{"as_of":"2026-07-31T21:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d7438c0481f22677502619fa20e7b570019fa538cccb512c44f4468336ddb7c3","coverage":[{"denominator":22,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":22,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-14T07:49:34.639380Z","state":"measured"},{"denominator":22,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":22,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-07-31T06:34:12.847434+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.10990/citation-record","integrity":"/paper/2607.10990/integrity","json":"/paper/2607.10990/citation-record.json","paper":"/paper/2607.10990"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Visual question answering: A survey of methods and datasets,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:4ad10a6918a00d740655411d209e8abd022b34c6428f8b02f5a17c0c821815a5","observation_id":"384f86ae-f991-4ba4-bcec-6a7ae5692c4e","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Multi-agent system for comprehensive soccer understanding,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:9322e89f590bc70292a16e8908d0753179c8bedacd8c9748269cebdbbbc5b8f2","observation_id":"73fc82b1-0471-4ad2-805d-1c49a97cc232","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"X-vars: Introducing explainability in football refereeing with multi-modal large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:3bcee1f2eb18aa76831469f7e6a09959204dc127fe7bacfccc9eed8c53e05c6e","observation_id":"982af858-a404-4b41-8965-b51d3028553c","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Towards universal soccer video understand- ing,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:9d6318dd25b8662e4086d55e71fd6cc7e2d2d1a3b5a4f9b7fff0b348693d23a1","observation_id":"6cc7fd2a-04d2-434d-aab0-d2f4822191b8","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Understanding the limits of vision language models through the lens of the binding problem,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:62a5091b45edfb1240b9f7b93f7c608a8aabd09284c2d72479971b2ab8793a13","observation_id":"843a5c30-b2e4-41f3-a437-08b71815cce7","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"A systematic review of vision language models: Comprehensive analysis of architectures, applications, datasets and challenges towards robust multimodal intelligence,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:80cbfb2fefa463b4fc3c2b22ea37258263df780df549dd69ba3c9af0ddcd65d3","observation_id":"67f193ae-ca49-435a-a0a9-c3ed71bc2867","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Domain adaptation of vlm for soccer video understanding,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:cf0ff8ae07ef6a9490dc5402f7f41fb43344c1951145786e5fba0e560b7898bd","observation_id":"f4ea5f6a-d284-4215-af1c-8c980c3f9938","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Large scale holistic video understanding,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:638c2a5076423c67135502bb3f8894900f9cc2eec1ac791c7701066c0fa346dc","observation_id":"65c0cf99-1f12-4ba7-a23d-05405fd9c1f2","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Tracking the limits of knowledge propagation: How LLMs fail at multi-step reasoning with conflicting knowledge,","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:eaac74f8e3d4a89f1051f2d3ec07780119539e5c9f750f87b3a7e1aa07eedc34","observation_id":"2c770aa7-58ac-4a0a-9da7-b1fe7aabd808","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Toolvqa: A dataset for multi-step reasoning vqa with external tools,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:63958124ab7261eb42d69158b95c0abf1cae341b9a68398891399b0af4641258","observation_id":"dcfb570f-dce0-4124-b89d-c811458d072a","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Yolo26: key architectural enhancements and performance benchmarking for real-time object detection,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:d54cad1b528e9cdbb3faee4fca40e524e478fcb58e804f958584fe3159ee420d","observation_id":"776653cf-8e69-4318-9813-de9cbe69d701","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Multi-task learning for joint re- identification, team affiliation, and role classification for sports visual tracking,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:6e432bcbf1d333210a504d0824880b3dd42b9437f7a60f3b8582ec238cfb2f97","observation_id":"45fc81e6-9be3-40a0-a5d7-c49e09293d14","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Soccernet-caption: Dense video captioning for soccer broadcasts commentaries,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:630fdb41fcad58496f14a62ab7076720cf59fa770e149890a494e12d59d42ad9","observation_id":"e5bbe837-a48b-4e6a-81a2-6f06533e58ee","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Next-qa: Next phase of question-answering to explaining temporal actions,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:24e524ae1b35af0c39ec7eda2e6935ee5e969a1d29d4a0a188efea23f4d57065","observation_id":"10f5f4e0-9467-4f7c-a002-f2f49ab29f1d","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Vars: Video assistant referee system for automated soccer decision making from multiple views,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:61a6bacce83452de66b8415435c14ab4cc13eac472c2dd1e5392f5eb7ca9c32e","observation_id":"15f4974e-0567-4347-b1b9-b3b2fbca05bc","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.01802","last_updated":"2025-08-03T15:38:59Z","snapshot_observed_at":"2026-07-06T22:07:02.782730Z","submitted_at":"2025-08-03T15:38:59Z","title":"SoccerTrack v2: A Full-Pitch Multi-View Soccer Dataset for Game State Reconstruction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.01802","snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Soccertrack v2: A full-pitch multi-view soccer dataset for game state reconstruction,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"cited_paper":"/paper/2508.01802","citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:6af32b6e8481134477c905bbfe8804cbfa1f3179dfefc49ee61f2edd663c4fc6","observation_id":"9609cc56-517c-479e-b906-220f8ba5517a","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Soccernet-tracking: Multiple object tracking dataset and benchmark in soccer videos,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:0f8271b5c2177c189410f653cb205f1b83a05743065464e9fdddba8810238b68","observation_id":"aaefa31e-6489-4c9e-a507-58230957387e","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Efficient memory management for large language model serving with pagedattention,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:9609de2740a2380b12dd7d37ea4e0742caa58f42b661b0177b5747cfc02757b0","observation_id":"6362f809-4811-42cb-aa91-531ba86a2d4b","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02713","last_updated":"2025-08-01T16:40:14Z","snapshot_observed_at":"2026-07-06T19:27:11.995338Z","submitted_at":"2024-10-03T17:36:49Z","title":"LLaVA-Video: Video Instruction Tuning With Synthetic Data","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02713","snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Llava-video: Video instruction tuning with synthetic data,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"cited_paper":"/paper/2410.02713","citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:68dd47aac2351e614d402d98503e5a2043c72f0ad23718128a394dc40faf6598","observation_id":"33ecd0b0-b0c9-4065-9fb5-aeb25ba4f95b","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.11066","last_updated":"2024-11-17T13:08:29Z","snapshot_observed_at":"2026-07-06T19:51:37.262377Z","submitted_at":"2024-11-17T13:08:29Z","title":"TS-LLaVA: Constructing Visual Tokens through Thumbnail-and-Sampling for Training-Free Video Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.11066","snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Ts-llava: Constructing visual tokens through thumbnail- and-sampling for training-free video large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"cited_paper":"/paper/2411.11066","citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:d14aa1c6083e4cb99783af65f4c6b064a45ab19a32d0b681bd9089c5d050ea3e","observation_id":"6464f441-c331-49fd-ad4d-a67d7c43f29b","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Videoagent: Long-form video understanding with large language model as agent,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:a5f6bb0fe842651dd3619f1ece937b5fabe3a109f5729ead04e4c1791f2cbe47","observation_id":"a695dbe7-c44a-4215-9d0f-c36e0507134c","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-14T07:49:34.639380Z","title":"Morevqa: Exploring modular reasoning models for video question answering,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-07-14T07:49:34.639380Z"},"links":{"citing_paper":"/paper/2607.10990"},"observation_digest":"sha256:757cff5dbc30d380f81f0b2d6b431a33041caf70407bce3289f5f9d314de6906","observation_id":"bbe3b080-8103-49cc-b018-0f6bbc6f6719","resolution":{"observed_at":"2026-07-14T07:49:34.639380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.10990","last_updated":"2026-07-13T01:27:20Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-16T23:19:07.982168Z","submitted_at":"2026-07-13T01:27:20Z","title":"TreeSoc: Tree-Structured Dynamic Reasoning and Tool Synergy for Soccer Video Understanding"},"reference_resolution":{"displayed":22,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":22},"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":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"thesis":"As of 31 July 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2607.10990."}