{"as_of":"2026-08-05T04:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:184e329d5693615c0da7772dcfc3f890b182e8b533e3c39b67a73b956cdc12dd","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T23:50:20.553474Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+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/2607.15231/citation-record","integrity":"/paper/2607.15231/integrity","json":"/paper/2607.15231/citation-record.json","paper":"/paper/2607.15231"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-01T23:50:18.813065Z","title":"EClinicalMedicine , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:18.813065Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:b1ed96ed27aa1bb56be9bb3ecb088dd4139b5c9185e2bffec5240dabbaaf69ce","observation_id":"f3a01ad7-c323-4f5d-ae34-ddf4d27d55fe","resolution":{"observed_at":"2026-08-01T23:50:18.813065Z","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":"2026-08-01T23:50:18.892630Z","title":"Nature Computational Science , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:18.892630Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:340ba559d1abd6984d2a259f580774025622ae9fa15dab4385d96c8b8f21f92a","observation_id":"2360d988-8c2b-4317-9b21-4d911dd48e5a","resolution":{"observed_at":"2026-08-01T23:50:18.892630Z","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":"2026-08-01T23:50:18.958676Z","title":"IEEE Transactions on Medical Imaging , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:18.958676Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:d04b94220858e5c6c2b802534495be69e45ce476bd6b42783bd51e67f193b8f7","observation_id":"a7be20e1-f009-47ff-8e4f-3abb7fc500c8","resolution":{"observed_at":"2026-08-01T23:50:18.958676Z","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":"2026-08-01T23:50:19.056461Z","title":"Proceedings of the IEEE , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.056461Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:e2775b8c910be73defb9bff9c3412720475a7d33432750d94105d570f5f0e88e","observation_id":"94bebac9-d7f5-4470-b375-ac1fde87a183","resolution":{"observed_at":"2026-08-01T23:50:19.056461Z","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":"2026-08-01T23:50:19.141455Z","title":"Medical Image Analysis , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.141455Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:5cecb247903fd70aaba5d7a8ef9edb68aef30cafcfcef3730b88c5ef1e58439a","observation_id":"4c362d39-cc5c-4ccd-9a22-be6237c2e77f","resolution":{"observed_at":"2026-08-01T23:50:19.141455Z","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":"2026-08-01T23:50:19.221677Z","title":"International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.221677Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:c00971554ae0e596b2059de11ae286f77426ccfdb214339343386bb23d66335d","observation_id":"6246cd6b-e564-4fbd-b6d1-9b4ca49ee4b1","resolution":{"observed_at":"2026-08-01T23:50:19.221677Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.04407","last_updated":"2024-07-05T10:43:41Z","snapshot_observed_at":"2026-08-05T03:25:14.794221Z","submitted_at":"2024-07-05T10:43:41Z","title":"Trustworthy Classification through Rank-Based Conformal Prediction Sets","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.04407","snapshot_observed_at":"2026-08-01T23:50:19.305782Z","title":"arXiv preprint arXiv:2407.04407 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.305782Z"},"links":{"cited_paper":"/paper/2407.04407","citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:4057e179c50d246297520c286c77fe070f963945adb5cd2fe7bef40fb3e4637a","observation_id":"b8f5d645-6dc7-4524-a203-63d8384c5002","resolution":{"observed_at":"2026-08-01T23:50:19.305782Z","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":"2026-08-01T23:50:19.385744Z","title":"Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.385744Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:fe1364d7825d37e63bba21ddd1d8badd040fafc092ba9b6e917d91345148b9ed","observation_id":"0adba85a-ebf8-4bb5-9a0f-a8fd84c8c451","resolution":{"observed_at":"2026-08-01T23:50:19.385744Z","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":"2026-08-01T23:50:19.457014Z","title":"International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.457014Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:878d2f2fcc7fbb3259a7ea2a68f2848d4be89c4dda51c56bef3712ef231531bc","observation_id":"ece9acdc-7ee9-4f72-bf55-5127d4940c6d","resolution":{"observed_at":"2026-08-01T23:50:19.457014Z","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":"2026-08-01T23:50:19.525081Z","title":"International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.525081Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:22c8f3e5db7f9d96d3e701a1892bfae7c9e7a72c7903b980ca46b1932175a917","observation_id":"5f92fde3-a676-4647-aaea-d67dbdc86058","resolution":{"observed_at":"2026-08-01T23:50:19.525081Z","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":"2026-08-01T23:50:19.591801Z","title":"Neural Networks , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.591801Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:61e0a8c010590e7ea69af516c38a2688cac607bb8ec36553418e5d4050e34226","observation_id":"eaa9189c-fd94-4220-bd65-650c93c2d905","resolution":{"observed_at":"2026-08-01T23:50:19.591801Z","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":"2026-08-01T23:50:19.660590Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.660590Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:429c6060fa5c9af97fa0f9af2569b955d738ac17a8d239731793ef6b28254854","observation_id":"d1b47953-ca82-4f8d-b8e7-896f59fbc64e","resolution":{"observed_at":"2026-08-01T23:50:19.660590Z","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":"2026-08-01T23:50:19.746792Z","title":"Proceedings of the European Conference on Computer Vision (ECCV) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.746792Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:d2741d6902f07990550d5e9e4bd2c37068bfe1fb95f341d7d8dddaa1d5c27f16","observation_id":"9f65c42c-79f9-4882-b873-781727dce88b","resolution":{"observed_at":"2026-08-01T23:50:19.746792Z","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":"2026-08-01T23:50:19.828884Z","title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.828884Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:926179d70826ac17e147685e63c483f2afd8fb305fe7ce848cbdd96534ba5673","observation_id":"880d1365-44a3-4560-96a4-555356da8e25","resolution":{"observed_at":"2026-08-01T23:50:19.828884Z","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":"2026-08-01T23:50:19.909808Z","title":"International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.909808Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:ac42ed65cc352476bcf67285927c93706201267fbff1fac95729dd5370ad7812","observation_id":"43e45951-e5fd-4b94-80d2-893c21a63de4","resolution":{"observed_at":"2026-08-01T23:50:19.909808Z","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":"2026-08-01T23:50:19.989937Z","title":"Medical Image Analysis , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:19.989937Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:655da16bceb46eba214a8dd7a422d93d6254780e3dd64762904343e581c01fc9","observation_id":"1ac5f647-1630-43a2-9b00-63df99a61e2b","resolution":{"observed_at":"2026-08-01T23:50:19.989937Z","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":"2026-08-01T23:50:20.041055Z","title":"IEEE Transactions on Medical Imaging , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:20.041055Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:41121f227fc3dd546513e1b5353a955611c7df82c7434297ffd20aa29d2738a3","observation_id":"7dce858b-0558-4a1a-b878-b830df3426de","resolution":{"observed_at":"2026-08-01T23:50:20.041055Z","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":"2026-08-01T23:50:20.103808Z","title":"International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:20.103808Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:a4a3be623443f12716c40320702366a8e83cfbc450f378fbdabcc54df9410b85","observation_id":"c8b64f69-8e93-4219-a2c2-645844f299ae","resolution":{"observed_at":"2026-08-01T23:50:20.103808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.10963","last_updated":"2021-01-14T21:11:06Z","snapshot_observed_at":"2026-08-03T16:39:55.008263Z","submitted_at":"2020-06-19T05:08:43Z","title":"Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.10963","snapshot_observed_at":"2026-08-01T23:50:20.188132Z","title":"arXiv preprint arXiv:2006.10963 , year=","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:20.188132Z"},"links":{"cited_paper":"/paper/2006.10963","citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:2db9cf3d3707a75a6f86512da9c9c24fbd442c144057ed068fd116171722dbc2","observation_id":"19c0fac8-4415-42ef-afa6-e5137e2819e5","resolution":{"observed_at":"2026-08-01T23:50:20.188132Z","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":"2026-08-01T23:50:20.248753Z","title":"Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:20.248753Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:ce07088f6a18143a129f3c615b6284039c5706055f81a06f22cdfa81042ea649","observation_id":"08a7a835-ebf1-4a5c-ae8c-3363c808e934","resolution":{"observed_at":"2026-08-01T23:50:20.248753Z","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":"2026-08-01T23:50:20.333231Z","title":"IET Image Processing , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:20.333231Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:c756628ceb49bf956bfcb623ead8df931e281ccbf64d973517b1e24b0a2ea918","observation_id":"f4c98718-22d6-46c6-bb6e-8455c5a8408f","resolution":{"observed_at":"2026-08-01T23:50:20.333231Z","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":"2026-08-01T23:50:20.401283Z","title":"Nature Machine Intelligence , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:20.401283Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:97d296245253fd52e9c70d6d5e05d735385e88bc56cc867ccf92b6e78fe6e0ce","observation_id":"c9cc7725-ac19-49bb-8d23-58e0ef7a5fa0","resolution":{"observed_at":"2026-08-01T23:50:20.401283Z","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":"2026-08-01T23:50:20.472395Z","title":"Journal of Machine Learning Research , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:20.472395Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:8dd53b81fd4b2c77fd5a940aa7f0868aaad3f70ed3beed6959fd106417c89364","observation_id":"cc557c89-d412-49c7-a28a-cdc2500b2b7b","resolution":{"observed_at":"2026-08-01T23:50:20.472395Z","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":"2026-08-01T23:50:20.553474Z","title":"Nature Communications , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-01T23:50:20.553474Z"},"links":{"citing_paper":"/paper/2607.15231"},"observation_digest":"sha256:2776b0778f7630333ec619ce21c96cd1dc56ea8e0a954ff6945cc1579b090669","observation_id":"dbfcde13-b795-4e44-9af9-ffa424efba3e","resolution":{"observed_at":"2026-08-01T23:50:20.553474Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.15231","last_updated":"2026-07-16T17:32:26Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-01T23:50:17.315727Z","submitted_at":"2026-07-16T17:32:26Z","title":"CRISP: Constrained Refinement via Iterative Squeezing Process for Robust Medical Image Segmentation under Domain Shift"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":24,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":24},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.15231."}