{"as_of":"2026-08-17T02:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:42debd64510d3a6df62fa69add66769f6801faa3a58f1014f629c7c5d70bc95a","coverage":[{"denominator":15,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T00:54:57.109778Z","state":"measured"},{"denominator":15,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":15,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2608.07299/citation-record","integrity":"/paper/2608.07299/integrity","json":"/paper/2608.07299/citation-record.json","paper":"/paper/2608.07299"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T00:54:57.109778Z","title":null,"venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:57.109778Z"},"links":{"citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:1cbcb392f0ba06d94c3d9c8790028408f2ec95cf9f099bbb0f609fdf1c792174","observation_id":"ab56d1d6-ec9f-47b7-9c89-c1442846ce50","resolution":{"observed_at":"2026-08-12T00:54:57.109778Z","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":"2026-08-12T00:54:56.804756Z","title":"In ProceedingsoftheComputerVisionandPatternRecognition Conference, 20841–20851","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:56.804756Z"},"links":{"citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:3a609e7d7abad518bbfac7c9498aee0a95d47dfdf3a2f2e1e503874d4726c822","observation_id":"22b33c65-286e-4f1c-9e1a-b4a918953fe6","resolution":{"observed_at":"2026-08-12T00:54:56.804756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2506.10465","last_updated":"2025-06-12T08:13:38Z","snapshot_observed_at":"2026-08-16T01:00:53.429145Z","submitted_at":"2025-06-12T08:13:38Z","title":"MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2506.10465","snapshot_observed_at":"2026-08-12T00:54:56.830111Z","title":"Medseg-r:Reasoningsegmentationinmedicalim- ageswithmultimodallargelanguagemodels.arXivpreprint arXiv:2506.10465","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:56.830111Z"},"links":{"cited_paper":"/paper/2506.10465","citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:e254642bc120d6541ff295f05f59e0b5bc870d49dbd5c75f1bf2d259f2ad8d07","observation_id":"cea14e37-111c-49da-b0c8-4f2be53b62f0","resolution":{"observed_at":"2026-08-12T00:54:56.830111Z","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":"2026-08-12T00:54:56.926359Z","title":"Saporta,A.;Gui,X.;Agrawal,A.;Pareek,A.;Truong,S.Q.; Nguyen, C","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:56.926359Z"},"links":{"citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:a99045534ac0eda8ccedb47232789d2e92851990c4b27494c6947ef696d46eb5","observation_id":"8c5a2ed7-fd85-449e-9123-d7f89793f441","resolution":{"observed_at":"2026-08-12T00:54:56.926359Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2511.12110","last_updated":"2026-07-01T13:10:45Z","snapshot_observed_at":"2026-08-11T18:12:55.873824Z","submitted_at":"2025-11-15T08:59:21Z","title":"MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2511.12110","snapshot_observed_at":"2026-08-12T00:54:57.006672Z","title":"Trinh, Q.-H.; Nguyen, M.-V.; Peng, J.; Bagci, U.; and Jha, D","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:57.006672Z"},"links":{"cited_paper":"/paper/2511.12110","citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:74b7b3d43805682b18d0aaded887f0e6d532923bfbf3bf2f26bcc5d761f847ec","observation_id":"377d5065-acf9-4508-b3b2-86bd9cfb4dee","resolution":{"observed_at":"2026-08-12T00:54:57.006672Z","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":"2026-08-12T00:54:57.054575Z","title":"Zhao, T.; Gu, Y.; Yang, J.; Usuyama, N.; Lee, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:57.054575Z"},"links":{"citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:2357e1daf558c45d23295dd7ad0d9544ceb769462c6b7742a873cf25a0bd4541","observation_id":"a8177b58-5068-423d-8895-50d6b5315577","resolution":{"observed_at":"2026-08-12T00:54:57.054575Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.00874","last_updated":"2024-12-04T23:51:25Z","snapshot_observed_at":"2026-08-16T13:29:07.203381Z","submitted_at":"2024-08-01T18:49:45Z","title":"Medical SAM 2: Segment medical images as video via Segment Anything Model 2","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.00874","snapshot_observed_at":"2026-08-12T00:54:57.077544Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:57.077544Z"},"links":{"cited_paper":"/paper/2408.00874","citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:2f6d7d22a9aaab9c8f4bc273622237b8df3012840d41db32a58a12db409c48a7","observation_id":"33ed4e11-dbb4-4efa-91a7-8c636c9b7db4","resolution":{"observed_at":"2026-08-12T00:54:57.077544Z","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":"2026-08-12T00:54:57.102776Z","title":"No large effusino or pneumothorax","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:57.102776Z"},"links":{"citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:11839cd246d8c5d7dcca5b87300de5508c3ab21da4f1389c6dbab13bb7843388","observation_id":"39ff944a-84de-4796-a963-96f300275381","resolution":{"observed_at":"2026-08-12T00:54:57.102776Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.04430","last_updated":"2021-01-13T17:43:14Z","snapshot_observed_at":"2026-08-14T18:29:27.430949Z","submitted_at":"2018-09-12T13:42:38Z","title":"Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.04430","snapshot_observed_at":"2026-08-12T00:54:56.898790Z","title":"D.; Patel, Y.; Meyer, C.; Askham, H.; Romera-Paredes, B.; Kelly, C.; Karthikesalingam, A.; Chu, C.; Carnell, D.; Boon, C.; D’Souza, D.; Moinuddin, S","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":654,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:56.898790Z"},"links":{"cited_paper":"/paper/1809.04430","citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:486430b8f7356da10b3d4aac527ea9d9cfa000b1aa9d380be47ffcebf1a0ff9a","observation_id":"e5771771-62c8-4fa4-b3a8-041016d8e9dc","resolution":{"observed_at":"2026-08-12T00:54:56.898790Z","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":"2026-08-12T00:54:56.944788Z","title":"InProceedings of the 2020 conference on empirical methods in natural language processing (EMNLP), 1500–","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:56.944788Z"},"links":{"citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:b8f9d58af68e23f0faa2c8d64a8a980efc85b660b2a87d9a19c43179e30895ad","observation_id":"43e43387-61e0-4d4e-afda-c52add0b2fc1","resolution":{"observed_at":"2026-08-12T00:54:56.944788Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2106.14463","last_updated":"2021-08-29T23:19:33Z","snapshot_observed_at":"2026-08-16T18:14:04.811046Z","submitted_at":"2021-06-28T08:24:23Z","title":"RadGraph: Extracting Clinical Entities and Relations from Radiology Reports","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.14463","snapshot_observed_at":"2026-08-12T00:54:56.843382Z","title":"Jiang,C.;Ding,T.;Song,C.;Tu,J.;Yan,Z.;Shao,Y.;Wang, Z.; Shang, Y.; Han, T.; and Tian, Y","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:56.843382Z"},"links":{"cited_paper":"/paper/2106.14463","citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:027a59b9c2b6b08e853ea7f1bb2b533adb07d9f7f529cc58f5af3f96e0a20101","observation_id":"e3d74669-7804-420c-b15e-6c281011d74d","resolution":{"observed_at":"2026-08-12T00:54:56.843382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-14T20:13:52.872565Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-12T00:54:56.865817Z","title":"InProceedings of the IEEE/CVF international conference on computer vision, 21152–21164","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:56.865817Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:43ef340d3fb86a97dc3998bbd69b34511938077e60b552b18b7c9bc52fb7ad12","observation_id":"95815e13-86f3-4588-bb04-b4aedad76aa8","resolution":{"observed_at":"2026-08-12T00:54:56.865817Z","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":"2026-08-12T00:54:56.744844Z","title":"InAAAI 2024 Spring Symposium on Clinical Foundation Models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:56.744844Z"},"links":{"citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:82b1c8d3590fa80fcc6415f33f409c3277a518c662fdaf4b77ba39732d7fe8a2","observation_id":"fc96c302-e733-4931-86bf-7f538cad2c5f","resolution":{"observed_at":"2026-08-12T00:54:56.744844Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.04449","last_updated":"2024-09-20T17:17:43Z","snapshot_observed_at":"2026-08-16T13:45:22.852039Z","submitted_at":"2024-06-06T19:12:41Z","title":"MAIRA-2: Grounded Radiology Report Generation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.04449","snapshot_observed_at":"2026-08-12T00:54:56.715206Z","title":"5-VL Technical Report.arXiv e-prints, arXiv–2502","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:56.715206Z"},"links":{"cited_paper":"/paper/2406.04449","citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:658f882c7e2db499fa767cca0238c198c13864ef3cad999dde380ed2143ed1ac","observation_id":"a3897fc5-895a-4d75-8833-bd481c741840","resolution":{"observed_at":"2026-08-12T00:54:56.715206Z","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":"2026-08-12T00:54:57.037116Z","title":"Xing,Z.;Wan,L.;Fu,H.;Yang,G.;Yang,Y.;Yu,L.;Lei,B.; andZhu,L.2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation","version":2},"reference_index":2026,"source":"pdf_text","source_observed_at":"2026-08-12T00:54:57.037116Z"},"links":{"citing_paper":"/paper/2608.07299"},"observation_digest":"sha256:6ce0ba6757230225d6280fc5737edc12297b6fc5654f0d539680c954b8bcf216","observation_id":"dd0b963a-e5f1-4501-9c50-5f1ee2c9d002","resolution":{"observed_at":"2026-08-12T00:54:57.037116Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.07299","last_updated":"2026-08-11T00:33:37Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-17T01:47:16.251360Z","submitted_at":"2026-08-07T14:52:35Z","title":"EliSeg: Verified Target Construction for Report-Grounded Abnormality Segmentation"},"reference_resolution":{"displayed":15,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":15,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":15},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2608.07299."}