{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AORPMTNWFDJGEG3WTNM36CTMNZ","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":"2b2825392ad83346a8944a9d976522777f43d47d267fc978a9fef0da91e23724","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-09T15:38:18Z","title_canon_sha256":"ae07b2c418d74acf235f0161ace797bbcdb06c7ff9e4c1472bfca621f2eb2b79"},"schema_version":"1.0","source":{"id":"2504.06982","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.06982","created_at":"2026-07-05T10:46:49Z"},{"alias_kind":"arxiv_version","alias_value":"2504.06982v1","created_at":"2026-07-05T10:46:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.06982","created_at":"2026-07-05T10:46:49Z"},{"alias_kind":"pith_short_12","alias_value":"AORPMTNWFDJG","created_at":"2026-07-05T10:46:49Z"},{"alias_kind":"pith_short_16","alias_value":"AORPMTNWFDJGEG3W","created_at":"2026-07-05T10:46:49Z"},{"alias_kind":"pith_short_8","alias_value":"AORPMTNW","created_at":"2026-07-05T10:46:49Z"}],"graph_snapshots":[{"event_id":"sha256:247242cfa4accf9d52fd2bb02cace9b22428ddaaacdeb5d4babc160de6764776","target":"graph","created_at":"2026-07-05T10:46:49Z","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/2504.06982/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D human digitization has long been a highly pursued yet challenging task. Existing methods aim to generate high-quality 3D digital humans from single or multiple views, but remain primarily constrained by current paradigms and the scarcity of 3D human assets. Specifically, recent approaches fall into several paradigms: optimization-based and feed-forward (both single-view regression and multi-view generation with reconstruction). However, they are limited by slow speed, low quality, cascade reasoning, and ambiguity in mapping low-dimensional planes to high-dimensional space due to occlusion a","authors_text":"Fengqi Liu, Junting Dong, Lizhuang Ma, Pingyu Wu, Qin Zhao, Ran Yi, Wei Zhai, Yang Cao, Yixing Lu, Yuhang Yang, Zheng-Jun Zha","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-09T15:38:18Z","title":"SIGMAN:Scaling 3D Human Gaussian Generation with Millions of Assets"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.06982","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":"sha256:2b626c1ec6414f8f695a6f6710efd2b6cee9c90d076ffe870f6e7bdd18eab798","target":"record","created_at":"2026-07-05T10:46:49Z","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":"2b2825392ad83346a8944a9d976522777f43d47d267fc978a9fef0da91e23724","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-09T15:38:18Z","title_canon_sha256":"ae07b2c418d74acf235f0161ace797bbcdb06c7ff9e4c1472bfca621f2eb2b79"},"schema_version":"1.0","source":{"id":"2504.06982","kind":"arxiv","version":1}},"canonical_sha256":"03a2f64db628d2621b769b59bf0a6c6e43571e38af607af4c8b39a5069a53099","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"03a2f64db628d2621b769b59bf0a6c6e43571e38af607af4c8b39a5069a53099","first_computed_at":"2026-07-05T10:46:49.544848Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:46:49.544848Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"v+4fDJ2zZEgfhY6MJhZ6vdNcQrL7TmIZJd5dL+XgW5wWrbcYr9Z5Dbj6ZRdflxhmXOHl2VkOX16uweU5j7/aAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T10:46:49.545354Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.06982","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2b626c1ec6414f8f695a6f6710efd2b6cee9c90d076ffe870f6e7bdd18eab798","sha256:247242cfa4accf9d52fd2bb02cace9b22428ddaaacdeb5d4babc160de6764776"],"state_sha256":"01fe4e3e76f97e046ab4c54e9139dc4ffe0a39acd64ae457d391a19de2c5b5fc"}