{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JL5W5VX4DNHSFKCBPVWLWO6NMW","short_pith_number":"pith:JL5W5VX4","canonical_record":{"source":{"id":"2501.18940","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-31T08:04:32Z","cross_cats_sorted":[],"title_canon_sha256":"e7a899dc8e0d8b3c4c142b9ad0f36594a009af1b5e3380fc2ad5cb0eea927560","abstract_canon_sha256":"c0afd893698e1da32da757e47d35fa4ee394ec0111a69ceab09240262daf39c5"},"schema_version":"1.0"},"canonical_sha256":"4afb6ed6fc1b4f22a8417d6cbb3bcd65ac95ce929e68b1f674fc7a61d79a0171","source":{"kind":"arxiv","id":"2501.18940","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.18940","created_at":"2026-07-05T10:07:53Z"},{"alias_kind":"arxiv_version","alias_value":"2501.18940v1","created_at":"2026-07-05T10:07:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.18940","created_at":"2026-07-05T10:07:53Z"},{"alias_kind":"pith_short_12","alias_value":"JL5W5VX4DNHS","created_at":"2026-07-05T10:07:53Z"},{"alias_kind":"pith_short_16","alias_value":"JL5W5VX4DNHSFKCB","created_at":"2026-07-05T10:07:53Z"},{"alias_kind":"pith_short_8","alias_value":"JL5W5VX4","created_at":"2026-07-05T10:07:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JL5W5VX4DNHSFKCBPVWLWO6NMW","target":"record","payload":{"canonical_record":{"source":{"id":"2501.18940","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-31T08:04:32Z","cross_cats_sorted":[],"title_canon_sha256":"e7a899dc8e0d8b3c4c142b9ad0f36594a009af1b5e3380fc2ad5cb0eea927560","abstract_canon_sha256":"c0afd893698e1da32da757e47d35fa4ee394ec0111a69ceab09240262daf39c5"},"schema_version":"1.0"},"canonical_sha256":"4afb6ed6fc1b4f22a8417d6cbb3bcd65ac95ce929e68b1f674fc7a61d79a0171","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:07:53.802532Z","signature_b64":"yGLEQnBeB3pRDW+4AJ3FeyvYMuU+8Z+VNh/lC18SNVuPtp4/I1m8JoRmdof16xw3Qj4qO6A2cXyXagBJNk6qBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4afb6ed6fc1b4f22a8417d6cbb3bcd65ac95ce929e68b1f674fc7a61d79a0171","last_reissued_at":"2026-07-05T10:07:53.802060Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:07:53.802060Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.18940","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":"2026-07-05T10:07:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"WNozYn6drHmjfwTuHcV88WFoW/Mjz/TwAxCIR+3K4QYOkqwoBI9wks5xiGZAOKHqbMwbSCXLwlCDI3OqNRA0DQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T03:26:28.150866Z"},"content_sha256":"3f99096d4669e1323594618d029123af14ceba4f049a441dce4734e41d89be5a","schema_version":"1.0","event_id":"sha256:3f99096d4669e1323594618d029123af14ceba4f049a441dce4734e41d89be5a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JL5W5VX4DNHSFKCBPVWLWO6NMW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"TV-Dialogue: Crafting Theme-Aware Video Dialogues with Immersive Interaction","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fan Ma, Hehe Fan, Sai Wang, Xinyi Li, Yu Wu","submitted_at":"2025-01-31T08:04:32Z","abstract_excerpt":"Recent advancements in LLMs have accelerated the development of dialogue generation across text and images, yet video-based dialogue generation remains underexplored and presents unique challenges. In this paper, we introduce Theme-aware Video Dialogue Crafting (TVDC), a novel task aimed at generating new dialogues that align with video content and adhere to user-specified themes. We propose TV-Dialogue, a novel multi-modal agent framework that ensures both theme alignment (i.e., the dialogue revolves around the theme) and visual consistency (i.e., the dialogue matches the emotions and behavio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.18940","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/2501.18940/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":"2026-07-05T10:07:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"GuJXCSbIt0njtcoT4MGzAOJw99g3wqogeQIB0STgJAN5WssjvjSpGvAT75gYzpRELF0Oad2UqZ3DgwnNFU2RCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T03:26:28.151467Z"},"content_sha256":"3be8d0db15adff1d4e45d6c986801f2c2898ad6dd5298326d2e50a8f48e5ed3b","schema_version":"1.0","event_id":"sha256:3be8d0db15adff1d4e45d6c986801f2c2898ad6dd5298326d2e50a8f48e5ed3b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JL5W5VX4DNHSFKCBPVWLWO6NMW/bundle.json","state_url":"https://pith.science/pith/JL5W5VX4DNHSFKCBPVWLWO6NMW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JL5W5VX4DNHSFKCBPVWLWO6NMW/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":"2026-08-13T03:26:28Z","links":{"resolver":"https://pith.science/pith/JL5W5VX4DNHSFKCBPVWLWO6NMW","bundle":"https://pith.science/pith/JL5W5VX4DNHSFKCBPVWLWO6NMW/bundle.json","state":"https://pith.science/pith/JL5W5VX4DNHSFKCBPVWLWO6NMW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JL5W5VX4DNHSFKCBPVWLWO6NMW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JL5W5VX4DNHSFKCBPVWLWO6NMW","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":"c0afd893698e1da32da757e47d35fa4ee394ec0111a69ceab09240262daf39c5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-31T08:04:32Z","title_canon_sha256":"e7a899dc8e0d8b3c4c142b9ad0f36594a009af1b5e3380fc2ad5cb0eea927560"},"schema_version":"1.0","source":{"id":"2501.18940","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.18940","created_at":"2026-07-05T10:07:53Z"},{"alias_kind":"arxiv_version","alias_value":"2501.18940v1","created_at":"2026-07-05T10:07:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.18940","created_at":"2026-07-05T10:07:53Z"},{"alias_kind":"pith_short_12","alias_value":"JL5W5VX4DNHS","created_at":"2026-07-05T10:07:53Z"},{"alias_kind":"pith_short_16","alias_value":"JL5W5VX4DNHSFKCB","created_at":"2026-07-05T10:07:53Z"},{"alias_kind":"pith_short_8","alias_value":"JL5W5VX4","created_at":"2026-07-05T10:07:53Z"}],"graph_snapshots":[{"event_id":"sha256:3be8d0db15adff1d4e45d6c986801f2c2898ad6dd5298326d2e50a8f48e5ed3b","target":"graph","created_at":"2026-07-05T10:07:53Z","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/2501.18940/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advancements in LLMs have accelerated the development of dialogue generation across text and images, yet video-based dialogue generation remains underexplored and presents unique challenges. In this paper, we introduce Theme-aware Video Dialogue Crafting (TVDC), a novel task aimed at generating new dialogues that align with video content and adhere to user-specified themes. We propose TV-Dialogue, a novel multi-modal agent framework that ensures both theme alignment (i.e., the dialogue revolves around the theme) and visual consistency (i.e., the dialogue matches the emotions and behavio","authors_text":"Fan Ma, Hehe Fan, Sai Wang, Xinyi Li, Yu Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-31T08:04:32Z","title":"TV-Dialogue: Crafting Theme-Aware Video Dialogues with Immersive Interaction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.18940","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":"sha256:3f99096d4669e1323594618d029123af14ceba4f049a441dce4734e41d89be5a","target":"record","created_at":"2026-07-05T10:07:53Z","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":"c0afd893698e1da32da757e47d35fa4ee394ec0111a69ceab09240262daf39c5","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-31T08:04:32Z","title_canon_sha256":"e7a899dc8e0d8b3c4c142b9ad0f36594a009af1b5e3380fc2ad5cb0eea927560"},"schema_version":"1.0","source":{"id":"2501.18940","kind":"arxiv","version":1}},"canonical_sha256":"4afb6ed6fc1b4f22a8417d6cbb3bcd65ac95ce929e68b1f674fc7a61d79a0171","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4afb6ed6fc1b4f22a8417d6cbb3bcd65ac95ce929e68b1f674fc7a61d79a0171","first_computed_at":"2026-07-05T10:07:53.802060Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:07:53.802060Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"yGLEQnBeB3pRDW+4AJ3FeyvYMuU+8Z+VNh/lC18SNVuPtp4/I1m8JoRmdof16xw3Qj4qO6A2cXyXagBJNk6qBA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:07:53.802532Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.18940","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3f99096d4669e1323594618d029123af14ceba4f049a441dce4734e41d89be5a","sha256:3be8d0db15adff1d4e45d6c986801f2c2898ad6dd5298326d2e50a8f48e5ed3b"],"state_sha256":"c477173721ab2fc1f03987d7970e315b987139489e28e9ae931f4b81a01b46a3"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3LAq0UCf0bV2aRGO2emLD29MAsb+EidNDznVZAAUY/ieD5pK+M4mdVwb+BdzP9oP+6xFpJgzWnxDbPO2//nVBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T03:26:28.154334Z","bundle_sha256":"937c3ddfe5690e7c36244182d9bdc489a1250606ef267ecad1a94d57ea91d99a"}}