{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:6IDQJ4HZYCJUAKJUFFYIYIBOPR","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":"c9c9f9c13d292727c733a7415a6cbbd11a878abbf3dfbb224256dc2c0956cd92","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-08T17:54:59Z","title_canon_sha256":"24e7be70c38c9343aa65a7b421c8b455aa13084993a17b619210d8d5f463bcf3"},"schema_version":"1.0","source":{"id":"2104.03953","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2104.03953","created_at":"2026-07-05T03:35:49Z"},{"alias_kind":"arxiv_version","alias_value":"2104.03953v3","created_at":"2026-07-05T03:35:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2104.03953","created_at":"2026-07-05T03:35:49Z"},{"alias_kind":"pith_short_12","alias_value":"6IDQJ4HZYCJU","created_at":"2026-07-05T03:35:49Z"},{"alias_kind":"pith_short_16","alias_value":"6IDQJ4HZYCJUAKJU","created_at":"2026-07-05T03:35:49Z"},{"alias_kind":"pith_short_8","alias_value":"6IDQJ4HZ","created_at":"2026-07-05T03:35:49Z"}],"graph_snapshots":[{"event_id":"sha256:2b35b890953bfc3632709bdf0c98d76681effc40f4c718a2c0a5ec05a56b8023","target":"graph","created_at":"2026-07-05T03:35:49Z","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/2104.03953/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural implicit surface representations have emerged as a promising paradigm to capture 3D shapes in a continuous and resolution-independent manner. However, adapting them to articulated shapes is non-trivial. Existing approaches learn a backward warp field that maps deformed to canonical points. However, this is problematic since the backward warp field is pose dependent and thus requires large amounts of data to learn. To address this, we introduce SNARF, which combines the advantages of linear blend skinning (LBS) for polygonal meshes with those of neural implicit surfaces by learning a for","authors_text":"Andreas Geiger, Michael J. Black, Otmar Hilliges, Xu Chen, Yufeng Zheng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-08T17:54:59Z","title":"SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2104.03953","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:fde32e4449881d4d91abf1e3f22872e9f5238df37038fea00f17dce3e10f4ddb","target":"record","created_at":"2026-07-05T03:35:49Z","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":"c9c9f9c13d292727c733a7415a6cbbd11a878abbf3dfbb224256dc2c0956cd92","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-04-08T17:54:59Z","title_canon_sha256":"24e7be70c38c9343aa65a7b421c8b455aa13084993a17b619210d8d5f463bcf3"},"schema_version":"1.0","source":{"id":"2104.03953","kind":"arxiv","version":3}},"canonical_sha256":"f20704f0f9c09340293429708c202e7c58725052ff2a436963953b025f2cc7d0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f20704f0f9c09340293429708c202e7c58725052ff2a436963953b025f2cc7d0","first_computed_at":"2026-07-05T03:35:49.196408Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:35:49.196408Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"pUvxh9vUGh5Nb2J8igkus7rWQ1niGmxbpcowxY3QuAnK97MB+CzjFPxM65xk42sSZe8WgEhrjgkvbFNQ4R88AA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:35:49.196880Z","signed_message":"canonical_sha256_bytes"},"source_id":"2104.03953","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fde32e4449881d4d91abf1e3f22872e9f5238df37038fea00f17dce3e10f4ddb","sha256:2b35b890953bfc3632709bdf0c98d76681effc40f4c718a2c0a5ec05a56b8023"],"state_sha256":"4d671eaf061435c1430803143f2db5bacdf610d4a7257ecaf9987983c2b38231"}