{"as_of":"2026-08-04T11:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e48ec0b805af964db8dd3479df1d3d7cd87a6750591bbe30f9ebba4b361c83b2","coverage":[{"denominator":90,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":90,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-16T23:08:08.584111Z","state":"measured"},{"denominator":94,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":94,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T19:27:29.843866Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T12:15:01.137692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"cited_work":{"arxiv_id":"2512.11016","doi":"10.48550/arxiv.2512.11016","metadata_source":"pith","pith_arxiv_id":"2512.11016","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","venue":"cs.CV","work_id":"71fc7276-5c97-4c8d-92d0-3089cf770595","year":2025},"citing_paper":{"arxiv_id":"2604.22226","last_updated":"2026-07-13T04:05:34Z","snapshot_observed_at":"2026-07-16T23:18:42.650626Z","submitted_at":"2026-04-24T05:02:03Z","title":"Towards Temporal Compositional Reasoning in Long-Form Sports Videos","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-08T12:45:50.422679Z"},"links":{"cited_paper":"/paper/2512.11016","citing_paper":"/paper/2604.22226"},"observation_digest":"sha256:339e28a392b2e06e77be41f043370bc75f7811b60b479f47b17b7f6c44522464","observation_id":"15cf3547-dcd1-489e-be1f-acfdb8cb6147","resolution":{"observed_at":"2026-05-08T21:34:15.572290Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2512.11016","snapshot_observed_at":"2026-07-14T19:27:29.843866Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2604.22226","last_updated":"2026-07-13T04:05:34Z","snapshot_observed_at":"2026-07-16T23:18:42.650626Z","submitted_at":"2026-04-24T05:02:03Z","title":"Towards Temporal Compositional Reasoning in Long-Form Sports Videos","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-07-14T19:27:29.843866Z"},"links":{"cited_paper":"/paper/2512.11016","citing_paper":"/paper/2604.22226"},"observation_digest":"sha256:9d8bed22cbc042a006fc1a5b1b06df89cfdbb5ca90c18b73593004350bef1a87","observation_id":"07d520b0-78f7-4b67-96a7-15dc49bd14b7","resolution":{"observed_at":"2026-07-14T19:27:29.843866Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"cited_work":{"arxiv_id":"2512.11016","doi":"10.48550/arxiv.2512.11016","metadata_source":"pith","pith_arxiv_id":"2512.11016","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","venue":"cs.CV","work_id":"71fc7276-5c97-4c8d-92d0-3089cf770595","year":2025},"citing_paper":{"arxiv_id":"2605.09598","last_updated":"2026-05-12T09:02:50Z","snapshot_observed_at":"2026-07-06T23:21:39.966502Z","submitted_at":"2026-05-10T15:18:08Z","title":"SoccerLens: Grounded Soccer Video Understanding Beyond Accuracy","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-12T02:58:59.009996Z"},"links":{"cited_paper":"/paper/2512.11016","citing_paper":"/paper/2605.09598"},"observation_digest":"sha256:4854d0dd410e804899871dfa252ff99154411a77251862997672fd4dd856f486","observation_id":"a03f0a9a-459e-44f7-89fc-35ab0ba87449","resolution":{"observed_at":"2026-05-12T03:01:18.243430Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"cited_work":{"arxiv_id":"2512.11016","doi":"10.48550/arxiv.2512.11016","metadata_source":"pith","pith_arxiv_id":"2512.11016","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","venue":"cs.CV","work_id":"71fc7276-5c97-4c8d-92d0-3089cf770595","year":2025},"citing_paper":{"arxiv_id":"2605.09598","last_updated":"2026-05-12T09:02:50Z","snapshot_observed_at":"2026-07-06T23:21:39.966502Z","submitted_at":"2026-05-10T15:18:08Z","title":"SoccerLens: Grounded Soccer Video Understanding Beyond Accuracy","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-13T06:36:35.495663Z"},"links":{"cited_paper":"/paper/2512.11016","citing_paper":"/paper/2605.09598"},"observation_digest":"sha256:62ca4fa72227a052e14da07443b9aebe07adfc31396f90cf68886c7b04912553","observation_id":"e1e05995-76e0-4ff4-b5a9-5be52e7457d5","resolution":{"observed_at":"2026-05-13T06:37:26.733672Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2512.11016/citation-record","integrity":"/paper/2512.11016/integrity","json":"/paper/2512.11016/citation-record.json","paper":"/paper/2512.11016"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.13923","last_updated":"2025-02-19T18:00:14Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-19T18:00:14Z","title":"Qwen2.5-VL Technical Report","version":1},"cited_work":{"arxiv_id":"2502.13923","doi":"10.48550/arxiv.2502.13923","metadata_source":"pith","pith_arxiv_id":"2502.13923","snapshot_observed_at":"2026-07-11T01:17:45.013705Z","title":"Qwen2.5-VL Technical Report","venue":"cs.CV","work_id":"69dffacb-bfe8-442d-be86-48624c60426f","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"cited_paper":"/paper/2502.13923","citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:8f4beb7a46a48f9590c94fa82d557a4f1835eef1adca7f13e9f8e553b9150438","observation_id":"bb9c2177-e98f-4d1e-9c84-60d9bc35f76c","resolution":{"observed_at":"2026-05-09T02:27:20.925694Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-12T05:19:13.082554+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-12T05:19:13.082554+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Jersey number recognition using keyframe identification from low-resolution broadcast videos","venue":null,"work_id":"506416f4-0b39-432b-a636-ea7a40f1d92e","year":2023},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:01ae9047d2be679407d0b54162b8de5a002b96bdc684a2623b6d2ad2acccbea9","observation_id":"ef5fd241-c318-4af0-b86b-de233c4fb605","resolution":{"observed_at":"2026-05-09T02:27:21.502373Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Meteor: An automatic metric for mt evaluation with improved correlation with hu- man judgments","venue":null,"work_id":"f4ecb5a0-0f93-4b92-9596-41f3634fe1c8","year":2005},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:a5f3a6a6130045a8518478b43797b2b0015727f2684ce929d9ce9ca1d89bd62f","observation_id":"95c098bb-d904-408b-b1b7-9c9f293e102f","resolution":{"observed_at":"2026-05-09T02:27:21.508791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Evaluating mul- tiple object tracking performance: the clear mot metrics","venue":null,"work_id":"1656794a-c1ef-47b2-9a4a-02060e19e527","year":2008},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:136b14967630bf093f57a3b43fa879a56d3927c62f110b017e44e5d744c081a7","observation_id":"e282594e-ba5a-4dae-b6bb-94fd77419793","resolution":{"observed_at":"2026-05-09T02:27:21.539280Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Is space-time attention all you need for video understanding? InProceedings of the International Conference on Machine Learning","venue":null,"work_id":"d6b62fd9-875e-4a1d-bdb2-8cf82ef7bff8","year":2021},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:d1f0daad8ea89d3b43ef525dc5da697602b8d3351b6aceab43776200d07ae8f4","observation_id":"5a147496-a84d-4660-ac2d-f0cf4f9c16a8","resolution":{"observed_at":"2026-05-09T02:27:21.552606Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Observation-centric sort: Rethinking sort for robust multi-object tracking","venue":null,"work_id":"cd9a500a-2bbe-4a97-8a5b-ceefb57bab19","year":2023},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:37ba2192f8981db3880abcbdaae44dd97c77366d2dfa2e56cd823e9f27d6587e","observation_id":"e45da413-a11a-4c26-8232-c586c47b9d9c","resolution":{"observed_at":"2026-05-09T02:27:21.566710Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Camera calibration and player local- ization in soccernet-v2 and investigation of their representa- tions for action spotting","venue":null,"work_id":"76f60719-d496-4a8c-a209-5c3a19ef164f","year":2021},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:f324dd02ac3dca8e250101826210c95c21c7107cf173d964577de8349a4f5c66","observation_id":"67af2a36-9880-4ab1-af7e-2d723c9e29a5","resolution":{"observed_at":"2026-05-09T02:27:21.570077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Scaling up soccer- net with multi-view spatial localization and re-identification","venue":null,"work_id":"f99611dc-adc6-45d1-85c8-0f734876282e","year":2022},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:319cb8babdc8729110b0038455da016beb90be058332303ae512d443f104959b","observation_id":"39eb2ec9-7d0d-419e-bab6-324fcd508eeb","resolution":{"observed_at":"2026-05-09T02:27:21.572927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Soccernet-tracking: Multiple object tracking dataset and benchmark in soccer videos","venue":null,"work_id":"50eda872-98ef-4c20-b1e1-5b00070bcdab","year":2022},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:8ea981822613a45ed073f1b87c4f6a1e61452978766b0abe9c011d7836b36a8e","observation_id":"b2fb2b59-36ff-4d4d-9223-39c545b049ba","resolution":{"observed_at":"2026-05-09T02:27:21.576399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10587","last_updated":"2024-09-16T14:12:22Z","snapshot_observed_at":"2026-07-06T19:16:18.894092Z","submitted_at":"2024-09-16T14:12:22Z","title":"SoccerNet 2024 Challenges Results","version":1},"cited_work":{"arxiv_id":"2409.10587","doi":"10.48550/arxiv.2409.105873","metadata_source":"pith","pith_arxiv_id":"2409.10587","snapshot_observed_at":"2026-07-10T06:15:00.866473Z","title":"ArXiv abs/2409.10587(2024), https://api.semanticscholar.org/CorpusID:272693834","venue":"cs.CV","work_id":"0fd46b14-f3b5-4fe0-ac6a-7b0176a9a0b8","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"cited_paper":"/paper/2409.10587","citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:f83a313f67562d72344228b27d3dcea2387ec29059e3480ad131bd92868dee2e","observation_id":"d4fab998-8961-4fb3-b018-72e18672e492","resolution":{"observed_at":"2026-05-09T02:27:20.917883Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sportsmot: A large multi- object tracking dataset in multiple sports scenes","venue":null,"work_id":"dc181217-7bf2-4f24-83ae-a304c8b424c8","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:1fc4063c334b823897d564e6d38c3d3c30c785bc8e50146ba5b35e491c75b5e0","observation_id":"f8963a93-5ebd-4101-965a-4223da21e1ac","resolution":{"observed_at":"2026-05-09T02:27:21.580347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Soccernet-v2: A dataset and benchmarks for holis- tic understanding of broadcast soccer videos","venue":null,"work_id":"fec0c53e-8c86-44ef-aefa-3f4a9efb1a2e","year":2021},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:31b4d1ed33193d48308a0f1064014ad780f5b6f6d8ffebe539b94f134409a1ed","observation_id":"c76107b2-23fa-487b-bbd8-9bb7c96a4d53","resolution":{"observed_at":"2026-05-09T02:27:21.590482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"An image is worth 16x16 words: Transformers for image recognition at scale","venue":null,"work_id":"5ce2e482-944d-40b7-99dd-42f66c9c8ab6","year":2021},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:8b692f8c1f3654759de20c5aec84ebaab3070d3efb620a13d2f483b0185f6f3e","observation_id":"b97a406e-4431-4161-87b7-0f5a40271102","resolution":{"observed_at":"2026-05-09T02:27:20.933277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Strongsort: Make deep- sort great again.IEEE Transactions on Multimedia","venue":null,"work_id":"ac2b28aa-7605-4d33-a8d6-3282ec6ea1d8","year":2023},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:5903da4e4a936e38b3153bfcc09ad4d2363353885dac5e990ec38b9b3e997758","observation_id":"c0c4fad6-8cef-4194-a454-a917852cc3ee","resolution":{"observed_at":"2026-05-09T02:27:20.941475Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Enhancing soccer camera calibration through keypoint exploitation","venue":null,"work_id":"f040fdf6-59a5-43aa-b5b2-f0e1f06108e0","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:6924fb275490b082d0209fe015711e1c66df132becedc4e481913959df0ee777","observation_id":"2b2516ce-a550-4592-976e-31d02d836032","resolution":{"observed_at":"2026-05-09T02:27:20.945953Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Foundation models in robotics: Applications, challenges, and the future.The International Journal of Robotics Research","venue":null,"work_id":"98fb01db-065e-4843-823e-6504dfd4ced9","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:871f4d49dd3d6260ec3ecdbd0c4c8843d332867d033af8c7f65bbbb2a9d46179","observation_id":"ac3b6e85-06dd-455a-90a2-b40e002d61df","resolution":{"observed_at":"2026-05-09T02:27:20.953221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01105","last_updated":"2024-09-05T03:38:08Z","snapshot_observed_at":"2026-07-06T17:24:03.237617Z","submitted_at":"2024-02-02T02:44:59Z","title":"A Survey for Foundation Models in Autonomous Driving","version":4},"cited_work":{"arxiv_id":"2402.01105","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.01105","snapshot_observed_at":"2026-07-01T09:35:40.717149Z","title":"A survey for founda- tion models in autonomous driving","venue":null,"work_id":"c9774671-e41f-4d8b-ad4f-3407de3d9a4a","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"cited_paper":"/paper/2402.01105","citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:e3918c573f7bc15a7825f7cd8c6efc536a4b744cab79fdb8401747890cdd16fb","observation_id":"fb69a8e1-4c23-432c-83b4-1209da573553","resolution":{"observed_at":"2026-05-09T02:27:20.868893Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Multiple object track- ing as id prediction","venue":null,"work_id":"74a4d998-85aa-4d79-888f-975dafbe31f3","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:448e1230b1361a0c51f06de223dc1626c4d4c531bd2e003dcc38466996e23854","observation_id":"0deeafae-2188-4088-af5c-0fb792fc574d","resolution":{"observed_at":"2026-05-09T02:27:20.962109Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Soccernet: A scalable dataset for action spotting in soccer videos","venue":null,"work_id":"f5716594-636c-4c83-833e-14a942a861e0","year":2018},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:c8cd1ab21d17b92bbed602502bc774d53f8dc22cc374a1f3a9d27643773a538e","observation_id":"163718da-6fb4-422e-b5b4-8401ec945b5b","resolution":{"observed_at":"2026-05-09T02:27:20.965999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Soccernet 2022 challenges results","venue":null,"work_id":"aeb46cb4-1ca3-493c-89b7-06af2e28019a","year":2022},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:e7db5830128ec2edb2d7440602ccc5f50d97026b12408a07bafe2b5778a6cf83","observation_id":"e7f8575b-a5f9-456d-b88e-e271b452f5f6","resolution":{"observed_at":"2026-05-09T02:27:20.969501Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.19182","last_updated":"2025-08-26T16:37:07Z","snapshot_observed_at":"2026-07-06T22:19:00.152099Z","submitted_at":"2025-08-26T16:37:07Z","title":"SoccerNet 2025 Challenges Results","version":1},"cited_work":{"arxiv_id":"2508.19182","doi":"10.48550/arxiv.2508.191823","metadata_source":"pith","pith_arxiv_id":"2508.19182","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"ArXiv abs/2508.19182(2025), https://api.semanticscholar.org/CorpusID:280870241","venue":"cs.CV","work_id":"17f9ee80-5ba8-4132-974c-eb5b618fdddd","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"cited_paper":"/paper/2508.19182","citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:a27d3785f5ece610d4f4c1c81ada91c807502a70f15b5913d15a1c20b56c401a","observation_id":"9be33ddc-0cc6-44af-94fe-4abe7b685feb","resolution":{"observed_at":"2026-05-09T02:27:20.839762Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"From broadcast to min- imap: Achieving state-of-the-art soccernet game state recon- struction","venue":null,"work_id":"89e0aaae-475b-4bae-ba8a-30d37f83d343","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:461ffacd120c0d621af346832a79c21c4e03ddc72dd95c1bba740ac4662353a5","observation_id":"9b19bcc5-311e-40d7-bb7e-331c69fb404f","resolution":{"observed_at":"2026-05-09T02:27:20.976150Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.21783","last_updated":"2024-11-23T23:27:33Z","snapshot_observed_at":"2026-07-06T18:55:11.576666Z","submitted_at":"2024-07-31T17:54:27Z","title":"The Llama 3 Herd of Models","version":3},"cited_work":{"arxiv_id":"2407.21783","doi":"10.1016/s0749-0720(15","metadata_source":"pith","pith_arxiv_id":"2407.21783","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"The Llama 3 Herd of Models","venue":"cs.AI","work_id":"1549a635-88af-4ac1-acfe-51ae7bb53345","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"cited_paper":"/paper/2407.21783","citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:24607257d93d388eab3a75803d3c8760b0fb065b350ef9ebf23e27b85c84d29a","observation_id":"fb0e3e3e-696d-4777-974f-76f7dc575120","resolution":{"observed_at":"2026-05-09T02:27:20.884240Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2404.08401","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Pnlcalib: Sports field registration via points and lines optimization","venue":null,"work_id":"f30dc37d-f798-4e99-a86b-2e451c9a239e","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:579fea73660376e2640271bca2ffd4cb564fd8c722c121fa6b8cb1e14ef6a3a8","observation_id":"f3fcc008-67fe-484c-9f45-e3b660a895ba","resolution":{"observed_at":"2026-05-09T02:27:20.902967Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Vars: Video assistant referee system for automated soccer decision making from multiple views","venue":null,"work_id":"0b2762ce-e585-4c11-851a-50955169e902","year":2023},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:10356df1e27201ba684eb32b90536a1853b96f8e55233804c9d6d328cfd49e6a","observation_id":"522d98bd-8b0b-4234-b635-3b8962eddc21","resolution":{"observed_at":"2026-05-09T02:27:20.983366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"X-vars: Introducing explainability in football refereeing with multi- modal large language models","venue":null,"work_id":"6ccc9fa5-326a-4763-aeb6-70ebfcb16454","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:749c88e5258e0c82d07d44b62f40e69ad448f58f680633975324a51fb64e9192","observation_id":"37ab6e0b-8f75-4f9c-9dd4-040d6798ea6b","resolution":{"observed_at":"2026-05-09T02:27:20.989342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Ibrahim, Srikanth Muralidharan, Zhiwei Deng, Arash Vahdat, and Greg Mori","venue":null,"work_id":"9b17fdc6-11c1-4c4a-857a-281919104244","year":2016},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:eb726091a7c843663e832bca7548e3d15ee187ee982488c9d92a1ff9b1354aa5","observation_id":"2d7afd99-b5a9-492a-b984-2f22963664c9","resolution":{"observed_at":"2026-05-09T02:27:21.019354Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1412.6980","last_updated":"2017-01-30T01:27:54Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2014-12-22T13:54:29Z","title":"Adam: A Method for Stochastic Optimization","version":9},"cited_work":{"arxiv_id":"1412.6980","doi":"10.1002/mrm.28086","metadata_source":"pith","pith_arxiv_id":"1412.6980","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"Adam: A Method for Stochastic Optimization","venue":"cs.LG","work_id":"1910796d-9b52-4683-bf5c-de9632c1028b","year":2014},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"cited_paper":"/paper/1412.6980","citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:fc4ec1b712af3ffe92357defdd9117d21823989fc2361e803331e791b428e27c","observation_id":"af1b3e61-80c8-488f-b808-3daaffc0de29","resolution":{"observed_at":"2026-05-09T02:27:20.873410Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d42ea58f-7e05-4ab8-9f89-f20cb6b1d55c","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:b7e838f9433dcfedf3131ff06f91a4bc062cb4acd4cc095a71606a6ad54b9891","observation_id":"2a869f0b-0bfb-4b80-bd82-3094fd4b5b8f","resolution":{"observed_at":"2026-05-09T02:27:21.037218Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2401.01505","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Sports-qa: A large-scale video question answering bench- mark for complex and professional sports","venue":null,"work_id":"ca01516d-9998-4ec5-886a-f34df051fde6","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:f02458ce5ff54a36577b71d2a20bfc567a745ed845c3a0b053691facfd85defc","observation_id":"92d4e702-0375-4f97-95ad-1931b853a3a0","resolution":{"observed_at":"2026-05-09T02:27:20.891338Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation","venue":null,"work_id":"780e11a9-b40b-4ce9-945b-579215e76494","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:bc888a065ebdc44f7526766eb080d6ddf6a7fc4b196c4dddd90826fdc192d18b","observation_id":"be87723d-aa6d-4f6b-8daf-444d706eb4de","resolution":{"observed_at":"2026-05-09T02:27:21.041892Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models","venue":null,"work_id":"0d488907-363e-4264-b703-6a54951c75bb","year":2023},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:7816dfacc9726754de44307ef9dc1d20d5cebafeed2017132888ee4cf9fda1c1","observation_id":"d1a52c92-0db1-4cf9-85fb-23ed5483a577","resolution":{"observed_at":"2026-05-09T02:27:21.048328Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Multisports: A multi-person video dataset of spatio-temporally localized sports actions","venue":null,"work_id":"2e631595-4dd0-4d57-9bf4-f95c148205f2","year":2021},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:ee98bd8b37cb803b919fe9a2a406fdebb32b19b33755115b51331d90bcfd5ce8","observation_id":"fb2392d9-c07a-4993-b7cd-079c833f2aa6","resolution":{"observed_at":"2026-05-09T02:27:21.061916Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Rouge: A package for automatic evaluation of summaries","venue":null,"work_id":"16118e51-f942-4b3f-a340-691b1ceb82fc","year":2004},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:f129ffb7208b9e3b8d41ef0b25aaac9fa9a8a8b052710dd4ec5ceeb854937a41","observation_id":"6edd0ddc-8a8d-4bfe-a643-17ed09c81bd6","resolution":{"observed_at":"2026-05-09T02:27:21.085682Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Focal loss for dense object detection","venue":null,"work_id":"a348b4e8-c178-4d7b-a9f0-2d2ac04a0a3f","year":2017},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:17199362d5a4475540b725479812c5dce33188fd373f80e58bc56c9fb3461d8b","observation_id":"3e5f4984-ce38-451a-9ef3-6d0ade1f62d7","resolution":{"observed_at":"2026-05-09T02:27:21.090377Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"F3set: Towards analyzing fast, frequent, and fine-grained events from videos","venue":null,"work_id":"de9cecea-65a1-4d1a-a830-b9ff1042ffc4","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:0bdff57768a223f1300bb7c2c7aae8a3b55144e0f4b728846b2da962a27314b7","observation_id":"988c1613-0d7a-4792-a824-c286ce7fc8fa","resolution":{"observed_at":"2026-05-09T02:27:21.111584Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Decoupled weight decay regularization","venue":null,"work_id":"dca4ede9-2fe0-45b4-996a-693918d2e059","year":2019},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:128d7b354234d05b8914dc8e113ff0061b7ef0a9c638239c557985a7aa89bc6a","observation_id":"56b41947-e40e-4af7-ab5f-284096b3edf3","resolution":{"observed_at":"2026-05-09T02:27:21.128686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Hota: A higher order metric for evaluating multi-object tracking.International Journal of Computer Vision","venue":null,"work_id":"0f587e7b-ee9c-4f3a-9681-6dd4a95813c2","year":2021},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:9fe47f815e523f81b90b2874de3f645791733887c9fb44f0f8617b675ef03fcc","observation_id":"fa143d07-dc63-4295-9a39-bcd562863246","resolution":{"observed_at":"2026-05-09T02:27:21.136547Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Npu rgbd dataset and a feature-enhanced lstm-dgcn method for action recognition of basketball players+.Applied Sci- ences","venue":null,"work_id":"42e20ef0-1602-4f6f-a269-4e9c082b1b34","year":2021},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:c43388e127a9a353bb34e84a58d18144fb97a8dcf72b4ff3122b6f7d3f27d781","observation_id":"e52327ba-ae11-48f6-adba-b01c200e0efc","resolution":{"observed_at":"2026-05-09T02:27:21.141638Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A universal protocol to bench- mark camera calibration for sports","venue":null,"work_id":"31700622-24b6-4d4a-b136-cce276757e65","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:6a736bc14af598150145bffc1eb09712a70b6b0bc5e33b0e13e14c9fcbc9cbc2","observation_id":"52fd79a1-96cc-448e-b7e9-ef6b50ca43f6","resolution":{"observed_at":"2026-05-09T02:27:21.147056Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Broadtrack: Broadcast camera tracking for soccer","venue":null,"work_id":"078c1ace-8827-4fa3-8408-4d7ede76bffc","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:5c3f860644aa0a415577bb6a6f8e9be33a740ce156bd29fb36baa957a6c850ce","observation_id":"668c973d-9291-4fd0-8746-2cafbd911077","resolution":{"observed_at":"2026-05-09T02:27:21.154375Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Multi-task learning for joint re-identification, team affiliation, and role classifi- cation for sports visual tracking","venue":null,"work_id":"372f1019-6e2c-44c1-bcb7-a9697b05cc2e","year":2023},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:0187511c9b7a4b44e5c3f9b798279cde06a16b5dd7a671d2a9d9275631bea041","observation_id":"f6456569-0954-43e2-a180-d5fb1ed2f4bf","resolution":{"observed_at":"2026-05-09T02:27:21.158882Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Leapfrog diffusion model for stochastic trajec- tory prediction","venue":null,"work_id":"68d0341e-b8f1-42b9-8996-99f11cf2f3a1","year":2023},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:99be710885d89c760d36f310240c5b23d62d159895b9eb78f668e773466b0210","observation_id":"e1306260-0c56-45c4-bbdc-578163bd0ae0","resolution":{"observed_at":"2026-05-09T02:27:21.163794Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Soccernet- caption: Dense video captioning for soccer broadcasts com- mentaries","venue":null,"work_id":"9f206b41-b711-4875-8225-47270e04e9f6","year":2023},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:42305cac217545ba776861387002129838127e74b44e5ffe5f1de85738e07260","observation_id":"c20c2e4b-d494-4606-a838-6fab4f407077","resolution":{"observed_at":"2026-05-09T02:27:21.169626Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Dinov2: Learning robust visual features without supervision","venue":null,"work_id":"4186f1c7-5a95-482c-a5d4-22824adea5d7","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:6d3769006a85c9cb9feda583fdb8d551b5cd50a741d604b1f8bfa34706515acb","observation_id":"602bd59a-1783-420d-be17-9e24acc857b7","resolution":{"observed_at":"2026-05-09T02:27:21.207371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Basket: A large- scale video dataset for fine-grained skill estimation","venue":null,"work_id":"541acd0a-bcf4-4e7b-b0e4-3074c5cc4266","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:8ffe13882672498dfe49e2775263cb2c58ab7cb4466e3a456e4b62ccc70a4b68","observation_id":"02f03301-c4de-49d4-8199-dff96ff37105","resolution":{"observed_at":"2026-05-09T02:27:21.217497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Bleu: a method for automatic evaluation of machine translation","venue":null,"work_id":"f17cf803-5d1f-4dcc-8241-7ae9d0d63852","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:58b1178e6180b00b6b0076cdd2e9dd717fcf7317ad224342c85b3337f3f58d02","observation_id":"abe13022-7a56-4720-8464-c57fa44cfe4a","resolution":{"observed_at":"2026-05-09T02:27:21.225042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"3b998621-b10a-47a4-9c37-1388fcba69a3","year":2018},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:2f19ab5af5242fcded86ba23795b146cbd909e1423fab94ff60f88504a7e9676","observation_id":"768e26a3-32ff-437a-a0a3-598e55cc3767","resolution":{"observed_at":"2026-05-09T02:27:21.228700Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Goal: A challenging knowledge-grounded video captioning bench- mark for real-time soccer commentary generation","venue":null,"work_id":"533b03ac-6ed5-4aa0-8fcc-adfb98390f59","year":2023},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:2ec01839683c5c182f38282e9fe5889d2c147a6fb672f47094d620b20c07f4d6","observation_id":"bdb8e1a9-b7e1-476c-a753-12af6b219396","resolution":{"observed_at":"2026-05-09T02:27:21.235680Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sports video captioning via attentive motion representation and group relationship modeling.IEEE Transactions on Cir- cuits and Systems for Video Technology","venue":null,"work_id":"44f2bc52-5750-406b-a08e-8f91e657779f","year":2020},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:156d48000d196f77cf3a0bd133a8261b3ad04a44a125245b9a5fe2393e0b1dfb","observation_id":"2007f6b8-841a-4a54-83b4-01233b28efda","resolution":{"observed_at":"2026-05-09T02:27:21.243286Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Learn- ing transferable visual models from natural language super- vision","venue":null,"work_id":"c0539401-8a07-42c8-8bcc-0a876f866ed4","year":2021},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:8e9ba05dfe171f9ce6bbc897c34bd653bd0c0a2c4ba730d7510ff501cd9d92c5","observation_id":"1ec23b91-6d01-4caf-9f6b-c44ea88bfe7b","resolution":{"observed_at":"2026-05-09T02:27:21.247400Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Matchtime: Towards automatic soccer game commentary generation","venue":null,"work_id":"97151f10-e774-4d15-9d3d-dbfbfc652f66","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:5d453dd2f1a12eb41571348c16f3364662c7074bf6674355fceb1af1780f666a","observation_id":"3031375a-fa3b-46a5-ae33-a1d14dd31e7b","resolution":{"observed_at":"2026-05-09T02:27:21.254123Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"351c46eb-743a-4b66-a633-566a5294fe76","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:09b80a54aa9895ac116357541d10435bf10bca23f556c3849d318c6d5eadfc4e","observation_id":"be27b544-b63f-4b54-933a-132e51495173","resolution":{"observed_at":"2026-05-09T02:27:21.262396Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Multi-agent system for comprehensive soccer understanding","venue":null,"work_id":"647e3dc0-04dd-4dc0-bb20-3492a3fc65bb","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:a20fc542f53aab10d2c333c4eccbdcdd00942a62907a8a7246c76c0a1591e10d","observation_id":"59863c4a-d886-433b-b01a-15ed10de199b","resolution":{"observed_at":"2026-05-09T02:27:21.266473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Towards universal soccer video under- standing","venue":null,"work_id":"34c6b5fd-1db1-4053-924d-97ff1ab7dbeb","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:7c49272be95ba2abf4c88612c3296e7275db27ea256e19a1a9861e3161d40699","observation_id":"d88d0d23-c511-491a-b261-3f8543a68c0f","resolution":{"observed_at":"2026-05-09T02:27:21.271503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sam 2: Seg- ment anything in images and videos","venue":null,"work_id":"90eadeba-433d-4e28-8305-97f4575a9a45","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:6a297759d4e9751f6b9efba93e0e9c7f321382c42ecb89006a238b04c7a6b621","observation_id":"73369b4e-dcf6-4247-9ed2-0e71fdb51530","resolution":{"observed_at":"2026-05-09T02:27:21.274775Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Performance measures and a data set for multi-target, multi-camera tracking","venue":null,"work_id":"4597a120-1915-4e80-bb43-df68f91153f2","year":2016},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:f5ae1b49355a979586dbc655519a5af6e3988f8d999eb858873effb16331a412","observation_id":"868c97f9-79b0-4e7d-8255-a01591e037f4","resolution":{"observed_at":"2026-05-09T02:27:21.282349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Finegym: A hierarchical video dataset for fine-grained action understand- ing","venue":null,"work_id":"c65c818e-e7ff-4d63-bdb7-de0c31af848d","year":2020},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:7969a33ea6d72f34f3619775b0afee0a9a5b19ef3f7fa18ff2c03767572f5f5a","observation_id":"0d1c6722-9007-4b9f-a006-2a0d85bf5f66","resolution":{"observed_at":"2026-05-09T02:27:21.287339Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Real-time single image and video super-resolution using an efficient sub-pixel convolutional neural network","venue":null,"work_id":"999a282d-f735-46fc-b82a-066a60088de4","year":2016},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:54fe1391fae6a80babff2d63bb5c75d6d5641afc23e9b2ff8d28e10a3b07518c","observation_id":"6d05b808-a60d-4907-92ab-222b2d78c488","resolution":{"observed_at":"2026-05-09T02:27:21.291334Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.10104","last_updated":"2025-08-13T18:00:55Z","snapshot_observed_at":"2026-07-06T22:12:35.584339Z","submitted_at":"2025-08-13T18:00:55Z","title":"DINOv3","version":1},"cited_work":{"arxiv_id":"2508.10104","doi":"10.1055/a-2487-1252","metadata_source":"pith","pith_arxiv_id":"2508.10104","snapshot_observed_at":"2026-07-11T11:50:26.030339Z","title":"DINOv3","venue":"cs.CV","work_id":"c8b07deb-8fe7-4e18-9620-f3569d3529ce","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"cited_paper":"/paper/2508.10104","citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:37ee51d6422c8e855077edbde1115b4e870a035647e97912e739d3b82fd5582f","observation_id":"160684e0-1ec8-49b0-955b-bd703b05026a","resolution":{"observed_at":"2026-05-09T02:27:20.912025Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Soccernet game state reconstruction: End-to- end athlete tracking and identification on a minimap","venue":null,"work_id":"f491bd14-33f6-44ef-bb48-79d0a9c97996","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:734c3b7b6e03b992a1b0e29caf3c8a7eef8911eb3cbb6329c566e355e590df42","observation_id":"d390cfcd-baeb-4008-8ef7-d755844610bf","resolution":{"observed_at":"2026-05-09T02:27:21.301394Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Computer vision for sports: Current applications and research topics.Computer Vision and Image Understanding","venue":null,"work_id":"774eda27-c973-4333-96f8-c5a258d0be71","year":2017},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:8268bb5fceb69f908a11be78a9fb6825d464c7edf9261119260546169cd4c5c8","observation_id":"0687dc4b-d587-456d-8541-07430701ca04","resolution":{"observed_at":"2026-05-09T02:27:21.305946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14786","last_updated":"2025-02-20T18:08:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-20T18:08:29Z","title":"SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features","version":1},"cited_work":{"arxiv_id":"2502.14786","doi":"10.48550/arxiv.2502.14786","metadata_source":"pith","pith_arxiv_id":"2502.14786","snapshot_observed_at":"2026-07-10T12:15:01.137692Z","title":"SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features","venue":"cs.CV","work_id":"50eec732-2d41-432f-9dcf-ac7fff235ea5","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"cited_paper":"/paper/2502.14786","citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:9524bd5e1f4338ef526078c34f86d6a3c9cdfe54313c8aef14d2dc2020692124","observation_id":"132d41de-be3d-45cf-85fa-b283f6694011","resolution":{"observed_at":"2026-05-10T15:49:22.528931Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-07-10T23:49:08.777694+00:00","source":"crossref_status_cache"},{"observed_at":"2026-07-10T23:49:08.777694+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Semi-supervised training to im- prove player and ball detection in soccer","venue":null,"work_id":"5cf57010-a2c4-4c57-8fd1-11a50c9433fd","year":2022},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:425accffa6203b6ddea846fe91f2a2f6bfd9ba71d6b7ef892cbe29fc0533a2c6","observation_id":"c485509d-9e93-4ea0-8af0-7da2cd68d70d","resolution":{"observed_at":"2026-05-09T02:27:21.313189Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Yolov8: A novel object detection algorithm with enhanced performance and robust- ness","venue":null,"work_id":"2e5cb2ec-151e-4d95-a74b-408c30209be7","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:bd3b48d70b915c5058235c8538b81fa4254d7e5452434ad6da90bc353e5d9ec0","observation_id":"45f0938a-87fd-48e8-bcd3-19d01bd4f028","resolution":{"observed_at":"2026-05-09T02:27:21.320327Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Cider: Consensus-based image description evalua- tion","venue":null,"work_id":"64c2d1df-d6ec-4b57-8210-053355b743b9","year":2015},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:abb637a57bb618962e21d419d7bef15825c6e0e0335afeb10568434c7b082fcd","observation_id":"2e0daad6-f1f8-4022-ab6b-2899ec63b76e","resolution":{"observed_at":"2026-05-09T02:27:21.325650Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Vggt: Vi- sual geometry grounded transformer","venue":null,"work_id":"fdf4613e-ec64-4607-953f-922e6c5e125f","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:5a81f60dc03353cdf009b6c00072052b1e01a0a848142c802c9b58c16e957274","observation_id":"e0bd7184-7ee0-42a1-a544-625a023fee27","resolution":{"observed_at":"2026-05-09T02:27:21.329667Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Tacticai: an ai assistant for football tactics.Nature Commu- nications","venue":null,"work_id":"351e528e-a7be-4182-830b-91cd985380f7","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:54ad195f974a21cf1325b1c9b0ef88154ffef00631b3e070d6e758e5b00d3313","observation_id":"10296bac-06c8-419e-95cb-16d13d985599","resolution":{"observed_at":"2026-05-09T02:27:21.337864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Towards generalist foundation model for radiology by leveraging web-scale 2d&3d medical data","venue":null,"work_id":"155f3ff7-a866-46e4-85a0-11ba7a573a9c","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:90a0fbc410bd85e4d58813208335e0363a782fe4c7b85d9d909334374ff570ba","observation_id":"8c9bd21f-e59c-436e-8108-f0f0c64bfc81","resolution":{"observed_at":"2026-05-09T02:27:21.345343Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sports video analysis on large-scale data","venue":null,"work_id":"5a03b681-1f1d-4cbc-8cd5-39cd277de7f3","year":2022},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:447cb627e9d8e2f829250f8ee0364148b372627c92154bac340901e3b2103e53","observation_id":"5cadf078-38a2-42ce-a49c-06e9e1f3210c","resolution":{"observed_at":"2026-05-09T02:27:21.349753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A simple yet effective knowl- edge guided method for entity-aware video captioning on a basketball benchmark.Neurocomputing","venue":null,"work_id":"31c905fb-3faf-454d-8496-d4da8ffe5ee7","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:c0ab86236d8c2ea70b71aa55281267e81711bb3f4fe975343392a5f459f32ae1","observation_id":"fde5bd53-ab03-436d-baa1-7f26026f8a1c","resolution":{"observed_at":"2026-05-09T02:27:21.355256Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Eika: Explicit & implicit knowledge-augmented network for entity-aware sports video captioning.Expert Systems with Applications","venue":null,"work_id":"be06a004-9858-41d0-b0af-b0ea504447d6","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:a983d7c2c4f42bc577c33c2d4868b1eb85e29deb739b865d52fc55565a733d8f","observation_id":"49a419cd-e88d-4c9e-a29c-997138bd4683","resolution":{"observed_at":"2026-05-09T02:27:21.363298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Player-centric multimodal prompt generation for large lan- guage model based identity-aware basketball video caption- ing","venue":null,"work_id":"265b5b88-d972-4f11-adaa-807e22beea0b","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:c61548f4592c119694a588dc73dd2182075d4aa1ef338e4fc33f9da617525fe5","observation_id":"274272ca-ff95-41c5-92bf-ec67497dc030","resolution":{"observed_at":"2026-05-09T02:27:21.368332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sportqa: A benchmark for sports understanding in large language models","venue":null,"work_id":"95d39e9c-628d-4b12-b1f2-98f951f6293a","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:7bfa36e93898418ccbee82b7cdb541f436058baad6a65cb182f94403508cf55b","observation_id":"ffb028b1-1460-4327-87fa-3a4df374b3c7","resolution":{"observed_at":"2026-05-09T02:27:21.370943Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sportu: A comprehensive sports understanding benchmark for multimodal large language models","venue":null,"work_id":"0686efd0-1881-493d-a074-29f35bba64e1","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:fb20b2b8afced6dbdcfdf2f50cb8bbf567d96406053e72688d35054d511d72a9","observation_id":"e225ce87-c771-46d3-885d-92754a1a65f2","resolution":{"observed_at":"2026-05-09T02:27:21.375841Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Language-guided audio-visual learn- ing for long-term sports assessment","venue":null,"work_id":"4c09957e-1e17-49f0-9823-a75ed53ed24a","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:3ff65cb324aad642a8922ea7271c387ea8ce3618b5bbb9f01ae6202651383c6b","observation_id":"d530a1f2-9284-4c88-ba9b-5871a169d5ca","resolution":{"observed_at":"2026-05-09T02:27:21.387111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Finediving: A fine-grained dataset for procedure-aware action quality assessment","venue":null,"work_id":"e8899738-5b02-445b-bb1f-a7732871dfc7","year":2022},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:357b2145b40d2b5a02385f15147f75c4b1ebc092368846d02c1e10c16dafa039","observation_id":"5b6926dc-2b3c-4c39-877b-75ed02dc314e","resolution":{"observed_at":"2026-05-09T02:27:21.391729Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Depth any- thing v2","venue":null,"work_id":"2380a028-3bdf-43bb-826d-4807f5778bfc","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:1f060a909159c971a6113ad62b40602951ca0c9bb4fae37b152b12f5f51be75b","observation_id":"6e5b824d-b658-4587-acc9-9421c6cfc41a","resolution":{"observed_at":"2026-05-09T02:27:21.398161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Timesoccer: An end-to-end multimodal large language model for soccer commentary generation","venue":null,"work_id":"0cc2dcf0-d9a4-4f1b-a7cb-b0183c066040","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":79,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:4b73582ded682dd63a3530faa85aec387a75ea6c19e62d8c9561caddc63bbec9","observation_id":"e01e3d42-4082-4384-88a1-e2675254c258","resolution":{"observed_at":"2026-05-09T02:27:21.402746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Scaling vision transformers","venue":null,"work_id":"1a46b748-76fc-4d35-87cc-0e84ccd4ce17","year":2022},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":80,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:c43c426ce2760034e10fa50b694d4db80519bd56ec236ff48cf97ce44a39b807","observation_id":"2b5ca47b-9b2c-4456-9c44-3b6ec7ed358f","resolution":{"observed_at":"2026-05-09T02:27:21.407350Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Sigmoid loss for language image pre-training","venue":null,"work_id":"291447d3-7759-4752-a06b-c90a966c8800","year":2023},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:59e7414a1ce2d4069580386b06f5527ee8131cbb67eef74032f8276efb8ee2a4","observation_id":"cf7a4c85-44c9-4be6-b292-f5a218052920","resolution":{"observed_at":"2026-05-09T02:27:21.414259Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":"2511.13326","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Taceleven: generative tactic discovery for football open play","venue":null,"work_id":"760c6825-f991-45cb-87db-bed6bc7c4b5b","year":2025},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:7654883cc5d90eda2058941f591a78849a0273a4f1dfd9dd9357e874bb88e03f","observation_id":"3ea2de20-53de-43c4-a942-a72bbdcd39cb","resolution":{"observed_at":"2026-05-09T02:27:20.856691Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"One trajectory, one token: Grounded video tokenization via panoptic sub-object trajectory","venue":null,"work_id":"762e756e-2624-4c7e-b9d1-acbf95ec8ddf","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:63ffed7cd58572312b8847435f5402e46f4b98f8ed7c9510287ff5a08ba7b406","observation_id":"ca290a15-d3a2-4026-9f4f-194f8a44975c","resolution":{"observed_at":"2026-05-09T02:27:21.430836Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"A knowledge-enhanced pathology vision- language foundation model for cancer diagnosis","venue":null,"work_id":"019db9ef-34c5-4dfe-b0fc-7810806f95d1","year":2024},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":84,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:fa5fd78173fddd6e46309204d1f1767b292e121b7419e5d5b8b9c7439c99ee27","observation_id":"3a23d60f-a10f-43fa-b465-e9732bd27497","resolution":{"observed_at":"2026-05-09T02:27:21.452278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Deformable detr: Deformable transformers for end-to-end object detection.Proceedings of the Interna- tional Conference on Learning Representations","venue":null,"work_id":"afc4f439-4b9b-4ad9-84b6-8b65e36d9066","year":2020},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":85,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:5f3df1db718c6782bd9d7c7df3565be351670659a3b3130e353e258ba78857bd","observation_id":"1d78b4d1-db83-4d37-95b0-7838c390ca51","resolution":{"observed_at":"2026-05-09T02:27:21.470610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"93b6f93b-52cd-4654-999a-ca143ed3d2a9","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":86,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:42586cc92eef62845c658962d744ecfabf59fb6b7877fd4f5f07497e3a634ae0","observation_id":"53d47945-da1c-4ffa-bcf7-799e4e05d090","resolution":{"observed_at":"2026-05-09T02:27:21.478574Z","resolver_source":"raw_fallback","status":"parse_uncertain"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Automated Data Curation Pipeline","venue":null,"work_id":"2c879a85-4ed8-4cba-bb9d-27358e52aff5","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":87,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:5e2ed1c040a245e5369ee5ef999f53fc2d691500cff7e9aa1290fb860c1d6e88","observation_id":"5cb26c6e-0353-4f0a-928e-8488eb89af88","resolution":{"observed_at":"2026-05-09T02:27:21.482706Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Problem Formulation","venue":null,"work_id":"202d21a5-c5a8-4780-a42d-8b30631a5c94","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:c0e5691872aec145e044c8ca9f97d8ca8eb55cbf2f0b05ec3149b4e60b64afd7","observation_id":"7b5fd1d7-eecc-4b04-9ab5-422d8d1c765b","resolution":{"observed_at":"2026-05-09T02:27:21.487014Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"Implementation Details","venue":null,"work_id":"d75818cd-fe81-48bf-91d1-fa9612f18e55","year":null},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:64e847dc339c624075bfbe172f9f86d9cf1c40ade45049eea54defc0d60845c7","observation_id":"00e294a1-2d3d-45d4-a758-7c0de8f441ab","resolution":{"observed_at":"2026-05-09T02:27:21.490728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+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":"2026-06-05T21:23:00.469572Z","title":"athletes","venue":null,"work_id":"2150efc1-4e89-467b-8b0f-6acf1c60b44c","year":1988},"citing_paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding","version":2},"reference_index":90,"source":"pdf_text","source_observed_at":"2026-05-16T23:08:08.584111Z"},"links":{"citing_paper":"/paper/2512.11016"},"observation_digest":"sha256:b0e51f59511501863b877b4e7eaf97cd0147f23e230591548370389104d82a99","observation_id":"0b9acace-36f0-4108-aed5-5025aa8b221c","resolution":{"observed_at":"2026-05-09T02:27:21.496417Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2512.11016","last_updated":"2026-05-07T10:04:34Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-11T18:03:30Z","title":"SoccerMaster: A Vision Foundation Model for Soccer Understanding"},"reference_resolution":{"displayed":90,"state_counts":{"malformed_identifier":1,"metadata_mismatch":3,"parse_uncertain":1,"unresolved":3,"verified_exact":8,"verified_fuzzy":74},"total_outbound_references":90},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 90 of 90 outbound references and 4 inbound Pith citation observations for arXiv:2512.11016."}