{"as_of":"2026-08-15T07:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0c659571d08fe43b1213bcffef1af6e783fd7afb14d4bb75468167531768338c","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T12:27:17.917965Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"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/2507.21778/citation-record","integrity":"/paper/2507.21778/integrity","json":"/paper/2507.21778/citation-record.json","paper":"/paper/2507.21778"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T12:27:17.847290Z","title":"NeurIPS (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.847290Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:886e335446cfebe5e8334553203eca3539e5d6f3776d7d577164ea3f2af9505d","observation_id":"b00879f7-792c-4c4f-9d4d-1ee0f5cbe4ba","resolution":{"observed_at":"2026-08-06T12:27:17.847290Z","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":"2026-08-06T12:27:18.180181Z","title":"NeurIPS (2020)","venue":null,"work_id":"55597e92-eb29-4535-878f-01b59fdb4f92","year":2020},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.850842Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:c1c67a9281a31298742057c44f0aeea787f834fb16c553485f642dbff0f53ac8","observation_id":"a8d4f882-b40c-4f17-8be5-848fd5dad9e6","resolution":{"observed_at":"2026-08-06T12:27:18.183363Z","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":"2026-08-06T12:27:18.173105Z","title":"In: IEEE TAFFC (2018)","venue":null,"work_id":"bd1b9b0d-3062-470c-9c62-582225444724","year":2018},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.853540Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:140e8757cd3dd732c346b55f6b025bbe009081a8e1b26092b5d0d0051c99fa30","observation_id":"b69acf3b-3a05-4185-86a2-aa667b5fff37","resolution":{"observed_at":"2026-08-06T12:27:18.175677Z","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":"2026-08-06T12:27:18.165615Z","title":null,"venue":null,"work_id":"b564a4c9-6cc5-4fc2-8fbe-73eba9722dc7","year":2024},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.856228Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:7f92cf77c8c56a929de7104e24b2891da47d5e22ce97d9d142393e6291e3b5d3","observation_id":"b0fc8f55-4892-49d7-a94f-3c594e64e9ea","resolution":{"observed_at":"2026-08-06T12:27:18.168650Z","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":"2026-08-06T12:27:18.158132Z","title":"Consulting Psychologists Press (1978)","venue":null,"work_id":"72e3849a-78bf-4681-b8eb-f353f8c7a97a","year":1978},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.859046Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:e494bfdf91be55f4cf5a20d53d752a42e2b7c3f370b0511f1f45593a3611a535","observation_id":"2ab1cfef-6bf5-4472-8f6b-5eae8a614480","resolution":{"observed_at":"2026-08-06T12:27:18.160886Z","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":"2026-08-06T12:27:17.861580Z","title":"In: CVPR (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.861580Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:34154828f1e3e834665d8a645a516f4d02d4586d9a75b67c8a4fb8f72bab9ffb","observation_id":"4336f5d3-289e-4993-a379-c21d2fba03f2","resolution":{"observed_at":"2026-08-06T12:27:17.861580Z","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":"2026-08-06T12:27:17.864296Z","title":"In: ICLR (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.864296Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:9a5825f8f68ca363dd91ef907abb548f1014bb53d93aada970c6b3abe83fcd82","observation_id":"1d973572-a3b5-4770-b670-b7135f93c258","resolution":{"observed_at":"2026-08-06T12:27:17.864296Z","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":"2026-08-06T12:27:18.144179Z","title":"In: CVPR (2018)","venue":null,"work_id":"e0e2dc3d-3662-4802-97c5-b9bea232d9ff","year":2018},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.866708Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:645db9eee95b5b1f11a91d01ac4ce96e8130cce8a1112d5c550ee754920b9a89","observation_id":"fc707295-2062-4a78-b24a-11db15248f26","resolution":{"observed_at":"2026-08-06T12:27:18.146617Z","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":"2026-08-06T12:27:18.136860Z","title":"In: SCIA (2025)","venue":null,"work_id":"e2f98e37-1e9f-4885-acbd-bcb9c1fca832","year":2025},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.869118Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:a04b612cbc9097aa0f839a5d237a8307cb01fca9ad87536351b8b069eff98a8c","observation_id":"126c20b6-6e69-486e-bffd-b0d8f3fc0847","resolution":{"observed_at":"2026-08-06T12:27:18.139998Z","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":"2026-08-06T12:27:18.129900Z","title":"In: AAAI (2019)","venue":null,"work_id":"09c0af85-3ed8-445f-9f1e-fa89e5783aa9","year":2019},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.871505Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:692ef014d9dff84d47f3129e942d9e80f32dc942a9c0159e6372d04d084f365a","observation_id":"63f21aaa-24dc-45de-a3f0-e936b2e1a33d","resolution":{"observed_at":"2026-08-06T12:27:18.132693Z","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":"2026-08-06T12:27:18.123189Z","title":"Neurocomputing (2021)","venue":null,"work_id":"879db647-9c58-450a-bdde-d6241dd4d5de","year":2021},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.874161Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:f7ea15e9a3e094dac2e3bc36c75949bb81e7b3829665e9fadcb607f26dfe1394","observation_id":"94d1ec5f-8a12-47df-95f5-65dafee17ac4","resolution":{"observed_at":"2026-08-06T12:27:18.125732Z","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":"2026-08-06T12:27:18.116744Z","title":"In: FG (2021)","venue":null,"work_id":"9952290f-4868-47a8-8a3f-a93a4a964e48","year":2021},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.876418Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:2a6553a67c401b72989bd9cc12ddcbe056337ed6762d74dce656b909ca5855fa","observation_id":"fe128438-8221-45e8-88a7-5d32dbd3de96","resolution":{"observed_at":"2026-08-06T12:27:18.119194Z","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":"2026-08-06T12:27:18.110207Z","title":"In: ICMI (2021)","venue":null,"work_id":"21293c96-d4e9-4658-a7ce-9399c5af2670","year":2021},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.878791Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:16a9cb8cc1c44c1674f932abaf85b85d55b6ea6df3e1e272084c3d826e16f6da","observation_id":"51313f30-f7b2-44dd-8411-809c953c3753","resolution":{"observed_at":"2026-08-06T12:27:18.112784Z","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":"2026-08-06T12:27:18.103814Z","title":"In: CVPR (2021)","venue":null,"work_id":"0b2b0ae8-98ec-42b4-9836-ce10a22740cf","year":2021},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.881009Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:16e16c6c7803d6f0e61bfa830f7fde6bc289139e365deb19fe7ac66e3ffe102a","observation_id":"2fdf1398-4313-4d55-8c76-d2e7b34edfe9","resolution":{"observed_at":"2026-08-06T12:27:18.106203Z","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":"2026-08-06T12:27:18.096614Z","title":"In: ICCV (2021)","venue":null,"work_id":"5d1b8bd5-7f1a-4714-90f4-d0a00c3ead92","year":2021},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.883659Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:f714d95d47d80288932a6f218f698b51a9ff0a5c64d60a1cf945f9c7a52a0b5b","observation_id":"a8793dfa-5212-4a77-b93f-2337581f96d2","resolution":{"observed_at":"2026-08-06T12:27:18.098906Z","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":"1412.6550","last_updated":"2015-03-27T11:52:28Z","snapshot_observed_at":"2026-07-06T04:04:16.777653Z","submitted_at":"2014-12-19T22:40:51Z","title":"FitNets: Hints for Thin Deep Nets","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1412.6550","snapshot_observed_at":"2026-08-06T12:27:17.885834Z","title":"arXiv preprint arXiv:1412.6550 (2014)","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.885834Z"},"links":{"cited_paper":"/paper/1412.6550","citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:b952fac5bc33b84da2de3fe34fd186f94527db01ea064d405a1d77273af99ffc","observation_id":"7ae3c722-43bb-4c34-a8c5-e26caab1dbf5","resolution":{"observed_at":"2026-08-06T12:27:17.885834Z","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":"2026-08-06T12:27:18.089725Z","title":null,"venue":null,"work_id":"315ba080-077e-429a-b03a-b4ed02879f6f","year":2024},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.888833Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:b02b35be0140a749d8c509b05cdfb3b901d0da954b7a53285bc8ae3e0545bf1b","observation_id":"fa304ece-4a6a-43b4-8337-acc9b22676ba","resolution":{"observed_at":"2026-08-06T12:27:18.092096Z","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":"2026-08-06T12:27:18.083232Z","title":"In: ICCV (2017)","venue":null,"work_id":"4451961d-eec5-4642-ab7b-3932fca266f5","year":2017},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.891066Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:b34a13cb9e8dee152ef9110720fabdc64e878731fa7356018d93d7b338654907","observation_id":"34c6e456-076c-498a-ac03-150814048c13","resolution":{"observed_at":"2026-08-06T12:27:18.085603Z","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":"2026-08-06T12:27:18.076380Z","title":"IEEE TAFFC (2023)","venue":null,"work_id":"10e39ed0-9a1d-4aca-b6c7-b4f2661e98db","year":2023},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.893281Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:fe830990b62e26765060c57d1d5cdc34fad4da88db90086d169b24c985efba79","observation_id":"56b23fac-49dc-489a-862b-7232333f1319","resolution":{"observed_at":"2026-08-06T12:27:18.079073Z","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":"2026-08-06T12:27:18.068777Z","title":"In: Image Analysis (2024)","venue":null,"work_id":"85a0f529-91ec-440b-ae07-7d6644a01492","year":2024},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.895549Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:28881349df139ae3735ac78b755202abdef10369b5cf7f5de35dd1a3220147ab","observation_id":"fcba0cbc-6041-4498-b96a-ce3568adef37","resolution":{"observed_at":"2026-08-06T12:27:18.071419Z","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":"2026-08-06T12:27:18.061667Z","title":"In: ACM MM (2020)","venue":null,"work_id":"94f20188-afcd-4063-ad7e-a67c4a407088","year":2020},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.897938Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:72829652f9de5a86a8667aebfdea0fc824df6aa11fe38410fa6e099d03263d7e","observation_id":"089aa949-6b75-4995-bfc2-4d6fe7442000","resolution":{"observed_at":"2026-08-06T12:27:18.064136Z","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":"2026-08-06T12:27:17.900355Z","title":"arXiv preprint arXiv:2505.03621 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.900355Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:d12eb827c90fcc0973bc905ef535891b88ac7e8ca2d7bed645de35d522bfbc98","observation_id":"c78db370-b544-4426-9f91-ad4f0f5f9078","resolution":{"observed_at":"2026-08-06T12:27:17.900355Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.23450","last_updated":"2025-03-30T14:09:13Z","snapshot_observed_at":"2026-08-10T15:55:08.868753Z","submitted_at":"2025-03-30T14:09:13Z","title":"AU-TTT: Vision Test-Time Training model for Facial Action Unit Detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.23450","snapshot_observed_at":"2026-08-06T12:27:17.902965Z","title":"arXiv preprint arXiv:2503.23450 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.902965Z"},"links":{"cited_paper":"/paper/2503.23450","citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:28f13bd9b4950cc7d8e7292649c3527afe615a55d9d11faa8646c1c148a9516d","observation_id":"cc1bef17-47e4-4330-9c37-70b910a319ca","resolution":{"observed_at":"2026-08-06T12:27:17.902965Z","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":"2026-08-06T12:27:18.053612Z","title":"In: PLOS ONE (2014) AU-LLM: Enhancing Micro-Expression AU Detection with LLMs 11","venue":null,"work_id":"dfde06ea-ea77-4e73-b565-907ce4762a92","year":2014},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.905650Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:bca86a349b37967663f5e939c54e4ffeb6151f0147458df20852d302dfa74f29","observation_id":"387d9438-196d-499f-abb7-d3cab3c1e225","resolution":{"observed_at":"2026-08-06T12:27:18.057139Z","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":"2026-08-06T12:27:18.045613Z","title":"In: ECCV (2024)","venue":null,"work_id":"9584151f-c3c2-4606-931b-9ed271763cca","year":2024},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.908104Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:0510a8d3319150ce9470662249277c1a0b435bd0ca0168b2ff34a5329beb6001","observation_id":"f128d40e-c73c-4ce4-94d4-804c06a7f8f0","resolution":{"observed_at":"2026-08-06T12:27:18.048174Z","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":"1612.03928","last_updated":"2017-02-12T22:05:47Z","snapshot_observed_at":"2026-08-14T21:25:52.327796Z","submitted_at":"2016-12-12T21:15:57Z","title":"Paying More Attention to Attention: Improving the Performance of Convolutional Neural Networks via Attention Transfer","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1612.03928","snapshot_observed_at":"2026-08-06T12:27:17.910364Z","title":"arXiv preprint arXiv:1612.03928 (2016)","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.910364Z"},"links":{"cited_paper":"/paper/1612.03928","citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:3b3e04dc8e2809a6aeaf6dee57a9ae6e955c96a36c33043bf28023ff277cf61d","observation_id":"bd56b574-0e11-4553-967d-5572641039c5","resolution":{"observed_at":"2026-08-06T12:27:17.910364Z","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":"2026-08-06T12:27:18.038449Z","title":"IEEE TPAMI (2007)","venue":null,"work_id":"a9173017-f8b1-48af-b3a3-c0b95873e2f2","year":2007},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.913125Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:49f5b0cf0ef9b18fed7c87f574614d4c13b84f8141de1215c09e4c27f12743c4","observation_id":"86886cfb-53f1-45ed-b4a4-81ff284edb7d","resolution":{"observed_at":"2026-08-06T12:27:18.041140Z","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":"2026-08-06T12:27:18.030192Z","title":"In: CVPR (2015)","venue":null,"work_id":"b0853eba-5506-42a9-b25a-14d718b542c3","year":2015},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.915517Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:1051c7ee00aaf9d3dc21ae9a381e27d9471068c06273a7555fc92a8fd259c124","observation_id":"d67715b7-3b88-4ef0-9321-e2ec89abf692","resolution":{"observed_at":"2026-08-06T12:27:18.033602Z","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":"2026-08-06T12:27:17.917965Z","title":"IJCV (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T12:27:17.917965Z"},"links":{"citing_paper":"/paper/2507.21778"},"observation_digest":"sha256:055e0a7461c6cf4e0a679bf8c2aa0db59099eccb4decaf5c5e09a0dac5d9dfed","observation_id":"ab3419f6-ae9c-4066-9a64-319adb7e1946","resolution":{"observed_at":"2026-08-06T12:27:17.917965Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.21778","last_updated":"2025-07-29T13:01:59Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T12:20:27.661029Z","submitted_at":"2025-07-29T13:01:59Z","title":"AU-LLM: Micro-Expression Action Unit Detection via Enhanced LLM-Based Feature Fusion"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":10,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":29},"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 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.21778."}