{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:3665RRTIX453WHV42WE2SCUNWU","short_pith_number":"pith:3665RRTI","schema_version":"1.0","canonical_sha256":"dfbdd8c668bf3bbb1ebcd589a90a8db511fa8741e9cbd4cc992a455cebf3c021","source":{"kind":"arxiv","id":"2507.20163","version":1},"attestation_state":"computed","paper":{"title":"Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changwen Chen, Haoran Zhang, Haoying Sun, Junchi Yan, Liang Wang, Lifang Wu, Yaofei Wu, Zeyu Xi","submitted_at":"2025-07-27T07:30:56Z","abstract_excerpt":"Existing sports video captioning methods often focus on the action yet overlook player identities, limiting their applicability. Although some methods integrate extra information to generate identity-aware descriptions, the player identities are sometimes incorrect because the extra information is independent of the video content. This paper proposes a player-centric multimodal prompt generation network for identity-aware sports video captioning (LLM-IAVC), which focuses on recognizing player identities from a visual perspective. Specifically, an identity-related information extraction module "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2507.20163","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-27T07:30:56Z","cross_cats_sorted":[],"title_canon_sha256":"2794a2f246b4d5caafd8c9914ced56493306a1537ed83fe83f3fb7a045e1eca7","abstract_canon_sha256":"1962b80a7b5fc095782e0169ae4c80690e18d5a1f5f2780fc1248326337f32b2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:44:14.464302Z","signature_b64":"ekDjPdV2xcYzN8a68yOqXXJ7/GxD67pUpyluMvHWwpXG18xNvxB0H+aX42isT1OHGIdH1Khoxt7rKNjdObpfAw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dfbdd8c668bf3bbb1ebcd589a90a8db511fa8741e9cbd4cc992a455cebf3c021","last_reissued_at":"2026-07-05T11:44:14.463851Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:44:14.463851Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Player-Centric Multimodal Prompt Generation for Large Language Model Based Identity-Aware Basketball Video Captioning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changwen Chen, Haoran Zhang, Haoying Sun, Junchi Yan, Liang Wang, Lifang Wu, Yaofei Wu, Zeyu Xi","submitted_at":"2025-07-27T07:30:56Z","abstract_excerpt":"Existing sports video captioning methods often focus on the action yet overlook player identities, limiting their applicability. Although some methods integrate extra information to generate identity-aware descriptions, the player identities are sometimes incorrect because the extra information is independent of the video content. This paper proposes a player-centric multimodal prompt generation network for identity-aware sports video captioning (LLM-IAVC), which focuses on recognizing player identities from a visual perspective. Specifically, an identity-related information extraction module "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.20163","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.20163/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"2507.20163","created_at":"2026-07-05T11:44:14.463915+00:00"},{"alias_kind":"arxiv_version","alias_value":"2507.20163v1","created_at":"2026-07-05T11:44:14.463915+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.20163","created_at":"2026-07-05T11:44:14.463915+00:00"},{"alias_kind":"pith_short_12","alias_value":"3665RRTIX453","created_at":"2026-07-05T11:44:14.463915+00:00"},{"alias_kind":"pith_short_16","alias_value":"3665RRTIX453WHV4","created_at":"2026-07-05T11:44:14.463915+00:00"},{"alias_kind":"pith_short_8","alias_value":"3665RRTI","created_at":"2026-07-05T11:44:14.463915+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/3665RRTIX453WHV42WE2SCUNWU","json":"https://pith.science/pith/3665RRTIX453WHV42WE2SCUNWU.json","graph_json":"https://pith.science/api/pith-number/3665RRTIX453WHV42WE2SCUNWU/graph.json","events_json":"https://pith.science/api/pith-number/3665RRTIX453WHV42WE2SCUNWU/events.json","paper":"https://pith.science/paper/3665RRTI"},"agent_actions":{"view_html":"https://pith.science/pith/3665RRTIX453WHV42WE2SCUNWU","download_json":"https://pith.science/pith/3665RRTIX453WHV42WE2SCUNWU.json","view_paper":"https://pith.science/paper/3665RRTI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2507.20163&json=true","fetch_graph":"https://pith.science/api/pith-number/3665RRTIX453WHV42WE2SCUNWU/graph.json","fetch_events":"https://pith.science/api/pith-number/3665RRTIX453WHV42WE2SCUNWU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/3665RRTIX453WHV42WE2SCUNWU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/3665RRTIX453WHV42WE2SCUNWU/action/storage_attestation","attest_author":"https://pith.science/pith/3665RRTIX453WHV42WE2SCUNWU/action/author_attestation","sign_citation":"https://pith.science/pith/3665RRTIX453WHV42WE2SCUNWU/action/citation_signature","submit_replication":"https://pith.science/pith/3665RRTIX453WHV42WE2SCUNWU/action/replication_record"}},"created_at":"2026-07-05T11:44:14.463915+00:00","updated_at":"2026-07-05T11:44:14.463915+00:00"}