-94e6-48ee-afb8-057fbd0e735a","resolution":{"observed_at":"2026-08-10T20:53:48.543303Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:48.403518Z","title":"Sam3d: Segment any- thing model in volumetric medical images,","venue":null,"work_id":"b144fd3f-7a91-4def-8c40-2a96ae208ea7","year":2024},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.227416Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:6965478b9a31f02fdef1848fef2f5fbb079ad4d1550482fb9ab3520ddc0f961d","observation_id":"4c691280-2560-453c-8eb7-0395e000f620","resolution":{"observed_at":"2026-08-10T20:53:48.441452Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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":"2026-08-10T20:53:48.385766Z","title":"U-kan makes strong backbone for medical image seg- mentation and generation,","venue":null,"work_id":"8f2f4687-b215-488d-988f-157dc1e65b6c","year":2024},"citing_paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-10T20:53:48.232877Z"},"links":{"citing_paper":"/paper/2501.07017"},"observation_digest":"sha256:6e652443f25dbe56222429b4bc1a89ccbedd83097de40bc70577fee4ac4e2279","observation_id":"b0ebe475-ae71-4acf-83a5-ade38c8f3074","resolution":{"observed_at":"2026-08-10T20:53:48.390789Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2501.07017","last_updated":"2025-01-19T19:06:32Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T12:06:54.796767Z","submitted_at":"2025-01-13T02:33:28Z","title":"UNetVL: Enhancing 3D Medical Image Segmentation with Chebyshev KAN Powered Vision-LSTM"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":1,"verified_fuzzy":11},"total_outbound_references":22},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2501.07017."}