{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:EB6XAJ3IJ2BEL7KEF7JYB3OF3L","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":"47c4157812991845cca2be3d8d51ca3b2420ea57e7292be4ba528e80d6d4ba6c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-30T03:45:34Z","title_canon_sha256":"00dd6ab3c0b2561aa83eff6bcb2839c978d4b6c023ab887ba599b72e6a9ad271"},"schema_version":"1.0","source":{"id":"2607.27634","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.27634","created_at":"2026-07-31T01:28:44Z"},{"alias_kind":"arxiv_version","alias_value":"2607.27634v1","created_at":"2026-07-31T01:28:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27634","created_at":"2026-07-31T01:28:44Z"},{"alias_kind":"pith_short_12","alias_value":"EB6XAJ3IJ2BE","created_at":"2026-07-31T01:28:44Z"},{"alias_kind":"pith_short_16","alias_value":"EB6XAJ3IJ2BEL7KE","created_at":"2026-07-31T01:28:44Z"},{"alias_kind":"pith_short_8","alias_value":"EB6XAJ3I","created_at":"2026-07-31T01:28:44Z"}],"graph_snapshots":[{"event_id":"sha256:4ad19765ee51f8fd273d1919ec9ff52a9149aac5633454531bda1704660ee940","target":"graph","created_at":"2026-07-31T01:28:44Z","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/2607.27634/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Generating high-quality 360-degree dynamic human assets from text prompts is challenging. Existing methods usually synthesize monocular or multi-view videos first and then fit a 4D representation, which is expensive and often causes incomplete geometry or view-inconsistent renderings. We present 4DHumanDiff, a diffusion framework that directly generates dynamic humans represented by 4D Gaussian Splatting (4DGS) from text prompts. By modeling the structured 4D representation space end-to-end, 4DHumanDiff avoids video pre-generation and per-scene reconstruction, making it better suited for view-","authors_text":"Haoran Chen, Hui Li, Renlong Wu, Wangmeng Zuo, Xiaowei Jin, Yuxiang Wei","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-30T03:45:34Z","title":"4DHumanDiff: Direct Text-to-4DGS Generation for Consistent 360-Degree Dynamic Humans"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27634","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":"sha256:7687a7015730604b3216ebc9f9b4a7c3cff1af8dfa81563eb386163cbcd167e8","target":"record","created_at":"2026-07-31T01:28:44Z","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":"47c4157812991845cca2be3d8d51ca3b2420ea57e7292be4ba528e80d6d4ba6c","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-30T03:45:34Z","title_canon_sha256":"00dd6ab3c0b2561aa83eff6bcb2839c978d4b6c023ab887ba599b72e6a9ad271"},"schema_version":"1.0","source":{"id":"2607.27634","kind":"arxiv","version":1}},"canonical_sha256":"207d7027684e8245fd442fd380edc5daf04424554c8d091b694fc6f6c53f27bf","receipt":{"builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"207d7027684e8245fd442fd380edc5daf04424554c8d091b694fc6f6c53f27bf","first_computed_at":"2026-07-31T01:28:44.137006Z","kind":"pith_receipt","last_reissued_at":"2026-07-31T01:28:44.137006Z","receipt_version":"0.3","signature_status":"unsigned_v0"},"source_id":"2607.27634","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7687a7015730604b3216ebc9f9b4a7c3cff1af8dfa81563eb386163cbcd167e8","sha256:4ad19765ee51f8fd273d1919ec9ff52a9149aac5633454531bda1704660ee940"],"state_sha256":"003ee253509eb0ace5509e5e7f1da817a61a8101da89611f3cf6781797ac563f"}