{"as_of":"2026-08-15T06:58:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:53c71d0c56ca05926f44065dd1fa02407452d6ea99c47ecd208984d6098c1edf","coverage":[{"denominator":67,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":67,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T17:01:13.946646Z","state":"measured"},{"denominator":67,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":67,"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/2411.13024/citation-record","integrity":"/paper/2411.13024/integrity","json":"/paper/2411.13024/citation-record.json","paper":"/paper/2411.13024"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:01:14.784403Z","title":"Deep facial expression recognition: A survey,","venue":null,"work_id":"23c8cbcd-2ccf-4069-860c-13b386bc3cb3","year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.677861Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:a12a8d4f0b816156b21479159563679f718741487db65cb9f8feaf961afa166b","observation_id":"7609441c-8512-4185-8364-4fe8e97a8a87","resolution":{"observed_at":"2026-08-12T17:01:14.788610Z","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":"2026-08-12T17:01:14.771846Z","title":"Multi-modal recurrent attention networks for facial expression recognition,","venue":null,"work_id":"6cf46e64-e909-4f9b-81d6-59b49c434af6","year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.682902Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:2001d0eff6419c978736926cb3e3aa8aab9ad26e16867e07ada624afb3166077","observation_id":"ad58199c-3460-491a-b4d7-2405a581ccf1","resolution":{"observed_at":"2026-08-12T17:01:14.776124Z","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":"2026-08-12T17:01:14.759505Z","title":"Facial expression recog- nition in videos using dynamic kernels,","venue":null,"work_id":"f48e84c8-2e04-4650-b9bc-c93ebc0dd53b","year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.687363Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:338ce3700ae2135b1bdf532c8f8a2079adf4abd65610c579a374d7a52b569b52","observation_id":"3e5bdb14-ce61-40d8-a1ef-48338c508eab","resolution":{"observed_at":"2026-08-12T17:01:14.763821Z","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":"2026-08-12T17:01:14.746175Z","title":"Impact of deep learning approaches on facial expression recognition in healthcare industries,","venue":null,"work_id":"c0b8865e-922d-4a6d-bea6-6b028525a254","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.691346Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:4059def3dbce61cffc2932050edeff87497a17d4c70cd1744e829a899c370a2b","observation_id":"6cb0d88a-a865-4ae4-8430-77078bcb95d2","resolution":{"observed_at":"2026-08-12T17:01:14.751055Z","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":"2026-08-12T17:01:14.727772Z","title":"An architecture for emotional facial expressions as social signals,","venue":null,"work_id":"0e2f7313-d2bc-43d2-a115-052332d50225","year":2019},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.696394Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:bbec451a2782ecdc4f9233f512e1183138a19df6624836a020ebe400fdc1d9b9","observation_id":"44a6a980-d05f-419f-bf57-b86da20cdfd5","resolution":{"observed_at":"2026-08-12T17:01:14.732539Z","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":"2026-08-12T17:01:13.700792Z","title":"The extended cohn-kanade dataset (ck+): A complete dataset for action unit and emotion-specified expression,","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.700792Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:53870686c9046493d6185cf080e71023da15f547d47e3d2fbbc7e60efb19baba","observation_id":"b879810d-a703-41dd-be09-31d4c21822d8","resolution":{"observed_at":"2026-08-12T17:01:13.700792Z","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":"2026-08-12T17:01:14.704041Z","title":"Coding facial expressions with gabor wavelets,","venue":null,"work_id":"65de37e9-3852-4fea-86e8-ced4955cc89b","year":1998},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.704890Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:97edf660b78dca1dc35d2a0ef43bbab852d7e1ebf57d8623c57e7d7496cfbd2a","observation_id":"7e8b3bd2-345b-48f4-8879-5768b4f96cd7","resolution":{"observed_at":"2026-08-12T17:01:14.708948Z","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":"2026-08-12T17:01:14.687910Z","title":"Training deep networks for facial expression recognition with crowd-sourced label distribution,","venue":null,"work_id":"5c3f2d24-9ed3-4e2b-9a9b-475755dede27","year":2016},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.708728Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:4b07bda7265877c4bc7fc8812c57ea97f26aad982e23b0a1eeb3edc3668ad929","observation_id":"85f6b4a7-bdaa-4900-92dd-c88869919eef","resolution":{"observed_at":"2026-08-12T17:01:14.693315Z","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":"2026-08-12T17:01:13.712518Z","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":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.712518Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:ef1d0dc7c0316e9799236747fadcf86d42a0e9c463003bb1e8a899d318183179","observation_id":"79e86619-a4a2-4a62-914a-bbbb432e4ea5","resolution":{"observed_at":"2026-08-12T17:01:13.712518Z","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":"2026-08-12T17:01:14.665801Z","title":"Reliable crowdsourcing and deep locality- preserving learning for expression recognition in the wild,","venue":null,"work_id":"9c3cdda6-01a8-46a1-94d8-4459c3a6ecdb","year":2017},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.716277Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:b5719dd2efa6b5380a5c07a997873d6f7eb00833a382f7721998b24cc7efc4d6","observation_id":"1b6b653c-5fd7-4941-bfb9-f8f268ad8397","resolution":{"observed_at":"2026-08-12T17:01:14.670358Z","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":"2026-08-12T17:01:13.720165Z","title":"La-net: Landmark-aware learning for reliable facial expression recognition under label noise,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.720165Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:617beab60f487e9ba9941a2ffc9e687204e10d095f74b4ed6b1433d2f7b7d520","observation_id":"b8544656-9e2d-4a1c-b5be-98754f937719","resolution":{"observed_at":"2026-08-12T17:01:13.720165Z","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":"2026-08-12T17:01:13.724208Z","title":"Relative uncertainty learning for fa- cial expression recognition,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.724208Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:65f129be31d1dcbd33f2b41c742a3e33a6afbc8ecf5e4dfa2c8b71669385dda4","observation_id":"6b287021-b03b-4a31-a844-f2b3c8c7f3d4","resolution":{"observed_at":"2026-08-12T17:01:13.724208Z","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":"2026-08-12T17:01:14.638045Z","title":"Learning from more: Combating uncertainty cross-multidomain for facial expression recog- nition,","venue":null,"work_id":"80110cce-7ce1-4733-bf97-6a8ee821ff27","year":2023},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.728409Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:8edffdaa038ca91a90d82ee02afdb0d0c2811906334a3918f572fa382230acea","observation_id":"80675485-87b4-4ea0-a03c-b229b9c710d8","resolution":{"observed_at":"2026-08-12T17:01:14.642228Z","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":"2026-08-12T17:01:14.622070Z","title":"Discovering cultural differences (and similar- ities) in facial expressions of emotion,","venue":null,"work_id":"b5c4687a-6cd2-4bf8-937c-7e3ab42f7495","year":2017},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.732326Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:2c55203615415a7d5edc19fbb0791a833e75e13db2d7ab31b1f4cedebd63f817","observation_id":"d93d537f-4de8-4fdc-b755-5e7f5679a265","resolution":{"observed_at":"2026-08-12T17:01:14.628459Z","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":"2026-08-12T17:01:14.609272Z","title":"Cultural confusions show that facial expressions are not universal,","venue":null,"work_id":"b493acf9-1646-4dc4-b5aa-3cbbb7b3e6e6","year":2009},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.736387Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:098eaf3dea54cd26f122493d4393338cccff2cee01bce4f064ef33694a1c0d50","observation_id":"7a820e01-39e5-40d5-9ba9-1e006a0defec","resolution":{"observed_at":"2026-08-12T17:01:14.613404Z","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":"2026-08-12T17:01:14.596564Z","title":"Adaptive multilayer perceptual attention network for facial expression recognition,","venue":null,"work_id":"461f0604-c95b-40b9-a5c9-85d9685acc8a","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.740291Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:1930a5e9bfe81537d344f19f7779c7e540c7742a4548dc8b784ebc55008338d1","observation_id":"dee412e9-fed8-4b1c-877e-f5e9b03d5949","resolution":{"observed_at":"2026-08-12T17:01:14.600792Z","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":"2026-08-12T17:01:13.744403Z","title":"Dynamic facial expression recognition under partial occlusion with optical flow reconstruction,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.744403Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:af76a7c1049d40fc4e022422dc74733b1d1aa302b96488f16d55ab3a873e745b","observation_id":"a6b0ea41-4fe6-478d-871d-50759c1c559c","resolution":{"observed_at":"2026-08-12T17:01:13.744403Z","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":"2026-08-12T17:01:14.577875Z","title":"Compound facial expressions of emotion,","venue":null,"work_id":"5dcc3dd7-5d98-43d8-8e85-6cb694324035","year":2014},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.748168Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:a3a2683842ca59879cb71001f92977349dca78043616a484fa97e46dad4e5b42","observation_id":"1da38189-23bb-40a7-8ca7-42d3ebec9b01","resolution":{"observed_at":"2026-08-12T17:01:14.581959Z","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":"2026-08-12T17:01:13.752447Z","title":"Suppressing uncer- tainties for large-scale facial expression recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.752447Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:045fa6085e99af7e2dae00d88900943bf6b82520f2f7bcaba89b7dfdbdcedc59","observation_id":"1c6117fb-2a18-4463-86bb-2684a2852a8b","resolution":{"observed_at":"2026-08-12T17:01:13.752447Z","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":"2026-08-12T17:01:14.559774Z","title":"Facial emotion recognition with noisy multi-task annotations,","venue":null,"work_id":"dd835acd-2547-44c2-a317-558a3db83b58","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.756322Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:2a0b609788e2e39c785de31e12e7fba01a0c4df5cdfaca0d170a3ac275731c72","observation_id":"c49c03d5-7cb6-485b-b88e-a0bdbf2c40b8","resolution":{"observed_at":"2026-08-12T17:01:14.563606Z","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":"2026-08-12T17:01:14.548116Z","title":"Dive into ambi- guity: Latent distribution mining and pairwise uncertainty estimation for facial expression recognition,","venue":null,"work_id":"11bac858-521d-4292-81df-b88703fd6de0","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.760244Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:3ac1952e614e9d5b3d266db678192bcbdcf6954d5f5c9f4ff46e3ea4a6026a88","observation_id":"8030b3e4-3cac-4c09-bd00-980d619021d7","resolution":{"observed_at":"2026-08-12T17:01:14.552024Z","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":"2026-08-12T17:01:14.537270Z","title":"Towards facial expression recognition in the wild via noise-tolerant network,","venue":null,"work_id":"682aac7d-5bde-47ac-9cc8-44469483441c","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.764193Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:892782204bd738a3739c92de92f09c5f63ae231f75849879837a625d97ddef5c","observation_id":"6e781762-cd0c-4926-b79b-b0b984909e45","resolution":{"observed_at":"2026-08-12T17:01:14.541236Z","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":"2026-08-12T17:01:14.525841Z","title":"Label distribution learning on auxiliary label space graphs for facial expression recognition,","venue":null,"work_id":"5c6e30cd-132a-46f1-9400-ec4ce86bbea6","year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.768146Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:595e5bac8eaa877e94893b1fc137cc3baf1eb4a56cb5ca621ed97bb52f185d62","observation_id":"76a6936e-351d-4680-bcf2-984f14540683","resolution":{"observed_at":"2026-08-12T17:01:14.529948Z","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":"2026-08-12T17:01:14.514128Z","title":"Bias-based soft label learn- ing for facial expression recognition,","venue":null,"work_id":"d7bdedab-e1da-4ef3-ab6c-84a346d06101","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.771811Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:52764f0f6416f9fc4ab85e2226aa80871a61fa4cadc2fd683d54a64fef1bc879","observation_id":"0d1ca62c-864e-4963-a94c-d0b7b1a8c382","resolution":{"observed_at":"2026-08-12T17:01:14.518273Z","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":"2026-08-12T17:01:14.501879Z","title":"A unified deep model for joint facial expression recognition, face synthesis, and face alignment,","venue":null,"work_id":"92c889ce-2381-47f8-aefe-2e50dce31000","year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.775896Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:4cb45f019ec5f063c621a41de5ff1c4260c21a8245d586fa9e803e3bf1e62580","observation_id":"2dbeb0c0-d6f2-48f0-a6be-322e25a38d10","resolution":{"observed_at":"2026-08-12T17:01:14.506197Z","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":"2026-08-12T17:01:14.489357Z","title":"Automatic analysis of facial actions: A survey,","venue":null,"work_id":"902980ea-52ad-4fe5-a1fa-574079b78ed6","year":2017},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.779878Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:29aa70a0007dab2fa1e588f72265050c0607ae5c96793332ea422aa66fbd4a0e","observation_id":"82ae19d1-5002-49b0-bfa8-f4f12287094c","resolution":{"observed_at":"2026-08-12T17:01:14.493822Z","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":"2026-08-12T17:01:14.476341Z","title":"Exploring domain knowledge for facial expression-assisted action unit activation recognition,","venue":null,"work_id":"9238b3c2-d580-4d82-8de7-954c0c739a2d","year":2018},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.784083Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:7fac15c4e45db6d537ab2ffb7ae249d53830a68ab45c675be331875259db0e6c","observation_id":"31161308-28c5-41b3-ba07-52c9b42988ad","resolution":{"observed_at":"2026-08-12T17:01:14.480639Z","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":"2026-08-12T17:01:14.463538Z","title":"Fine-grained facial expression recognition in the wild,","venue":null,"work_id":"331232d1-ff61-4fad-b4bb-dc70c398c5c9","year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.788396Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:043db0783f6f65ad427cca96dd23d38e65873d28cccba5382dfbac996ab47835","observation_id":"b2edd35b-3b2e-494d-b1a7-9d69bc547fe6","resolution":{"observed_at":"2026-08-12T17:01:14.467830Z","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":"2026-08-12T17:01:14.450425Z","title":"Prior aided streaming network for multi-task affective analysis,","venue":null,"work_id":"4555f3c1-88e7-4cd7-90f9-4fd7fd6b28f4","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.792586Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:e81a74bdeb3938f3989e3c88dc3a13646a2b7a3e3f13de77972f4c118505adff","observation_id":"b0ede3a2-3dae-4281-bad9-825ed0062a2f","resolution":{"observed_at":"2026-08-12T17:01:14.454606Z","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":"2026-08-12T17:01:14.438133Z","title":"Using positive matching contrastive loss with facial action units to mitigate bias in facial expression recognition,","venue":null,"work_id":"a57450fe-6634-4241-a8d2-4539d2628fb7","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.796771Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:30dcbefbe88f43bb0cc92c438cfc13f270c512840c7bdace756b3df0b4cf0c1e","observation_id":"2cf754b7-10fe-49f2-b9f5-a203be898fa1","resolution":{"observed_at":"2026-08-12T17:01:14.442534Z","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":"2026-08-12T17:01:14.425279Z","title":"Micro-expression recognition based on facial graph representation learning and facial action unit fusion,","venue":null,"work_id":"bbfcca84-8b45-4606-acac-457ca34f179b","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.800935Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:78f3f72d85f3d422ab149151fd15983c7108024adeff6452f10a4de69fc958fd","observation_id":"fff028c7-d75c-4408-ae06-27b527824f82","resolution":{"observed_at":"2026-08-12T17:01:14.430016Z","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":"2026-08-12T17:01:14.410347Z","title":"Au-expression knowledge constrained representation learning for facial expression recognition,","venue":null,"work_id":"2f92ed46-5755-428d-8544-fecf08214cf2","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.804855Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:f338ce4977e6b4154324dff910f333c1041972bd7ec9cd32e6cce0115486bf3f","observation_id":"49be68c0-52b1-486c-8e1b-af147053c906","resolution":{"observed_at":"2026-08-12T17:01:14.415583Z","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":"2026-08-12T17:01:14.397060Z","title":"Facial expression recognition via deep action units graph network based on psychological mechanism,","venue":null,"work_id":"8613dc7b-9037-418e-91f7-c8adacc36c64","year":2019},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.809259Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:59477126994885cfb661b40f85acb4a58c25a7d4c9d0c01427d076a03ad6bd98","observation_id":"04bd3ea6-9d1a-4f7d-a92d-597710d87f36","resolution":{"observed_at":"2026-08-12T17:01:14.401458Z","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":"2026-08-12T17:01:13.813287Z","title":"Knowledge augmented deep neural networks for joint facial expression and action unit recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.813287Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:0f59957d8b28c4886cd6b6f55880ee5fc2de8310d2fc782a37269cec6fd565d1","observation_id":"0d7de0b7-2a7a-416e-b590-42de2b6c17fc","resolution":{"observed_at":"2026-08-12T17:01:13.813287Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.13148","last_updated":"2021-03-23T04:00:45Z","snapshot_observed_at":"2026-08-13T20:40:03.753714Z","submitted_at":"2020-12-24T07:31:15Z","title":"Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation","version":2},"cited_work":{"arxiv_id":"2012.13148","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.13148","snapshot_observed_at":"2026-08-12T17:01:14.022411Z","title":"Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation","venue":"cs.CV","work_id":"81108dc1-5778-4121-93b8-55d5afa95f85","year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.817156Z"},"links":{"cited_paper":"/paper/2012.13148","citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:fe881e764ecc3b73f2bfbf136bd20328136f2de5f813c0e62e66988e14a68528","observation_id":"38d4b3f5-2b94-4fdc-b3e0-ca1095e15af9","resolution":{"observed_at":"2026-08-12T17:01:14.027327Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-12T17:01:14.377756Z","title":"Weakly supervised facial action unit recognition through adversarial training,","venue":null,"work_id":"afc53c13-b470-492f-b2e7-8a58c99450b1","year":2018},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.821902Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:3b1a94ca35f46a1bdc5178c6f7760ab5b2d42e2b295532da7a1fcf24c88a746d","observation_id":"0514367e-e3c4-44a9-b06a-78f88dbfed17","resolution":{"observed_at":"2026-08-12T17:01:14.382129Z","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":"2026-08-12T17:01:14.365092Z","title":"Facial expression recognition with visual transformers and attentional selective fusion,","venue":null,"work_id":"a7b17e7a-72fb-4122-b9a8-aebdc8e98583","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.825922Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:93e9390c0955a5d63deda1643e614ad271c8ac1b97be74ab744860bb1d729e21","observation_id":"c13381f7-1024-4e0f-b1b5-14971540b471","resolution":{"observed_at":"2026-08-12T17:01:14.369882Z","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":"2026-08-12T17:01:13.829873Z","title":"Region attention networks for pose and occlusion robust facial expression recognition,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.829873Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:7ac01ac24d2debdd0dda683391f65070fa46ec52022714ddea6d107bcbddff3f","observation_id":"77b7115c-36ef-4f1e-9065-8ef89190a0a5","resolution":{"observed_at":"2026-08-12T17:01:13.829873Z","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":"2026-08-12T17:01:14.346599Z","title":"Joint expression synthesis and repre- sentation learning for facial expression recognition,","venue":null,"work_id":"f8c23ee5-b6a9-42b4-a401-d0ac9a38bc48","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.834175Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:a3b2c89b3f628a4ad234a06129557ed60cb46b319dcf1fe4457411bc5a29ac77","observation_id":"87015512-273d-4b58-9616-c23ab1c59966","resolution":{"observed_at":"2026-08-12T17:01:14.350664Z","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":"2026-08-12T17:01:14.334258Z","title":"D 2 s: Dynamic distribution supervision for multi-label facial expression recognition,","venue":null,"work_id":"c98f997e-450d-4d11-b0f5-059a20d13366","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.838255Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:76dcb51d507560fe5950bc9f0e9ad2d2c3e8102982134a48a2c45bd3d4525dbb","observation_id":"72441293-e887-463a-ae70-1e6934fa3c20","resolution":{"observed_at":"2026-08-12T17:01:14.338895Z","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":"2026-08-12T17:01:14.322267Z","title":"Facial action coding system,","venue":null,"work_id":"8d299312-1475-494f-96b0-7249d2fe4c8d","year":1978},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.842258Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:0189ec0a831fc31138a1f1aa4b3eb69f8d19a204d261f122e2724175891503e2","observation_id":"25f3eb6f-d418-4d96-b4d1-2a9725c21299","resolution":{"observed_at":"2026-08-12T17:01:14.326280Z","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":"2026-08-12T17:01:13.846127Z","title":"Relational knowledge distilla- tion,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.846127Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:b770d92e83049bf823e8f47bc600d12056b66a8b44f3afeb67580bb9d28933ed","observation_id":"043c4a4b-be92-4d3d-b3a4-be2f658f4bac","resolution":{"observed_at":"2026-08-12T17:01:13.846127Z","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":"2026-08-12T17:01:13.850051Z","title":"Deep mutual learning,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.850051Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:5e67fc229ec9857e235b337ee7939c471288e5fc699aaa698fcd39e3280f36b3","observation_id":"6ff9bc3f-4c29-456a-a54e-2e40c43f3a5b","resolution":{"observed_at":"2026-08-12T17:01:13.850051Z","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":"2026-08-12T17:01:14.294561Z","title":"Collaborative learning for deep neural networks,","venue":null,"work_id":"bf0ee2cf-9e8d-49e6-8d0a-6660d65b5d74","year":2018},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.853925Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:e6fe838716b791b33c52ea6c07a1b8d04926a147ddf696bf617b8d0bcbbde6e4","observation_id":"5f613994-a1d9-450c-8622-fc78c5b37fdb","resolution":{"observed_at":"2026-08-12T17:01:14.298811Z","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":{"arxiv_id":"1705.05512","last_updated":"2017-05-16T03:04:55Z","snapshot_observed_at":"2026-08-14T21:00:30.452033Z","submitted_at":"2017-05-16T03:04:55Z","title":"Cooperative Learning with Visual Attributes","version":1},"cited_work":{"arxiv_id":"1705.05512","doi":null,"metadata_source":"pith","pith_arxiv_id":"1705.05512","snapshot_observed_at":"2026-08-12T17:01:14.004373Z","title":"Cooperative Learning with Visual Attributes","venue":"cs.CV","work_id":"9e2221cb-ae7c-4647-bfc0-03bbd2a98698","year":2017},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.858127Z"},"links":{"cited_paper":"/paper/1705.05512","citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:5769065a9c33cddb6168230ca460032d854db3e99dbb9d3b5184dfe3af7d664c","observation_id":"5af8a343-3b9e-44ce-9ae8-a69659b195ae","resolution":{"observed_at":"2026-08-12T17:01:14.009015Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2026-08-12T17:01:14.282996Z","title":"Learning deep global multi-scale and local attention features for facial expression recognition in the wild,","venue":null,"work_id":"23e4261d-ca12-4a41-a5a5-c0c5d52338d4","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.862305Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:a78caf1f391cc86d261501e3a1dfdab2d238daaa4df5f8de9ad7e74f124444d8","observation_id":"bac93307-6018-4cfb-8623-443cec72dce7","resolution":{"observed_at":"2026-08-12T17:01:14.287021Z","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":"2026-08-12T17:01:14.271181Z","title":"Orientations for the successful categorization of facial expressions and their link with facial features,","venue":null,"work_id":"341fad91-287a-4e64-af1d-51b3923d6dab","year":2017},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.866058Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:4a0f0d685b19e58ec932e91d1f0872f78fa6bbbc5a81622141f21e203230ad0d","observation_id":"ce8fe89d-fcc1-494b-94fd-43ac01f776a4","resolution":{"observed_at":"2026-08-12T17:01:14.275248Z","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":"2026-08-12T17:01:14.259653Z","title":"Transfer: Learning relation-aware facial expression representations with transformers,","venue":null,"work_id":"65de0c46-61cd-483d-a2f5-f2ad77411a95","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.869879Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:37954ad210b478db790881a67d5116c0ec3ba93aaa5414a05428591fe1747668","observation_id":"d43174a4-96e2-433c-84f2-35febfbc472c","resolution":{"observed_at":"2026-08-12T17:01:14.263764Z","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":"2026-08-12T17:01:14.246518Z","title":"Adaptive deep disturbance-disentangled learning for facial expression recogni- tion,","venue":null,"work_id":"5c7fbecd-4261-4b36-a032-be76f9df67b5","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.873602Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:6980ad87c4e3663131a22b543e17acda0ad70b2b480e9d3fd66d2d02a62bed4b","observation_id":"0f874226-83d6-4829-8ef9-c762ced9624b","resolution":{"observed_at":"2026-08-12T17:01:14.251882Z","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":"2026-08-12T17:01:13.877352Z","title":"What uncertainties do we need in bayesian deep learning for computer vision?","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.877352Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:8e767a131725a80401d94dfe55f20d8f7eb76b1c380ff99dbb02b2be73abed8e","observation_id":"c9ab347a-9073-4d0b-8398-58730e6942de","resolution":{"observed_at":"2026-08-12T17:01:13.877352Z","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":"2026-08-12T17:01:14.227007Z","title":"Collecting large, richly annotated facial-expression databases from movies,","venue":null,"work_id":"4318a37e-f254-4a49-b79a-a844e0865670","year":2012},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.881214Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:d34f0e940daad4890e29c7d2ff4e9572280dc74477ec88be2e561fdd8b3949bb","observation_id":"ec291aa9-8ec4-4a3c-9e68-9393d2a2bc44","resolution":{"observed_at":"2026-08-12T17:01:14.231319Z","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":"2026-08-12T17:01:13.885044Z","title":"Vggface2: A dataset for recognising faces across pose and age,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.885044Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:9f6f0b8a0dafa365b31e9d09f992c845babfd091858e972bd94a8fc5c1e08b3e","observation_id":"6e2c1089-c440-495b-a68f-9a09ed40319c","resolution":{"observed_at":"2026-08-12T17:01:13.885044Z","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":"2026-08-12T17:01:13.889233Z","title":"Retinaface: Single-shot multi-level face localisation in the wild,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.889233Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:38c2483c6388f6cfa010adf0a204016f73b41fadae5987f486a291c3c0878501","observation_id":"2914aab9-9bb3-42be-a951-13641050a425","resolution":{"observed_at":"2026-08-12T17:01:13.889233Z","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":"2026-08-12T17:01:14.200022Z","title":"Mitigating label-noise for facial expression recognition in the wild,","venue":null,"work_id":"8427cd55-b043-46c0-89f8-89b566b84044","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.893037Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:973253c557a1027fff5051ed59012806bf5f3cdb3e64fbe63340f08cff0189c4","observation_id":"426ee2f8-efc1-4c29-ab13-a0395288f7d3","resolution":{"observed_at":"2026-08-12T17:01:14.203940Z","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":"2026-08-12T17:01:14.188226Z","title":"Co-attentive multi-task convolutional neural network for facial expression recognition,","venue":null,"work_id":"3e018aae-9b6b-419f-893a-db176c86194a","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.897228Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:211baa1f1e96e8308be4eddff3d8e6141f16790cb9656c752bba34cfbe75c6fa","observation_id":"6c9cebad-2d10-4361-baa6-ce36153d22d3","resolution":{"observed_at":"2026-08-12T17:01:14.192330Z","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":"2026-08-12T17:01:14.176565Z","title":"Triplet loss with multistage outlier suppression and class-pair margins for facial expres- sion recognition,","venue":null,"work_id":"4eb266ae-3481-48d4-b2d7-f7d605dc5702","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.901583Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:a028b2691f12f0bcbf1478d75e020b8de4c6405cd024d4c6a520165ee070792f","observation_id":"0d43ed4c-b94f-4387-9cb7-64c53bcfce93","resolution":{"observed_at":"2026-08-12T17:01:14.180588Z","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":"2026-08-12T17:01:14.164862Z","title":"Convolution by multiplication: Accelerated two-stream fourier domain convolutional neural network for facial expression recognition,","venue":null,"work_id":"3f9037c5-2a4b-4691-a5b6-3f53467ab858","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.905470Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:660111303c8c6424a6a10317e446a32fbee134b1ecb41664913183af2071e265","observation_id":"efda3c86-b7da-4caf-b005-510bdc342fd4","resolution":{"observed_at":"2026-08-12T17:01:14.168830Z","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":"2026-08-12T17:01:14.152674Z","title":"Dual-channel feature disentanglement for identity-invariant facial expression recognition,","venue":null,"work_id":"9ecc422c-ad43-4a28-ae58-9211cac99f2a","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.909361Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:6c44a094e1b2dc8f4bb44121d9ed84e4a236f9b582919be2fd6d03064dca6324","observation_id":"c54b6ea1-7f03-4515-8375-3de2372c63f1","resolution":{"observed_at":"2026-08-12T17:01:14.156985Z","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":"2026-08-12T17:01:14.136818Z","title":"Self-paced label distribution learning for in-the-wild facial expression recognition,","venue":null,"work_id":"8d7b831d-8c38-44a3-81a7-2bfad71e742c","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.913474Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:e81cb5f9878f2c17d9af0f4d158ff342de8cb1c0ce1ef56a6b54e380351a4a86","observation_id":"44a86dfc-b493-49c7-9c60-5c647847787b","resolution":{"observed_at":"2026-08-12T17:01:14.141441Z","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":"2026-08-12T17:01:14.123124Z","title":"Weakly-supervised facial expression recognition in the wild with noisy data,","venue":null,"work_id":"e5657fb1-c5c5-4b9a-b557-149ee3d276b8","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.917638Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:28b0b4d33b13bc4f8ce06dc62a2f43df1361101c36295909324110c0f4d49cb7","observation_id":"41534840-6ee4-404b-9310-b2cd20e27a12","resolution":{"observed_at":"2026-08-12T17:01:14.127484Z","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":"2026-08-12T17:01:14.109593Z","title":"Proba- bilistic attribute tree structured convolutional neural networks for facial expression recognition in the wild,","venue":null,"work_id":"2d0eb6dc-f9ae-47de-8dbc-95280022fd23","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.922039Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:09de77f16bb9625ab8c4972e5f50ca7cda3146ba90600dee6fca1d835400608c","observation_id":"5615bfd9-d92b-4d5e-8f4d-cfc4d29dce9f","resolution":{"observed_at":"2026-08-12T17:01:14.114124Z","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":"2026-08-12T17:01:14.094570Z","title":"Learn from all: Erasing attention consistency for noisy label facial expression recognition,","venue":null,"work_id":"43705355-184c-487e-9170-a9a858a613e4","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.926188Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:6c5435dc721084968bf5cad1047e2cc06bd26a8f1b254502a3d4953a6ae28883","observation_id":"d8e2f146-1adc-4855-b562-953a43235500","resolution":{"observed_at":"2026-08-12T17:01:14.099202Z","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":"2026-08-12T17:01:14.080836Z","title":"Face2exp: Com- bating data biases for facial expression recognition,","venue":null,"work_id":"588847a9-ca3d-4225-812c-9c1cbc6b0df8","year":2022},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.930424Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:f280591021871ebbcb541c698bfe9cea1e75d0f681b96963856d8a0f1b079210","observation_id":"2151ad87-0910-44d2-bfb7-89d8fd5e10a7","resolution":{"observed_at":"2026-08-12T17:01:14.085343Z","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":"2026-08-12T17:01:14.065702Z","title":"Region attention enhanced unsu- pervised cross-domain facial emotion recognition,","venue":null,"work_id":"fe6857c9-f9ec-491d-91db-5b2cc7a4ea7a","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.934687Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:3e1f90fbee1a59efa3bab74fd273bbde7552ff780248b1686e525fad875f2daf","observation_id":"036e8a44-973d-4ff5-8fab-c644cf01cf49","resolution":{"observed_at":"2026-08-12T17:01:14.071287Z","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":"2026-08-12T17:01:14.051309Z","title":"Discriminant distribution-agnostic loss for facial expression recognition in the wild,","venue":null,"work_id":"8cffd5f0-b33c-4312-9dee-5c6d557c1446","year":2020},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.938599Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:beb6cbc9a9d38dffdce610319628cebdb7d833ef279e687230271b9a878179aa","observation_id":"f6ae4c75-4c68-4b06-94b5-78abd447c891","resolution":{"observed_at":"2026-08-12T17:01:14.055756Z","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":"2026-08-12T17:01:14.037220Z","title":"Boosting facial expression recognition by a semi-supervised progressive teacher,","venue":null,"work_id":"12e9eab2-35b5-4a85-b131-9da6e1e1d805","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.942830Z"},"links":{"citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:b3563faa179a39cbbf9ce2fce9c8eec54272d0b7f5d55661b8f8abe2b9560374","observation_id":"b3465b20-a007-42ec-9e23-90c048132a1a","resolution":{"observed_at":"2026-08-12T17:01:14.041839Z","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":{"arxiv_id":"2103.16854","last_updated":"2022-02-22T01:51:36Z","snapshot_observed_at":"2026-08-13T19:48:33.754907Z","submitted_at":"2021-03-31T07:07:56Z","title":"Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion","version":3},"cited_work":{"arxiv_id":"2103.16854","doi":null,"metadata_source":"pith","pith_arxiv_id":"2103.16854","snapshot_observed_at":"2026-08-12T17:01:13.982783Z","title":"Facial Expression Recognition with Visual Transformers and Attentional Selective Fusion","venue":"cs.CV","work_id":"32ece00f-2a00-4f83-8597-94347888b4c4","year":2021},"citing_paper":{"arxiv_id":"2411.13024","last_updated":"2024-11-20T04:13:05Z","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-12T17:01:13.946646Z"},"links":{"cited_paper":"/paper/2103.16854","citing_paper":"/paper/2411.13024"},"observation_digest":"sha256:498f362066b52cd42797931746df438a790db81490a100915f71b2befcf587f1","observation_id":"c14f87bd-4a25-4bdc-88a0-81621b104808","resolution":{"observed_at":"2026-08-12T17:01:13.990224Z","resolver_source":"local_arxiv","status":"verified_exact"},"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":"2411.13024","last_updated":"2024-11-20T04:13:05Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-12T16:53:00.264954Z","submitted_at":"2024-11-20T04:13:05Z","title":"Prior-based Objective Inference Mining Potential Uncertainty for Facial Expression Recognition"},"reference_resolution":{"displayed":67,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":3,"verified_fuzzy":51},"total_outbound_references":67},"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 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2411.13024."}