{"as_of":"2026-08-19T16:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:27c75e2ed487e5bb11d5fae254c20d7caf09a80b0646ee24320233f843f3b002","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T21:54:43.792514Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+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/2506.23086/citation-record","integrity":"/paper/2506.23086/integrity","json":"/paper/2506.23086/citation-record.json","paper":"/paper/2506.23086"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T21:54:44.275014Z","title":"In: Proceedings of the AAAI Conference on Artificial Intelligence, Vol","venue":null,"work_id":"b0c30117-e90f-4b21-a5d8-899180522d36","year":2024},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.484641Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:f302c011be5322912857bc52454f2e3d99286a503e9c37cf103c56b4823123ac","observation_id":"0fca66c5-a78f-4df6-8b42-3b84b1afae7a","resolution":{"observed_at":"2026-08-06T21:54:44.284316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.254991Z","title":"IEEE Transactions on Medical Imaging, 40(1), 262-273 (2020)","venue":null,"work_id":"88ba3724-e1a6-4ccb-ac36-be304051746a","year":2020},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.584345Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:470e8ab162d75f8ca6152cf9fc9b673c33e75039c834ec12ff039e1753e5e9ac","observation_id":"274fc000-99b8-40d9-a8bd-c23f82324aa1","resolution":{"observed_at":"2026-08-06T21:54:44.262316Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.226322Z","title":"A., Išgum, I.: Iterative fully con- volutional neural networks for automatic vertebra segmentation and identification","venue":null,"work_id":"81b923ca-8cf7-42e5-a01f-cee97d2bd63d","year":2019},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.635139Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:d779cc92d90380f1acab9ba46cc487ac21c6aca4b44f12b57afc2f34bb0611a1","observation_id":"fecd1543-79e9-4d93-afb4-05d56e1d5700","resolution":{"observed_at":"2026-08-06T21:54:44.232283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.209280Z","title":"In: Medical Image Computing and Computer Assisted Intervention, pp","venue":null,"work_id":"c5c66c97-8091-427a-840f-e8cf8633d3a8","year":2023},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.647091Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:97743955a73402f3bfa265a6dcb4faf87109c1dd71fa3d806836d397652fbb0a","observation_id":"98cfb092-0ab5-463b-bfc0-02cf22d551ab","resolution":{"observed_at":"2026-08-06T21:54:44.216382Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.176152Z","title":"Medical Image Analysis, 75, 102258 (2022)","venue":null,"work_id":"33472e33-31ef-4e65-bbaf-0a6b938d48af","year":2022},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.653493Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:de72e359d4b4de7a9fd0f11445daafff77ed242c06c659413ce9f6dad6d18533","observation_id":"6f799494-1358-4104-9ab4-5ebbea175158","resolution":{"observed_at":"2026-08-06T21:54:44.182756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.158741Z","title":"IEEE Journal of Biomedical and Health Informatics, 26(8), 3976-3987 (2022)","venue":null,"work_id":"00861a69-6fb8-40fa-9513-9611b6868db4","year":2022},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.659592Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:b39b69b67e63bc42183dd2247b875d018f9b506a0ae525ba5fd3aaec44489838","observation_id":"afefc666-448c-4c46-ad53-941468e60048","resolution":{"observed_at":"2026-08-06T21:54:44.163763Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.141984Z","title":"In: Medical Image Computing and Com- puter Assisted Intervention, pp","venue":null,"work_id":"610744a5-a271-4f77-9083-625b2d3375ca","year":2020},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.667722Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:459b540b0ed85b11ced0dedea86986b07e811aeb8acc32a0608517b8a9781eb5","observation_id":"310e9a90-85a3-4dc7-b684-e5401f85ee22","resolution":{"observed_at":"2026-08-06T21:54:44.147354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.126700Z","title":"In: International Symposium on Biomedical Imaging, pp","venue":null,"work_id":"eff95862-8eec-404a-b4ec-67be150f0d66","year":2022},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.687068Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:1af638766ce88b59870b4b51e50e3315655efb473583058f5be6087fa7d9926c","observation_id":"720809c6-0f35-4a46-9778-f8c63e536069","resolution":{"observed_at":"2026-08-06T21:54:44.132046Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.110408Z","title":"Medical Physics, 50(10), 6296-6318 (2023)","venue":null,"work_id":"5455d086-9d60-4267-b2f5-d5c3fb67e97c","year":2023},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.699000Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:0a36af115c6822af66d36e3063ba267a0b20504fee3bafa25e74f9b627caf73e","observation_id":"957b0c90-17e5-4100-8d34-c00885223c6d","resolution":{"observed_at":"2026-08-06T21:54:44.116129Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.095752Z","title":"T., Warrington, A., Linderman, S","venue":null,"work_id":"91d8c777-95e7-4e74-80a9-f08768eb46e2","year":2022},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.705298Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:0daa7ee13ac1d6049e67a6877ac992b35866b4c05b7cb7ccc1fe378193174323","observation_id":"d583f65a-7853-44b5-a73d-4ad9afc00d85","resolution":{"observed_at":"2026-08-06T21:54:44.100468Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.076061Z","title":"In: First Conference on Language Modeling","venue":null,"work_id":"9380bd7e-773b-4f44-a4b8-a175dd8fc75a","year":2024},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.713566Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:9d740027148ee1752e9f381403c875808cdbd5d0f9b8b274036121de12c58ad2","observation_id":"0f9547b1-d18f-424e-a147-c83055a5b087","resolution":{"observed_at":"2026-08-06T21:54:44.082702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.060223Z","title":"Pattern Recognition, 143, 109819 (2023)","venue":null,"work_id":"6f45b6c3-c22d-4816-bc27-d7ebc7c94f54","year":2023},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.720118Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:0922013dddcc46bd28da76948b89bf4f95ad24df83488266c592b95df3eaacbc","observation_id":"261a5da0-cc28-490e-be7c-1c3a90f4345b","resolution":{"observed_at":"2026-08-06T21:54:44.065857Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.042956Z","title":"In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp","venue":null,"work_id":"b77483ce-c9b6-4902-91d2-c3b44c8fce3a","year":2020},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.725919Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:017354d0fde1fc5f7d199c250a0edcd56cbe9d9d2a24e03b2a9a6c45df0cac55","observation_id":"60750af6-3283-441f-8cdf-b1cb243ed8a6","resolution":{"observed_at":"2026-08-06T21:54:44.049283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.024845Z","title":"Neural Networks, 107: 3-11 (2018)","venue":null,"work_id":"0078cdb7-4895-41e2-9f80-b9b22737e76d","year":2018},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.732807Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:0c70ec3143f34c01aac477df0c25171e1da27f7eb1857b61d854db8244207edb","observation_id":"fef30359-a59f-4057-b9a2-505b1a948d1c","resolution":{"observed_at":"2026-08-06T21:54:44.030748Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:44.007156Z","title":"E., Bayat, A., Löffler, M., Liebl, H., Li, H., Kirschke, J","venue":null,"work_id":"ac642dbc-8bb8-4bcc-a7cb-54b2546c8e3f","year":2021},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.746299Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:e1268f4438ccb95dfd49780185bfcdbaadcf28e5f540e5c18a512395d4f8bb70","observation_id":"d806d860-f075-46e2-84fc-b63cc1541019","resolution":{"observed_at":"2026-08-06T21:54:44.013522Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:43.986447Z","title":"A., Becherucci, E","venue":null,"work_id":"b167efd0-8d46-4d41-95b3-572c7c24b53f","year":2022},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.752865Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:d0b675c2ce06eda603b3a91fee933c2bbda3bf9e047b0cbd0cadbca250766e12","observation_id":"13aa10f3-2c9d-468c-9988-5f8cc664e372","resolution":{"observed_at":"2026-08-06T21:54:43.991447Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:43.964758Z","title":"F., Kohl, S","venue":null,"work_id":"23b6edb2-87b7-4de8-afc2-e1bb118a1500","year":2021},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.759404Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:fb2715c1848307f84d529dda4fef4e3cc56813e865bc75ba2c6f1b150942c510","observation_id":"d09c8453-3756-4d94-a4bd-ba19d9954f68","resolution":{"observed_at":"2026-08-06T21:54:43.972325Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:43.944746Z","title":"R., Landman, B., Xu, D., Hatamizadeh, A.: Self-supervised pre-training of swin transformers for 3d medical image analysis","venue":null,"work_id":"42e5fff1-2dd7-4405-afe7-fecbff60b43b","year":2022},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.764853Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:9cecef753bb910074959e1cb5a5dde62462a845c2ab84816e108ff70e587ace5","observation_id":"0e2cfd7b-5241-46ab-8ce7-6afcdf80171f","resolution":{"observed_at":"2026-08-06T21:54:43.951268Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-06T21:54:43.925236Z","title":"In: Medical Image Computing and Computer Assisted Intervention, pp","venue":null,"work_id":"e0278315-1204-48ad-81ec-965e4928afdd","year":2021},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.771119Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:6d76dc256cf20f382707a9cc6b09e0ac1740a254a27a6dd82c4a4449ea5fafa8","observation_id":"d2038dc0-6ec1-4da9-b8a0-a6f655d9b52e","resolution":{"observed_at":"2026-08-06T21:54:43.930458Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.04722","last_updated":"2024-01-09T18:53:20Z","snapshot_observed_at":"2026-08-17T03:22:34.203372Z","submitted_at":"2024-01-09T18:53:20Z","title":"U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.04722","snapshot_observed_at":"2026-08-06T21:54:43.776340Z","title":"arXiv preprint arXiv:2401.04722 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.776340Z"},"links":{"cited_paper":"/paper/2401.04722","citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:cec1e47bbdf26b57c70cf08b43dc499f21ef3a001e865b5f7d202b08455db04c","observation_id":"9d24edd9-7260-4481-bbb4-cdca37d4f50f","resolution":{"observed_at":"2026-08-06T21:54:43.776340Z","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":"2026-08-06T21:54:43.900081Z","title":"In: Medical Image Computing and Computer-Assisted Intervention, pp","venue":null,"work_id":"7416500f-10a5-4964-a4ba-6ff8f183607a","year":2024},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.786368Z"},"links":{"citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:d7cc94ee51ecc4ed57cda8796bb0fc36a059b05a8d2ad05cce6062d964d59bbc","observation_id":"ac5ef6e9-1245-460a-84dd-bb3f6ae2a6ea","resolution":{"observed_at":"2026-08-06T21:54:43.911585Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.12533","last_updated":"2024-09-19T07:51:14Z","snapshot_observed_at":"2026-08-16T13:17:16.021555Z","submitted_at":"2024-09-19T07:51:14Z","title":"MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image Segmentation","version":1},"cited_work":{"arxiv_id":"2409.12533","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.12533","snapshot_observed_at":"2026-08-06T21:54:43.841470Z","title":"MambaClinix: Hierarchical Gated Convolution and Mamba-Based U-Net for Enhanced 3D Medical Image Segmentation","venue":"eess.IV","work_id":"87183e37-8178-4eb9-a924-52d21fbb9c03","year":2024},"citing_paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T21:54:43.792514Z"},"links":{"cited_paper":"/paper/2409.12533","citing_paper":"/paper/2506.23086"},"observation_digest":"sha256:013da4c31b6229dc4113cc67c6b948b892059a9d09d75484e72f75f184961ef6","observation_id":"3bbc6796-9192-41d3-893c-5275a4ee0f7e","resolution":{"observed_at":"2026-08-06T21:54:43.849597Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2506.23086","last_updated":"2025-06-29T04:53:02Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-06T21:47:56.446311Z","submitted_at":"2025-06-29T04:53:02Z","title":"Frequency-enhanced Multi-granularity Context Network for Efficient Vertebrae Segmentation"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":20},"total_outbound_references":22},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2506.23086."}