{"as_of":"2026-08-11T16:52:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b5e2377607298edd02fd82d27a094cb5d1d9eefc780d0e21eab9c24f2f867a50","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T11:11:38.799430Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"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/2509.03187/citation-record","integrity":"/paper/2509.03187/integrity","json":"/paper/2509.03187/citation-record.json","paper":"/paper/2509.03187"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:39.654518Z","title":null,"venue":null,"work_id":"49e8c443-be48-4b46-a1a2-4c3b0cc1f4bf","year":null},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:36.895175Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:600832eb157ae1dfe270ddfe7dbb9f33e8cb086cc63650f15424952d589d8f86","observation_id":"83217e79-3837-41c0-9fe8-00bbb761d79f","resolution":{"observed_at":"2026-08-05T11:11:39.658495Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:37.194179Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.194179Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:579374d06941ef3229487ee2978e9c50739d408133bc63fc1d5a8435e7dc47c8","observation_id":"c7047bfa-8bde-4386-9f5c-9188f8709583","resolution":{"observed_at":"2026-08-05T11:11:37.194179Z","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":"2026-08-05T11:11:37.324033Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.324033Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:0ba084849ae33f45131abd250bf6b38537879eb5feaf997712b5ca486dc8c6b7","observation_id":"242d854f-a53f-4461-bb08-5a041874dd42","resolution":{"observed_at":"2026-08-05T11:11:37.324033Z","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":"2026-08-05T11:11:37.384394Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.384394Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:ef8741f1cb91dea7201643952f1916d46f31b2636a70cca9eba5cb20bcf7bd3c","observation_id":"9b93e670-751d-4b1b-805c-f2ca2bdaf584","resolution":{"observed_at":"2026-08-05T11:11:37.384394Z","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":"2026-08-05T11:11:37.248723Z","title":"In Proceedings of the 1st workshop on deep learning for recommender systems","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.248723Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:cade9c368d993d6cbcb8f9d69dead6f73a0c0a6ac927785bc2399d392e7a7359","observation_id":"4f4d25ec-58cf-493e-b97c-de297330f140","resolution":{"observed_at":"2026-08-05T11:11:37.248723Z","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":"2026-08-05T11:11:39.593363Z","title":null,"venue":null,"work_id":"ce001882-9c2c-40f9-973e-41ab5fb601a2","year":2021},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.454293Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:bc94b5445902f56718c5ba0ff4f44203cd081470aae2f79290c955966411434d","observation_id":"ee6fad4e-4ef5-4b69-a300-00c792fcdeb3","resolution":{"observed_at":"2026-08-05T11:11:39.597636Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:39.574756Z","title":null,"venue":null,"work_id":"37c0e50d-11e7-4a8a-88e8-a24ef1a24736","year":2021},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.531262Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:3d71ef89e587db8d43c908b73ec987ac48bd3aa5cefeee9d38eb7b519f050231","observation_id":"e0938a28-8847-4de6-be87-caace92c71de","resolution":{"observed_at":"2026-08-05T11:11:39.578951Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:37.412737Z","title":null,"venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.412737Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:af4271cc7fdf0e0839e58744f3e365b43428307e7994af4823ef9c198b6d69cd","observation_id":"15fe7ce5-1e20-4f20-8a1a-3a8d3f5f5440","resolution":{"observed_at":"2026-08-05T11:11:37.412737Z","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":"2026-08-05T11:11:39.558004Z","title":null,"venue":null,"work_id":"3f2d7b38-9aa7-4881-b405-5e3b662bb5f6","year":2020},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.725830Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:58c1c40ba3865f4a7f6e87120f046820ba1c73498974097087b491df1e4b7ec5","observation_id":"e1c4090b-bba4-40c3-a6a3-82f01c139a43","resolution":{"observed_at":"2026-08-05T11:11:39.562239Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:39.544696Z","title":null,"venue":null,"work_id":"f2174131-5cce-4ebf-b154-28b214bf740d","year":2020},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.787217Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:ca557cdc82b791efa886d68b70aef9c2997b7a15b44bccf65108358625bb4cda","observation_id":"0a60ba76-f38c-4eb8-893e-e27e3c449000","resolution":{"observed_at":"2026-08-05T11:11:39.548556Z","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":{"arxiv_id":"1703.04247","last_updated":"2017-03-13T04:55:19Z","snapshot_observed_at":"2026-07-06T05:33:25.278531Z","submitted_at":"2017-03-13T04:55:19Z","title":"DeepFM: A Factorization-Machine based Neural Network for CTR Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1703.04247","snapshot_observed_at":"2026-08-05T11:11:37.601747Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.601747Z"},"links":{"cited_paper":"/paper/1703.04247","citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:00f36222aef393968dd18eac438c45c3d8b33041d75be8b1d2abca48134fe97f","observation_id":"b203a3a7-e515-47d8-932d-2d1318d168a3","resolution":{"observed_at":"2026-08-05T11:11:37.601747Z","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":"2026-08-05T11:11:37.926959Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.926959Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:d734c77e75f83eb4224fcee338d833e01cafbdea162deddae9d8b764125665cc","observation_id":"ab5c9358-4a5f-48b5-9cd3-07eeb862f2ee","resolution":{"observed_at":"2026-08-05T11:11:37.926959Z","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":"2026-08-05T11:11:38.044577Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:38.044577Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:5ad40a78d62e2ad40ba29c2513685adc66eb7604526214c30043cd5b83b31346","observation_id":"9723501d-804a-4663-882b-ec97a54e35f6","resolution":{"observed_at":"2026-08-05T11:11:38.044577Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1906.00091","last_updated":"2019-05-31T21:51:16Z","snapshot_observed_at":"2026-08-02T13:53:54.252223Z","submitted_at":"2019-05-31T21:51:16Z","title":"Deep Learning Recommendation Model for Personalization and Recommendation Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1906.00091","snapshot_observed_at":"2026-08-05T11:11:37.837490Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:37.837490Z"},"links":{"cited_paper":"/paper/1906.00091","citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:5417a72c3cc1bec47adf6452978bb84e9dcc4a49f23fa342f599b260886eba4f","observation_id":"e801408a-0e35-4119-bcea-712fe24c0d81","resolution":{"observed_at":"2026-08-05T11:11:37.837490Z","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":"2026-08-05T11:11:39.483658Z","title":null,"venue":null,"work_id":"3c578b7c-7550-4669-a4c7-9563acb9f323","year":2023},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:38.308328Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:ed9246ffb2d4acb574656c5c0774253d82b9cd03a792e2049d6f672c5b444d20","observation_id":"3432fd1b-dd52-43be-b698-cffe0f6cd7f5","resolution":{"observed_at":"2026-08-05T11:11:39.487741Z","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":"2021.10797","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:39.061153Z","title":null,"venue":null,"work_id":"2829d6be-8765-4560-8e40-c3f526a050ed","year":2022},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:38.357298Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:e8aac5dd133cb3ddc88212ba51e6c337cb2016dc3708ece9ab711afd57ae0fb4","observation_id":"17a1e714-cf0f-49e9-9ed6-a4f156e28be6","resolution":{"observed_at":"2026-08-05T11:11:39.168313Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"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":"2026-08-05T11:11:39.521516Z","title":"In 2016 IEEE 16th International Conference on Data Mining (ICDM)","venue":null,"work_id":"ab2157f3-a8b9-4a11-91f0-d00764c9969c","year":2016},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:38.128896Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:029e902d8fddabd09a18af9a2d55cd05f7d235437bd75aee618dc4bf0869a098","observation_id":"6ffa4612-9fd6-4f08-b0d8-ae2220f374be","resolution":{"observed_at":"2026-08-05T11:11:39.526253Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:39.507547Z","title":"Why should i trust you?","venue":null,"work_id":"0fd8d6ce-b809-4041-8e02-c25af2f0729a","year":2016},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:38.224236Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:d84d7ecfd1b90b3cffff5e91b736502fad084518ec1d2ace2fc9092af9e418bf","observation_id":"789e3417-8657-4a25-ada0-c70725eb5b3e","resolution":{"observed_at":"2026-08-05T11:11:39.512167Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:39.456379Z","title":null,"venue":null,"work_id":"1cb7dbaa-4bf9-4eb0-8eda-a8d09b9f907d","year":2017},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:38.598041Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:82c0c994816d1248d77529ac1c6fbd47c47ebbdfbb9c893218fb4f915fa99933","observation_id":"9fb25691-fc89-4ab6-8dfa-74763e6d2adb","resolution":{"observed_at":"2026-08-05T11:11:39.460317Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:39.443101Z","title":null,"venue":null,"work_id":"0bd18dd4-6209-4a04-ac1d-342c9a2a87e1","year":2020},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:38.712602Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:5b6b68202924d60e44ed8fd4d294e966de14701a334199ed41c253f7369d1132","observation_id":"c14a46a6-02fa-4d08-82c0-f673ccfbf536","resolution":{"observed_at":"2026-08-05T11:11:39.447079Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:39.469942Z","title":null,"venue":null,"work_id":"a7c030c3-afae-4238-9360-4de3aa637447","year":2016},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:38.440360Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:6e2792d651b739825545b7bbe198872ff941ff3a75ec1eb482749691e3d39416","observation_id":"5016d397-c817-4828-a1e0-a5a55e4b0b75","resolution":{"observed_at":"2026-08-05T11:11:39.473815Z","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":{"arxiv_id":"2010.10596","last_updated":"2022-11-15T20:57:53Z","snapshot_observed_at":"2026-07-06T10:06:25.277680Z","submitted_at":"2020-10-20T20:08:42Z","title":"Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.10596","snapshot_observed_at":"2026-08-05T11:11:38.513278Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:38.513278Z"},"links":{"cited_paper":"/paper/2010.10596","citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:e024689584e28829947597cb43a7593b6c198d1963a324d8a8535b2cb6ae6d7a","observation_id":"3d092b7c-0f35-4ef3-8978-0f5127ac1e28","resolution":{"observed_at":"2026-08-05T11:11:38.513278Z","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":"2026-08-05T11:11:39.429664Z","title":null,"venue":null,"work_id":"9b17037a-e099-4aae-88f7-d0ced5c47971","year":2018},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:38.799430Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:30a99165f4fca2e46ee61e1a47c98e8ace2cf47e9b6ca72b93ac5faa8fd9866e","observation_id":"75496518-3745-456f-a082-f9231740bf6b","resolution":{"observed_at":"2026-08-05T11:11:39.433702Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-05T11:11:39.641383Z","title":"In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","venue":null,"work_id":"e7b8528b-4a20-4259-ba5d-f8dcd647b069","year":null},"citing_paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T11:11:36.976392Z"},"links":{"citing_paper":"/paper/2509.03187"},"observation_digest":"sha256:ed465f3db80873d7c54821b1be3c6e0de401c1bc76e260ab125b0759a7097060","observation_id":"1c70c86d-d2f2-424f-9711-124d32b36f14","resolution":{"observed_at":"2026-08-05T11:11:39.645664Z","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"}}],"paper":{"arxiv_id":"2509.03187","last_updated":"2025-09-03T10:17:41Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-05T11:11:36.354383Z","submitted_at":"2025-09-03T10:17:41Z","title":"Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":20,"verified_exact":0,"verified_fuzzy":3},"total_outbound_references":24},"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 11 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2509.03187."}