{"as_of":"2026-08-20T21:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fad00a155e2bc0e5d8f295d9d404661eea99f130fc0974ad1a7a4d00ec1bebe1","coverage":[{"denominator":68,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":68,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:19:50.675085Z","state":"measured"},{"denominator":68,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":68,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+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/2506.10858/citation-record","integrity":"/paper/2506.10858/integrity","json":"/paper/2506.10858/citation-record.json","paper":"/paper/2506.10858"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:19:51.836383Z","title":"Dataset of breast ultrasound images","venue":null,"work_id":"a5349024-b611-466f-a9fd-4a8913b3a9d1","year":2020},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:46.946054Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:31900c4ba3172fdba57e26e4696e5dd37c29a4b1d8ea5c7282471bea029157d0","observation_id":"3749c2c2-9ba4-463d-a581-ed5f45afa2d3","resolution":{"observed_at":"2026-08-07T04:19:51.841148Z","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":"1709.03199","last_updated":"2017-09-13T18:35:02Z","snapshot_observed_at":"2026-08-16T21:59:57.605521Z","submitted_at":"2017-09-11T00:02:48Z","title":"3D Densely Convolutional Networks for Volumetric Segmentation","version":2},"cited_work":{"arxiv_id":"1709.03199","doi":null,"metadata_source":"pith","pith_arxiv_id":"1709.03199","snapshot_observed_at":"2026-08-07T04:19:51.285488Z","title":"3D Densely Convolutional Networks for Volumetric Segmentation","venue":"cs.CV","work_id":"833c7e9e-aaef-4fcc-af0a-c3475f3e1d73","year":2017},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:46.998598Z"},"links":{"cited_paper":"/paper/1709.03199","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:03e1c31dc15bf9a0c3ec627b1ae9dbce5ac9c7d5eab42ac028bf8128aa32d013","observation_id":"bcbd9bba-716b-4f29-9c85-7f49e0002395","resolution":{"observed_at":"2026-08-07T04:19:51.289858Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2026-08-07T04:19:47.099887Z","title":"Swin-unet: Unet-like pure transformer for medical image segmentation,in:Europeanconferenceoncomputervision,Springer","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.099887Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:5b731e25dcb73686d60392f8334905d79831cf9711496433feb0f35e247f4af2","observation_id":"55f698a0-0240-4057-b384-ea6f9245631b","resolution":{"observed_at":"2026-08-07T04:19:47.099887Z","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":"2026-08-07T04:19:51.817460Z","title":"Aau-net: an adaptive attention u-net for breast lesions segmentation in ultrasound images","venue":null,"work_id":"bcfe52a8-cae0-4bd1-b5df-acd9f48a11ad","year":2022},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.279856Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:a5a0784add8484e0b58ae0f8620c81b510d41f2990a5fe7db3466d6cd06e52b2","observation_id":"3cf5c3fe-9988-4492-8bac-af258a85802b","resolution":{"observed_at":"2026-08-07T04:19:51.821026Z","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":"2102.04306","last_updated":"2021-02-08T16:10:50Z","snapshot_observed_at":"2026-08-19T08:02:16.487223Z","submitted_at":"2021-02-08T16:10:50Z","title":"TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2102.04306","snapshot_observed_at":"2026-08-07T04:19:47.372320Z","title":"Transunet:Transformersmakestrongencoders for medical image segmentation","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.372320Z"},"links":{"cited_paper":"/paper/2102.04306","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:ccb324740d8b00c714e830609bf48810ffaab524a15eb8e9415be5dff2d8dffd","observation_id":"f0711ea7-f971-44c2-9da6-eb0a2bb7fe91","resolution":{"observed_at":"2026-08-07T04:19:47.372320Z","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":"2026-08-07T04:19:51.807312Z","title":"Zig-rir: Zigzag rwkv-in-rwkv for efficient medicalimagesegmentation","venue":null,"work_id":"9ebf06c1-4583-4b23-8293-9a54866271e9","year":2025},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.442931Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:ccda8e5dbb809ec9614ca32b341b66a6aa66333ba1f3e47e0bddde93276f9e10","observation_id":"91d3ae82-7bab-4688-9089-61a0f9696ab6","resolution":{"observed_at":"2026-08-07T04:19:51.810835Z","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":"2026-08-07T04:19:47.543883Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.543883Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:ce154f321d18782b082379c285aea34e85bcd2e0dad25c23d5beda5dd287ece7","observation_id":"7182ce53-23e8-4129-b19f-32a08449669e","resolution":{"observed_at":"2026-08-07T04:19:47.543883Z","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":"2026-08-07T04:19:51.784876Z","title":null,"venue":null,"work_id":"fc74ad20-7c4f-4edf-9166-2163d28cc5f9","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.700477Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:4852049e85358a06d6790dee3b484b07041070d2d3bf2a0c9eb4ad6488841c81","observation_id":"b7cf5f9d-b61e-4c68-acd3-8696826dacaf","resolution":{"observed_at":"2026-08-07T04:19:51.788456Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:19:47.853995Z","title":"Imagenet: A large-scale hierarchical image database, in: 2009 IEEE conferenceoncomputervisionandpatternrecognition,Ieee.pp.248– 255","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.853995Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:3bab869676dcb059f6bb3d283bfa6234f4bfa12087728e4d27480767a5c2c0ad","observation_id":"d3a7bc74-3863-42e7-9c8a-13909be82772","resolution":{"observed_at":"2026-08-07T04:19:47.853995Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-16T09:25:53.087782Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-07T04:19:47.921575Z","title":"Animageisworth16x16words:Transformersforimage recognition at scale","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.921575Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:54b1d8d8fe8739a7bc22bb42a38eb05b8648d994c2cd6f1dc9227f8d168d18ef","observation_id":"d3163082-ec72-415a-b1ec-9bcce90a78f7","resolution":{"observed_at":"2026-08-07T04:19:47.921575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.02308","last_updated":"2025-03-31T06:14:48Z","snapshot_observed_at":"2026-08-19T19:41:21.889660Z","submitted_at":"2024-03-04T18:46:20Z","title":"Vision-RWKV: Efficient and Scalable Visual Perception with RWKV-Like Architectures","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.02308","snapshot_observed_at":"2026-08-07T04:19:47.982217Z","title":"Vision-rwkv: Efficient and scal- able visual perception with rwkv-like architectures","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.982217Z"},"links":{"cited_paper":"/paper/2403.02308","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:9496560511e326ab52739740f229f9e3dc28a7791161b080510ecfc91f2c0354","observation_id":"54af001e-4564-471e-97eb-5dfbeee93f44","resolution":{"observed_at":"2026-08-07T04:19:47.982217Z","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":"2026-08-07T04:19:51.755801Z","title":"Y-net: A spatiospectral dual-encoder network for medical image segmenta- tion, in: International conference on medical image computing and computer-assisted intervention, Springer","venue":null,"work_id":"c16d5790-2a4a-48fe-b9f9-0738bd17bc67","year":2022},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.047160Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:a0dd0e78fc43b4ae2fa98c9d8c52e8676fbf3eae4392dfdc78fb943f2a7e8dff","observation_id":"8ea92232-5cba-4061-939c-bc0a9957b819","resolution":{"observed_at":"2026-08-07T04:19:51.760252Z","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":"2026-08-07T04:19:51.739529Z","title":"Feature extraction technique using discrete wavelet transform for image classification, in: 2007 5th Student Conference on Research and Development, IEEE","venue":null,"work_id":"c36621ef-79b3-46ac-a562-a901cd98fc91","year":2007},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.131067Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:c7ad03781c74c177f92efc2e55c63a72e9ca6b459729ceea7d5119ee499d5f3c","observation_id":"21716399-fdbe-454b-b0a2-f580fc26d9a7","resolution":{"observed_at":"2026-08-07T04:19:51.747179Z","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":"2026-08-07T04:19:51.726499Z","title":null,"venue":null,"work_id":"a221fe60-96b5-4524-9cbe-4ad161db4337","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.179112Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:c02952058fc23c43074fa4476ff8a97e816624fa7f13e4738a3d1451306e24f8","observation_id":"66190504-e44d-4d8f-b24d-48c4caaf069f","resolution":{"observed_at":"2026-08-07T04:19:51.730152Z","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":{"arxiv_id":"2312.00752","last_updated":"2024-05-31T17:55:27Z","snapshot_observed_at":"2026-08-17T20:47:46.242385Z","submitted_at":"2023-12-01T18:01:34Z","title":"Mamba: Linear-Time Sequence Modeling with Selective State Spaces","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.00752","snapshot_observed_at":"2026-08-07T04:19:48.305714Z","title":"Mamba: Linear-time sequence modeling with selective state spaces","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.305714Z"},"links":{"cited_paper":"/paper/2312.00752","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:d77ff7d3cf9f4e05fccafad1ea5b393e000bc7f5367f7623e58a88a80cd29aaa","observation_id":"607fe9c3-8869-4e2a-b7cb-0d3d31fe3d37","resolution":{"observed_at":"2026-08-07T04:19:48.305714Z","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":"2026-08-07T04:19:48.347725Z","title":"Unetr: Transformers for 3d medicalimagesegmentation,in:ProceedingsoftheIEEE/CVFwinter conference on applications of computer vision, pp","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.347725Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:2116ff7050986b84ca689d57a5255f03d84de882de610adbecf52c7fdae54829","observation_id":"d680ca7c-d386-4419-811d-c90f8dc7621b","resolution":{"observed_at":"2026-08-07T04:19:48.347725Z","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":"2026-08-07T04:19:51.694603Z","title":null,"venue":null,"work_id":"55cac89a-da95-46ef-b8ac-3006d7042a63","year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.391191Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:b832396ab794eb4a9dba08e9a2614582d6fbedb8920002e6a1f88b3128a150e8","observation_id":"c52507c7-5083-4ec3-8fe2-627266f9c5cb","resolution":{"observed_at":"2026-08-07T04:19:51.698779Z","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":"2026-08-07T04:19:51.682710Z","title":"Progressive multiscale consistent network for multiclass fundus lesion segmenta- tion","venue":null,"work_id":"ff448e22-22a3-49b4-924c-c7dd4d891a2a","year":2022},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.472036Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:d08861daa4f435f0c53525ce36311566f0bf2beb5a8cc1eaef566c8c9a6c7bbe","observation_id":"772a142f-38c5-436d-9cb5-2885f6467c6a","resolution":{"observed_at":"2026-08-07T04:19:51.686644Z","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":"2026-08-07T04:19:51.671835Z","title":"H2former:An efficienthierarchicalhybridtransformerformedicalimagesegmenta- tion","venue":null,"work_id":"c80ea131-2495-4382-9a21-b1f1e8f06f87","year":2023},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.521841Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:049cfaddcbde4d83393830f905520c00aeb842fd7c44734c86ebe2684217956c","observation_id":"ea915a19-3e18-43b2-a800-d2cf56dd3bdf","resolution":{"observed_at":"2026-08-07T04:19:51.675217Z","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":"2026-08-07T04:19:51.658398Z","title":null,"venue":null,"work_id":"c4f25340-f496-4a50-91f7-7f0824fc5fd5","year":2025},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.604075Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:501484f6140e5654c2e9ac3acfd4f648ca7ed96e4fbf9bc490fd04c2d0e7040c","observation_id":"e63edd77-9bd1-4029-819e-5151a8b01b55","resolution":{"observed_at":"2026-08-07T04:19:51.662475Z","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":"2026-08-07T04:19:51.644297Z","title":"Wavelet-assisted multi-frequency attention network for pansharpen- ing, in: Proceedings of the AAAI Conference on Artificial Intelli- gence, pp","venue":null,"work_id":"4b5c6675-7832-4371-b123-503fd03d1b13","year":2025},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.656149Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:4fa36c6cfed1ab433ebb70973dd507206459feb896818780a2bbb0663da1f3a6","observation_id":"17a96222-6acc-4244-afa7-a776259a8490","resolution":{"observed_at":"2026-08-07T04:19:51.649200Z","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":"2109.07162","last_updated":"2021-12-19T02:50:37Z","snapshot_observed_at":"2026-08-16T17:56:29.444483Z","submitted_at":"2021-09-15T08:56:00Z","title":"MISSFormer: An Effective Medical Image Segmentation Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2109.07162","snapshot_observed_at":"2026-08-07T04:19:48.738394Z","title":"Missformer: An effective medical image segmentation transformer","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.738394Z"},"links":{"cited_paper":"/paper/2109.07162","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:f728fbfddfcf13b1a162175c0ffdf6d5ca39afff82b8db8586c238b4c4eb0f8d","observation_id":"69e05224-4d5c-4f50-874c-3ea1a5e6741c","resolution":{"observed_at":"2026-08-07T04:19:48.738394Z","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":"2026-08-07T04:19:51.631151Z","title":"Polyp2former: Boundary guided network based on transformer for polyp segmentation, in: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE","venue":null,"work_id":"db211140-3574-4611-9c4b-70dee94cb379","year":2023},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.788458Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:b487d73319d93eb33084a7a6f4ec5c2b3ff2f3f26ec75d272ab924865b01c743","observation_id":"3168f603-4c4f-4519-9665-e63bed07c180","resolution":{"observed_at":"2026-08-07T04:19:51.635728Z","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":"2026-08-07T04:19:51.618726Z","title":"Acc-unet: A completely convolutional unet model for the 2020s, in: International conference on medical image computing and computer-assisted intervention, Springer","venue":null,"work_id":"3ecc3990-9bc0-4a44-b714-5dd9c81ae858","year":2023},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.865084Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:5921acf1403d4dc01c4842c09aabb2bf00e422eb042ca76b99f9381d2be2f66c","observation_id":"c8db2a41-e0b5-462a-8738-8d737ec2d3d3","resolution":{"observed_at":"2026-08-07T04:19:51.623036Z","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":"2026-08-07T04:19:51.606723Z","title":"Kvasir-seg: A segmented polyp dataset, in: International conference on multimedia modeling, Springer","venue":null,"work_id":"b5a22971-8ab8-4400-81e9-47390cb1d5e3","year":2019},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.920712Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:35421b5b9257b2c853885e3c52d05ccae46035870c9d48ce73dfe95291705a20","observation_id":"96e835e2-203a-4b78-b4ef-c6eab80855c9","resolution":{"observed_at":"2026-08-07T04:19:51.610981Z","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":"2026-08-07T04:19:49.007081Z","title":"Rwkv-unet: Improving unet with long-range cooperationforeffectivemedicalimagesegmentation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.007081Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:9f0645064b56e38418e03f3ab45203af349be876ffd1144b9d535b02f88f9634","observation_id":"114ef992-5fd7-4463-95b0-4c048f2fa8d8","resolution":{"observed_at":"2026-08-07T04:19:49.007081Z","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":"2026-08-07T04:19:51.593187Z","title":"Mixunet: Mix the 2d and 3d models for robust medical image segmentation, in: 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE","venue":null,"work_id":"7d9e4577-6c20-4321-87cc-3ea94e07241c","year":2023},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.059797Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:5356ed0370105134f4490a418654a9ab651e6f27e96aa780bd144226e988b34d","observation_id":"85882462-080b-4dd5-905f-a2608e5a80cc","resolution":{"observed_at":"2026-08-07T04:19:51.597868Z","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":"2026-08-07T04:19:51.580781Z","title":"H-denseunet: hybrid densely connected unet for liver and tumor segmentationfromctvolumes.IEEEtransactionsonmedicalimaging 37, 2663–2674","venue":null,"work_id":"b7a48318-ba99-4aba-aebf-e5807eba471e","year":2018},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.129665Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:f454b6bcefa26a0fcbf017f45271a72285ef11a2def3eed7611beb760fdc2049","observation_id":"1ff50458-c974-4b7a-b31c-861059c6b653","resolution":{"observed_at":"2026-08-07T04:19:51.585403Z","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":"2026-08-07T04:19:51.568843Z","title":"Can: Context-assisted full attention network for brain tissue segmentation","venue":null,"work_id":"9b9bac01-2dd8-45cd-9d24-f2c3baabdf2f","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.195389Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:b664d07e0ca94de51aa5cf8dd46d7f17a6ff29024d5f012f9d050c70a4c76d1b","observation_id":"fa60b1cb-c888-4f33-b292-92db3aef47c2","resolution":{"observed_at":"2026-08-07T04:19:51.572882Z","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":"2403.05246","last_updated":"2024-03-11T07:14:36Z","snapshot_observed_at":"2026-08-16T14:11:38.918508Z","submitted_at":"2024-03-08T12:07:42Z","title":"LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05246","snapshot_observed_at":"2026-08-07T04:19:49.269808Z","title":"Lightm-unet: Mamba assists in lightweight unet for medical image segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.269808Z"},"links":{"cited_paper":"/paper/2403.05246","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:524b80750ee348db79964a935adf5a9cd99d52524dce2bb26eadca38409b0c5a","observation_id":"85493ec5-b32e-49e0-83b8-b1f9449f0f67","resolution":{"observed_at":"2026-08-07T04:19:49.269808Z","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":"2026-08-07T04:19:51.556428Z","title":"IEEE Transactions on Medical Imaging","venue":null,"work_id":"d7e86798-59dc-4281-ae20-1aae8773c0af","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.274507Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:7adb9826012cb3509d78e2b19605b38482bf420f5b6ec3a140ff850d66fdfd61","observation_id":"6cbe24e2-7f5f-4767-9066-d8b4b5e04b76","resolution":{"observed_at":"2026-08-07T04:19:51.560516Z","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":"2026-08-07T04:19:51.544142Z","title":"Vmamba: Visual state space model","venue":null,"work_id":"ae6f87ff-7f38-4b41-bf18-938356396067","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.278172Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:a498fb5190aca29012080374cbbadcc69f17cd77b6f7ef11ad7abfe3f93f8d0e","observation_id":"89710e10-6002-48a6-bc9e-116cde244da3","resolution":{"observed_at":"2026-08-07T04:19:51.548142Z","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":"2026-08-07T04:19:49.281554Z","title":"V-net: Fully convolu- tional neural networks for volumetric medical image segmentation, in: 2016 fourth international conference on 3D vision (3DV), Ieee","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.281554Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:38841cb3d5e201b41318f449060d46b2911b2d383216b9ab5c1c7de80d14c4de","observation_id":"d71207ab-0b01-4902-9be2-3df7caa8f698","resolution":{"observed_at":"2026-08-07T04:19:49.281554Z","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":"2026-08-07T04:19:49.335520Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.335520Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:688df8719e89987ac9d2a402f9026f4690dd9c1bbd00dff65bf43fe1393026a5","observation_id":"09c59269-8341-4cc1-8787-4a5047d98b14","resolution":{"observed_at":"2026-08-07T04:19:49.335520Z","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":"2026-08-07T04:19:51.515547Z","title":null,"venue":null,"work_id":"6b945a63-a97c-4b86-b171-ccca13d5d35f","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.710065Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:694dbe4a6958b4c75f8fb2a4c19d4b2d2e1474c5802345851840b35aaae213a8","observation_id":"87d7b4d5-e935-4781-9f0b-74333b423dce","resolution":{"observed_at":"2026-08-07T04:19:51.519723Z","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":"2026-08-07T04:19:51.502892Z","title":null,"venue":null,"work_id":"e9bf4fbe-f554-4f58-a1d4-0464d5ebd990","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.087983Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:db3861b6a8ca5c0a26c2a0370a5c03eeb352cf0abbbd73b5dcda7081642ae97b","observation_id":"1f6e575d-6609-4a65-bc87-280826481ec1","resolution":{"observed_at":"2026-08-07T04:19:51.507305Z","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":"2026-08-07T04:19:51.490233Z","title":null,"venue":null,"work_id":"43193972-bbb8-4837-b7f9-3ad96d4d5fbb","year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.447533Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:2006613ad7fec859c877ec21d189c8732154be45f73912594cc1ea9caa2f1231","observation_id":"55f7efee-81a4-4b29-92d6-b3401f3ffb40","resolution":{"observed_at":"2026-08-07T04:19:51.494742Z","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":{"arxiv_id":"1804.03999","last_updated":"2018-05-20T23:33:30Z","snapshot_observed_at":"2026-08-19T16:10:23.498341Z","submitted_at":"2018-04-11T14:13:03Z","title":"Attention U-Net: Learning Where to Look for the Pancreas","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1804.03999","snapshot_observed_at":"2026-08-07T04:19:49.554922Z","title":"arXiv Zhou et al.:Preprint submitted to ElsevierPage 10 of 11 Med-URWKV†: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation preprint arXiv:1804.03999","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.554922Z"},"links":{"cited_paper":"/paper/1804.03999","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:afd4058281fed83f9ed4910a88e308efb2ff2d8988860b0a82bcc2c7e939f6d7","observation_id":"e066f4b4-4ff6-48b2-826f-a88bf9cdbeb8","resolution":{"observed_at":"2026-08-07T04:19:49.554922Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02491","last_updated":"2024-11-08T11:56:04Z","snapshot_observed_at":"2026-08-19T13:18:52.267019Z","submitted_at":"2024-02-04T13:37:21Z","title":"VM-UNet: Vision Mamba UNet for Medical Image Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02491","snapshot_observed_at":"2026-08-07T04:19:50.601768Z","title":"Vm-unet: Vision mamba unet for medical image segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.601768Z"},"links":{"cited_paper":"/paper/2402.02491","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:8a9efe5745d9b3272277f7924b6bbdfd4bc9db719328fd9501089f4f57ad9b7f","observation_id":"c1953a42-7ca6-4804-bcaf-f41954121966","resolution":{"observed_at":"2026-08-07T04:19:50.601768Z","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":"2026-08-07T04:19:51.470965Z","title":null,"venue":null,"work_id":"ad340ad7-ebae-457f-9177-09d4c1d5b1c7","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.605777Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:339e0819fed69631ba71444f5a88bf7adf84c38844d815d1be83766ed0ad4c4c","observation_id":"9a9fbc19-c58c-441b-a8d3-9c71ec8193e8","resolution":{"observed_at":"2026-08-07T04:19:51.475214Z","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":"2026-08-07T04:19:51.446033Z","title":"Unext: Mlp-based rapid medical image segmentation network, in: International conference on medical image computing and computer-assisted intervention, Springer","venue":null,"work_id":"832a7d27-988f-4933-9a24-c5f9874b79e1","year":2022},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.612194Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:7d20e2ee3ae899a5c281299d75254b4e1c673f9010ba540734b5c01a28ed5f29","observation_id":"fefa09ac-f76d-45e1-be35-131cd6ddb602","resolution":{"observed_at":"2026-08-07T04:19:51.450410Z","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":"2026-08-07T04:19:50.614823Z","title":"Attention is all you need","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.614823Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:4bebf0b5bc5ec7ee29e56a7feed3258bf8059e64afa7102283d02ea6bbf62555","observation_id":"637f0efd-1d36-4c27-8d9c-746c5c2c789e","resolution":{"observed_at":"2026-08-07T04:19:50.614823Z","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":"2026-08-07T04:19:51.426013Z","title":"Uctransnet:rethink- ing the skip connections in u-net from a channel-wise perspective withtransformer,in:ProceedingsoftheAAAIconferenceonartificial intelligence, pp","venue":null,"work_id":"f9fc57d6-c090-43a2-afc8-93810ca2abc5","year":2022},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.618095Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:108916c063fb60ef032f53a979f12eba34ab9f3bfd514a4be69df67dc5e09f65","observation_id":"f55e0388-09c0-4496-9d16-db4c0d0f6786","resolution":{"observed_at":"2026-08-07T04:19:51.430399Z","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":"2026-08-07T04:19:50.583840Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.583840Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:07446d34a2804beee4724a38b8581007313cef28dee4a16530429c16393b6c2c","observation_id":"acc7d437-50de-43bf-96a7-dc60b6e69eb3","resolution":{"observed_at":"2026-08-07T04:19:50.583840Z","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":"2026-08-07T04:19:51.413938Z","title":"Large window-based mamba unet for medical image segmentation: Beyond convolution and self-attention","venue":null,"work_id":"aa99b879-3fce-454e-b05b-04c5d054fcbc","year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.624462Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:ad692b4198a1f9263271c9b0888d81d93d47224a9300da9e2c090a54f08204c9","observation_id":"7f1e2842-8dae-47e3-abc8-5f1df6ea0b16","resolution":{"observed_at":"2026-08-07T04:19:51.418173Z","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":"2026-08-07T04:19:51.400999Z","title":"Set: Superpixel embedded transformer for skin lesion segmentation","venue":null,"work_id":"00467305-7d6a-46f4-a0ae-151d79bc8375","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.627473Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:9ab70758926905576841421a172bca5f79fe57d5e178361fb89472a7a7ac6d4a","observation_id":"1349919c-f2dd-4f64-9ec4-7fc78e5fdff7","resolution":{"observed_at":"2026-08-07T04:19:51.405672Z","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":"2403.13642","last_updated":"2024-03-20T14:49:52Z","snapshot_observed_at":"2026-08-16T14:08:00.699208Z","submitted_at":"2024-03-20T14:49:52Z","title":"H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.13642","snapshot_observed_at":"2026-08-07T04:19:50.630972Z","title":"H-vmunet: High-order vision mamba unet for medical image segmentation","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.630972Z"},"links":{"cited_paper":"/paper/2403.13642","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:54f6542da18dab5cad11a6aacd1c7f1712f28530e6d415be3c3903cedec9b44e","observation_id":"3c3cc370-32d0-4be0-afeb-d7cd19c4077a","resolution":{"observed_at":"2026-08-07T04:19:50.630972Z","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":"2026-08-07T04:19:51.388272Z","title":"Mgfuseseg: Attention-guidedmulti-granularityfusionformedicalimagesegmen- tation,in:2023IEEEInternationalConferenceonBioinformaticsand Biomedicine (BIBM), IEEE","venue":null,"work_id":"facab942-99e0-41fc-9f0e-01a6cf1f95d3","year":2023},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.633889Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:bd08096bb6337e19ee86811924ab59fc78644d8c02220d7554a922d5693b9269","observation_id":"31bd76a3-7a66-46f5-8f46-a383d62923d2","resolution":{"observed_at":"2026-08-07T04:19:51.392965Z","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":"2026-08-07T04:19:50.637164Z","title":"Smnet: A semantic guided mamba network for remote sensing change detec- tion","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.637164Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:f1cfed52ed00b94472b4d3d4260121a4b8e5f9280da01715104c408e4e5c87c3","observation_id":"7e13c9e4-6cba-4bee-8a30-13977a1ff0d0","resolution":{"observed_at":"2026-08-07T04:19:50.637164Z","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":"2026-08-07T04:19:51.375117Z","title":"Urwkv: Unified rwkv model with multi-state perspective for low-light image restoration, in: Proceedings of the Computer Vision and Pattern Recognition Conference, pp","venue":null,"work_id":"98109159-1c2a-4953-a767-6dcab919421c","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.640040Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:85e903493baf3fd6d7f0a6f1c762c5a3c03d684a8dc1443e105bbf78243654b8","observation_id":"a2c9e64d-fe33-413d-ac76-ca1aeb75b923","resolution":{"observed_at":"2026-08-07T04:19:51.379232Z","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":"2506.04956","last_updated":"2025-06-05T12:31:02Z","snapshot_observed_at":"2026-08-15T19:29:24.546712Z","submitted_at":"2025-06-05T12:31:02Z","title":"FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation","version":1},"cited_work":{"arxiv_id":"2506.04956","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.04956","snapshot_observed_at":"2026-08-07T04:19:50.995387Z","title":"FEAT: Full-Dimensional Efficient Attention Transformer for Medical Video Generation","venue":"cs.CV","work_id":"d7773405-b153-4e9e-ada7-e833faa8c51c","year":2025},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.621480Z"},"links":{"cited_paper":"/paper/2506.04956","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:62f55b0511ca728f8b7f0369c2c9d5278dc811d617de009e9bf3ebad487ddde3","observation_id":"27ed9b6c-2b8b-46ee-a3d6-268d108c01b0","resolution":{"observed_at":"2026-08-07T04:19:51.002178Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2026-08-07T04:19:51.349592Z","title":null,"venue":null,"work_id":"3fe56e48-45b2-404a-a033-20c6da04c7ba","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.645967Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:c672a953bd3565adc495b60fdda54bf5898358249a976b6fab70533d710dca8d","observation_id":"c701cec7-dde3-483d-8680-c80fa110a05f","resolution":{"observed_at":"2026-08-07T04:19:51.352971Z","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":{"arxiv_id":"2105.14103","last_updated":"2021-09-21T18:04:55Z","snapshot_observed_at":"2026-08-18T19:26:09.782817Z","submitted_at":"2021-05-28T20:45:30Z","title":"An Attention Free Transformer","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.14103","snapshot_observed_at":"2026-08-07T04:19:50.652342Z","title":"An attention free transformer","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.652342Z"},"links":{"cited_paper":"/paper/2105.14103","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:000531499f70f6f2c3fe6a5529c413edc34facb02140158f2ec9f06bd3dfc814","observation_id":"1f8464e2-a8ce-4dea-be75-4ad1350949b0","resolution":{"observed_at":"2026-08-07T04:19:50.652342Z","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":"2026-08-07T04:19:50.655638Z","title":"Out-of-distribution semantic occupancy prediction","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.655638Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:0e2f4465934d3479f667d17a0215e8499c2f1ee8f97ea5e679eb556de610a190","observation_id":"2cbd6bc2-8d9f-4b8c-a6da-601e66e1b286","resolution":{"observed_at":"2026-08-07T04:19:50.655638Z","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":"2026-08-07T04:19:50.658935Z","title":"Smaformer: Synergistic multi-attention transformer for medicalimagesegmentation,in:2024IEEEInternationalConference onBioinformaticsandBiomedicine(BIBM),pp.4048–4053","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.658935Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:7ff8fcf4fa6549fe148cf96b17228bfb5a566e2bea2152491ae89c902b8025ee","observation_id":"767af4dc-a535-4d27-b6df-2a6d6ff6763d","resolution":{"observed_at":"2026-08-07T04:19:50.658935Z","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":"2026-08-07T04:19:51.335865Z","title":"Bsbp-rwkv: Background suppression with boundary preservation for efficient medical image segmentation, in: Proceedingsofthe32ndACMInternationalConferenceonMultime- dia, pp","venue":null,"work_id":"8dea16e0-1565-46a9-8ae8-8288122e0e3e","year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.661798Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:46f7ce9ecc4b75434950b3aa796683724cfc15d7a4e1aabf8d840241c1641b1b","observation_id":"c2633a55-b638-42b0-93a9-c2f3c4a7e666","resolution":{"observed_at":"2026-08-07T04:19:51.340640Z","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":"2026-08-07T04:19:51.323178Z","title":null,"venue":null,"work_id":"6016ced6-e152-4fd7-8b9c-826351e2213c","year":2023},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.665062Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:f037fdf5d5426ad9899b17943593ea4a868f10f926226b5a26ae7e987c2ac702","observation_id":"7089423f-a886-4a1e-b915-f954eda7e005","resolution":{"observed_at":"2026-08-07T04:19:51.327716Z","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":"2026-08-07T04:19:51.361929Z","title":null,"venue":null,"work_id":"259e29d2-768b-4e3f-a093-1d17fb272105","year":2025},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.642846Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:a72078b4cfd6225f58b77303ecb92d1b296c32b82a0e51f7811126891f01ed2b","observation_id":"97c68aab-efbe-44a9-afe2-5d866cb337e4","resolution":{"observed_at":"2026-08-07T04:19:51.367045Z","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":"2026-08-07T04:19:51.298636Z","title":"Unet++: Redesigning skip connections to exploit multiscale features in image segmentation","venue":null,"work_id":"4dfd2d7c-6313-4dde-818e-7fa91f4fcaf6","year":2019},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.671893Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:653e123fc2ea42e8265da28e48aff0715804c306560756f3caa53e081e29a43b","observation_id":"bcad3903-b2da-4cf2-a084-eca3d76c5d08","resolution":{"observed_at":"2026-08-07T04:19:51.302914Z","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":"2406.19369","last_updated":"2024-06-27T17:49:25Z","snapshot_observed_at":"2026-08-16T17:17:24.719745Z","submitted_at":"2024-06-27T17:49:25Z","title":"Mamba or RWKV: Exploring High-Quality and High-Efficiency Segment Anything Model","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.19369","snapshot_observed_at":"2026-08-07T04:19:50.648828Z","title":"arXiv preprint arXiv:2406.19369","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.648828Z"},"links":{"cited_paper":"/paper/2406.19369","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:385709be9537582a602d392b03fc2230307cb69bdf1867126eaab601487a64d7","observation_id":"37d72b86-6c4b-4f01-9a33-c789a8a408f3","resolution":{"observed_at":"2026-08-07T04:19:50.648828Z","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":"2026-08-07T04:19:51.310989Z","title":"Spatial- frequency dual domain attention network for medical image segmen- tation,in:2024IEEEInternationalConferenceonBioinformaticsand Biomedicine (BIBM), IEEE","venue":null,"work_id":"1d7622f5-069c-44bf-abda-3e8bf3f7a172","year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.668741Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:d701bf325855790d3ea350c97682c5ea898b9af3715aae17029d42174e6cb3af","observation_id":"ce5c3367-b811-44d3-a934-0c63a927b673","resolution":{"observed_at":"2026-08-07T04:19:51.315063Z","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":"2026-08-07T04:19:50.675085Z","title":"Personalizable long- context symbolic music infilling with midi-rwkv","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.675085Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:56902a78778e06b4d0816fa67fa7ac21a36c9d6b2678efcc858a8ef7b0261092","observation_id":"e5fe99f8-f9b0-4823-9093-c121cdec1324","resolution":{"observed_at":"2026-08-07T04:19:50.675085Z","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":"2026-08-07T04:19:47.638560Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.638560Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:ce786f924b463ba6d36ad1b8ca1394b82bbdaae2748ad245951ad85e0f1c4fa0","observation_id":"a2c1bd9c-24e3-4227-9b64-5e2c4a170fbb","resolution":{"observed_at":"2026-08-07T04:19:47.638560Z","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":"2026-08-07T04:19:51.458830Z","title":"Medical image analysis 35, 489–502","venue":null,"work_id":"fbb1e09c-2893-4247-9bec-dfc5efc0020a","year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.608814Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:5694d1c8cb338fc27e07339a9166cfad9ed874068725b3860dd7c1ebb20d4ea2","observation_id":"e81feb45-2001-491f-8f10-d81acc69def2","resolution":{"observed_at":"2026-08-07T04:19:51.463069Z","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":"2026-08-07T04:19:51.774677Z","title":null,"venue":null,"work_id":"db7cd3b3-f7e5-4ca5-bc80-99937b76f4de","year":2017},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:47.800049Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:4b39ca8e1975848e9ac75c577ac0336f41659354771d155c9847b180d37282df","observation_id":"97fd0a22-3000-45d3-81fd-4b95d4877cb6","resolution":{"observed_at":"2026-08-07T04:19:51.778125Z","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":{"arxiv_id":"2305.13048","last_updated":"2023-12-11T03:58:56Z","snapshot_observed_at":"2026-08-17T17:58:38.402665Z","submitted_at":"2023-05-22T13:57:41Z","title":"RWKV: Reinventing RNNs for the Transformer Era","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.13048","snapshot_observed_at":"2026-08-07T04:19:49.892673Z","title":"arXivpreprint arXiv:2305.13048","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:49.892673Z"},"links":{"cited_paper":"/paper/2305.13048","citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:db9e4ac8172b1478c38bff3e24c726f943e0c5f9113c61ea5b53ee533831788b","observation_id":"7047b697-e9ff-4e02-91e6-e1f157b573be","resolution":{"observed_at":"2026-08-07T04:19:49.892673Z","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":"2026-08-07T04:19:50.316298Z","title":"4261–4268","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:50.316298Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:07042eaaa542269b14d87511fbc2f2a68ee88a6e5656c8ec80c064be136b8541","observation_id":"9c8a8680-6494-454f-b88b-e33bfba78891","resolution":{"observed_at":"2026-08-07T04:19:50.316298Z","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":"2026-08-07T04:19:51.713242Z","title":null,"venue":null,"work_id":"fd0b17e0-1bf5-4e11-9673-1df913f89224","year":2025},"citing_paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-07T04:19:48.256962Z"},"links":{"citing_paper":"/paper/2506.10858"},"observation_digest":"sha256:e66e5a3c0da888fb8b9f2fba0dbfcedf3a52fe4da0e71e546f94d72031d44620","observation_id":"4d167c54-c9f2-4434-9a00-d43b716cc2c7","resolution":{"observed_at":"2026-08-07T04:19:51.717726Z","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"}}],"paper":{"arxiv_id":"2506.10858","last_updated":"2026-05-30T15:52:35Z","latest_version":2,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-16T21:59:12.535267Z","submitted_at":"2025-06-12T16:19:18Z","title":"Med-URWKV{\\dag}: Toward Enhanced Pretrained Pure VRWKV Models for Medical Image Segmentation"},"reference_resolution":{"displayed":68,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":40,"verified_exact":0,"verified_fuzzy":26},"total_outbound_references":68},"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 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2506.10858."}