{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:TVNRIUC5H5AKDHERQGIXLZ7XJL","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":"19459b0748186dcd8235b99a0c932ad3d560ca5885a252bf05417e95d840dff2","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-09T01:31:02Z","title_canon_sha256":"e6e1c1071499023d5e658e7123d9fe06255697fa762e36e1e62398bdc3bb425a"},"schema_version":"1.0","source":{"id":"2505.05714","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2505.05714","created_at":"2026-07-05T11:00:46Z"},{"alias_kind":"arxiv_version","alias_value":"2505.05714v1","created_at":"2026-07-05T11:00:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.05714","created_at":"2026-07-05T11:00:46Z"},{"alias_kind":"pith_short_12","alias_value":"TVNRIUC5H5AK","created_at":"2026-07-05T11:00:46Z"},{"alias_kind":"pith_short_16","alias_value":"TVNRIUC5H5AKDHER","created_at":"2026-07-05T11:00:46Z"},{"alias_kind":"pith_short_8","alias_value":"TVNRIUC5","created_at":"2026-07-05T11:00:46Z"}],"graph_snapshots":[{"event_id":"sha256:5799da4da54484af91fd4d74c12bc76c138f829c4a894a6c4cd174019972cabb","target":"graph","created_at":"2026-07-05T11:00:46Z","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/2505.05714/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Most existing multimodal machine translation (MMT) datasets are predominantly composed of static images or short video clips, lacking extensive video data across diverse domains and topics. As a result, they fail to meet the demands of real-world MMT tasks, such as documentary translation. In this study, we developed TopicVD, a topic-based dataset for video-supported multimodal machine translation of documentaries, aiming to advance research in this field. We collected video-subtitle pairs from documentaries and categorized them into eight topics, such as economy and nature, to facilitate rese","authors_text":"Jian Chen, JinZe Lv, XiangHua Fu, Yin Chen, Zi Long","cross_cats":[],"headline":"","license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-09T01:31:02Z","title":"TopicVD: A Topic-Based Dataset of Video-Guided Multimodal Machine Translation for Documentaries"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.05714","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":"sha256:7ce737143bcde86026e73f38f93c8587ca7d015604fd31ce92c07946e252ac7d","target":"record","created_at":"2026-07-05T11:00:46Z","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":"19459b0748186dcd8235b99a0c932ad3d560ca5885a252bf05417e95d840dff2","cross_cats_sorted":[],"license":"http://creativecommons.org/publicdomain/zero/1.0/","primary_cat":"cs.CL","submitted_at":"2025-05-09T01:31:02Z","title_canon_sha256":"e6e1c1071499023d5e658e7123d9fe06255697fa762e36e1e62398bdc3bb425a"},"schema_version":"1.0","source":{"id":"2505.05714","kind":"arxiv","version":1}},"canonical_sha256":"9d5b14505d3f40a19c91819175e7f74add509c9ff47eb3b562525e40bf43e2d5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d5b14505d3f40a19c91819175e7f74add509c9ff47eb3b562525e40bf43e2d5","first_computed_at":"2026-07-05T11:00:46.342088Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:00:46.342088Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"otyR10/G+cGw1QbuYji1WlXC5sQL+IsU6UO3qMMMO/vvClAwD0ZmMDjnddhovNHr5dQYykwvEPpQQ8d/2gf7DQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:00:46.342759Z","signed_message":"canonical_sha256_bytes"},"source_id":"2505.05714","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7ce737143bcde86026e73f38f93c8587ca7d015604fd31ce92c07946e252ac7d","sha256:5799da4da54484af91fd4d74c12bc76c138f829c4a894a6c4cd174019972cabb"],"state_sha256":"bc746d64a8d68ef9714bf0a0f554bb87a503010bba113ff3a23ade1f4abb2141"}