{"as_of":"2026-08-15T13:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d2bbb9a5457dc421507d8fd1951d665787a41787bb802344982630def1f44e77","coverage":[{"denominator":82,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":82,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:58:25.713213Z","state":"measured"},{"denominator":82,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":82,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/2505.20512/citation-record","integrity":"/paper/2505.20512/integrity","json":"/paper/2505.20512/citation-record.json","paper":"/paper/2505.20512"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T13:58:20.332660Z","title":"Imagenet: A large-scale hierarchical image database,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:20.332660Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:1c34fae366446a429a17c8e22d2bf3ba95b5eb8c1cc54c68c0424c96820d48f9","observation_id":"b2da1ba1-e497-4f8c-8584-5f03d3f31038","resolution":{"observed_at":"2026-08-07T13:58:20.332660Z","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":"2026-08-07T13:58:20.409295Z","title":"Towards fairer datasets: Filtering and balancing the distribution of the people sub- tree in the imagenet hierarchy,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:20.409295Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:6463d4a531b05009b582497b8a9a37986157958bab7fa7b7c68f1ee7994a7e82","observation_id":"836c7b65-a239-46fa-be25-af6ccdcf28dd","resolution":{"observed_at":"2026-08-07T13:58:20.409295Z","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":"2026-08-07T13:58:34.045434Z","title":"Distributionally robust neural networks for group shifts: On the importance of regular- ization for worst-case generalization,","venue":null,"work_id":"5d4627b5-29b1-4486-8a29-f16edcd537da","year":2020},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:20.510154Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:fcb402dd65ef173e515b6943a0f4f4e39ca1609d7eeba65397823e7659459270","observation_id":"def13f18-0fc0-4fe4-af8a-7bbf7c190e82","resolution":{"observed_at":"2026-08-07T13:58:34.128899Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:33.823175Z","title":"Directional bias amplification,","venue":null,"work_id":"7f7101aa-5dd4-45a5-9019-5a54a4d5b6f3","year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:20.555508Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:9d0ffbcf13db0ec0228001f647e863ab6b5a08ac121a58435a97909194d07d74","observation_id":"b576de7c-58c2-40db-92bb-cde7cbd19f7d","resolution":{"observed_at":"2026-08-07T13:58:33.924561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:33.649829Z","title":"Domino: Discovering systematic errors with cross-modal embeddings,","venue":null,"work_id":"c95543af-e5c8-45ba-9de3-fde061edc107","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:20.653084Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:921a3afe944d13286b2ec80b92500cd457d1da86ef7ad055a439e25073957de1","observation_id":"1e683217-2ff9-4561-a15b-0d7df3f35078","resolution":{"observed_at":"2026-08-07T13:58:33.711544Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:33.481232Z","title":"No subclass left behind: Fine-grained robustness in coarse-grained classification problems,","venue":null,"work_id":"7cac79b0-4f54-4d84-8611-61ba1a56d721","year":2020},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:20.783192Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:3438c08828c91fa720d938b3eda9f7cec2796253653ac14140994e64d1cad2eb","observation_id":"c98cd524-af08-448b-8cd2-4b7cc3c1d302","resolution":{"observed_at":"2026-08-07T13:58:33.584187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:33.363593Z","title":"Trustworthy artificial intelligence,","venue":null,"work_id":"9f6f0dac-3137-446b-81a4-bcb57b5cfc6c","year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:20.884675Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:b5520616536bfbda26b5edaaa63aac18bc0b1e74f3deb837fe347cb884d7f40f","observation_id":"806fbd4a-c104-45a5-a26e-74c0f1291db1","resolution":{"observed_at":"2026-08-07T13:58:33.405078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:33.175277Z","title":"The global landscape of ai ethics guidelines,","venue":null,"work_id":"9a37ac19-4019-436f-84c3-94f56c97f07e","year":2019},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.003523Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:16a4c50551e30358c718eb06f7fc2f20a6aff88c205cf1a50b53f8a2d92c2898","observation_id":"1871c407-29cf-40ad-b0ee-01c6dcb94dc0","resolution":{"observed_at":"2026-08-07T13:58:33.253120Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:21.074924Z","title":"Explainable artificial intelligence (xai): Concepts, taxonomies, opportu- nities and challenges toward responsible ai,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.074924Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:952bc7f36f3a8d6a6007173ed2fb5615e00b1d2231a286d037f1a248bde1044e","observation_id":"5d7f053c-64d6-4ac8-a044-23d3ef575526","resolution":{"observed_at":"2026-08-07T13:58:21.074924Z","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":"2026-08-07T13:58:21.154740Z","title":"Reliable crowdsourcing and deep locality- preserving learning for expression recognition in the wild,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.154740Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:e0b191a234e877d98e45cb54852f640ef24350ee296fd79ae3b8e212789ed5b8","observation_id":"f2e2dcaf-da16-4584-a0ab-bcea9f170800","resolution":{"observed_at":"2026-08-07T13:58:21.154740Z","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":"2026-08-07T13:58:33.002991Z","title":"Anatomizing bias in facial analysis,","venue":null,"work_id":"86dae20e-8f97-4289-805a-f8aff6ee429d","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.217921Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:8331c40c9eaaf4231c9a76fc1421ad40cdc22c63466cab19fbba15e93c320bb8","observation_id":"e2dd66b5-3db3-4a71-bcea-0fe6fea46b6b","resolution":{"observed_at":"2026-08-07T13:58:33.082439Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:32.848487Z","title":"Fairgrape: Fairness-aware gradient pruning method for face attribute classification,","venue":null,"work_id":"e5eda77f-45f4-454d-8f4b-11e746e419dc","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.284763Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:af4698ff069aae794d42a2c0cae32e2dfc5af9c9af3914c5dd8ad63596b6521b","observation_id":"ee21bbfb-a3db-4e26-aec6-22427cf38837","resolution":{"observed_at":"2026-08-07T13:58:32.921115Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:32.664792Z","title":"Fair contrastive learning for facial attribute classification,","venue":null,"work_id":"21c36e8a-4668-41e0-8d71-d81263af96c3","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.343049Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:e0555877a2d1c0549fe19329bff425cdf4598a0724b862a96f73ae2b8b1eed8b","observation_id":"21c14730-638d-48b9-8c87-f8d11f39f3e0","resolution":{"observed_at":"2026-08-07T13:58:32.744535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:32.487312Z","title":"Fair attribute classification through latent space de-biasing,","venue":null,"work_id":"f1fb2969-e9cb-4580-98f7-3dc7e91c024c","year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.401851Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:66835f8d192102d75f85f0227b877433cfab37cd20fbe40dd200a7da3e6ec24e","observation_id":"ca045d97-1904-4dd6-a0ed-ba543916f986","resolution":{"observed_at":"2026-08-07T13:58:32.537799Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:21.443690Z","title":"Bias and fairness in face detection,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.443690Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:bbb1a189cb42cbaae531fc96d1d85a6ccd3fe5ae4760551a60dca7fbff9a2956","observation_id":"b10ee130-565b-46f9-8d54-7dcfe9f15a66","resolution":{"observed_at":"2026-08-07T13:58:21.443690Z","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":"2026-08-07T13:58:32.346281Z","title":"Enhancing fairness in face detection in computer vision systems by demographic bias mitigation,","venue":null,"work_id":"cb1fbb26-6af3-47ab-90c0-cf137546b6b2","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.496746Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:97d443e3bff830da5f16362a503ebca462c81d025398e28efa01e265e027950e","observation_id":"1a18a2cd-c9ca-445a-9c97-ef31b6960cc0","resolution":{"observed_at":"2026-08-07T13:58:32.400794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:32.187550Z","title":"Gender shades: Intersectional accuracy disparities in commercial gender classification,","venue":null,"work_id":"f3764d13-d087-48d7-bc2d-d67ac6b4ee0a","year":2018},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.564833Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:6c7bbc869db4b270efc287969f409813ae904c9a241ce36920e58ddd7a39c905","observation_id":"6204de26-43d7-4420-a2c7-4c27928f3db4","resolution":{"observed_at":"2026-08-07T13:58:32.243882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:32.004425Z","title":"Mitigating bias in face recognition us- ing skewness-aware reinforcement learning,","venue":null,"work_id":"dd3ecec1-e863-4ca3-a8b4-496e497482d7","year":2020},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.640499Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:599f7a2b215571be59b2661cb15ba26c1a0219c3ad3df301a8bec034dd4ed0b0","observation_id":"f076affd-198c-464a-9c23-87f654feadd8","resolution":{"observed_at":"2026-08-07T13:58:32.098124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:31.811791Z","title":"Racial faces in the wild: Reducing racial bias by information maximization adaptation network,","venue":null,"work_id":"2804aabc-31e4-4f90-a797-8fbfec3e8cca","year":2019},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.731742Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:3eefd0508cf18cdd098a5140b83797f7dfcfbe1b859f2496bd7bdf0b04d0c517","observation_id":"142ff9ab-e48e-4f83-9fef-2890ebda03c0","resolution":{"observed_at":"2026-08-07T13:58:31.928609Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:31.640665Z","title":"Mitigating face recognition bias via group adaptive classifier,","venue":null,"work_id":"67c48de7-f486-41db-a97d-11657e7c1a59","year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.797733Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:72e7d645dd7fccc3237709bf1e4502597793ed0f3b9c608ae542db6c713b362f","observation_id":"9b908050-e876-47a3-827e-a9a2294d22e2","resolution":{"observed_at":"2026-08-07T13:58:31.708073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:31.437236Z","title":"Consistent instance false positive improves fairness in face recognition,","venue":null,"work_id":"ca0515d0-2cdb-4dba-ac27-324a06a46678","year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.858603Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:1652e1a247482764806bd65762e208ff90479e9516724f70a7c43c3f8d2cc8a9","observation_id":"60abdc28-965d-46c3-8414-8a1006594c3b","resolution":{"observed_at":"2026-08-07T13:58:31.543378Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:31.278693Z","title":"Farapy: An augmented reality feed- back system for facial paralysis using action unit intensity estimation,","venue":null,"work_id":"45f6bc0b-4067-4fc0-ab6d-b8ad98fb0a2a","year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:21.973526Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:4dc0f926ede617b1fdaf52a0bba3fb8e2b6361e567604a33e3021f8aa7ac9808","observation_id":"c93ed86a-dc64-48f5-ac75-54b50bbced1e","resolution":{"observed_at":"2026-08-07T13:58:31.325653Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:31.138796Z","title":"Partially occluded facial action recognition and interaction in virtual reality applications,","venue":null,"work_id":"3aaf68d2-7638-47e1-b971-68fb6e4105c5","year":2017},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.101622Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:55d50cb392b14b943a12b93e65ebd5efca307a907d4693769ec8aa57652d1793","observation_id":"c14b8da9-c1fa-46e4-b541-d2a85a14b9c8","resolution":{"observed_at":"2026-08-07T13:58:31.195112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:31.010611Z","title":"Real time face detection and facial expression recognition: Development and applications to human computer interaction","venue":null,"work_id":"708042ab-f4b5-40ae-808e-b48b8183b3c6","year":2003},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.191272Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:77d63172ae11fd2075a925c1ce91c34dd1234874baaed089e69b0c0f4eacf234","observation_id":"ed442b02-f7d0-4ff0-ba58-33468e319d49","resolution":{"observed_at":"2026-08-07T13:58:31.063860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:30.891780Z","title":"Emotion recognition in human-computer interaction,","venue":null,"work_id":"ed8eba08-570b-45c8-bea5-4e65088abd50","year":2001},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.241895Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:c8ffbd5ea46ad7215b084d64a0fcd4f7bb5a1e7cdcb2410a970956132b6ed918","observation_id":"080b35f7-50c0-4a8d-b97a-8d19e9224d7f","resolution":{"observed_at":"2026-08-07T13:58:30.947724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:30.768988Z","title":"Automated detection of facial expressions during computer-assisted instruction in individuals on the autism spectrum,","venue":null,"work_id":"c5300821-ad07-495f-bf62-e8b97c6c8192","year":2017},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.295946Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:f27df52a1267a90f7f9cb9668c672e05b46648f90d7404be42414ef704a807d6","observation_id":"455993f9-ca6f-4a94-811e-973a23b874d1","resolution":{"observed_at":"2026-08-07T13:58:30.822390Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:30.638664Z","title":"Toward fair facial expression recogni- tion with improved distribution alignment,","venue":null,"work_id":"3ac9b84b-12e0-49f8-9737-d5041efaf80c","year":2023},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.377854Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:2546bf1f4bf4429337ea57666a8dade82b8bc1eae72161e9c8eabddbdf5a05d3","observation_id":"545004ba-9b21-4b16-bd27-00ebfdf013e1","resolution":{"observed_at":"2026-08-07T13:58:30.699838Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:22.449042Z","title":"Investigating bias and fairness in facial expression recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.449042Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:761ac719a7d6ceb859cb9a5db2f30ddc3be7dd72d3cb6d1a5e4a2a3b6c241d5a","observation_id":"39457d66-4158-4d2b-a565-7c3beb87bdd2","resolution":{"observed_at":"2026-08-07T13:58:22.449042Z","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":"2026-08-07T13:58:30.482717Z","title":"Counterfactual fairness for facial expression recognition,","venue":null,"work_id":"a945173f-c455-47c9-8889-bca6d58fcccb","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.520696Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:9bd75f0216b85c6ac53c97d0c24cfaf85e240b728dc66f5c008adc90ad1e65d2","observation_id":"d918d9ac-3100-4174-9dd4-f419037c90d8","resolution":{"observed_at":"2026-08-07T13:58:30.552493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:30.345809Z","title":"Domain-incremental continual learning for mitigating bias in facial expression and action unit recog- nition,","venue":null,"work_id":"4726f850-84e2-4c66-b544-f59c87293811","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.568740Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:e35c3a2ced85d5526319d724fca23b3bc8604c91e68c495e466ccbee73d63791","observation_id":"da290a11-b017-4337-b7ff-19d6728b8f14","resolution":{"observed_at":"2026-08-07T13:58:30.419909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:30.217497Z","title":"Using positive matching contrastive loss with facial action units to mitigate bias in facial expression recognition,","venue":null,"work_id":"3859b8a4-1db8-4066-bd5b-fa8c5287fb57","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.626214Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:1364802afd37195531efed2db007994648371bce9d819f1173e3509106aaf924","observation_id":"9f9547c5-1f20-4502-bf02-7f806c289b7e","resolution":{"observed_at":"2026-08-07T13:58:30.288703Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:22.674056Z","title":"Facial emotion recog- nition analysis based on age-biased data,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.674056Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:15963673bbd992373056f6ddaf13904c48be4390de1f668bbe87f26c3eead464","observation_id":"41e0ded9-e963-4e29-8aff-1efa4109b4b2","resolution":{"observed_at":"2026-08-07T13:58:22.674056Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.11436","last_updated":"2021-03-21T17:00:21Z","snapshot_observed_at":"2026-07-06T10:51:51.998728Z","submitted_at":"2021-03-21T17:00:21Z","title":"Responsible AI: Gender bias assessment in emotion recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.11436","snapshot_observed_at":"2026-08-07T13:58:22.777104Z","title":"Responsible ai: Gender bias assess- ment in emotion recognition,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.777104Z"},"links":{"cited_paper":"/paper/2103.11436","citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:8fe2d7a597de6edbe6799cfb6d1d4457656b781c510845cfd8ccc66c37c397aa","observation_id":"52b9d2d6-77ce-4601-af69-2ebfe5855643","resolution":{"observed_at":"2026-08-07T13:58:22.777104Z","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":"2026-08-07T13:58:30.107678Z","title":"Facial expression recognition: Impact of gender on fairness and expressions,","venue":null,"work_id":"c06b9166-4ff8-473a-a377-3a90769f00a6","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.878801Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:2bf1d7647972b00ce74b66087ce3dfad4e911beb7519ba4bf9bed23a63bcd4dd","observation_id":"7500b9b0-20fa-4b22-8a53-118427b045eb","resolution":{"observed_at":"2026-08-07T13:58:30.160225Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:29.990516Z","title":"Gender stereotyping impact in facial expression recognition,","venue":null,"work_id":"90d6f621-b6fe-4baa-af4f-16fe4889c200","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:22.960106Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:accd26d6b93c2cb33d7c3ebd0548d7629c8108c15311b7ff6ca0d85a0b4d6a0a","observation_id":"bc2b1403-c6ca-49b9-b14a-1e50196cbd84","resolution":{"observed_at":"2026-08-07T13:58:30.061209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:29.855075Z","title":"Less can be more: representational vs. stereotypical gender bias in facial expression recognition,","venue":null,"work_id":"fd7bd996-7d08-4f1a-b94d-efc58c059c01","year":2024},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.036061Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:ac981ab6750f73a7efbbfdfd53f7fdf2063b42de58958d970a0cd15d59ee5a8f","observation_id":"ec8759f2-a89e-47e4-a5ea-49dc7ba2a71f","resolution":{"observed_at":"2026-08-07T13:58:29.918804Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:29.734936Z","title":"Ethical ai in facial expres- sion analysis: Racial bias,","venue":null,"work_id":"98ef9743-7e54-4dcf-bc48-2b5cc0e701b6","year":2023},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.077898Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:45500dcd378fe98190ff05ba31d54df5ecd0066bbf3ab1cfd1a2ce218bcf94fb","observation_id":"be2cca16-4422-4c4d-8d12-10dd87cf4b79","resolution":{"observed_at":"2026-08-07T13:58:29.783327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:29.625705Z","title":"Demographic effects on facial emotion expression: an interdisciplinary investigation of the facial action units of happiness,","venue":null,"work_id":"1fb1b58d-6e63-4f0f-b772-d127414e3e83","year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.157766Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:cf3ec55061a9f325f7c334d26585c459b5e5d15b3d369f0b71c8559974fcc7f4","observation_id":"730a9329-f27f-4c64-99b2-2c0484bbc587","resolution":{"observed_at":"2026-08-07T13:58:29.665469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:29.486772Z","title":"Understanding and mitigating annotation bias in facial expression recognition,","venue":null,"work_id":"d8a5287f-f198-40b7-97ad-70f03fed1330","year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.270243Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:6e096a73db44412c254b98de2398e72f22b7502a36688ac23c3d4c8c116701d4","observation_id":"430badbc-f5c1-45b4-b60b-ac4519765360","resolution":{"observed_at":"2026-08-07T13:58:29.542141Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:29.310097Z","title":"Causal structure learning of bias for fair affect recognition,","venue":null,"work_id":"09b25a32-0aac-4aa1-8ea3-b958388b6dd5","year":2023},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.355438Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:ee13789cf4b875c7059e26389d71d1ca21b1b4779a37c71f453b6d17a390e9bd","observation_id":"5b3c9249-7b0e-4c07-b93e-5b7e5da16e27","resolution":{"observed_at":"2026-08-07T13:58:29.405511Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:23.433796Z","title":"Affectnet: A database for facial expression, valence, and arousal computing in the wild,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.433796Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:5c243f5bf410bf2164451ac66b94abb04c36607f5f9034348134506e532b3591","observation_id":"82ff3b8f-bf41-4d44-a048-7756bfa6a56f","resolution":{"observed_at":"2026-08-07T13:58:23.433796Z","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":"2026-08-07T13:58:29.155019Z","title":"Rethinking affect analysis: A protocol for ensuring fairness and consis- tency,","venue":null,"work_id":"18009a0f-ccbe-4f58-80a8-9fc88703092b","year":2025},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.542247Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:3d2cd74771ea8685508a17ef8a6c6c94fc2d66565dc44d8d0c1e7be098234a4f","observation_id":"6b00a6f6-b7c6-44c8-ad63-a771c65cd6e2","resolution":{"observed_at":"2026-08-07T13:58:29.231606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:29.048335Z","title":"Metrics for dataset demographic bias: A case study on facial expression recognition,","venue":null,"work_id":"3ba5943e-2cdf-498e-9fed-3cb24d56324c","year":2024},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.653638Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:4bb6896f46135f1b10eb4e26a700884098d11634d2dc68073cf61c653c2e1a8c","observation_id":"49925b2b-c93e-4284-ada7-396fb62aa5c4","resolution":{"observed_at":"2026-08-07T13:58:29.086723Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:28.935869Z","title":"Discovering fair representations in the data domain,","venue":null,"work_id":"29b12d65-4b20-4e6c-92d5-fa54b3e85ac1","year":2019},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.748855Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:8f6fbed469b105a87446000190045c74c1f17c5688cd56ab6792266edf1b619e","observation_id":"746d8bbf-f7ec-4ef6-9fdc-d577513ac952","resolution":{"observed_at":"2026-08-07T13:58:28.985886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:28.851140Z","title":"A study on the distribution of social biases in self-supervised learning visual models,","venue":null,"work_id":"59f3c334-fd0f-4fe7-a62c-34b6ee07eb63","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.855252Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:7454e398e6583886e7dbbc52d52f3a02e031c722ebcc4fde3c30674f636ffbb2","observation_id":"7e30d5fc-3e7e-42da-98ea-a2b01d524f37","resolution":{"observed_at":"2026-08-07T13:58:28.883623Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:28.788608Z","title":"A multidimensional analysis of social biases in vision transformers,","venue":null,"work_id":"22d697fe-6a9f-44bb-abcf-675c6e47ed24","year":2023},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:23.948199Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:4f220cf40c1bc6cb8431b0d994d5d3e5d6f9a6d58bf4d12ea968f83da39ceab5","observation_id":"8d38839a-5620-4ca8-96b2-52df0b1109fa","resolution":{"observed_at":"2026-08-07T13:58:28.823786Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:28.706042Z","title":"Image representations learned with unsu- pervised pre-training contain human-like biases,","venue":null,"work_id":"159b43aa-a1f8-43d7-9b8d-bc881a70546a","year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.019161Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:5f1aa6b8fdb7b1f316ece8ca25fbb949c05d0221f61f873c17574c40245c7d7e","observation_id":"60feb4a1-4d42-4ee3-9317-99ba0991466b","resolution":{"observed_at":"2026-08-07T13:58:28.747245Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:24.103553Z","title":"Fairness with overlapping groups; a probabilistic perspective,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.103553Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:51441ed0d1a0b3905f42af718190d3025be6d172b4ee35d0883e6ce6d7c2fd44","observation_id":"9e00b6e0-fced-44b4-a36c-abbcdd450a01","resolution":{"observed_at":"2026-08-07T13:58:24.103553Z","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":"2026-08-07T13:58:28.604073Z","title":"Facial age affects emotional expression decoding,","venue":null,"work_id":"46a01df8-c575-4c22-857f-f5297de3f271","year":2014},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.145995Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:05314f3f13c559f9079e398487a93b34d1c62c200b950df98dcc77ade1ac9b63","observation_id":"bea27e8f-4b09-4bb5-99ae-21e13be83bda","resolution":{"observed_at":"2026-08-07T13:58:28.664358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:28.495679Z","title":"Do we expect women to look happier than they are? a test of gender-dependent perceptual correction,","venue":null,"work_id":"86869a08-2e58-4d90-810f-955320db3807","year":2018},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.184885Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:34577d4cbb70d2c4c6318ea1b433faf61d719c1447ff9c93bfbdc070f650de72","observation_id":"1c1801db-bc5f-4238-b716-b9dd0ae366ba","resolution":{"observed_at":"2026-08-07T13:58:28.536369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:28.346990Z","title":"Ambiguity in social catego- rization: The role of prejudice and facial affect in race categorization,","venue":null,"work_id":"ad8e84ae-0217-41dc-a4bf-01efe06d9c8a","year":2004},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.209880Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:0b34ec96a793ff75144788dbfcc891c4d51dd77e51783a5b59969891930c51f4","observation_id":"7921890f-ccad-41e0-9d24-faefc76c5317","resolution":{"observed_at":"2026-08-07T13:58:28.428810Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:28.215957Z","title":"Female, white, 27? bias evaluation on data and algorithms for affect recognition in faces,","venue":null,"work_id":"a497aa94-6fde-432e-9e64-0de6fd6fd256","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.266697Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:b48e7d9e20a8ef4311d6b4cf51b1715948f9643da3d54bdf81aa95704fc01427","observation_id":"48e627b7-a034-4a44-a88f-3433b182e558","resolution":{"observed_at":"2026-08-07T13:58:28.272772Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:28.057025Z","title":"Measuring individual differences in implicit cognition: the implicit association test","venue":null,"work_id":"c865b60d-e620-413e-95a5-541704e50aa5","year":1998},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.308922Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:1d2b0c55f41ef556b8292a8be04c49e87ee3db115623b06e0cdabf94d6c0eae2","observation_id":"ac2526f9-e7b9-4d8a-b93a-c0bf9d7de5df","resolution":{"observed_at":"2026-08-07T13:58:28.127299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:27.905338Z","title":"Understanding and using the implicit association test: I. an improved scoring algorithm","venue":null,"work_id":"d55f41d9-b632-42ad-a4e7-15a0a6fc7cfc","year":2003},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.354053Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:91d6f2dfb1952641e755fa2c714721926c24a61fe0d136dd35db08e0f19ac9d7","observation_id":"4e8f0b27-9bc1-4e91-a5a5-7ec0f9fe4ca9","resolution":{"observed_at":"2026-08-07T13:58:27.987553Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:27.766425Z","title":"Why do fearful facial expressions elicit behavioral approach? evidence from a combined approach-avoidance implicit association test","venue":null,"work_id":"c27d1e75-14c0-4a24-8464-5c397a54a800","year":2015},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.398726Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:e6d35aee752c4fede716227b6bc8e63ed541ed379a15245a8d61b258993e60fd","observation_id":"9aecc38c-de81-4d65-ac8d-e52946b88885","resolution":{"observed_at":"2026-08-07T13:58:27.815469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:27.677625Z","title":"Facial make-up elicits positive attitudes at the implicit level: Evidence from the implicit association test,","venue":null,"work_id":"eef9b856-4c86-45e4-bbbf-4f51a55f422f","year":2004},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.443843Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:b5bcce1ffa47911bdfe6c039f1cd9ccbed1e5ff0e968f14413ce45cece1bfe6f","observation_id":"610e36ef-3868-4bcc-a7a1-057e8790f952","resolution":{"observed_at":"2026-08-07T13:58:27.727126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:27.575150Z","title":"Implicit racial attitudes influence perceived emotional intensity on other-race faces,","venue":null,"work_id":"aa971bbc-e704-4f7c-94e6-5d2a7fc66639","year":2014},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.489024Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:0dc3da306fb4ba7f58eff15dd46c1d69530591e69363ce56a305b14088ee34e9","observation_id":"bf397892-51a2-4f99-98d7-87dd345c82d1","resolution":{"observed_at":"2026-08-07T13:58:27.633369Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:27.478960Z","title":"Not always black and white: The effect of race and emotional expression on implicit attitudes,","venue":null,"work_id":"5a2a243f-061d-412b-97fa-f4ac8e9a9c85","year":2018},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.538299Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:61b3f49af4df3f2b456345b3208f07fb28648227ea58eb65434e19df521e0f07","observation_id":"74586b5f-8494-4f44-9b8d-a2cef1ac1faf","resolution":{"observed_at":"2026-08-07T13:58:27.521886Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:27.407059Z","title":null,"venue":null,"work_id":"f5a24fac-b4f3-4576-9a2f-6349c834e706","year":2023},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.580373Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:9ed145023d6fecac8294419ee509b1e131fb52663dddb5443afc5fe2ae7f439e","observation_id":"6edb353b-20d1-45ef-bcdd-9a1f99b762b0","resolution":{"observed_at":"2026-08-07T13:58:27.430907Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:24.623962Z","title":"Semantics derived au- tomatically from language corpora contain human-like biases,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.623962Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:ea967b488cc91399418c1dab0386de8427808ce49352e4f865d4f60af5046a16","observation_id":"00328a2e-4caf-4865-902b-f16db195cfc3","resolution":{"observed_at":"2026-08-07T13:58:24.623962Z","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":"2026-08-07T13:58:27.277181Z","title":"American== white in multimodal language- and-image ai,","venue":null,"work_id":"b4746faf-1c4f-47f6-abce-c10dc50041e0","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.667166Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:4d3a9dc3ada10aa98720e238ffee46f1b43d0ee45277a2a1a142d30ec23adf14","observation_id":"1994b821-f50e-4891-824a-513b3b01ab76","resolution":{"observed_at":"2026-08-07T13:58:27.355144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:27.190223Z","title":"Contrastive language- vision ai models pretrained on web-scraped multimodal data exhibit sexual objectification bias,","venue":null,"work_id":"635c3204-cbca-45e0-ade8-028971a8c159","year":2023},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.710207Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:c551eae60f8501828b8d035672e9c67b00794ef51ae5af6d59e11a5ba3128bd7","observation_id":"84c816d2-8bff-4edf-9df2-59421fb53535","resolution":{"observed_at":"2026-08-07T13:58:27.221260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:24.747415Z","title":"Certifying and removing disparate impact,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.747415Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:b47ef2591c309a74b257d3dc5a965ea6265c20bfb70adde723e364f4e4f6d32b","observation_id":"bd514949-3a28-4021-9c46-8255ee33fd8a","resolution":{"observed_at":"2026-08-07T13:58:24.747415Z","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":"2026-08-07T13:58:27.104079Z","title":"Age progression/regression by condi- tional adversarial autoencoder,","venue":null,"work_id":"d96934ff-d641-41e3-8a81-bb1c14c90d8e","year":2017},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.788068Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:eff6bf8e7dcc52cb19329c419097d6891ba387afed63ab2409a278384fa63368","observation_id":"fbc90c27-d105-4ded-bb13-163df8d01900","resolution":{"observed_at":"2026-08-07T13:58:27.139044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:26.975735Z","title":"Fairface: Face attribute dataset for balanced race, gender, and age for bias measurement and mitigation,","venue":null,"work_id":"288e3916-9725-4493-82da-ced273419999","year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.824675Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:9f481e727ef91ca2102b137bbf8452727f45985c0f2b7147440b0e095d4388c2","observation_id":"86470495-516f-4cd0-b6f9-5ddd48711baa","resolution":{"observed_at":"2026-08-07T13:58:27.029457Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:24.859829Z","title":"Deep residual learning for image recognition,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.859829Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:e2d31a799fb2fad73d80202a5bb1d621574e6f73f83dba864fce5c5d3b4f756a","observation_id":"3804c633-6ceb-4a1d-8b11-97ff4809c983","resolution":{"observed_at":"2026-08-07T13:58:24.859829Z","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":"2026-08-07T13:58:24.916511Z","title":"Swin transformer: Hierarchical vision transformer using shifted windows,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.916511Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:1ce2bef5ff85919239c0e98e987c68c41ecc19775aa1fe5aa45ac896e8ca54c3","observation_id":"6d1477dd-8ae5-47a7-81c4-c9e070164ab0","resolution":{"observed_at":"2026-08-07T13:58:24.916511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.11929","last_updated":"2021-06-03T13:08:56Z","snapshot_observed_at":"2026-08-13T14:19:26.598265Z","submitted_at":"2020-10-22T17:55:59Z","title":"An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.11929","snapshot_observed_at":"2026-08-07T13:58:24.960802Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:24.960802Z"},"links":{"cited_paper":"/paper/2010.11929","citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:34614aeee759716b8270b74ad28507f76c55dd9872ba2e7a86c87c182344df91","observation_id":"13ae9220-b832-42f7-8f77-dd86a0d4d205","resolution":{"observed_at":"2026-08-07T13:58:24.960802Z","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":"2026-08-07T13:58:26.874951Z","title":"Learning multi- dimensional edge feature-based au relation graph for facial action unit recognition,","venue":null,"work_id":"cbbe5030-265a-45d0-a1d0-a5fd5ba3949a","year":2022},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.004082Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:1d477906c2dd8ca7527ece43f3ec1ed6662458c52898ab35721a5821283e7cb7","observation_id":"6f8d5356-4956-459c-ab11-3e86bb20c23e","resolution":{"observed_at":"2026-08-07T13:58:26.918209Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:26.782793Z","title":"Su- pervised contrastive learning with identity-label embeddings for facial action unit recognition,","venue":null,"work_id":"475f3f6d-bae3-4e8d-9953-7a432c22e998","year":2023},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.047135Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:23992aac4cd2fd3eb41564f41651458b0234909e5a84bb6960a3021011fdc579","observation_id":"33098e4d-2e40-44bb-ba5d-916e7a306826","resolution":{"observed_at":"2026-08-07T13:58:26.819257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:26.695742Z","title":"Cohen,Statistical power analysis for the behavioral sciences","venue":null,"work_id":"00c3e078-b339-441c-b5fe-44cee7a160f1","year":2013},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.102558Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:5471590e14b72209ff3cd7de0003c81d7f313a90395173b1b158b4c17222a5a9","observation_id":"7e61c6f9-b5c4-4756-a48c-276e2382a37a","resolution":{"observed_at":"2026-08-07T13:58:26.737646Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:25.144941Z","title":"Racial influence on automated perceptions of emotions,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.144941Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:76175722326edd28f9c428387e1c85b1b7e86b566f5a41bc30d87dd37d998e62","observation_id":"b435e042-c7e1-4b5f-b301-437f0dd1d98e","resolution":{"observed_at":"2026-08-07T13:58:25.144941Z","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":"2026-08-07T13:58:26.617787Z","title":"Biased attention: Do vision trans- formers amplify gender bias more than convolutional neural networks?","venue":null,"work_id":"f2f58757-0e13-4969-a8ab-2fa23c1910f0","year":2023},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.190042Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:3e87bbcc75020ebcd53a3c3a833a469bc56d6ad6352ceef14493949223bdfe85","observation_id":"455c563f-ae23-43f1-9a26-3ade4601cf6c","resolution":{"observed_at":"2026-08-07T13:58:26.647269Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:26.483944Z","title":"Overwriting pretrained bias with fine- tuning data,","venue":null,"work_id":"aa8bbbf5-e4a6-4fdd-8155-9316e3684482","year":2023},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.237711Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:b001f07dea41ec698ea28f4d3f89b8236210982d863989db13cf132bbf451b55","observation_id":"8a269c6a-5e76-4b1f-8dd6-7c885281f9b3","resolution":{"observed_at":"2026-08-07T13:58:26.539160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:25.287208Z","title":"Transformer-based multimodal emotional perception for dynamic facial expression recogni- tion in the wild,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.287208Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:bc91379d7a3fa90627489189ffb582523823f82ae6a39238d88ea4ca25863b04","observation_id":"b7fddfcb-dac9-4efc-80a5-d65706de5aef","resolution":{"observed_at":"2026-08-07T13:58:25.287208Z","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":"2026-08-07T13:58:26.376604Z","title":"The misgendering machines: Trans/hci implications of auto- matic gender recognition,","venue":null,"work_id":"4206ed9d-eb19-4612-87b9-517c97f69530","year":2018},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.332625Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:320003e93b9a0f6a5bf8da18953eb32b25dfb3305cac028eacfb4d656b1020dd","observation_id":"06ecaeac-d8ee-43d8-a94c-d6bbf8909858","resolution":{"observed_at":"2026-08-07T13:58:26.434517Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:26.280813Z","title":"Gender recognition or gender reductionism? the social implications of embedded gender recognition systems,","venue":null,"work_id":"7c991a89-4fae-4165-872a-ac2ff2d42820","year":2018},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.377770Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:4db0015d98a65f12ef6aff60d49cbc80d85c55b0569df164c57f8481546bf44f","observation_id":"74d68b3d-89bd-4bab-bca5-45f7ad6e5675","resolution":{"observed_at":"2026-08-07T13:58:26.330704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:26.185714Z","title":"Gender as a variable in natural-language processing: Ethical considerations","venue":null,"work_id":"b8c54479-1c14-4e32-86b4-c67ca742826a","year":2017},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.466310Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:1bf39190711d5a20c7a03ed39fa337298d93da834278dbaed845ad62ab2d48d9","observation_id":"b7f7a557-4568-473d-945b-37c5f68778e8","resolution":{"observed_at":"2026-08-07T13:58:26.219152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:26.082784Z","title":null,"venue":null,"work_id":"01c21f4f-507b-4214-84e3-5681a2ca672e","year":null},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.527841Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:944d0c3386b09ac4fb668d0afdba07db3b15d33b418b74622ebbef11aadee8c0","observation_id":"be04e5e1-16d7-473d-a9b7-7f22f6d2eb13","resolution":{"observed_at":"2026-08-07T13:58:26.147734Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:25.967608Z","title":null,"venue":null,"work_id":"5faaf897-4946-44d5-ab7c-52e0b6d913f6","year":null},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.586183Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:ee319c134f788f2344ae82b3fad662a2700475d27a8686f0c9b24d2adb21ac1c","observation_id":"786f493c-493b-41f7-8b09-43799effe7c1","resolution":{"observed_at":"2026-08-07T13:58:26.010956Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:25.883713Z","title":null,"venue":null,"work_id":"b79df815-d34a-467b-82e8-0767c38736f8","year":null},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.651162Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:b28d735adb1791902d27b14aaa4b50874324ef533803a29ff866e90c650bd2e7","observation_id":"9de9850a-1f73-49ef-b8d2-a9cc31d5f190","resolution":{"observed_at":"2026-08-07T13:58:25.925525Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-07T13:58:25.795522Z","title":null,"venue":null,"work_id":"59d37b24-4200-4e90-a538-ce5503d55ca4","year":null},"citing_paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-07T13:58:25.713213Z"},"links":{"citing_paper":"/paper/2505.20512"},"observation_digest":"sha256:3575f17d8bf5be91346402d546dc1ff6895c2395a4cb9eba949ec8edddb29211","observation_id":"c3597ab1-381c-467b-8219-189195dd3851","resolution":{"observed_at":"2026-08-07T13:58:25.833134Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.20512","last_updated":"2025-05-26T20:26:07Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T13:50:48.230677Z","submitted_at":"2025-05-26T20:26:07Z","title":"A Feature-level Bias Evaluation Framework for Facial Expression Recognition Models"},"reference_resolution":{"displayed":82,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":21,"verified_exact":0,"verified_fuzzy":60},"total_outbound_references":82},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 82 of 82 outbound references and 0 inbound Pith citation observations for arXiv:2505.20512."}