{"as_of":"2026-08-19T01:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:14245a1e065b63facab6b7f5579a96da8afffdae14ee53e074ec5b8a75e2f2e7","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:32:14.007474Z","state":"measured"},{"denominator":23,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":23,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T13:13:52.580574Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-05T13:13:52.906468Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"cited_work":{"arxiv_id":"1908.03020","doi":null,"metadata_source":"pith","pith_arxiv_id":"1908.03020","snapshot_observed_at":"2026-08-05T13:13:52.906468Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","venue":"cs.AI","work_id":"adbc8c27-468f-44ec-a0fa-9f0e28f81165","year":2019},"citing_paper":{"arxiv_id":"2509.00884","last_updated":"2025-08-31T14:55:12Z","snapshot_observed_at":"2026-08-14T16:40:35.124184Z","submitted_at":"2025-08-31T14:55:12Z","title":"An Explainable Gaussian Process Auto-encoder for Tabular Data","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-05T13:13:52.580574Z"},"links":{"cited_paper":"/paper/1908.03020","citing_paper":"/paper/2509.00884"},"observation_digest":"sha256:46c57f47df12c9c07891844c0241b5b9a6820816265014c5a7775b86ff23461d","observation_id":"42e0487e-65f9-4bd4-9ecf-c46e48025334","resolution":{"observed_at":"2026-08-05T13:13:52.961364Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1908.03020/citation-record","integrity":"/paper/1908.03020/integrity","json":"/paper/1908.03020/citation-record.json","paper":"/paper/1908.03020"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.261236Z","title":"Tickle, ‘Survey and critique of techniques for extracting rules from trained artiﬁ- cial neural networks’,Knowledge-Based Systems, 8(6), 373–389, (December 1995)","venue":null,"work_id":"2b047416-ff8b-414d-a2ee-5b303c387aea","year":1995},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.919008Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:15dc5a15dd05425917f87b52841ca547f9fa857ff3ef9fba4bf5a8ba895b083d","observation_id":"fd19e1ac-55c0-44dd-8098-4e9bcf32f806","resolution":{"observed_at":"2026-08-14T14:32:14.265776Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.251118Z","title":null,"venue":null,"work_id":"00b3df57-24c9-4671-af46-14fd622a5bc2","year":2017},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.923819Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:04b75e3b4ac78476fc25f8db673c774ab8cd3acf42aa0d9203b22aad688232ad","observation_id":"040d41ba-b773-4c25-bf01-8f059681ac58","resolution":{"observed_at":"2026-08-14T14:32:14.254268Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.241607Z","title":"CVPR 2017, Honolulu, USA, (2017)","venue":null,"work_id":"9af3e73f-f4e6-46e9-9af1-a084f2e131e8","year":2017},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.929674Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:48296b7a1f0a1f45e1958f2c8d7adaff85f796f2a11dacbcf35fd3ddc22ee26b","observation_id":"1b5679b2-5230-4a04-aec9-f83c08c04b74","resolution":{"observed_at":"2026-08-14T14:32:14.244803Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.231755Z","title":"Craven and Jude W","venue":null,"work_id":"b064279d-0c0b-47f4-85d4-475cce52f4ca","year":1995},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.934863Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:66e70222e6d459ff2d1a874c63bb1d01e1e98e4c10c7240a73b55660047bec28","observation_id":"3f45ff2f-ee09-47f7-8e8f-062f9111dc6a","resolution":{"observed_at":"2026-08-14T14:32:14.234937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.221924Z","title":null,"venue":null,"work_id":"05e679b0-5f9a-491e-ac0c-baca29ff9024","year":2015},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.939443Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:4bdd6063e5407b4aa23dc1860a0f3569d813eb265b483b47084e014365b91019","observation_id":"c167f776-d409-4063-a2a0-1e5464b25737","resolution":{"observed_at":"2026-08-14T14:32:14.225476Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.01933","last_updated":"2018-06-21T08:15:38Z","snapshot_observed_at":"2026-08-18T16:19:15.106541Z","submitted_at":"2018-02-06T13:20:02Z","title":"A Survey Of Methods For Explaining Black Box Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.01933","snapshot_observed_at":"2026-08-14T14:32:13.943522Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.943522Z"},"links":{"cited_paper":"/paper/1802.01933","citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:63f8e329cc717324335065ed38a7dd1c6883a83f5c884b88b9c4c900679ce139","observation_id":"98547003-f1f6-448f-b89c-9046fa9a2bbd","resolution":{"observed_at":"2026-08-14T14:32:13.943522Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.210833Z","title":"Machine learning interpretability with H2O driverless AI, 2017","venue":null,"work_id":"8b8e9024-9e8f-4b41-89af-ea90c7d43284","year":2017},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.948803Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:edf1c88c290d5c29a9ecac8687802c731dd63088a84f6c5e136785fd7c052af9","observation_id":"218e6374-0079-448e-ae2b-2cce8ac628ec","resolution":{"observed_at":"2026-08-14T14:32:14.214836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.199768Z","title":null,"venue":null,"work_id":"b551dfd4-e567-4725-9b6e-7a980a5ed7d9","year":2017},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.952338Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:35c9145c52ec1a6ad38b6708ba344a7a5d09e98544c0e8e4debb86e87f546f82","observation_id":"59319b74-df4b-4823-ad62-c44759fe2c96","resolution":{"observed_at":"2026-08-14T14:32:14.203660Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.00663","last_updated":"2018-06-02T16:30:24Z","snapshot_observed_at":"2026-08-18T17:15:49.524224Z","submitted_at":"2018-06-02T16:30:24Z","title":"Locally Interpretable Models and Effects based on Supervised Partitioning (LIME-SUP)","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.00663","snapshot_observed_at":"2026-08-14T14:32:13.956984Z","title":"Nair, and Agus Sudjianto, ‘Lo- cally interpretable models and effects based on supervised parti- tioning (LIME-SUP)’,CoRR, abs/1806.00663, (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.956984Z"},"links":{"cited_paper":"/paper/1806.00663","citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:3506b8bd08aabe6b96d09defd537c8bc8a9958741bfafade44434f8d4bf7a8bc","observation_id":"a1942542-84ae-4245-8ce8-0e211e96ce94","resolution":{"observed_at":"2026-08-14T14:32:13.956984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.189607Z","title":null,"venue":null,"work_id":"7aba43c8-d798-4095-8810-9edfcf5e4347","year":2005},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.960562Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:dd0980649289c36a56a306a15004ceff476ca5f16bcb649a0860ede721e1105c","observation_id":"84c4c8ab-5378-4e8f-abf7-f49e671aa108","resolution":{"observed_at":"2026-08-14T14:32:14.193141Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.179143Z","title":"4765–4774, (2017)","venue":null,"work_id":"ef6b4c8c-4066-4495-861f-5a394e3ba001","year":2017},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.964722Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:c652872673da593f5861a063727a1b9dfd6cec2637bd3a84a9af66a8e651e62b","observation_id":"9ade1076-12eb-4c36-b855-3f945204e8f4","resolution":{"observed_at":"2026-08-14T14:32:14.182647Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.03163","last_updated":"2020-12-03T03:06:06Z","snapshot_observed_at":"2026-08-18T20:44:43.198772Z","submitted_at":"2018-11-07T22:05:45Z","title":"Contrastive Explanation: A Structural-Model Approach","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.03163","snapshot_observed_at":"2026-08-14T14:32:13.969406Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.969406Z"},"links":{"cited_paper":"/paper/1811.03163","citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:8c46c738f445e0624d9058f40f6e3b956d2ff1071cf21785eabef40d7f893056","observation_id":"1fcc793c-b321-4f39-b116-d64e38b4feab","resolution":{"observed_at":"2026-08-14T14:32:13.969406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.169187Z","title":null,"venue":null,"work_id":"2afb413c-a650-418b-a72b-0ece14a64acf","year":2018},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.975273Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:cf9cf47aa2a609a286537a6d8d71aaa6342be08916be4cd010405889406dd97b","observation_id":"62358b57-9298-4413-9acd-5f80e040e464","resolution":{"observed_at":"2026-08-14T14:32:14.172570Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.158608Z","title":"537–543, (2017)","venue":null,"work_id":"1ec2b08e-1465-4182-a598-62bf7ac7a54d","year":2017},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.979271Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:cb090499ed7ee066c9614fe23599d67a8f8111aedce20ea3ce0e2e219cfefcfc","observation_id":"97b1e669-4c46-4d26-a69c-784adfb9237b","resolution":{"observed_at":"2026-08-14T14:32:14.162195Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.146741Z","title":"Conference on Fairness, Accountability, and Transparency , FAT’19, pp","venue":null,"work_id":"c7d59005-4b50-4973-bc8c-9bae7f7c4b46","year":2019},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.983290Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:29f9632ef8f1d65c1b5b0e319961303c39a0e141cbc640a72ea904d4972873a7","observation_id":"110e9623-a56a-4392-ac42-66837398104b","resolution":{"observed_at":"2026-08-14T14:32:14.151163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.134956Z","title":null,"venue":null,"work_id":"c0acf67d-1b98-496f-9d26-5a5f3f237130","year":2009},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.987211Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:04df952a95a09d2402348365934b8b7b89cbd69da867f42c045ee50a251fdc41","observation_id":"5fab805a-62f1-4e5e-9bf6-100218e357c9","resolution":{"observed_at":"2026-08-14T14:32:14.139442Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.123781Z","title":"ACM SIGKDD 2016, KDD ’16, pp","venue":null,"work_id":"76265afb-e3a3-4d63-8f0f-246636c9865f","year":2016},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.990720Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:ea1bb8c59aec4c3efb03d40c4c7ef6d30a68cda9ecec7f7af48b36f3838be0c2","observation_id":"a92827a4-6188-4794-a624-ef36d945594d","resolution":{"observed_at":"2026-08-14T14:32:14.127410Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.113538Z","title":null,"venue":null,"work_id":"e270fef5-aa60-4e52-9caf-623ab85c36ea","year":2018},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.994094Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:a072098b62fd21e39a6be23a014009d40022c19a8a7dac30292970cf3608ba04","observation_id":"1543ae60-caab-4854-8ebe-7ec1d15c2287","resolution":{"observed_at":"2026-08-14T14:32:14.116861Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.102500Z","title":"Tran and Artur S","venue":null,"work_id":"8bb5974a-ce83-47a0-bca6-03d4a4e87a6a","year":2018},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:13.997427Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:5e50273e4103a581b98b328311ab8b0981670ae834b5502f092fb0bd78c06a87","observation_id":"bb7ce897-62a6-4bf2-9dde-034c02386a59","resolution":{"observed_at":"2026-08-14T14:32:14.106020Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.00399","last_updated":"2018-03-21T11:43:46Z","snapshot_observed_at":"2026-08-14T20:17:58.265867Z","submitted_at":"2017-11-01T15:39:23Z","title":"Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.00399","snapshot_observed_at":"2026-08-14T14:32:14.000584Z","title":"Mittelstadt, and Chris Russell, ‘Coun- terfactual explanations without opening the black box: Auto- mated decisions and the GDPR’,CoRR, abs/1711.00399, (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:14.000584Z"},"links":{"cited_paper":"/paper/1711.00399","citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:313bdb82a37453473b6da700b242c7794a4351895ead68b5aa25d219afdd8f4f","observation_id":"d2f141fc-c831-4456-8bd8-0292b1871bb3","resolution":{"observed_at":"2026-08-14T14:32:14.000584Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.091001Z","title":"Ororbia, II, Xinyu Xing, Xue Liu, and C","venue":null,"work_id":"1c747be2-d13a-4526-86ed-b91db5e7fa11","year":2018},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:14.004395Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:80bb57921b85d8299eb45994a99f87d3fc67fb1865ee01dc3d958adb71194bb6","observation_id":"078056d5-409a-4314-aa25-4d1b1e967b11","resolution":{"observed_at":"2026-08-14T14:32:14.094814Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T14:32:14.078507Z","title":"Woodward, Making things happen: a theory of causal expla- nation, Oxford University Press, Oxford, England, 2003","venue":null,"work_id":"68777b78-227a-4d8e-ada6-5d620c4c37a0","year":2003},"citing_paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:32:14.007474Z"},"links":{"citing_paper":"/paper/1908.03020"},"observation_digest":"sha256:761931c2518f087640478b3d053d926c9e1fa165304e38bea43a3ee5909985f7","observation_id":"21995ce9-9034-40fc-a575-91542e0420bc","resolution":{"observed_at":"2026-08-14T14:32:14.083540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.03020","last_updated":"2019-11-24T02:00:56Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-19T00:26:20.703385Z","submitted_at":"2019-08-08T11:16:22Z","title":"Measurable Counterfactual Local Explanations for Any Classifier"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":22},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:1908.03020."}