{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:W65ZW733BR4UNDDNRI22UMPD5Y","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":"d275a7851aa623321c2a541d3b9d38654a7412f18b9506e74c693fd87d0abeb8","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-06-25T01:26:36Z","title_canon_sha256":"64fc72320978a6cb3aecb0100168cf1db518e07d1d9ff2e582f5e874f444dc12"},"schema_version":"1.0","source":{"id":"2606.26507","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.26507","created_at":"2026-06-26T01:15:33Z"},{"alias_kind":"arxiv_version","alias_value":"2606.26507v1","created_at":"2026-06-26T01:15:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.26507","created_at":"2026-06-26T01:15:33Z"},{"alias_kind":"pith_short_12","alias_value":"W65ZW733BR4U","created_at":"2026-06-26T01:15:33Z"},{"alias_kind":"pith_short_16","alias_value":"W65ZW733BR4UNDDN","created_at":"2026-06-26T01:15:33Z"},{"alias_kind":"pith_short_8","alias_value":"W65ZW733","created_at":"2026-06-26T01:15:33Z"}],"graph_snapshots":[{"event_id":"sha256:7c64e1b074cf6a46c8da66e3c9a6fc86e453d69aa542b086bce6bf0edce61674","target":"graph","created_at":"2026-06-26T01:15:33Z","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/2606.26507/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In recent years, advancements in deep learning and generative models have revolutionized music-driven dance generation. This paper introduces a novel platform, namely DanceDuo, leveraging diffusion models to generate AI-choreographed dance sequences synchronized with a variety of music genres, to encourage dancing practice. The system allows users to interact with AI by selecting music tracks, humanoid models, and importing personal dance videos for comparison, fostering a rich and engaging user experience. DanceDuo not only offers dance generation but also integrates human pose estimation mod","authors_text":"Gia-Cat Bui-Le, Hai-Dang Nguyen, Trung-Nghia Le, Tuong-Vy Truong-Thuy","cross_cats":["cs.CV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-06-25T01:26:36Z","title":"DanceDuo: Bridging Human Movement and AI Choreography"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.26507","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":"sha256:3116d763bf126e1b1793ae95ff58c863e78d4d9372585f6969f61795998b8000","target":"record","created_at":"2026-06-26T01:15:33Z","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":"d275a7851aa623321c2a541d3b9d38654a7412f18b9506e74c693fd87d0abeb8","cross_cats_sorted":["cs.CV"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-06-25T01:26:36Z","title_canon_sha256":"64fc72320978a6cb3aecb0100168cf1db518e07d1d9ff2e582f5e874f444dc12"},"schema_version":"1.0","source":{"id":"2606.26507","kind":"arxiv","version":1}},"canonical_sha256":"b7bb9b7f7b0c79468c6d8a35aa31e3ee1a549dcc0d95b4a1347e632662dbef55","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b7bb9b7f7b0c79468c6d8a35aa31e3ee1a549dcc0d95b4a1347e632662dbef55","first_computed_at":"2026-06-26T01:15:33.039215Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-26T01:15:33.039215Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"c0hdM+vgv/3NzPdJQubjqiQceFjxC1cLxTXGaITwyC030NXIwEgKfdLXeePPVPfDxbK4oKkb2icLqsbiYIvOBQ==","signature_status":"signed_v1","signed_at":"2026-06-26T01:15:33.039596Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.26507","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3116d763bf126e1b1793ae95ff58c863e78d4d9372585f6969f61795998b8000","sha256:7c64e1b074cf6a46c8da66e3c9a6fc86e453d69aa542b086bce6bf0edce61674"],"state_sha256":"bdfa536b187f608d46faa7a7ce1b8b31965dd22434493f90763f8e24d10e315c"}