{"as_of":"2026-08-12T05:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:42d38f71cfae34f70c3642b4b43e76f64ee4a298a6abc1b1c1fb48a57eff95f9","coverage":[{"denominator":17,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":17,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T22:17:36.667984Z","state":"measured"},{"denominator":17,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":17,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2502.09226/citation-record","integrity":"/paper/2502.09226/integrity","json":"/paper/2502.09226/citation-record.json","paper":"/paper/2502.09226"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:17:37.243461Z","title":"Theory Pract","venue":null,"work_id":"17d0f1d1-123f-43e3-ac49-033ffe086d88","year":2018},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.604263Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:b7094f9abba36deb151c21ffbd0632beca2fe7505bd96deabf08476d3346e6ed","observation_id":"c3d29852-b87b-4b8d-a581-773c9b2378f7","resolution":{"observed_at":"2026-08-07T22:17:37.247714Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1017/cbo9780511543357","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Cambridge University Press, doi:10.1017/CBO9780511543357","venue":"Cambridge University Press eBooks","work_id":"4f7186fc-0559-40d8-9e0e-b35e1e0f2e9c","year":2003},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.608534Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:4ca8ef96b109f3ed6b8cd4b3b814813c0ca0215f407b837442bf79366beafbb8","observation_id":"2e26d481-bffb-4c0c-adf0-a263dfd96a41","resolution":{"observed_at":"2026-08-07T22:17:36.748236Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:17:36.612210Z","title":"UCI Machine Learning Repository","venue":null,"work_id":null,"year":1996},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.612210Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:061c8d00cceb915a36ec57d88ba3d259fa8ec0159820c40fcc33fb3440468257","observation_id":"d34a65d4-09ad-47c9-9b5e-13bf003c8ac5","resolution":{"observed_at":"2026-08-07T22:17:36.612210Z","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":"2026-08-07T22:17:37.230803Z","title":"Bertossi (2020): An ASP-Based Approach to Counterfactual Explanations for C lassiﬁca- tion","venue":null,"work_id":"f7b62ac6-cd3c-4cb7-a8b7-521e232f49fe","year":2020},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.616106Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:59bbe8584998d8fb8874468b158c6ce5cb3436618e029dc1e8baa1514a3505e4","observation_id":"007ce6c8-4db7-42ac-8116-c80a60e156ca","resolution":{"observed_at":"2026-08-07T22:17:37.235221Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:17:36.620208Z","title":"UCI Machine Learning Repository","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.620208Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:7db6bffbcdc1592c4e7992b8be19b96e912b709bd03dcb16ffcd451e822cea88","observation_id":"c847786e-b84a-4f24-bb0f-6bb806db7985","resolution":{"observed_at":"2026-08-07T22:17:36.620208Z","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":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:17:37.169204Z","title":null,"venue":null,"work_id":"a743796c-210d-4deb-8a73-3d043f46f448","year":null},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.624377Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:88553ad6d57a9228acfe9eab756b62ff2a8bebaadf18191e0200413ef98499a0","observation_id":"c9661529-677a-4576-97ee-1452d75199bd","resolution":{"observed_at":"2026-08-07T22:17:37.173700Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T22:17:37.217755Z","title":"Available at https://github.com/sopam/Supplementary","venue":null,"work_id":"8928790c-18b1-4e65-a4a2-5cabd5707d77","year":2024},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.628943Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:55365eb9eb884639fbe17ba86febf9a3a37e68485012d0bc1caef6fa01792faf","observation_id":"e7bb5084-c941-4dcd-b56f-86a26051f063","resolution":{"observed_at":"2026-08-07T22:17:37.222756Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:17:36.632981Z","title":"Gelfond & Y","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.632981Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:3fb0a412d03f634567739cad99a9eefc5072417a864f54fda1080a7320866101","observation_id":"dba6aee3-e529-493f-a2f0-39f505cf9710","resolution":{"observed_at":"2026-08-07T22:17:36.632981Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:17:36.636850Z","title":"UCI Machine Learning Repository","venue":null,"work_id":null,"year":1994},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.636850Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:1c9124680d94d4d847b24e19b90ac4f4d504b881e4724f195da2c15263d16766","observation_id":"19664338-06f2-42a4-bcc1-9b45fa64f07a","resolution":{"observed_at":"2026-08-07T22:17:36.636850Z","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":"2026-08-07T22:17:37.205751Z","title":null,"venue":null,"work_id":"4f7c27d2-95bb-44a2-bb3a-6885bac215a0","year":2020},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.640649Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:8cb4528cd16add7ec547df6c10bcb021d9a0c3ce2d864a0794aa6ed2750ac3cc","observation_id":"9cd314ad-a62c-48a7-b2b9-104af40dc6cb","resolution":{"observed_at":"2026-08-07T22:17:37.209665Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:17:37.132349Z","title":"In: Proc","venue":null,"work_id":"30a81cbd-f0ed-4a98-b7af-5f8b61dbdb80","year":2021},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.644214Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:ab94bd93b88355dfd7e96f5efdd4355956419d497f64e764263661372a5c50bc","observation_id":"0c5e6a37-5a15-4522-a921-aae9aace4bae","resolution":{"observed_at":"2026-08-07T22:17:37.139671Z","resolver_source":"arxiv_id_nonexistent","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T22:17:37.192262Z","title":"Available at https://archive.ics.uci.edu/","venue":null,"work_id":"6d9774b0-41bf-4530-9510-be5c3dda9025","year":null},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.647790Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:b54496e1e8c7cb21c830d915c3fe85dcb94eee84679e86ecb1a2f6fa1fa09871","observation_id":"3c530edc-6a4e-4e90-84c5-2e4d4d03e54e","resolution":{"observed_at":"2026-08-07T22:17:37.197378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:17:36.652936Z","title":"Statistics Surveys 3(none), pp","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.652936Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:94c30b0a037dbd10ee5ecb236da457d91fa8286a39bdd33ddcdb6594eaca1d8d","observation_id":"581130bc-bf59-41a6-aa44-40daf1488933","resolution":{"observed_at":"2026-08-07T22:17:36.652936Z","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":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:17:36.964867Z","title":"In danah boyd & Jamie H","venue":null,"work_id":"99b8435c-fa45-47e4-b4a4-4c88fea7b1a5","year":2019},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.656617Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:d3aca6532593ba7846a0e436adc9f26c49ccad015a527ff13cba503838e3d680","observation_id":"ca3a59da-90ad-4012-903b-222e451c3325","resolution":{"observed_at":"2026-08-07T22:17:36.968841Z","resolver_source":"arxiv_id_nonexistent","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1711.00399","last_updated":"2018-03-21T11:43:46Z","snapshot_observed_at":"2026-07-06T06:07:14.578359Z","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":"2026-08-07T22:17:36.660073Z","title":"Mittelstadt & Chris Russell (2 017): Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.660073Z"},"links":{"cited_paper":"/paper/1711.00399","citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:b0c1d07975b99c3af88d78637222d769620f84b636271eb934d51c8e628614f1","observation_id":"af7a99d3-49e5-4ec6-85d9-6961848bd988","resolution":{"observed_at":"2026-08-07T22:17:36.660073Z","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":"10.1007/978-3-031-52038-9_3","metadata_source":"openalex","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-09T00:03:45.533247Z","title":null,"venue":"Lecture notes in computer science","work_id":"505dafc0-6b8d-4f79-bd79-e6709e53b023","year":2024},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.664345Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:c2582fcb7db55b42856f356849fd6620b55505dfad76e10e8e1d6da11ce401ad","observation_id":"155ec366-901d-4c67-997d-0091205de3d7","resolution":{"observed_at":"2026-08-07T22:17:36.700544Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T22:17:36.667984Z","title":"d’Avila Garcez (2020): Measurable Counterfactual Local Explanations for Any Classiﬁer","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T22:17:36.667984Z"},"links":{"citing_paper":"/paper/2502.09226"},"observation_digest":"sha256:ebcb0b6da97c93d761e863b27c3aeccb968228d0995456d3c075ce62213e4027","observation_id":"f9ce91ed-dde3-4589-9ed4-70d839609fc1","resolution":{"observed_at":"2026-08-07T22:17:36.667984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2502.09226","last_updated":"2025-02-13T11:51:53Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-09T13:04:18.985621Z","submitted_at":"2025-02-13T11:51:53Z","title":"Generating Causally Compliant Counterfactual Explanations using ASP"},"reference_resolution":{"displayed":17,"state_counts":{"malformed_identifier":3,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":8,"verified_exact":4,"verified_fuzzy":2},"total_outbound_references":17},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2502.09226."}