{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:NXTWIGK22JLGI3OG56XWELZKLH","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":"619a56b6b447401b8f253a166aa83f1b8f45239d371a4d69182fa9daf26c9b30","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-19T17:57:33Z","title_canon_sha256":"57c37caff42abb69a85ce7463531fe25611cf1fd3f9c8c59074300199a741b31"},"schema_version":"1.0","source":{"id":"2407.14502","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2407.14502","created_at":"2026-07-05T08:46:13Z"},{"alias_kind":"arxiv_version","alias_value":"2407.14502v1","created_at":"2026-07-05T08:46:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2407.14502","created_at":"2026-07-05T08:46:13Z"},{"alias_kind":"pith_short_12","alias_value":"NXTWIGK22JLG","created_at":"2026-07-05T08:46:13Z"},{"alias_kind":"pith_short_16","alias_value":"NXTWIGK22JLGI3OG","created_at":"2026-07-05T08:46:13Z"},{"alias_kind":"pith_short_8","alias_value":"NXTWIGK2","created_at":"2026-07-05T08:46:13Z"}],"graph_snapshots":[{"event_id":"sha256:a3cacdbd4eb09476c0072ebd2d13e5b70e847240aedbbe7b30ee1265df56b188","target":"graph","created_at":"2026-07-05T08:46:13Z","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/2407.14502/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce the Multi-Motion Discrete Diffusion Models (M2D2M), a novel approach for human motion generation from textual descriptions of multiple actions, utilizing the strengths of discrete diffusion models. This approach adeptly addresses the challenge of generating multi-motion sequences, ensuring seamless transitions of motions and coherence across a series of actions. The strength of M2D2M lies in its dynamic transition probability within the discrete diffusion model, which adapts transition probabilities based on the proximity between motion tokens, encouraging mixing between different","authors_text":"Faizan Siddiqui, Hengbo Ma, Hyung-gun Chi, Karthik Ramani, Kwonjoon Lee, Nakul Agarwal, Seunggeun Chi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-19T17:57:33Z","title":"M2D2M: Multi-Motion Generation from Text with Discrete Diffusion Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2407.14502","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:ea11fdb2b3c6e462214eda73ff2c42da195309a79bdc78cd83fd980bfcd73c2e","target":"record","created_at":"2026-07-05T08:46:13Z","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":"619a56b6b447401b8f253a166aa83f1b8f45239d371a4d69182fa9daf26c9b30","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-07-19T17:57:33Z","title_canon_sha256":"57c37caff42abb69a85ce7463531fe25611cf1fd3f9c8c59074300199a741b31"},"schema_version":"1.0","source":{"id":"2407.14502","kind":"arxiv","version":1}},"canonical_sha256":"6de764195ad256646dc6efaf622f2a59d308a995d173be22e3f0c5834be82770","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6de764195ad256646dc6efaf622f2a59d308a995d173be22e3f0c5834be82770","first_computed_at":"2026-07-05T08:46:13.609211Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:46:13.609211Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lrqXoUl1VCvVPC3F6JljYdDxC/kA5hNn542urXsgXPXxUizhfGwOg8GpnHyPXnvZ1PTGLb0WgD3dd7lErAeTBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:46:13.609712Z","signed_message":"canonical_sha256_bytes"},"source_id":"2407.14502","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ea11fdb2b3c6e462214eda73ff2c42da195309a79bdc78cd83fd980bfcd73c2e","sha256:a3cacdbd4eb09476c0072ebd2d13e5b70e847240aedbbe7b30ee1265df56b188"],"state_sha256":"a93b3fcb01030b48aee1f88acf103db5a20d88e9f0549e849b12e1b9e9c821f6"}