{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:LPPFY4YLFOEG3W52BRCKS5U3E2","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":"a3e93bc0bd3d6faa0409b45c800e8e85c1b440d1018555fc2c101a49cd125786","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-31T23:04:25Z","title_canon_sha256":"d608cdfafd10b0706b8412a69f8fa6b4a523cd161c0491ea910365014fb03a8d"},"schema_version":"1.0","source":{"id":"2401.00604","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.00604","created_at":"2026-07-05T08:02:23Z"},{"alias_kind":"arxiv_version","alias_value":"2401.00604v2","created_at":"2026-07-05T08:02:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.00604","created_at":"2026-07-05T08:02:23Z"},{"alias_kind":"pith_short_12","alias_value":"LPPFY4YLFOEG","created_at":"2026-07-05T08:02:23Z"},{"alias_kind":"pith_short_16","alias_value":"LPPFY4YLFOEG3W52","created_at":"2026-07-05T08:02:23Z"},{"alias_kind":"pith_short_8","alias_value":"LPPFY4YL","created_at":"2026-07-05T08:02:23Z"}],"graph_snapshots":[{"event_id":"sha256:b20c1d034b11c5862456f3d660fb965ba7a74abfadc059f1376542338ca74d33","target":"graph","created_at":"2026-07-05T08:02:23Z","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/2401.00604/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Score distillation has emerged as one of the most prevalent approaches for text-to-3D asset synthesis. Essentially, score distillation updates 3D parameters by lifting and back-propagating scores averaged over different views. In this paper, we reveal that the gradient estimation in score distillation is inherent to high variance. Through the lens of variance reduction, the effectiveness of SDS and VSD can be interpreted as applications of various control variates to the Monte Carlo estimator of the distilled score. Motivated by this rethinking and based on Stein's identity, we propose a more ","authors_text":"Dejia Xu, Dilin Wang, Forrest Iandola, Peihao Wang, Qiang Liu, Rakesh Ranjan, Sreyas Mohan, Vikas Chandra, Yilei Li, Zhangyang Wang, Zhiwen Fan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-31T23:04:25Z","title":"SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.00604","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":"sha256:8a9b08a2c14d4cd8143eafa5d4dd5adb28fba4ed111af1ebb68a42be7e37b730","target":"record","created_at":"2026-07-05T08:02:23Z","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":"a3e93bc0bd3d6faa0409b45c800e8e85c1b440d1018555fc2c101a49cd125786","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-12-31T23:04:25Z","title_canon_sha256":"d608cdfafd10b0706b8412a69f8fa6b4a523cd161c0491ea910365014fb03a8d"},"schema_version":"1.0","source":{"id":"2401.00604","kind":"arxiv","version":2}},"canonical_sha256":"5bde5c730b2b886ddbba0c44a9769b26a27898eea247541a49a9169b4e59106f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5bde5c730b2b886ddbba0c44a9769b26a27898eea247541a49a9169b4e59106f","first_computed_at":"2026-07-05T08:02:23.668736Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:02:23.668736Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"GfCM41/Ff68RATIdKp8+0L4rkxKuxiEP3Kg9WbmGY/bi1jvAJAQvDzbFL+hRdjpVtKyLW6pwFXPl/n5uRYXHBA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:02:23.669247Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.00604","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8a9b08a2c14d4cd8143eafa5d4dd5adb28fba4ed111af1ebb68a42be7e37b730","sha256:b20c1d034b11c5862456f3d660fb965ba7a74abfadc059f1376542338ca74d33"],"state_sha256":"8df210c4bd98f14eb77559a747f436c8c23ed86d0e89f7f25537c6667cb96353"}