{"as_of":"2026-08-23T07:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f77034df28d7bd698dd587d3a8b167b4153f0b6c9c29d913babbafdbd14fbe4d","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"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":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":15,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":15,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T11:44:18.301887Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-02T21:57:26.227726Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-12T11:44:18.301887Z","title":"Learning optimal conformal classifiers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.17983","last_updated":"2024-11-27T01:40:50Z","snapshot_observed_at":"2026-08-13T10:28:15.613888Z","submitted_at":"2024-11-27T01:40:50Z","title":"Optimized Conformal Selection: Powerful Selective Inference After Conformity Score Optimization","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-12T11:44:18.301887Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2411.17983"},"observation_digest":"sha256:4f398f08a394b0e8666e662334327950cb300ca429d1b2ea65f85a9b4e472200","observation_id":"7acf36d4-7163-4aff-aa8c-483d37a34c7f","resolution":{"observed_at":"2026-08-12T11:44:18.301887Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-11T14:40:16.084404Z","title":"Learning optimal conformal classifiers","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2412.11801","last_updated":"2025-05-08T15:52:54Z","snapshot_observed_at":"2026-08-21T15:51:19.423278Z","submitted_at":"2024-12-16T14:11:31Z","title":"Classification uncertainty for transient gravitational-wave noise artefacts with optimised conformal prediction","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T14:40:16.084404Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2412.11801"},"observation_digest":"sha256:e0170b505504d04f6f893780e5ad8bc74b7c3a4a38cb6a6927e4c08ea7531be6","observation_id":"510c326b-5e8c-45d2-8f7b-887670d55917","resolution":{"observed_at":"2026-08-11T14:40:16.084404Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-10T20:17:35.049093Z","title":"Stutz, Krishnamurthy (Dj) Dvijotham, Ali Taylan Cemgil, and Arnaud Doucet","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.08963","last_updated":"2025-01-15T17:19:51Z","snapshot_observed_at":"2026-08-21T02:47:45.673480Z","submitted_at":"2025-01-15T17:19:51Z","title":"Training-Aware Risk Control for Intensity Modulated Radiation Therapies Quality Assurance with Conformal Prediction","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T20:17:35.049093Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2501.08963"},"observation_digest":"sha256:5b8aa36e1e483295a20822448d1f2b73d8e111c51d0b2885cf214b88f5892a95","observation_id":"0caf234d-e08b-4516-aa68-fd691c3551e8","resolution":{"observed_at":"2026-08-10T20:17:35.049093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-07T13:07:59.625665Z","title":"Learning Optimal Conformal Classi- fiers, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.22764","last_updated":"2025-05-28T18:29:31Z","snapshot_observed_at":"2026-08-21T07:05:19.943160Z","submitted_at":"2025-05-28T18:29:31Z","title":"Test-time augmentation improves efficiency in conformal prediction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T13:07:59.625665Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2505.22764"},"observation_digest":"sha256:90c8222d311923b6f12acc059cd28685462ff07c5d4f2727edc9ab2d95a0aa42","observation_id":"6d401db8-0886-4888-a22b-bd18c1c9832b","resolution":{"observed_at":"2026-08-07T13:07:59.625665Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-07T12:51:30.168010Z","title":"Learning optimal conformal classifiers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.23389","last_updated":"2025-05-29T12:19:07Z","snapshot_observed_at":"2026-08-13T23:50:56.638839Z","submitted_at":"2025-05-29T12:19:07Z","title":"Dynamic Estimation Loss Control in Variational Quantum Sensing via Online Conformal Inference","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T12:51:30.168010Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2505.23389"},"observation_digest":"sha256:6d45acf219825d7ba725e2469f1c309e83b7a3ab2a7a21e1f7accaf35d3a5f52","observation_id":"6d070d3f-5e91-4eee-8633-9b5841ca4df1","resolution":{"observed_at":"2026-08-07T12:51:30.168010Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-07T05:58:48.366974Z","title":"T., Doucet, A., et al","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.06599","last_updated":"2025-06-07T00:19:00Z","snapshot_observed_at":"2026-08-21T03:16:32.037567Z","submitted_at":"2025-06-07T00:19:00Z","title":"Direct Prediction Set Minimization via Bilevel Conformal Classifier Training","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-07T05:58:48.366974Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2506.06599"},"observation_digest":"sha256:32ddedd4fccdb1ab694960f72757f5cfe8aa9d469d822e96d8fa2ab11066ad34","observation_id":"b3df2aec-36be-434b-9710-8de0a937148e","resolution":{"observed_at":"2026-08-07T05:58:48.366974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-07T05:32:07.631863Z","title":"T., Doucet, A., et al","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07804","last_updated":"2025-06-09T14:33:28Z","snapshot_observed_at":"2026-08-17T02:27:09.491384Z","submitted_at":"2025-06-09T14:33:28Z","title":"Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T05:32:07.631863Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2506.07804"},"observation_digest":"sha256:48842ffbc03b521c6a73b825c12328e693092653291d15f9bad64faf267847e6","observation_id":"a3f98ec4-7e26-43f0-b79b-6cbaf2313b80","resolution":{"observed_at":"2026-08-07T05:32:07.631863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":"2110.09192","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-07-02T21:57:26.227726Z","title":"T., Doucet, A., et al","venue":null,"work_id":"b5157f38-31c5-4c5e-905b-9e0daa865ddd","year":2021},"citing_paper":{"arxiv_id":"2602.01733","last_updated":"2026-07-17T08:08:16Z","snapshot_observed_at":"2026-08-17T00:19:29.226516Z","submitted_at":"2026-02-02T07:18:35Z","title":"Improving Backward Conformal Prediction via Non-Conformity Score Transformation","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-21T14:15:26.433846Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2602.01733"},"observation_digest":"sha256:2a2ec32c44cd4ec5f9c678f27a6a6236263d1eff4380a723634f3c2a127dee3c","observation_id":"a2a12683-0905-4647-9d70-5c6a66395d8e","resolution":{"observed_at":"2026-05-21T14:20:13.815338Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-03T05:39:30.767756Z","title":"T., Doucet, A., et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.01733","last_updated":"2026-07-17T08:08:16Z","snapshot_observed_at":"2026-08-17T00:19:29.226516Z","submitted_at":"2026-02-02T07:18:35Z","title":"Improving Backward Conformal Prediction via Non-Conformity Score Transformation","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T05:39:30.767756Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2602.01733"},"observation_digest":"sha256:9e3c89bb6764d07f1504347f659cee0648351dfd43a8995d6894f795f10ad0d8","observation_id":"7c38ef5c-7d54-4c41-8287-57cfba9e5062","resolution":{"observed_at":"2026-08-03T05:39:30.767756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":"2110.09192","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-07-02T21:57:26.227726Z","title":"T., Doucet, A., et al","venue":null,"work_id":"b5157f38-31c5-4c5e-905b-9e0daa865ddd","year":2021},"citing_paper":{"arxiv_id":"2604.06468","last_updated":"2026-04-09T23:19:31Z","snapshot_observed_at":"2026-08-14T02:02:38.252531Z","submitted_at":"2026-04-07T21:12:21Z","title":"Conformal Margin Risk Minimization: An Envelope Framework for Robust Learning under Label Noise","version":2},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-05-10T19:33:52.302688Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2604.06468"},"observation_digest":"sha256:b28d877cd61a9a791884456abc8ec7743f5c85ded59f0c9ac89587f7156c9ba8","observation_id":"97e9c23b-36fb-47b7-81d0-d2f74558f5d1","resolution":{"observed_at":"2026-05-10T22:50:48.025771Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":"2110.09192","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-07-02T21:57:26.227726Z","title":"T., Doucet, A., et al","venue":null,"work_id":"b5157f38-31c5-4c5e-905b-9e0daa865ddd","year":2021},"citing_paper":{"arxiv_id":"2605.01868","last_updated":"2026-05-03T13:29:26Z","snapshot_observed_at":"2026-08-13T16:29:37.901407Z","submitted_at":"2026-05-03T13:29:26Z","title":"Robust Conditional Conformal Prediction via Branched Normalizing Flow","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-10T16:29:24.578922Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2605.01868"},"observation_digest":"sha256:521d698d1690b889e7b05ec4435a1484cfd186191127feb0e6d788e19a0b0406","observation_id":"db7faf97-8e7e-407b-bd89-7d05920851f4","resolution":{"observed_at":"2026-05-11T08:46:00.918363Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":"2110.09192","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-07-02T21:57:26.227726Z","title":"T., Doucet, A., et al","venue":null,"work_id":"b5157f38-31c5-4c5e-905b-9e0daa865ddd","year":2021},"citing_paper":{"arxiv_id":"2605.08857","last_updated":"2026-05-09T10:12:07Z","snapshot_observed_at":"2026-08-19T15:04:52.105101Z","submitted_at":"2026-05-09T10:12:07Z","title":"RareCP: Regime-Aware Retrieval for Efficient Conformal Prediction","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-12T01:28:52.647625Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2605.08857"},"observation_digest":"sha256:677d542ef247deebbe07b93583fb3d471ba8162fbfd3545b7f957dbe079b4008","observation_id":"464cd84b-d448-437d-985d-c5c1479cdbf6","resolution":{"observed_at":"2026-05-12T07:56:28.416208Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":"2110.09192","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-07-02T21:57:26.227726Z","title":"T., Doucet, A., et al","venue":null,"work_id":"b5157f38-31c5-4c5e-905b-9e0daa865ddd","year":2021},"citing_paper":{"arxiv_id":"2605.26429","last_updated":"2026-05-26T01:28:16Z","snapshot_observed_at":"2026-08-17T13:49:07.143515Z","submitted_at":"2026-05-26T01:28:16Z","title":"Structure-Adaptive Conformal Inference for Large-Scale Out-of-Distribution Testing","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-06-29T16:19:08.137201Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2605.26429"},"observation_digest":"sha256:026af3cc1918b0065fd42bb643b4089c656f55d2d82adb73e9dc4f7c8fd2cef8","observation_id":"9fdba70c-0045-46de-8176-50282540abeb","resolution":{"observed_at":"2026-06-29T16:23:39.431834Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":"2110.09192","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-07-02T21:57:26.227726Z","title":"T., Doucet, A., et al","venue":null,"work_id":"b5157f38-31c5-4c5e-905b-9e0daa865ddd","year":2021},"citing_paper":{"arxiv_id":"2606.08341","last_updated":"2026-06-06T21:13:57Z","snapshot_observed_at":"2026-08-12T12:33:31.412340Z","submitted_at":"2026-06-06T21:13:57Z","title":"Uncertainty-Aware Intention Prediction for Human-to-Robot Assembly Teleoperation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-27T19:20:45.286928Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2606.08341"},"observation_digest":"sha256:de6cba20db911b2f5dd0bbcca1413a1f23389c7c86574f5763313ef2ec9babdc","observation_id":"0f40a148-9e05-46cc-88e6-55a4a912c2de","resolution":{"observed_at":"2026-07-02T21:57:26.229058Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09192","snapshot_observed_at":"2026-08-01T14:55:41.945104Z","title":"Learning optimal conformal classifiers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.26481","last_updated":"2026-07-29T05:16:59Z","snapshot_observed_at":"2026-08-15T03:54:15.766565Z","submitted_at":"2026-07-29T05:16:59Z","title":"Conformal Changepoint Localization and Root Cause Analysis with Corrupted Observations","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-01T14:55:41.945104Z"},"links":{"cited_paper":"/paper/2110.09192","citing_paper":"/paper/2607.26481"},"observation_digest":"sha256:6257986305c1f1642c219053dfe0f35de86fc72c32af46299063bf6b0b096e86","observation_id":"8d0ac397-0ba0-4f1e-9be7-d3dfa72211b7","resolution":{"observed_at":"2026-08-01T14:55:41.945104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2110.09192/citation-record","integrity":"/paper/2110.09192/integrity","json":"/paper/2110.09192/citation-record.json","paper":"/paper/2110.09192"},"outbound":[],"paper":{"arxiv_id":"2110.09192","last_updated":"2022-05-06T14:45:56Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T17:48:29.602712Z","submitted_at":"2021-10-18T11:25:33Z","title":"Learning Optimal Conformal Classifiers"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2110.09192."}