{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:BAIJB5ZUMPBD2SG2AC4MQTWQAX","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":"d8dfb47690b3d269a666cff3610eafacce830bfe2d80fe3e4da03c54ba60c99f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T15:21:30Z","title_canon_sha256":"66c696b43e4bc139bc3638996739976869a17117fb28c5f22360427b3bfeb1bf"},"schema_version":"1.0","source":{"id":"2506.13594","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.13594","created_at":"2026-07-05T11:22:23Z"},{"alias_kind":"arxiv_version","alias_value":"2506.13594v1","created_at":"2026-07-05T11:22:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.13594","created_at":"2026-07-05T11:22:23Z"},{"alias_kind":"pith_short_12","alias_value":"BAIJB5ZUMPBD","created_at":"2026-07-05T11:22:23Z"},{"alias_kind":"pith_short_16","alias_value":"BAIJB5ZUMPBD2SG2","created_at":"2026-07-05T11:22:23Z"},{"alias_kind":"pith_short_8","alias_value":"BAIJB5ZU","created_at":"2026-07-05T11:22:23Z"}],"graph_snapshots":[{"event_id":"sha256:25354bf618262496eaaa66641f635f5cd49a9ff50e3b8f3b0028c99667c82c1f","target":"graph","created_at":"2026-07-05T11:22:23Z","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/2506.13594/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Distilling pre-trained 2D diffusion models into 3D assets has driven remarkable advances in text-to-3D synthesis. However, existing methods typically rely on Score Distillation Sampling (SDS) loss, which involves asymmetric KL divergence--a formulation that inherently favors mode-seeking behavior and limits generation diversity. In this paper, we introduce Dive3D, a novel text-to-3D generation framework that replaces KL-based objectives with Score Implicit Matching (SIM) loss, a score-based objective that effectively mitigates mode collapse. Furthermore, Dive3D integrates both diffusion distil","authors_text":"He Sun, Weijian Luo, Weimin Bai, Wenzheng Chen, Yubo Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T15:21:30Z","title":"Dive3D: Diverse Distillation-based Text-to-3D Generation via Score Implicit Matching"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.13594","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":"sha256:01fcc9c5ccf98b4554bf5cd173eec43d09afd7ee4d1bdb2de317bfa74d2250eb","target":"record","created_at":"2026-07-05T11:22:23Z","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":"d8dfb47690b3d269a666cff3610eafacce830bfe2d80fe3e4da03c54ba60c99f","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-06-16T15:21:30Z","title_canon_sha256":"66c696b43e4bc139bc3638996739976869a17117fb28c5f22360427b3bfeb1bf"},"schema_version":"1.0","source":{"id":"2506.13594","kind":"arxiv","version":1}},"canonical_sha256":"081090f73463c23d48da00b8c84ed005fcd3617a69ef4c70adb3a8f7060ab77d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"081090f73463c23d48da00b8c84ed005fcd3617a69ef4c70adb3a8f7060ab77d","first_computed_at":"2026-07-05T11:22:23.032130Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:22:23.032130Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UShEdXtsLlHTbFBHa5FxCych5GhBE+fEyJ+6Y35lYdox5Dzq9MjknkwTK8j7ZFIePG9Fr223v4V2zf2GaB5jBA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:22:23.032627Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.13594","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01fcc9c5ccf98b4554bf5cd173eec43d09afd7ee4d1bdb2de317bfa74d2250eb","sha256:25354bf618262496eaaa66641f635f5cd49a9ff50e3b8f3b0028c99667c82c1f"],"state_sha256":"c2e80b6ac2c542bf8797531bf6d0478b030200dee4e4b5ba63d675253ebbdd13"}