{"as_of":"2026-08-18T12:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f759189e7a9fb77b2d0b39445d2b54f118018afccac9a1fd82a43ef6b8ea4001","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:33:33.768339Z","state":"measured"},{"denominator":57,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":57,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2608.08736/citation-record","integrity":"/paper/2608.08736/integrity","json":"/paper/2608.08736/citation-record.json","paper":"/paper/2608.08736"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T04:33:32.493942Z","title":"proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , pages=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.493942Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:e9a2ccd03bccabc26365e66f42d21bf5669b752f3f94ec8a76489cd9c7fe1dfd","observation_id":"7942c4e0-d53f-4258-941f-5ba323f709db","resolution":{"observed_at":"2026-08-14T04:33:32.493942Z","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":"2026-08-14T04:33:36.245229Z","title":null,"venue":null,"work_id":"d67cb06a-0aa8-46e6-ae62-ee607e72d5ae","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.530392Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:13bc3bd5a56de07bac2d69d48da6cbebc33665212ac91b365f94f34931b4e6f8","observation_id":"c77c393a-abd0-42c9-9b80-adbf97834f78","resolution":{"observed_at":"2026-08-14T04:33:36.273193Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:36.095302Z","title":"Proceedings of the IEEE conference on computer vision and pattern recognition workshops , pages=","venue":null,"work_id":"de4caad1-a1fe-4c83-afe7-29444b0e9480","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.556239Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:1e3c2a6c3d3b58cf1b8faf4cf229b9367cb4c708362c2a4d39ae73b5faed369f","observation_id":"a03d0152-0aaf-42c1-af31-eadb5a27ec38","resolution":{"observed_at":"2026-08-14T04:33:36.150280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:36.077659Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":"fd549eae-c441-43db-8295-955140a3e53c","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.561803Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:eedafdfe7daa2464971321c7813672b53df123b533a5b847f18d70ff4fb193a6","observation_id":"d6e9181e-dfe2-4dd4-9acb-020137487473","resolution":{"observed_at":"2026-08-14T04:33:36.083292Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:36.016049Z","title":"Sports medicine , volume=","venue":null,"work_id":"9becfa75-63d1-4d91-b373-383173ef2811","year":2021},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.566775Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:e9613a15c3c50a84f7b5568f19074d8f9a5158267bb981a045f4b3d6af91fbfa","observation_id":"6ee515c3-2840-481b-b8cc-a510c692192f","resolution":{"observed_at":"2026-08-14T04:33:36.065167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.823588Z","title":"International journal of environmental research and public health , volume=","venue":null,"work_id":"4f0cbbb8-386d-4139-af47-99bc43ff315c","year":2022},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.572279Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:b23d48faf36bfc3ab5c90c49c8e2657891c007204ce9149b65616293b5a35a2e","observation_id":"7ddbf2fd-6914-40d5-9101-50b57b30e47a","resolution":{"observed_at":"2026-08-14T04:33:35.898818Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:32.577365Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.577365Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:9376f67726300231e0009037c650899415215c3d4dac438825663db676adf61a","observation_id":"0d027b6d-ef77-45e7-9a09-32fc9fdf0750","resolution":{"observed_at":"2026-08-14T04:33:32.577365Z","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":"2026-08-14T04:33:32.582660Z","title":"Advances in neural information processing systems , volume=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.582660Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:79a6020137bf6c350e497820a5e5dbc440873c840105e83d0cf0920c47dfbd7c","observation_id":"ee8f0428-f596-4e36-9dcb-50355c9fd65e","resolution":{"observed_at":"2026-08-14T04:33:32.582660Z","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":"2026-08-14T04:33:32.587990Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.587990Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:5ad19f6fe81ae83cf01771234c1f994eab74c72dc38bae513d95a19d25d3fbcc","observation_id":"be36bdf6-d8ed-4428-9cb6-6c180b552ac6","resolution":{"observed_at":"2026-08-14T04:33:32.587990Z","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":"2026-08-14T04:33:35.732339Z","title":"Proceedings of the IEEE/CVF international conference on computer vision , pages=","venue":null,"work_id":"8eae6662-5a1d-49db-bb32-88cbbd50f34b","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.593864Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:11693cd3979239dd007a66ad3541701aac5fbb8a43fddc088bcabf4d1c0a5837","observation_id":"f8cb50d9-4fc7-4d99-b9fa-c9c9b8ac0b04","resolution":{"observed_at":"2026-08-14T04:33:35.738625Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.668092Z","title":"Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=","venue":null,"work_id":"91662fd7-655c-4c12-8c46-51aeb0bd129f","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.598933Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:6d055f1d1cb5533668941f9163fe546f8cfe0051d64d71d4e75eb3844cb745e0","observation_id":"b6fd231d-cfa7-4ef5-a9cd-643bd9cee793","resolution":{"observed_at":"2026-08-14T04:33:35.712533Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.556056Z","title":"Computers & Graphics , volume=","venue":null,"work_id":"46cf36ee-ecc8-4315-bc2b-86be1850966e","year":2018},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.701744Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:402a7b956cb79e7a70acea801135bb9b8d4076081e0c4d1675e7c738f5d7e69c","observation_id":"fc716e83-0b73-4a60-b131-78a64fbf642e","resolution":{"observed_at":"2026-08-14T04:33:35.615176Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.11774","last_updated":"2025-06-13T13:33:59Z","snapshot_observed_at":"2026-08-11T02:30:28.287645Z","submitted_at":"2025-06-13T13:33:59Z","title":"Real-Time Feedback and Benchmark Dataset for Isometric Pose Evaluation","version":1},"cited_work":{"arxiv_id":"2506.11774","doi":null,"metadata_source":"pith","pith_arxiv_id":"2506.11774","snapshot_observed_at":"2026-08-14T04:33:33.947633Z","title":"Real-Time Feedback and Benchmark Dataset for Isometric Pose Evaluation","venue":"cs.CV","work_id":"28701fae-7cf8-4971-9d9a-07ac8a98824d","year":2025},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.785843Z"},"links":{"cited_paper":"/paper/2506.11774","citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:d2ab5a25680a4f9b990be43583a9ded56c5b213f80412afa1ca6e2f11935db81","observation_id":"bf08033e-584d-4bd8-9cbd-870ed5856486","resolution":{"observed_at":"2026-08-14T04:33:33.955901Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:32.827233Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.827233Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:bbafafc5d459929595035e89fc0cd3aa850ba0d3c1a02aa40264a3c3f8939653","observation_id":"00e9ab49-91ec-4546-88aa-0ce1a86d5859","resolution":{"observed_at":"2026-08-14T04:33:32.827233Z","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":"2026-08-14T04:33:35.526752Z","title":null,"venue":null,"work_id":"7b3d2176-c1c2-4cb9-a163-b4a10e78c338","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.840465Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:d2d7c5fdba3b5d6ac453c62bdfb9e72788e36e4286c1f9c5bfdb92340a8fef3b","observation_id":"10173fb5-8bb0-447e-a735-112a79955840","resolution":{"observed_at":"2026-08-14T04:33:35.531661Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.508668Z","title":null,"venue":null,"work_id":"1baab09f-06dd-499c-afcc-4a8e34c708bc","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.846270Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:4a385dfb9b4d4417000a833f4fe2d0a5350a33c6c86c16439027c286a7b93b2a","observation_id":"287b5f24-9d2b-4823-bb8c-56d51b48e5a8","resolution":{"observed_at":"2026-08-14T04:33:35.514465Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.491990Z","title":"2019 IEEE winter conference on applications of computer vision (WACV) , pages=","venue":null,"work_id":"06c7f7b2-3af7-47f9-9373-8e6d2c984d93","year":2019},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.852518Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:8ac2cd6e94299f2212592233c88248e636187f07570ac19a469e8e98ddd7d573","observation_id":"cfec7038-75e2-4982-8e33-4300db2ac568","resolution":{"observed_at":"2026-08-14T04:33:35.497014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.476556Z","title":", author=","venue":null,"work_id":"0b60db84-0675-44c3-81ac-421fcb8aa595","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.858412Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:b3833c775ad4c487270a2f4369469d29ad824781f9807c249504c8361aa0c8ba","observation_id":"1b7ba8cb-5053-415f-9526-50a0182e27a3","resolution":{"observed_at":"2026-08-14T04:33:35.481302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.417286Z","title":"2024 , organization=","venue":null,"work_id":"912947a3-b69d-45ec-81b2-851e651c87bb","year":2024},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.894237Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:208af4909257a5feb4e238f6ac0fd992e6dc5d6efec4c70b7da767c941fe1c29","observation_id":"5b38f975-927e-4b6b-86a2-66877aab1c0b","resolution":{"observed_at":"2026-08-14T04:33:35.446825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.362267Z","title":"IEEE transactions on circuits and systems for video technology , volume=","venue":null,"work_id":"cdfc1409-a8f7-45b4-a1e3-6bc47c0445c4","year":2019},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:32.961906Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:87caab250d0b7c7476f9fe9d8b4fe3797ac4041ecfb5e5d88d152e22d5d9582c","observation_id":"f9a72f55-aee4-4c38-958c-c4f17fe7d786","resolution":{"observed_at":"2026-08-14T04:33:35.383889Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.343553Z","title":null,"venue":null,"work_id":"168f5904-0e9b-446d-bf2e-0796711c196c","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.026550Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:d86ab08544889051593a22cefe6c726910829d13f54355b769e93fe8b9659492","observation_id":"19a8abe2-87a0-434e-9fab-6dda1e2ab09e","resolution":{"observed_at":"2026-08-14T04:33:35.351475Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.160889Z","title":null,"venue":null,"work_id":"f1751148-888e-4942-b3d7-8d4098f1f693","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.036065Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:d2dd58dba23829b1a75ce410a3215587f95d60086a99a0cac32c56fcd5f3c6d2","observation_id":"28d907f8-00eb-47a4-944b-2d12c94e43ab","resolution":{"observed_at":"2026-08-14T04:33:35.251977Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.074072Z","title":null,"venue":null,"work_id":"a670887b-c89a-468a-a30b-04a4b3f53e06","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.041622Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:8e32b4191ed1f05b61a2c621f5d13bd4f4c2fafb53512003c1b9017a5dd719db","observation_id":"f00f19ba-0d51-4710-9028-f7f602a0215c","resolution":{"observed_at":"2026-08-14T04:33:35.113369Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.057695Z","title":null,"venue":null,"work_id":"294f4b04-46d5-47ad-bc60-f289aa2b4709","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.046949Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:0e7ea4148dec61429380cacba81ff6e3b448f1f30921e188c23d6737278e640c","observation_id":"dac78d5c-91d1-43ac-b5e4-3cfef1b0ff3c","resolution":{"observed_at":"2026-08-14T04:33:35.062468Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.041159Z","title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering , volume=","venue":null,"work_id":"22414a51-5920-4ec5-98c7-6fc58dd709da","year":2020},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.052460Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:5a5c748ed36f9f5a9f410296049c24940de4aede94c2644b48ee6dfe9dc79ada","observation_id":"421a7ca3-386a-4b2b-be94-bd659f476acf","resolution":{"observed_at":"2026-08-14T04:33:35.046374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:35.016686Z","title":"European conference on computer vision , pages=","venue":null,"work_id":"a1c61758-0dee-43c4-a1dd-3a888d14e1f6","year":2022},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.057874Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:47a601950ea5acc7cb3a973eff2071c1f7164891693fa4e06be13af0513c9514","observation_id":"30f1c9b7-2bee-4387-83e4-736c3773c1a3","resolution":{"observed_at":"2026-08-14T04:33:35.024077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.995460Z","title":"2025 International Conference On Rehabilitation Robotics (ICORR) , pages=","venue":null,"work_id":"45a99ec8-0974-4a5a-9044-096e8d1d617b","year":2025},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.063703Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:d0b1521b8e8005a612281fe50b146a176379491e0c1d9ceb026c0773b45fbe1d","observation_id":"0a071aea-fcf9-4953-95b3-25289f3a589e","resolution":{"observed_at":"2026-08-14T04:33:35.000261Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.943881Z","title":null,"venue":null,"work_id":"5b023f35-8483-4538-9da1-2e45af2fc023","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.069356Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:3d67c891c9e850471010a2b8e5eec3abdaaea1b799a808dea3754469af24f3b3","observation_id":"c1b17d35-47e5-465f-bf77-69ff5fdb0148","resolution":{"observed_at":"2026-08-14T04:33:34.977847Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.892314Z","title":"IEEE Transactions on Neural Systems and Rehabilitation Engineering , volume=","venue":null,"work_id":"a07f9872-8693-46a1-ac4b-827c550b133b","year":2023},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.075080Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:b590c8252c740886c8de33e8884a92f1d1282328984b312a7b495687b8d308d7","observation_id":"2fe20a13-9f00-476f-af07-0222489988b0","resolution":{"observed_at":"2026-08-14T04:33:34.904405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.754985Z","title":null,"venue":null,"work_id":"f9de1c75-09b1-4c07-8e36-00a77dba5ae1","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.080062Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:2affe9e7ab0e4862cf0dcd4825d97ca847b13f86cffd95fd53be955517140b8a","observation_id":"47aadd43-8e84-4858-9d8e-6a6fdc1c27e9","resolution":{"observed_at":"2026-08-14T04:33:34.837876Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.737494Z","title":"PloS one , volume=","venue":null,"work_id":"836dd7f2-32de-4880-9852-5b26bd060224","year":2025},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.103416Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:5caad398ca7d175b86cb1bf107a09dbdf927b9342c0564ee38771368239a2918","observation_id":"74e29050-1d0a-488c-8c75-770d208b8742","resolution":{"observed_at":"2026-08-14T04:33:34.742640Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.718745Z","title":"Engineering Applications of Artificial Intelligence , volume=","venue":null,"work_id":"70bfd640-e45a-4b33-900d-0312677229aa","year":2026},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.135195Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:15309cd95f6ee4c1f3157ce036f2a600f47d0f2eded25dfb70f2c83850602675","observation_id":"9330f9b5-a771-4e58-91aa-788bde2ce381","resolution":{"observed_at":"2026-08-14T04:33:34.724148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.700080Z","title":null,"venue":null,"work_id":"ba11c2b2-1915-48ef-91f6-cecda4caedbc","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.202321Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:a0f48da0e87676417c7ec463897ad5f07c63f1d2c6da917404d95320cfaab072","observation_id":"905dd536-de04-4981-a511-dcdb46f3b0f9","resolution":{"observed_at":"2026-08-14T04:33:34.705502Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.15153","last_updated":"2026-06-04T05:17:07Z","snapshot_observed_at":"2026-08-15T17:41:01.560226Z","submitted_at":"2025-12-17T07:35:03Z","title":"Explainable Action Form Assessment by Exploiting Multimodal Chain-of-Thoughts Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.15153","snapshot_observed_at":"2026-08-14T04:33:33.232506Z","title":"arXiv preprint arXiv:2512.15153 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.232506Z"},"links":{"cited_paper":"/paper/2512.15153","citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:5da3731dce18f476cfd083ec75bf706d539af683f4356552fefe38386a34a371","observation_id":"84a6a4bc-8699-4d24-b0be-b544c977c5d9","resolution":{"observed_at":"2026-08-14T04:33:33.232506Z","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":"2026-08-14T04:33:34.680460Z","title":"Advances in Neural Information Processing Systems , volume=","venue":null,"work_id":"88f40d44-c3a9-4f06-91ba-a45b938e94fb","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.246123Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:3cc9feb803e0b62ea29225a09ff78da443c3e11e0cde575628b1aeccd7083e83","observation_id":"b4ae3929-fd59-46fb-9d76-db663ad23b5d","resolution":{"observed_at":"2026-08-14T04:33:34.685308Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.617435Z","title":null,"venue":null,"work_id":"b66dd729-8daf-4109-b7f2-861bc57f0f61","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.250544Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:6a69cb8cec4d53014c1b14edd52e306d4e404b5034c3bbf7d6c7ed60008f616f","observation_id":"4484113b-3d6e-4296-b76d-326a10afbb76","resolution":{"observed_at":"2026-08-14T04:33:34.666868Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.561511Z","title":"2026 , eprint=","venue":null,"work_id":"89fb3887-b530-46a3-b66b-fae5eeaabeb2","year":2026},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.256373Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:7e395dcac1f79f26723ee556e0266ca9a93894fbf348a231a4ba7f4a0a137708","observation_id":"4947cad4-7887-48d8-bbd1-3823c3109d4d","resolution":{"observed_at":"2026-08-14T04:33:34.580736Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.467562Z","title":"Adjunct Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization , pages=","venue":null,"work_id":"6a45bec1-4186-46cc-ab97-e709dce22152","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.269686Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:3c87e4080b69b8e56300d3767cc5a823cf6c22b94c4574f80bef47985d374f54","observation_id":"0fdf0ea8-d8af-49d6-b4e0-cd0030906ead","resolution":{"observed_at":"2026-08-14T04:33:34.511294Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1907.06987","last_updated":"2022-10-17T19:58:40Z","snapshot_observed_at":"2026-08-14T16:05:50.720818Z","submitted_at":"2019-07-15T12:58:21Z","title":"A Short Note on the Kinetics-700 Human Action Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.06987","snapshot_observed_at":"2026-08-14T04:33:33.275601Z","title":"arXiv preprint arXiv:1907.06987 , year=","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.275601Z"},"links":{"cited_paper":"/paper/1907.06987","citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:66ceb8f7671d43174591ed4969658d0710b6c9f868df0d774fa47a70f0a58817","observation_id":"99d1d85f-2454-47b1-bd0a-daeb6b215688","resolution":{"observed_at":"2026-08-14T04:33:33.275601Z","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":"2026-08-14T04:33:33.282981Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.282981Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:3b031c93859757cf11b30bc5f7f4b2cc7c9e2ce45c07e7f0b6539618bf5a4a85","observation_id":"eb964b2d-8a1f-4f8d-a4d7-35273c4946be","resolution":{"observed_at":"2026-08-14T04:33:33.282981Z","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":"2026-08-14T04:33:33.288094Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.288094Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:f445f63485c95f1aca5b994b13815adbb8db3f69114b30bd1db04691a032e861","observation_id":"17a8ee56-9af1-4f0f-b8a6-9643a4e146f5","resolution":{"observed_at":"2026-08-14T04:33:33.288094Z","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":"2026-08-14T04:33:33.350254Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.350254Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:021d4a4dc271567b2f0fa6ddb114e6db382042c43e6570b7395ec6681d4ead26","observation_id":"2bbf9ae9-1767-4f25-90ea-fa7320d136cd","resolution":{"observed_at":"2026-08-14T04:33:33.350254Z","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":"2026-08-14T04:33:34.392545Z","title":null,"venue":null,"work_id":"f86d451c-3075-4060-9a6e-b67f54564283","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.421645Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:5289f0e555d6b52316bd042ebc601a11680e031c64161a407e64492ca020c617","observation_id":"279874ac-559e-4a11-aca0-48f24948e1c1","resolution":{"observed_at":"2026-08-14T04:33:34.398142Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.376032Z","title":null,"venue":null,"work_id":"e9a64379-09af-4596-bf00-3590fb41c373","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.480132Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:1d40d842193afdccf8f30e61836054643031b4a867e4b7a87afb19f1491d40ba","observation_id":"b5229b73-4ca6-4c1e-866a-a2cd1389ad36","resolution":{"observed_at":"2026-08-14T04:33:34.381020Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.347286Z","title":null,"venue":null,"work_id":"46005328-fac1-41dd-80e2-f1cc833839d1","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.485470Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:dcd399a4675e4d0dc3c0da9cc642a94944f9bdbed332324a40ec9eabc60a33b0","observation_id":"cd1fff38-266e-4ca2-94e3-55ffa96ad227","resolution":{"observed_at":"2026-08-14T04:33:34.364647Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:33.490052Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.490052Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:3ea48d1ab32265316c92a642c355daa2dedbb0be4ef0b0a2e7a44ad9c7c90caf","observation_id":"f9d0aa82-f320-436a-89b2-a2c0ec522003","resolution":{"observed_at":"2026-08-14T04:33:33.490052Z","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":"2026-08-14T04:33:34.313125Z","title":null,"venue":null,"work_id":"88268812-9376-4c51-916d-73ee566e603e","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.495267Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:fde8c447c7ed291aa6c14e86e1ec537bf6bfde33f97b7e9307882cbb350f88c6","observation_id":"32384469-9009-4aff-b730-f87ccd66d158","resolution":{"observed_at":"2026-08-14T04:33:34.319876Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:33.502153Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.502153Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:c11e8516b989a22dc1de75dca79285690080d69aaf345a31ead150e9be900c48","observation_id":"16c757e0-4e47-43fa-99c9-e4ed9d8c1883","resolution":{"observed_at":"2026-08-14T04:33:33.502153Z","resolver_source":null,"status":"parse_uncertain"},"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":"2026-08-14T04:33:33.507626Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.507626Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:b6cbc5330e5d756f669f19d6412ba939ce696f4ed98ff56cb9ba7cafcd14e53d","observation_id":"d8872801-88d7-4600-a58b-d90cf84550c3","resolution":{"observed_at":"2026-08-14T04:33:33.507626Z","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":"2026-08-14T04:33:34.271937Z","title":null,"venue":null,"work_id":"07df0d1f-1520-4146-a47d-2fbd3c4575e3","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.512734Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:36a0d61e6ebb75c6172487bba1cf334641a6148358efa80eabf995af936dc0cb","observation_id":"f5b9bbbd-89c1-47eb-a210-7f6fdefad5a1","resolution":{"observed_at":"2026-08-14T04:33:34.277285Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.202294Z","title":null,"venue":null,"work_id":"9afb9025-fa05-48e1-8935-929942123118","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.518183Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:1322871ab1b9d027c3524b3401cc289eb654916343e40fb38cfdf36697c68e7c","observation_id":"a807581f-5943-4c2f-a6fd-9ff01f75733b","resolution":{"observed_at":"2026-08-14T04:33:34.234548Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.080865Z","title":null,"venue":null,"work_id":"16e10510-1055-4b55-9a6d-1a2615b95dcc","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.524026Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:77a557f58539132cb813e7a9ff20c043278871eadb9f8a59bb211aebdab7dbd3","observation_id":"cae1c489-f30b-4969-80bd-3e88b81e5d45","resolution":{"observed_at":"2026-08-14T04:33:34.126700Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.031320Z","title":null,"venue":null,"work_id":"2616e0ad-b734-482f-8537-fadde5643949","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.529417Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:d1d439065b0d36dada72f9b29e40e21b798eff0d4b512e9b7eeb0526faeb37df","observation_id":"bd5749bd-4362-41f4-a98a-0cbb37bfa9cf","resolution":{"observed_at":"2026-08-14T04:33:34.036483Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:34.014514Z","title":null,"venue":null,"work_id":"b3459035-18ae-49ba-b755-b1fdf71e54c7","year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.534338Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:cfe824591dd7f82fa7e208001d53ac7c21e3682f413e1d82e3c351e4a7f9298e","observation_id":"4b726918-5593-40f4-bf56-cfd9bdcb6d05","resolution":{"observed_at":"2026-08-14T04:33:34.019172Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-14T04:33:33.564054Z","title":"Gonzalez and Hao Zhang and Ion Stoica , booktitle=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.564054Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:b2c939e6a3d2837de665a75e0b697104eb1f542629fbc1a1c158b02ef2ca2bcb","observation_id":"85ab3cf1-2445-4dee-bbb1-94bf325b1e39","resolution":{"observed_at":"2026-08-14T04:33:33.564054Z","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":"2026-08-14T04:33:33.654966Z","title":"Proceedings of the 2020 conference on empirical methods in natural language processing: system demonstrations , pages=","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.654966Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:5d10a87d831bd9fc59559cc1acaed91a6eb5b682c5d043e2a8b7aba819566fac","observation_id":"43ab5480-72e6-496f-9259-515251b1d860","resolution":{"observed_at":"2026-08-14T04:33:33.654966Z","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":"2026-08-14T04:33:33.768339Z","title":"Proceedings of the 27th ACM International Conference on Multimedia , series=","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-14T04:33:33.768339Z"},"links":{"citing_paper":"/paper/2608.08736"},"observation_digest":"sha256:67b60c67e5046041a210ef7a2e19751317cb36dee018b56a0720a59ec19ecc6c","observation_id":"f25fd770-d101-45a4-a5bc-cb77a9cf0ab0","resolution":{"observed_at":"2026-08-14T04:33:33.768339Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.08736","last_updated":"2026-08-09T14:28:17Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-16T14:49:20.572598Z","submitted_at":"2026-08-09T14:28:17Z","title":"FitAQA: A Benchmark of Fitness Action Quality Assessment for Multimodal Large Language Models"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":2,"unresolved":34,"verified_exact":0,"verified_fuzzy":20},"total_outbound_references":57},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2608.08736."}