{"as_of":"2026-08-08T22:25:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cc3aa12ff80ac639f9312baf42e745160810c86e37a7315daa98026cd429747c","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:24:52.113492Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+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/2507.08357/citation-record","integrity":"/paper/2507.08357/integrity","json":"/paper/2507.08357/citation-record.json","paper":"/paper/2507.08357"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:24:55.161291Z","title":null,"venue":null,"work_id":"630484ec-e3fd-429a-ba44-88aab2d29a2a","year":2022},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:26.135717Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:d9b59cefec31c0d91acebebccab3f0a775a7a51f7879e7764097d173e02626c6","observation_id":"8deaa42e-af9a-4c1d-9f01-c68ab17149fe","resolution":{"observed_at":"2026-08-06T18:24:55.189524Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:26.235961Z","title":"Data in brief28, 104863 (2020)","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:26.235961Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:d37d5452d0f3fa35e2a7a08d9f07f1b7e18d79368d95a94ae361d923eac30e3b","observation_id":"9e7100e1-0137-46b4-b7f6-6ccc20d96a7b","resolution":{"observed_at":"2026-08-06T18:24:26.235961Z","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":"2026-08-06T18:24:55.076199Z","title":"Advances in Neural Information Processing Systems35, 25005–25017 (2022)","venue":null,"work_id":"b2a6b749-cd0d-48fa-b122-2d7e82355431","year":2022},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:26.364069Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:674ebf3471fa69a02d07466cb7efcd0b2b368fdbe5e53b4390d559e32121f13b","observation_id":"37724020-21ce-49b5-8ba0-eaf4118bdecf","resolution":{"observed_at":"2026-08-06T18:24:55.115484Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:54.995125Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"f890085d-0bf3-4d49-9268-021f1b9b7160","year":2023},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:26.481881Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:439d3caa7240fd9b4a3957626e5ef1e09841c3647e1d7449f65e8338e6b655b9","observation_id":"a21186b4-a462-4a36-87fa-28feba9d107f","resolution":{"observed_at":"2026-08-06T18:24:55.030949Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:54.878319Z","title":"Medical Image Analysis98, 103310 (2024)","venue":null,"work_id":"9108fb24-3824-4195-a9a4-7708790f6d1f","year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:26.555880Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:e2ad948b95799933b3649adaad7c475b09fbb3f82b064d7477b9cd26b26b16f4","observation_id":"5ae22b07-d57a-43af-aa85-abfe7fef6291","resolution":{"observed_at":"2026-08-06T18:24:54.928788Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:50.346608Z","title":"IEEE Transactions on Medical Imaging (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:50.346608Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:82172509329326b00f440aa23e8732e761f3c9e17669d07df81ef9ab82ef216d","observation_id":"5ebb067a-2920-4257-90ba-cb131e40e6ec","resolution":{"observed_at":"2026-08-06T18:24:50.346608Z","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":"2026-08-06T18:24:54.793499Z","title":"In: Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing","venue":null,"work_id":"b822ad0a-1231-42ce-9900-9cae9b7a1606","year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:50.386797Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:9ee9235303332f7182b6ad425d799898c9eee88d245c60a6a4f42160b28680b2","observation_id":"0805ee46-06ba-495f-8940-1cbe861414ab","resolution":{"observed_at":"2026-08-06T18:24:54.830155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:54.682801Z","title":"IEEE Transactions on Medical Imaging (2024) 10 S","venue":null,"work_id":"74c4635f-7ced-4d58-8619-8f8870b8e922","year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:50.462084Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:f3f86a83e1149a1f33cc92a0ccbc105f131e86bab0de58e9a934117ddae8eb2d","observation_id":"5436104c-bcbe-49d4-b498-9866a330c29b","resolution":{"observed_at":"2026-08-06T18:24:54.748473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:54.547843Z","title":null,"venue":null,"work_id":"b3f3fa53-5fb3-409f-b1ad-79fa7c0a4e95","year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:50.577089Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:ff926bae2dcdd2a165c00a4f6a858d21ba42ecd5b886124f0252443db84bbda0","observation_id":"7185d668-458a-49f6-9f41-cbaa2694d93d","resolution":{"observed_at":"2026-08-06T18:24:54.604550Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:50.691695Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:50.691695Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:edf5523d7ca492aeb3b2edd09c40f94bed54b535990afcb25b14be396d320196","observation_id":"a46026ad-77e1-414d-be80-b841381529cf","resolution":{"observed_at":"2026-08-06T18:24:50.691695Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.06256","last_updated":"2024-10-13T19:27:20Z","snapshot_observed_at":"2026-07-06T16:17:26.924098Z","submitted_at":"2023-09-12T14:16:54Z","title":"Mitigating the Alignment Tax of RLHF","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.06256","snapshot_observed_at":"2026-08-06T18:24:50.745763Z","title":"arXiv preprint arXiv:2309.06256 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:50.745763Z"},"links":{"cited_paper":"/paper/2309.06256","citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:c6d225888e2929e7d2504d5f1ce59dcbcfc6dd8ae47fbc4572c60d9b75061654","observation_id":"cf35a2c0-128f-4efe-90fa-6dd0c16c0c5a","resolution":{"observed_at":"2026-08-06T18:24:50.745763Z","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":"2026-08-06T18:24:50.817996Z","title":"Nature Communications15(1), 654 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:50.817996Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:9e68e4bcafac349980c26e061ff0a8d54d3eb52c552a62245c7b7fec692bfe6f","observation_id":"0bb79352-add1-4d04-bf8e-837e0a49bd98","resolution":{"observed_at":"2026-08-06T18:24:50.817996Z","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":"2026-08-06T18:24:50.913997Z","title":"Medical Image Analysis 89, 102918 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:50.913997Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:42e4e66b98f6c0fe23b3a6c8aa3f1c2f04021e694eda6ccdb9d487ab43bd700f","observation_id":"cac12967-a249-421d-8c4b-224ce96e1381","resolution":{"observed_at":"2026-08-06T18:24:50.913997Z","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":"2026-08-06T18:24:54.356149Z","title":"Visual Intelligence 3(1), 1 (2025)","venue":null,"work_id":"ae00b3b9-3022-4aa8-94b0-4fddeb890643","year":2025},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.005809Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:d23017235c69a9442699c619e0fe596c7b09bd6ce675d8869e02445eaf0a56cd","observation_id":"30d0fb85-3dc8-4197-a655-e977b8f51a8a","resolution":{"observed_at":"2026-08-06T18:24:54.448881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.19393","last_updated":"2025-03-01T06:07:39Z","snapshot_observed_at":"2026-07-06T20:29:11.710285Z","submitted_at":"2025-01-31T18:48:08Z","title":"s1: Simple test-time scaling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.19393","snapshot_observed_at":"2026-08-06T18:24:51.088174Z","title":"arXiv preprint arXiv:2501.19393 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.088174Z"},"links":{"cited_paper":"/paper/2501.19393","citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:325a706828e7c0ea3dfe0049b6995423ca10bb4a79b6c943577fefb0dfb42fb3","observation_id":"3b656414-fb93-4f9e-a4ed-3daf15fe1b0c","resolution":{"observed_at":"2026-08-06T18:24:51.088174Z","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":"2026-08-06T18:24:54.210513Z","title":"In: Advances in Visual Computing: 16th International Symposium, ISVC 2021, virtual event, October 4-6, 2021, proceedings, part II","venue":null,"work_id":"9fd3dcc3-6654-4646-856c-e35313cbf819","year":2021},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.121008Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:11502d4c429bfd04838673331ec03ae9b1a096509706b99c65c6f436f45576e8","observation_id":"36e3f21c-b14b-4a58-a2fc-79aa2ff0aca4","resolution":{"observed_at":"2026-08-06T18:24:54.284276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:54.051229Z","title":"Medical Image Analysis59, 101570 (2020)","venue":null,"work_id":"62c740cc-e8f3-4704-85a3-971b785ee3dd","year":2020},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.214138Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:4c03d4b96f56007d4ae28727a60a1ec72ccef0ff22b535a7cdf6b5ecd123fdda","observation_id":"47009201-45e5-46d5-bfc6-0843d8a206d4","resolution":{"observed_at":"2026-08-06T18:24:54.128487Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:51.290403Z","title":"In: International Conference on Machine Learning","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.290403Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:c1d635fab890d26c9ca3d9ab47fa3b6eabf673d6cce0f9b2edf50f5e7e942619","observation_id":"eabff54f-8dfe-4117-9a96-ebc28b21365a","resolution":{"observed_at":"2026-08-06T18:24:51.290403Z","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":"2026-08-06T18:24:53.845095Z","title":"IEEE Transactions on Medical Imaging 34(11), 2366–2378 (2015)","venue":null,"work_id":"748986aa-df73-4d6a-be33-5af28bf684d4","year":2015},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.366561Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:c1eee46bb5b2752137da7aab91692222f0aeeb59e0edd51d9f0d898a8b72f884","observation_id":"e4440317-97a7-43e9-9537-6c124e9a6c3a","resolution":{"observed_at":"2026-08-06T18:24:53.965968Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2408.03314","last_updated":"2024-08-06T17:35:05Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-08-06T17:35:05Z","title":"Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.03314","snapshot_observed_at":"2026-08-06T18:24:51.421765Z","title":"arXiv preprint arXiv:2408.03314 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.421765Z"},"links":{"cited_paper":"/paper/2408.03314","citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:024b863a78c60ad018256661af81abd9c4d13f3a183e7eecd48484c79a35186d","observation_id":"1d7f3934-4482-4cf3-9bbc-901512135339","resolution":{"observed_at":"2026-08-06T18:24:51.421765Z","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":"2304.04748","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:24:52.618477Z","title":"arXiv preprint arXiv:2304.04748 (2023)","venue":null,"work_id":"b09b6ca3-3973-47a1-971d-9d1447870927","year":2023},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.463745Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:96f8eecd5e0e515d1c43f1ccf7b4c2f31b6123ff00e5bf0b7daaf1b23306c9db","observation_id":"27c8e37e-a706-4373-8863-f7ec99886af9","resolution":{"observed_at":"2026-08-06T18:24:52.693194Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:53.695472Z","title":"In: European Conference on Computer Vision","venue":null,"work_id":"c3737253-a822-4beb-8866-4a621022cf3a","year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.507844Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:6787374f4efdf4c43cfd45e2b1ce46506c4e9e034c916205fe5aaa90935c6605","observation_id":"21bdc2a0-886d-44a8-865a-88d2aba22ede","resolution":{"observed_at":"2026-08-06T18:24:53.783034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:51.567935Z","title":"Kaggle (2021), https://doi.org/10.34740/kaggle/dsv/3122958","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.567935Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:c0a258df256b1eb2e621f176b0de767b07ae34b5172a13007857c9a969a17869","observation_id":"7c59978d-1842-4771-89f1-8b4495c16534","resolution":{"observed_at":"2026-08-06T18:24:51.567935Z","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":"2026-08-06T18:24:53.576867Z","title":"Computers in Biology and Medicine148, 105852 (2022) Cycle Context Verification for In-Context Medical Image Segmentation 11","venue":null,"work_id":"1f284a19-df8f-4ec2-989c-c159eedb7ad4","year":2022},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.608325Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:a2881115453d497ee7122e1258820b957efd9cde07d3bff0e8f1e6151d1d8280","observation_id":"b05fc6e8-c1f2-4b49-8632-4d10198a310e","resolution":{"observed_at":"2026-08-06T18:24:53.637070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:53.490993Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition","venue":null,"work_id":"f876f755-6828-4783-a9f7-22b1fae3ecb1","year":2023},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.679397Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:060e43236aeafe5b07a20cc1977a24f7812aede6d61ff6519babef0147457a03","observation_id":"3506d652-0db8-4014-94ff-d450ae3d6712","resolution":{"observed_at":"2026-08-06T18:24:53.537762Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:53.393393Z","title":"In: Proceedings of the IEEE/CVF International Conference on Computer Vision","venue":null,"work_id":"4fd23df3-797b-4418-8174-2943c887276c","year":2023},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.746112Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:a5a3efdd256144bdff628e664a2e98b6f4f56efe4e5c3d445faeded1597bb974","observation_id":"772611c7-1fac-45f6-8c8c-0c98cd362d13","resolution":{"observed_at":"2026-08-06T18:24:53.423683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:53.200385Z","title":"In: International Conference on Medical Image Computing and Computer-Assisted Intervention","venue":null,"work_id":"9b0b4bd3-e82e-4e53-a966-6aff775fc4a8","year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.798562Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:7b8699dbe879d41dd0e36021946bee6f1d18c47ffb3bbf2b92c71cbb0b81d05d","observation_id":"bde059a0-b007-4680-ae9a-a4deeff704a6","resolution":{"observed_at":"2026-08-06T18:24:53.301875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.15279","last_updated":"2024-10-10T11:54:06Z","snapshot_observed_at":"2026-07-06T18:19:08.871953Z","submitted_at":"2024-05-24T07:07:24Z","title":"Towards Global Optimal Visual In-Context Learning Prompt Selection","version":2},"cited_work":{"arxiv_id":"2405.15279","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.15279","snapshot_observed_at":"2026-08-06T18:24:52.302501Z","title":"Towards Global Optimal Visual In-Context Learning Prompt Selection","venue":"cs.CV","work_id":"fe680ab9-4c55-466a-ad64-9c496be4d14d","year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.846522Z"},"links":{"cited_paper":"/paper/2405.15279","citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:7dbd0f47f9188bd014975e8cd4362b096b57a70cb903c6c39bbb14ecb386f74a","observation_id":"bf7c0ed1-dd91-4675-976a-5be30c5d3b04","resolution":{"observed_at":"2026-08-06T18:24:52.391502Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:53.030644Z","title":"Visual Intelligence2(1), 19 (2024)","venue":null,"work_id":"7a543c6c-4a5d-4dad-89b6-208fb4091a62","year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.891558Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:9a2cb17dc4525e870726c60797133157e8498d57e36c58911223a4b50d5b323f","observation_id":"1f447cac-f536-4dde-9253-ceee93745d77","resolution":{"observed_at":"2026-08-06T18:24:53.136876Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:52.950074Z","title":null,"venue":null,"work_id":"f7be5639-37b4-4ec6-81a7-a08cab8fe4e2","year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:51.925935Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:0fa558ba841d8205fad725059405143976641c4a8619e9843c32536ecb2398e7","observation_id":"340fdc8d-7a34-43b2-8efa-9eac5c6c1086","resolution":{"observed_at":"2026-08-06T18:24:52.980821Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:52.875389Z","title":null,"venue":null,"work_id":"d4adc996-23f6-4aca-9f3f-c816021b55c9","year":2023},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:52.002968Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:6504a8a1ac80f4339cc7408e314276d23c52fefcb3138eed94c66639cbda3fb6","observation_id":"92c4de10-6711-498c-a498-062986caaf3b","resolution":{"observed_at":"2026-08-06T18:24:52.912711Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+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":"2026-08-06T18:24:52.775484Z","title":"Nature Methods pp","venue":null,"work_id":"e18eece1-d26b-46c3-84dc-95389407c12a","year":2024},"citing_paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T18:24:52.113492Z"},"links":{"citing_paper":"/paper/2507.08357"},"observation_digest":"sha256:2776ab597b57de8855ba69d652ed78d7b47ed0dac26b231c48adcae4967e9d05","observation_id":"d0069a3d-fdff-4131-9e8f-78b96f8378ba","resolution":{"observed_at":"2026-08-06T18:24:52.829647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.08357","last_updated":"2025-07-11T07:18:01Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T18:18:06.344554Z","submitted_at":"2025-07-11T07:18:01Z","title":"Cycle Context Verification for In-Context Medical Image Segmentation"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":14,"verified_exact":1,"verified_fuzzy":16},"total_outbound_references":32},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.08357."}