{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:G4JNZLAR3H6VIQY2CHOCWUKKWD","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":"5b56e5ff121bc9c51eac5b20cd68988cb14eeca8878d93d3f39cb04e1cbaa75f","cross_cats_sorted":["cs.GR","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-24T19:09:15Z","title_canon_sha256":"d5670d94ff7df1785637b7a9b4166300c69a869de39bc56f09b3c51410d9fe94"},"schema_version":"1.0","source":{"id":"2605.25220","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.25220","created_at":"2026-05-26T02:04:23Z"},{"alias_kind":"arxiv_version","alias_value":"2605.25220v1","created_at":"2026-05-26T02:04:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.25220","created_at":"2026-05-26T02:04:23Z"},{"alias_kind":"pith_short_12","alias_value":"G4JNZLAR3H6V","created_at":"2026-05-26T02:04:23Z"},{"alias_kind":"pith_short_16","alias_value":"G4JNZLAR3H6VIQY2","created_at":"2026-05-26T02:04:23Z"},{"alias_kind":"pith_short_8","alias_value":"G4JNZLAR","created_at":"2026-05-26T02:04:23Z"}],"graph_snapshots":[{"event_id":"sha256:43807760251f7fdb80453e78b78ce775f8cfe2f53eb0fb10da2da6da02930d7e","target":"graph","created_at":"2026-05-26T02:04:23Z","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/2605.25220/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"High-fidelity 3D Gaussian head avatar generation is critical for applications such as AR/VR, telepresence, and digital humans. Existing methods depend on multi-view datasets, 3D captures, or intermediate 2D view synthesis. In contrast, we learn both conditional and unconditional 3D head models from randomly sampled 2D images alone, without using multi-view data, 3D supervision, or intermediate view generation. We introduce MVCHead, a single-shot state space model that enforces multi-view consistency (MVC) directly in the 3D representation while regressing 3D Gaussians under these constraints. ","authors_text":"Aviral Chharia, Fernando De la Torre","cross_cats":["cs.GR","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-24T19:09:15Z","title":"Multi-view Consistent 3D Gaussian Head Avatars 'without' Multi-view Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.25220","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:f3e99eb561f283538dfef72b8e39ceb3162c636bb29cf1a540ad942289a5cd34","target":"record","created_at":"2026-05-26T02:04:23Z","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":"5b56e5ff121bc9c51eac5b20cd68988cb14eeca8878d93d3f39cb04e1cbaa75f","cross_cats_sorted":["cs.GR","cs.RO"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-05-24T19:09:15Z","title_canon_sha256":"d5670d94ff7df1785637b7a9b4166300c69a869de39bc56f09b3c51410d9fe94"},"schema_version":"1.0","source":{"id":"2605.25220","kind":"arxiv","version":1}},"canonical_sha256":"3712dcac11d9fd54431a11dc2b514ab0e260608fbeaccfb71c4d476ed3b004bb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3712dcac11d9fd54431a11dc2b514ab0e260608fbeaccfb71c4d476ed3b004bb","first_computed_at":"2026-05-26T02:04:23.931636Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-26T02:04:23.931636Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7NSf75jg/rsZfkV8ni990YG9W4UVEin8TPPKI60ajRdNbAT3V/f8IpKcrQR38KS3VbUqArzoBNmKa6gobVtECQ==","signature_status":"signed_v1","signed_at":"2026-05-26T02:04:23.932310Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.25220","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3e99eb561f283538dfef72b8e39ceb3162c636bb29cf1a540ad942289a5cd34","sha256:43807760251f7fdb80453e78b78ce775f8cfe2f53eb0fb10da2da6da02930d7e"],"state_sha256":"9d66cb64a731a29c087a5c70fef202b1a36ca80270d8c0b20a71348e65ed2663"}