{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:CANLAJO5BE2QB6ZZLQIWTILIT7","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":"39e74f15a8dbf1db0e8fd9ea768fce6c1ba007c01a2932e965197c33113564fe","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-10T14:38:00Z","title_canon_sha256":"f868eed244f2988edf9959ffb92f2462b35ed5a4f2d4ec3bfee81932e9a20c3e"},"schema_version":"1.0","source":{"id":"2503.07390","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.07390","created_at":"2026-07-05T10:36:37Z"},{"alias_kind":"arxiv_version","alias_value":"2503.07390v3","created_at":"2026-07-05T10:36:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.07390","created_at":"2026-07-05T10:36:37Z"},{"alias_kind":"pith_short_12","alias_value":"CANLAJO5BE2Q","created_at":"2026-07-05T10:36:37Z"},{"alias_kind":"pith_short_16","alias_value":"CANLAJO5BE2QB6ZZ","created_at":"2026-07-05T10:36:37Z"},{"alias_kind":"pith_short_8","alias_value":"CANLAJO5","created_at":"2026-07-05T10:36:37Z"}],"graph_snapshots":[{"event_id":"sha256:b37d43cc5f4485e8099e850a535ba153c3e88fac5b68fa9ba3e6ac5535378d6d","target":"graph","created_at":"2026-07-05T10:36:37Z","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/2503.07390/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper introduces Motion Personalization, a new task that generates personalized motions aligned with text descriptions using several basic motions containing Persona. To support this novel task, we introduce a new large-scale motion dataset called PerMo (PersonaMotion), which captures the unique personas of multiple actors. We also propose a multi-modal finetuning method of a pretrained motion diffusion model called PersonaBooth. PersonaBooth addresses two main challenges: i) A significant distribution gap between the persona-focused PerMo dataset and the pretraining datasets, which lack ","authors_text":"Boeun Kim, Hea In Jeong, Hyung Jin Chang, Jeongmin Lee, Jungho Kim, JungHoon Sung, Ju Yong Chang, Saim Shin, Sang-Il Choi, Yihua Cheng, Younggeun Choi","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-10T14:38:00Z","title":"PersonaBooth: Personalized Text-to-Motion Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.07390","kind":"arxiv","version":3},"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":"sha256:9df43f382abb3a5e2b5477ec694e2314c6f6486ed0a8a920ba3edcee91ce72a6","target":"record","created_at":"2026-07-05T10:36:37Z","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":"39e74f15a8dbf1db0e8fd9ea768fce6c1ba007c01a2932e965197c33113564fe","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-10T14:38:00Z","title_canon_sha256":"f868eed244f2988edf9959ffb92f2462b35ed5a4f2d4ec3bfee81932e9a20c3e"},"schema_version":"1.0","source":{"id":"2503.07390","kind":"arxiv","version":3}},"canonical_sha256":"101ab025dd093500fb395c1169a1689ffec5601d00b9b31edc29495adf8d168f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"101ab025dd093500fb395c1169a1689ffec5601d00b9b31edc29495adf8d168f","first_computed_at":"2026-07-05T10:36:37.812162Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:36:37.812162Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V3GB1Q0HVYI88o/zdAQ17stGM21xXJ6aMYjc2fIRR/btki8NVdY4htvSanHeFyT3L853Md2Q9ByWGdKoIc7SAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:36:37.812762Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.07390","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9df43f382abb3a5e2b5477ec694e2314c6f6486ed0a8a920ba3edcee91ce72a6","sha256:b37d43cc5f4485e8099e850a535ba153c3e88fac5b68fa9ba3e6ac5535378d6d"],"state_sha256":"e9e1bcd877bb815a23761349186b57eeb264aecb5138176b8785b9235e439c0e"}