{"as_of":"2026-08-09T09:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83dd74dbc46340f32fa8aac96ba1081782ac42d14c1285be2a719937386bb640","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":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":14,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T23:19:21.049525Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":654,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":"1906.02530","doi":"10.48550/arxiv.1906.02530","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ovadia, E","venue":"arXiv (Cornell University)","work_id":"374b3536-9df3-494b-a7af-e571a56c77ac","year":2019},"citing_paper":{"arxiv_id":"2207.05221","last_updated":"2022-11-21T16:38:35Z","snapshot_observed_at":"2026-08-06T08:34:11.887259Z","submitted_at":"2022-07-11T22:59:39Z","title":"Language Models (Mostly) Know What They Know","version":4},"reference_index":195,"source":"arxiv_source","source_observed_at":"2026-05-10T15:42:47.274448Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2207.05221"},"observation_digest":"sha256:ae84634b91cb533e09c7bbd5e8182fbbda7161ff38f7f5ef96a54efc7b27998b","observation_id":"c06d53d8-131d-410b-926d-d1848d31926c","resolution":{"observed_at":"2026-05-10T15:42:47.537381Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-07T13:25:03.408251Z","title":"Can you trust your model’s uncertainty? evaluating predictive uncertainty under dataset shift","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.21857","last_updated":"2025-05-28T01:03:28Z","snapshot_observed_at":"2026-08-07T13:18:48.859573Z","submitted_at":"2025-05-28T01:03:28Z","title":"Revisiting Bayesian Model Averaging in the Era of Foundation Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:25:03.408251Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2505.21857"},"observation_digest":"sha256:e0420eb2c3123141d8b23b18c66d82367c7d082bea0acb7453ab1a2eb1439328","observation_id":"26dccf14-7689-49e4-8c33-4c325d735331","resolution":{"observed_at":"2026-08-07T13:25:03.408251Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-07T11:35:48.635519Z","title":"Sculley, Sebastian Nowozin, Joshua Dillon, and Balaji Lakshminarayanan","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.01817","last_updated":"2025-06-02T15:57:49Z","snapshot_observed_at":"2026-08-07T11:30:41.106367Z","submitted_at":"2025-06-02T15:57:49Z","title":"BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T11:35:48.635519Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2506.01817"},"observation_digest":"sha256:36b23b7676112cfb2c4687f95fb7cd64ac11108654fd3c3a4e037155f32f19ea","observation_id":"a7af000c-fd6a-45a6-8d01-ef59fd58388e","resolution":{"observed_at":"2026-08-07T11:35:48.635519Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-03T20:19:44.387122Z","title":"Can you trust your model’s uncertainty? evaluating predictive uncertainty under dataset shift,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2511.20586","last_updated":"2026-05-26T15:35:41Z","snapshot_observed_at":"2026-08-09T07:43:32.538358Z","submitted_at":"2025-11-25T18:15:36Z","title":"PaTAS: A Framework for Trust Propagation in Neural Networks Using Subjective Logic","version":4},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T20:19:44.387122Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2511.20586"},"observation_digest":"sha256:46637f8b2a38243d4ded3e56f552c6bec8adb60c7469da8d8dace52d248975ef","observation_id":"fe690e5e-af6c-477c-a7d7-022ffe94f14b","resolution":{"observed_at":"2026-08-03T20:19:44.387122Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-03T03:26:55.714514Z","title":"uncertain","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2602.08142","last_updated":"2026-06-02T19:33:58Z","snapshot_observed_at":"2026-08-06T01:31:11.167840Z","submitted_at":"2026-02-08T22:05:23Z","title":"Variance-Gated Ensembles: An Epistemic-Aware Framework for Uncertainty Estimation","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-03T03:26:55.714514Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2602.08142"},"observation_digest":"sha256:4b769963430f70f23718256dffda62aa99ce4223335b36e5f4d4f8ba9aa7b8ef","observation_id":"175aeb27-6708-4a04-b992-0b88f9396709","resolution":{"observed_at":"2026-08-03T03:26:55.714514Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":"1906.02530","doi":"10.48550/arxiv.1906.02530","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ovadia, E","venue":"arXiv (Cornell University)","work_id":"374b3536-9df3-494b-a7af-e571a56c77ac","year":2019},"citing_paper":{"arxiv_id":"2604.06032","last_updated":"2026-04-07T16:28:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-07T16:28:20Z","title":"Ensemble-Based Dirichlet Modeling for Predictive Uncertainty and Selective Classification","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T18:38:30.129473Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2604.06032"},"observation_digest":"sha256:d096e9725d36690d00e0e6f3f3c13402a752bb603f772c5276230f50e4bade00","observation_id":"819a2046-b593-4841-94e1-a40c1cd87898","resolution":{"observed_at":"2026-05-11T00:15:52.177728Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":"1906.02530","doi":"10.48550/arxiv.1906.02530","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ovadia, E","venue":"arXiv (Cornell University)","work_id":"374b3536-9df3-494b-a7af-e571a56c77ac","year":2019},"citing_paper":{"arxiv_id":"2604.25154","last_updated":"2026-04-28T02:56:17Z","snapshot_observed_at":"2026-07-06T23:11:02.043135Z","submitted_at":"2026-04-28T02:56:17Z","title":"Prior-Aligned Data Cleaning for Tabular Foundation Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-07T16:47:31.905149Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2604.25154"},"observation_digest":"sha256:21f2a102d034d9097eec3edfb8229aec9eafeba4287693bc8b05691f65ca944a","observation_id":"752b91c7-008d-456e-9bec-37e18e59a8c6","resolution":{"observed_at":"2026-05-11T23:31:16.959775Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":"1906.02530","doi":"10.48550/arxiv.1906.02530","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ovadia, E","venue":"arXiv (Cornell University)","work_id":"374b3536-9df3-494b-a7af-e571a56c77ac","year":2019},"citing_paper":{"arxiv_id":"2606.08654","last_updated":"2026-06-07T14:49:37Z","snapshot_observed_at":"2026-08-08T20:05:37.837184Z","submitted_at":"2026-06-07T14:49:37Z","title":"Operator learning for the 2D incompressible Navier-Stokes equations: a conformal prediction approach in the data-scarce regime","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-06-27T18:39:56.578189Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2606.08654"},"observation_digest":"sha256:30ef6b12005ddb6ee461f416a4fbfe3844cffd6d5d5e60f7badc20efac405f4a","observation_id":"94c4bd7a-97cb-4d6c-a48a-c288f87d8f86","resolution":{"observed_at":"2026-07-02T22:47:25.758717Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":"1906.02530","doi":"10.48550/arxiv.1906.02530","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ovadia, E","venue":"arXiv (Cornell University)","work_id":"374b3536-9df3-494b-a7af-e571a56c77ac","year":2019},"citing_paper":{"arxiv_id":"2606.09881","last_updated":"2026-06-03T05:44:29Z","snapshot_observed_at":"2026-07-06T23:49:08.412079Z","submitted_at":"2026-06-03T05:44:29Z","title":"Toward Calibrated, Fair, and accurate Deepfake Detection","version":1},"reference_index":184,"source":"arxiv_source","source_observed_at":"2026-06-28T07:05:18.026601Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2606.09881"},"observation_digest":"sha256:6928cc029e97a9c3205c21be1cfada67f8bbc07cf9a5b57c0077b06d55adb3c6","observation_id":"67117028-5131-401b-baa4-992f0cee2f64","resolution":{"observed_at":"2026-06-28T07:11:45.332149Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":"1906.02530","doi":"10.48550/arxiv.1906.02530","metadata_source":"arxiv_reference","pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Ovadia, E","venue":"arXiv (Cornell University)","work_id":"374b3536-9df3-494b-a7af-e571a56c77ac","year":2019},"citing_paper":{"arxiv_id":"2606.17582","last_updated":"2026-06-16T06:43:46Z","snapshot_observed_at":"2026-08-07T16:07:11.624751Z","submitted_at":"2026-06-16T06:43:46Z","title":"Collaborative Large and Small Language Models for Accurate and Scalable Data Repair","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-06-26T22:25:39.533017Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2606.17582"},"observation_digest":"sha256:fdd780eba8207050a6a5bc5958e7c75754ba4bbc0dd4cd59e4950e8a06cac2b2","observation_id":"430dac04-9c4a-43bc-bf1b-06c5b4316666","resolution":{"observed_at":"2026-07-03T23:19:04.259597Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T17:49:45.245857+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-07-11T23:16:58.545731Z","title":"and Nowozin, Sebastian and Dillon, Joshua V","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2607.03882","last_updated":"2026-07-10T15:01:40Z","snapshot_observed_at":"2026-08-08T07:11:34.297905Z","submitted_at":"2026-07-04T13:57:21Z","title":"Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-07-11T23:16:58.545731Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2607.03882"},"observation_digest":"sha256:84135a71708209c4b8703c5d75d38981966301b4d46d8e396469addfc6e86d90","observation_id":"67314425-a0cc-4175-afd1-c92fef317dc8","resolution":{"observed_at":"2026-07-11T23:16:58.545731Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-07-13T07:02:13.140334Z","title":"and Nowozin, Sebastian and Dillon, Joshua V","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2607.03882","last_updated":"2026-07-10T15:01:40Z","snapshot_observed_at":"2026-08-08T07:11:34.297905Z","submitted_at":"2026-07-04T13:57:21Z","title":"Consistent but Miscalibrated: Evaluating LLM Limitations for Risk Communication in Natural Language","version":2},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-07-13T07:02:13.140334Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2607.03882"},"observation_digest":"sha256:d02a8651dae8727732a9e925759f1c05cf906f11ee80be08b50eb3d32e446073","observation_id":"2f994fcc-6dd6-472b-a3cd-67fd93245a14","resolution":{"observed_at":"2026-07-13T07:02:13.140334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-07-14T04:52:20.985671Z","title":"Can you trust your model’s uncertainty? Evaluating predictive uncertainty under dataset shift,","venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2607.11542","last_updated":"2026-07-13T13:28:31Z","snapshot_observed_at":"2026-08-02T14:45:34.528270Z","submitted_at":"2026-07-13T13:28:31Z","title":"Condition-Stratified Robustness Analysis of Post-Hoc Calibration Methods for Probabilistic Classifiers","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-14T04:52:20.985671Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2607.11542"},"observation_digest":"sha256:0533aa9bcf4709f40116f15eb480716217422c004b1c95e16c591451f535bafc","observation_id":"37e7be3d-96d2-4858-8be1-871f1e0b5a5b","resolution":{"observed_at":"2026-07-14T04:52:20.985671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.02530","snapshot_observed_at":"2026-08-07T23:19:21.049525Z","title":null,"venue":null,"work_id":null,"year":1906},"citing_paper":{"arxiv_id":"2608.05800","last_updated":"2026-08-06T09:36:15Z","snapshot_observed_at":"2026-08-09T09:10:48.837175Z","submitted_at":"2026-08-06T09:36:15Z","title":"Validity, Reliability, and Transparency in Artificial Intelligence Regulation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T23:19:21.049525Z"},"links":{"cited_paper":"/paper/1906.02530","citing_paper":"/paper/2608.05800"},"observation_digest":"sha256:efe1fe9072d9abdbc567fb3299851583230568f48d21cfcc493c11f0536c1fad","observation_id":"59b928a4-bdb2-4ca1-ae40-ab33406053ce","resolution":{"observed_at":"2026-08-07T23:19:21.049525Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1906.02530/citation-record","integrity":"/paper/1906.02530/integrity","json":"/paper/1906.02530/citation-record.json","paper":"/paper/1906.02530"},"outbound":[],"paper":{"arxiv_id":"1906.02530","last_updated":"2019-12-17T21:30:28Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-07-06T07:58:24.206559Z","submitted_at":"2019-06-06T11:42:53Z","title":"Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:1906.02530."}