{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CKR35S2QUVDFYE5ZOYWVJCT35M","short_pith_number":"pith:CKR35S2Q","canonical_record":{"source":{"id":"2412.20964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-30T14:09:15Z","cross_cats_sorted":[],"title_canon_sha256":"94e1c96cef9f0a2960f4cb08cabcbc78d9dde22b553979dd0517e0333bbe63c9","abstract_canon_sha256":"fcf1d7afd3eaa5503c5c8788125077388aaf8418487f968e3eb4c863acaf1a7b"},"schema_version":"1.0"},"canonical_sha256":"12a3becb50a5465c13b9762d548a7beb21a42e683a7fa7f4cf9fcb1820a3d109","source":{"kind":"arxiv","id":"2412.20964","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20964","created_at":"2026-07-05T09:55:29Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20964v1","created_at":"2026-07-05T09:55:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20964","created_at":"2026-07-05T09:55:29Z"},{"alias_kind":"pith_short_12","alias_value":"CKR35S2QUVDF","created_at":"2026-07-05T09:55:29Z"},{"alias_kind":"pith_short_16","alias_value":"CKR35S2QUVDFYE5Z","created_at":"2026-07-05T09:55:29Z"},{"alias_kind":"pith_short_8","alias_value":"CKR35S2Q","created_at":"2026-07-05T09:55:29Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CKR35S2QUVDFYE5ZOYWVJCT35M","target":"record","payload":{"canonical_record":{"source":{"id":"2412.20964","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-30T14:09:15Z","cross_cats_sorted":[],"title_canon_sha256":"94e1c96cef9f0a2960f4cb08cabcbc78d9dde22b553979dd0517e0333bbe63c9","abstract_canon_sha256":"fcf1d7afd3eaa5503c5c8788125077388aaf8418487f968e3eb4c863acaf1a7b"},"schema_version":"1.0"},"canonical_sha256":"12a3becb50a5465c13b9762d548a7beb21a42e683a7fa7f4cf9fcb1820a3d109","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:55:29.843395Z","signature_b64":"Bu0TxMoAbIuY8OxjxchkhFtJJNeVqjFQA4Cn+zghjYlhXv4r9gPjyRqJgy7ahxiVW7mk2h1B1LTgeDbgrMocAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12a3becb50a5465c13b9762d548a7beb21a42e683a7fa7f4cf9fcb1820a3d109","last_reissued_at":"2026-07-05T09:55:29.842975Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:55:29.842975Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.20964","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:55:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"soOsScKAyRoagR5RWg2+uWmRhJU2jeK0KK95SclVTBRJmmqsRHUBJnMJSFyxP+hHGya0IvL9YHvjV5YbNcoTDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T01:57:23.394843Z"},"content_sha256":"e51235fea798ef7c10b68e4d60355a28499c7afb2cffe3a6b6e83756bc00abf4","schema_version":"1.0","event_id":"sha256:e51235fea798ef7c10b68e4d60355a28499c7afb2cffe3a6b6e83756bc00abf4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CKR35S2QUVDFYE5ZOYWVJCT35M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hierarchical Banzhaf Interaction for General Video-Language Representation Learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Hao Li, Jie Chen, Li Yuan, Peng Jin, Shuicheng Yan","submitted_at":"2024-12-30T14:09:15Z","abstract_excerpt":"Multimodal representation learning, with contrastive learning, plays an important role in the artificial intelligence domain. As an important subfield, video-language representation learning focuses on learning representations using global semantic interactions between pre-defined video-text pairs. However, to enhance and refine such coarse-grained global interactions, more detailed interactions are necessary for fine-grained multimodal learning. In this study, we introduce a new approach that models video-text as game players using multivariate cooperative game theory to handle uncertainty du"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20964","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/2412.20964/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:55:29Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QkiIHR4fp3as5cEcZap4mXfGxcC+5qAgVLN9xBvG/BC7R9/Wh9RTawdFnuXbrBl/gPf41mQvgHFCSnf0UQkwDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T01:57:23.395878Z"},"content_sha256":"287ceeb667b171f2eb9319c4b61c8dce4533aa677b1b00414399d625ac483ef3","schema_version":"1.0","event_id":"sha256:287ceeb667b171f2eb9319c4b61c8dce4533aa677b1b00414399d625ac483ef3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CKR35S2QUVDFYE5ZOYWVJCT35M/bundle.json","state_url":"https://pith.science/pith/CKR35S2QUVDFYE5ZOYWVJCT35M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CKR35S2QUVDFYE5ZOYWVJCT35M/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-13T01:57:23Z","links":{"resolver":"https://pith.science/pith/CKR35S2QUVDFYE5ZOYWVJCT35M","bundle":"https://pith.science/pith/CKR35S2QUVDFYE5ZOYWVJCT35M/bundle.json","state":"https://pith.science/pith/CKR35S2QUVDFYE5ZOYWVJCT35M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CKR35S2QUVDFYE5ZOYWVJCT35M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CKR35S2QUVDFYE5ZOYWVJCT35M","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"fcf1d7afd3eaa5503c5c8788125077388aaf8418487f968e3eb4c863acaf1a7b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-30T14:09:15Z","title_canon_sha256":"94e1c96cef9f0a2960f4cb08cabcbc78d9dde22b553979dd0517e0333bbe63c9"},"schema_version":"1.0","source":{"id":"2412.20964","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.20964","created_at":"2026-07-05T09:55:29Z"},{"alias_kind":"arxiv_version","alias_value":"2412.20964v1","created_at":"2026-07-05T09:55:29Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.20964","created_at":"2026-07-05T09:55:29Z"},{"alias_kind":"pith_short_12","alias_value":"CKR35S2QUVDF","created_at":"2026-07-05T09:55:29Z"},{"alias_kind":"pith_short_16","alias_value":"CKR35S2QUVDFYE5Z","created_at":"2026-07-05T09:55:29Z"},{"alias_kind":"pith_short_8","alias_value":"CKR35S2Q","created_at":"2026-07-05T09:55:29Z"}],"graph_snapshots":[{"event_id":"sha256:287ceeb667b171f2eb9319c4b61c8dce4533aa677b1b00414399d625ac483ef3","target":"graph","created_at":"2026-07-05T09:55:29Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2412.20964/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal representation learning, with contrastive learning, plays an important role in the artificial intelligence domain. As an important subfield, video-language representation learning focuses on learning representations using global semantic interactions between pre-defined video-text pairs. However, to enhance and refine such coarse-grained global interactions, more detailed interactions are necessary for fine-grained multimodal learning. In this study, we introduce a new approach that models video-text as game players using multivariate cooperative game theory to handle uncertainty du","authors_text":"Hao Li, Jie Chen, Li Yuan, Peng Jin, Shuicheng Yan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-30T14:09:15Z","title":"Hierarchical Banzhaf Interaction for General Video-Language Representation Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.20964","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:e51235fea798ef7c10b68e4d60355a28499c7afb2cffe3a6b6e83756bc00abf4","target":"record","created_at":"2026-07-05T09:55:29Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"fcf1d7afd3eaa5503c5c8788125077388aaf8418487f968e3eb4c863acaf1a7b","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-12-30T14:09:15Z","title_canon_sha256":"94e1c96cef9f0a2960f4cb08cabcbc78d9dde22b553979dd0517e0333bbe63c9"},"schema_version":"1.0","source":{"id":"2412.20964","kind":"arxiv","version":1}},"canonical_sha256":"12a3becb50a5465c13b9762d548a7beb21a42e683a7fa7f4cf9fcb1820a3d109","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12a3becb50a5465c13b9762d548a7beb21a42e683a7fa7f4cf9fcb1820a3d109","first_computed_at":"2026-07-05T09:55:29.842975Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:55:29.842975Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Bu0TxMoAbIuY8OxjxchkhFtJJNeVqjFQA4Cn+zghjYlhXv4r9gPjyRqJgy7ahxiVW7mk2h1B1LTgeDbgrMocAg==","signature_status":"signed_v1","signed_at":"2026-07-05T09:55:29.843395Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.20964","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e51235fea798ef7c10b68e4d60355a28499c7afb2cffe3a6b6e83756bc00abf4","sha256:287ceeb667b171f2eb9319c4b61c8dce4533aa677b1b00414399d625ac483ef3"],"state_sha256":"b867f23f60744fdadb62e7e54177c8d0fcff195e8b6b1912f8ab76c57421e122"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QxHaf2jI+zVS6NvuITU34xdj9zXr/WE150KBYl+w0wrZK0e5oTULevb9nJc45CJGs2KjSwNVnAbEUroCnAQ9Bg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T01:57:23.404626Z","bundle_sha256":"4e4d30bc409c567824081ead03a75231c8097de1c34187645f7289e60bf10431"}}