{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:BWUYKR2GNKXTBCXYQ72T3AQXWN","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":"2c2369ac849ca88176633e5e229d0913523c95e5749f3500417c7447e4873338","cross_cats_sorted":["cs.GR","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-15T07:50:12Z","title_canon_sha256":"72ef7ed2308d5a575e7509fbc8aa6c45a7f2bf7f564035f038f862b28f32f042"},"schema_version":"1.0","source":{"id":"2203.07706","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2203.07706","created_at":"2026-07-05T05:18:45Z"},{"alias_kind":"arxiv_version","alias_value":"2203.07706v2","created_at":"2026-07-05T05:18:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2203.07706","created_at":"2026-07-05T05:18:45Z"},{"alias_kind":"pith_short_12","alias_value":"BWUYKR2GNKXT","created_at":"2026-07-05T05:18:45Z"},{"alias_kind":"pith_short_16","alias_value":"BWUYKR2GNKXTBCXY","created_at":"2026-07-05T05:18:45Z"},{"alias_kind":"pith_short_8","alias_value":"BWUYKR2G","created_at":"2026-07-05T05:18:45Z"}],"graph_snapshots":[{"event_id":"sha256:db0690fbdd3ec6816db82110b9078d257f3f60351ce3b6351a3374c9902cffe0","target":"graph","created_at":"2026-07-05T05:18:45Z","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/2203.07706/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We present a GAN-based Transformer for general action-conditioned 3D human motion generation, including not only single-person actions but also multi-person interactive actions. Our approach consists of a powerful Action-conditioned motion TransFormer (ActFormer) under a GAN training scheme, equipped with a Gaussian Process latent prior. Such a design combines the strong spatio-temporal representation capacity of Transformer, superiority in generative modeling of GAN, and inherent temporal correlations from the latent prior. Furthermore, ActFormer can be naturally extended to multi-person moti","authors_text":"Chenjing Ding, Dongliang Wang, Jing Su, Liang Xu, Weihao Gan, Wei Wu, Wenjun Zeng, Xiaokang Yang, Xin Jin, Yichao Yan, Zhicheng Fang, Ziyang Song","cross_cats":["cs.GR","cs.MM"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-15T07:50:12Z","title":"ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2203.07706","kind":"arxiv","version":2},"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:e32ae537be81fd45b3f71db8b87ba0e9068a7b6185c49dffe9285336bd1de7a3","target":"record","created_at":"2026-07-05T05:18:45Z","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":"2c2369ac849ca88176633e5e229d0913523c95e5749f3500417c7447e4873338","cross_cats_sorted":["cs.GR","cs.MM"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2022-03-15T07:50:12Z","title_canon_sha256":"72ef7ed2308d5a575e7509fbc8aa6c45a7f2bf7f564035f038f862b28f32f042"},"schema_version":"1.0","source":{"id":"2203.07706","kind":"arxiv","version":2}},"canonical_sha256":"0da98547466aaf308af887f53d8217b359f1b8b76feef4d87fdbce062f67db5b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0da98547466aaf308af887f53d8217b359f1b8b76feef4d87fdbce062f67db5b","first_computed_at":"2026-07-05T05:18:45.847724Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:18:45.847724Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"I4X6VCZ+2rBbwLeMucHqu9TLB+XgvQDkwBxFxdDofOeryylCL3rXSRlFIAvSa/2e2GCEJCsL41oGvAViJ78BCA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:18:45.848207Z","signed_message":"canonical_sha256_bytes"},"source_id":"2203.07706","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e32ae537be81fd45b3f71db8b87ba0e9068a7b6185c49dffe9285336bd1de7a3","sha256:db0690fbdd3ec6816db82110b9078d257f3f60351ce3b6351a3374c9902cffe0"],"state_sha256":"d362b0da1f33f8df9d0c1f637ade3e99332983b23b162c9e18e05a9a5b709333"}