{"as_of":"2026-08-09T13:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0fbba96a936c2da75012a0de3b4b6c7a962c47cdd877aee4168912b3d1ef2acd","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":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":16,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:23:07.164904Z","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":43,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-07T12:23:07.164904Z","title":"The disagreement problem in explainable machine learn- ing: A practitioner’s perspective,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.24612","last_updated":"2025-05-30T14:02:59Z","snapshot_observed_at":"2026-08-09T11:18:51.463427Z","submitted_at":"2025-05-30T14:02:59Z","title":"Multi-criteria Rank-based Aggregation for Explainable AI","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T12:23:07.164904Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2505.24612"},"observation_digest":"sha256:466e5ac736afe72a5e122341fb29e6505e18221fb008c6fd4abce2b94857a400","observation_id":"fc33f939-5319-4002-9284-4208845dd7ac","resolution":{"observed_at":"2026-08-07T12:23:07.164904Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-07T05:42:14.286693Z","title":"The disagreement problem in explainable machine learning: A practitioner's perspective","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07327","last_updated":"2025-06-15T17:02:01Z","snapshot_observed_at":"2026-08-09T07:31:25.437546Z","submitted_at":"2025-06-08T23:57:37Z","title":"CASE: Contrastive Activation for Saliency Estimation","version":3},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T05:42:14.286693Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2506.07327"},"observation_digest":"sha256:07d95bfb8d10dc970de7e7aef84ac7cc641265adb8be5d814096898e4908c74b","observation_id":"7f91b1f7-9335-41fb-a897-3ea38f3a93b2","resolution":{"observed_at":"2026-08-07T05:42:14.286693Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-06T10:25:26.564902Z","title":"Krishna et al","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2508.00140","last_updated":"2025-07-31T20:00:32Z","snapshot_observed_at":"2026-08-08T09:45:39.447717Z","submitted_at":"2025-07-31T20:00:32Z","title":"Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-06T10:25:26.564902Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2508.00140"},"observation_digest":"sha256:ada4a3485cd46a878dacb93381b13e733a2164be5cf7d37efb3f35bb906e428e","observation_id":"1c0ca5d0-c83e-4962-9252-7ba788777b65","resolution":{"observed_at":"2026-08-06T10:25:26.564902Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-05T20:35:46.932205Z","title":"https://doi.org/10.48550/arXiv.2202.01602 , http: //arxiv.org/abs/2202.01602, arXiv:2202.01602 [cs] 18 A","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2508.10595","last_updated":"2025-08-14T12:37:22Z","snapshot_observed_at":"2026-08-06T14:20:11.649794Z","submitted_at":"2025-08-14T12:37:22Z","title":"On Spectral Properties of Gradient-based Explanation Methods","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T20:35:46.932205Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2508.10595"},"observation_digest":"sha256:bc25e3dc3f780268456f0a4c303e7f4be73eb983567895882d1865aaa0eee39b","observation_id":"d8dafae3-665a-48d9-9904-7edc8e64b6f5","resolution":{"observed_at":"2026-08-05T20:35:46.932205Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-04T12:48:32.972806Z","title":"The disagreement problem in explainable machine learning: A practitioner’s perspective.arXiv preprint arXiv:2202.01602,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.02497","last_updated":"2026-05-25T17:40:10Z","snapshot_observed_at":"2026-08-07T10:54:59.418793Z","submitted_at":"2025-10-02T19:00:41Z","title":"HattriQ: Designing Integrated Gradients for Feature Attribution in Quantum Machine Learning","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T12:48:32.972806Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2510.02497"},"observation_digest":"sha256:ab9ea2ddbdf19cf93a534b92a597d90bf840988947a5be6bc3a72617eff6a4cf","observation_id":"2c126e81-9d50-4112-bfe3-05195db27861","resolution":{"observed_at":"2026-08-04T12:48:32.972806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":"2202.01602","doi":"10.48550/arxiv.2202.01602","metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Krishna, T","venue":"arXiv (Cornell University)","work_id":"3bb8e9d0-d14e-4fa1-b477-9010bb216706","year":2022},"citing_paper":{"arxiv_id":"2512.11108","last_updated":"2026-04-20T14:05:19Z","snapshot_observed_at":"2026-08-02T20:26:54.594431Z","submitted_at":"2025-12-11T20:48:22Z","title":"Explanation Bias is a Product: Revealing the Hidden Lexical and Position Preferences in Post-Hoc Feature Attribution","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-16T22:45:09.677680Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2512.11108"},"observation_digest":"sha256:f975a82836187d4621c3509c083420aa6de88c0f36694757a58f591a1e672be1","observation_id":"3c07c82b-c4f6-4e26-b5b1-ce07d19b5f79","resolution":{"observed_at":"2026-05-16T22:48:38.243190Z","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":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-03T11:12:26.799782Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.07368","last_updated":"2026-01-12T09:50:15Z","snapshot_observed_at":"2026-08-04T20:30:19.357135Z","submitted_at":"2026-01-12T09:50:15Z","title":"Interpretable Text Classification Applied to the Detection of LLM-generated Creative Writing","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T11:12:26.799782Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2601.07368"},"observation_digest":"sha256:2318e042a160ef16d7a4e6218e0a57f27f15fcfd1cd398c12112883d46c27258","observation_id":"47a16528-800c-43ef-9608-dd8816393d12","resolution":{"observed_at":"2026-08-03T11:12:26.799782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":"2202.01602","doi":"10.48550/arxiv.2202.01602","metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Krishna, T","venue":"arXiv (Cornell University)","work_id":"3bb8e9d0-d14e-4fa1-b477-9010bb216706","year":2022},"citing_paper":{"arxiv_id":"2604.08502","last_updated":"2026-04-09T17:47:31Z","snapshot_observed_at":"2026-08-02T04:50:55.613198Z","submitted_at":"2026-04-09T17:47:31Z","title":"Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-10T18:21:16.402501Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2604.08502"},"observation_digest":"sha256:0b38a5f30cd58463862da2b4237e6526a981f6ed0c38b9ddf5b69d4fe69f1dba","observation_id":"a60d5784-53a2-4e28-babe-3ac9b78db03f","resolution":{"observed_at":"2026-05-10T20:25:46.680017Z","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":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":"2202.01602","doi":"10.48550/arxiv.2202.01602","metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Krishna, T","venue":"arXiv (Cornell University)","work_id":"3bb8e9d0-d14e-4fa1-b477-9010bb216706","year":2022},"citing_paper":{"arxiv_id":"2604.12321","last_updated":"2026-04-14T05:54:32Z","snapshot_observed_at":"2026-07-06T23:00:32.607699Z","submitted_at":"2026-04-14T05:54:32Z","title":"ToxiTrace: Gradient-Aligned Training for Explainable Chinese Toxicity Detection","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-10T14:50:03.031347Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2604.12321"},"observation_digest":"sha256:e7055c467d80d27fdf9a67f5d218a839fa54d12ba0d8a3005a16f1f5cbaf1d21","observation_id":"74a2a549-df3a-4e9f-a2fa-f233a52daa32","resolution":{"observed_at":"2026-05-11T11:31:01.784119Z","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":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":"2202.01602","doi":"10.48550/arxiv.2202.01602","metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Krishna, T","venue":"arXiv (Cornell University)","work_id":"3bb8e9d0-d14e-4fa1-b477-9010bb216706","year":2022},"citing_paper":{"arxiv_id":"2604.14240","last_updated":"2026-04-15T03:25:10Z","snapshot_observed_at":"2026-08-02T21:36:50.244993Z","submitted_at":"2026-04-15T03:25:10Z","title":"Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making","version":1},"reference_index":223,"source":"pdf_text","source_observed_at":"2026-05-10T13:48:40.561619Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2604.14240"},"observation_digest":"sha256:d06c970d5c13363f1d76c36e75aed7700f483a340fd881903ac311ba7f8ae930","observation_id":"7cbe9ac7-5d48-4786-a7a3-49abdef7964a","resolution":{"observed_at":"2026-05-10T14:10:29.458649Z","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":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":"2202.01602","doi":"10.48550/arxiv.2202.01602","metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Krishna, T","venue":"arXiv (Cornell University)","work_id":"3bb8e9d0-d14e-4fa1-b477-9010bb216706","year":2022},"citing_paper":{"arxiv_id":"2605.11687","last_updated":"2026-05-12T07:45:46Z","snapshot_observed_at":"2026-07-06T23:23:30.499023Z","submitted_at":"2026-05-12T07:45:46Z","title":"Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-13T07:17:34.686769Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2605.11687"},"observation_digest":"sha256:f2f73c4ecb2fd10d13b3878dc5d49c02baaa831d18bab29bf5931468aebcd60b","observation_id":"fb8b5ab0-092e-4103-a712-4768fc1fe4aa","resolution":{"observed_at":"2026-05-13T07:22:29.448247Z","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":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":"2202.01602","doi":"10.48550/arxiv.2202.01602","metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Krishna, T","venue":"arXiv (Cornell University)","work_id":"3bb8e9d0-d14e-4fa1-b477-9010bb216706","year":2022},"citing_paper":{"arxiv_id":"2605.21492","last_updated":"2026-04-08T10:11:45Z","snapshot_observed_at":"2026-07-31T18:59:59.908728Z","submitted_at":"2026-04-08T10:11:45Z","title":"The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-05-22T01:38:54.372354Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2605.21492"},"observation_digest":"sha256:953b5b41cb916accd1ad35b7864e621ab95e0608841d29c3023aee75121e9ea0","observation_id":"9dee54c4-8b5b-4490-8e5d-72da84b73de2","resolution":{"observed_at":"2026-05-22T01:40:53.907805Z","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":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":"2202.01602","doi":"10.48550/arxiv.2202.01602","metadata_source":"arxiv_reference","pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Krishna, T","venue":"arXiv (Cornell University)","work_id":"3bb8e9d0-d14e-4fa1-b477-9010bb216706","year":2022},"citing_paper":{"arxiv_id":"2606.19509","last_updated":"2026-06-17T18:49:44Z","snapshot_observed_at":"2026-07-06T23:54:46.974663Z","submitted_at":"2026-06-17T18:49:44Z","title":"LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-26T20:55:17.597719Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2606.19509"},"observation_digest":"sha256:8bb4d45696ba1123f8e6015f30b5768515ebbda57479067abf01b9cae3f15f8b","observation_id":"73845411-c58f-4c71-b8f7-a8edbb43d214","resolution":{"observed_at":"2026-07-04T00:49:19.132764Z","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":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-02T10:46:49.807158Z","title":"arXiv preprint arXiv:2202.01602 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.14123","last_updated":"2026-06-18T21:46:20Z","snapshot_observed_at":"2026-08-07T13:18:38.777917Z","submitted_at":"2026-06-18T21:46:20Z","title":"Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-02T10:46:49.807158Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2607.14123"},"observation_digest":"sha256:d67331c643eb4a609145256732796d41aa1226cc7e7861094d5a8708353bc97a","observation_id":"ff5509f6-a014-4b20-b323-e61a24814cb6","resolution":{"observed_at":"2026-08-02T10:46:49.807158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-01T14:03:18.088210Z","title":"The disagreement problem in explainable machine learning: A practitioner's perspective","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.18921","last_updated":"2026-07-21T10:04:29Z","snapshot_observed_at":"2026-08-09T08:17:47.633673Z","submitted_at":"2026-07-21T10:04:29Z","title":"Circuit Claims Depend on What Is Extracted and How It Is Compared","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-01T14:03:18.088210Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2607.18921"},"observation_digest":"sha256:d544afaca54d2ee1548f7e5e86def9e3d41f343ff00d39cfc5bce8e998b6114d","observation_id":"f9958957-2f9f-4fac-9384-5d6f4debad8d","resolution":{"observed_at":"2026-08-01T14:03:18.088210Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.01602","snapshot_observed_at":"2026-08-07T00:14:47.873845Z","title":"The Disagreement Problem in Explainable Machine Learning:","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02699","last_updated":"2026-08-03T13:35:06Z","snapshot_observed_at":"2026-08-09T07:07:20.627475Z","submitted_at":"2026-08-03T13:35:06Z","title":"Explainable AI for the EU Right to Explanation: A Systematic Review of the Law-XAI Translation Gap","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T00:14:47.873845Z"},"links":{"cited_paper":"/paper/2202.01602","citing_paper":"/paper/2608.02699"},"observation_digest":"sha256:915f6ac437682fce1cbcb011c204755018be6b13a673fa3593f233598b11e030","observation_id":"104a10ec-8bbc-4a85-8ed2-d641628bd570","resolution":{"observed_at":"2026-08-07T00:14:47.873845Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2202.01602/citation-record","integrity":"/paper/2202.01602/integrity","json":"/paper/2202.01602/citation-record.json","paper":"/paper/2202.01602"},"outbound":[],"paper":{"arxiv_id":"2202.01602","last_updated":"2025-04-17T12:28:50Z","latest_version":6,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-09T06:11:09.797371Z","submitted_at":"2022-02-03T14:19:23Z","title":"The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective"},"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 16 inbound Pith citation observations for arXiv:2202.01602."}