{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:BFPAHRMD7JC65QXXXNK4VINJZ4","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":"110cd525e26565ebf8d994df300844f6dfedb5e694db6a4362cc6cac12328aa8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-01-15T03:43:45Z","title_canon_sha256":"76c59b57033f975b2c6c8c3e1c106df5fa01b4124731da5a99dd330374893e83"},"schema_version":"1.0","source":{"id":"2301.06015","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.06015","created_at":"2026-07-05T05:33:26Z"},{"alias_kind":"arxiv_version","alias_value":"2301.06015v1","created_at":"2026-07-05T05:33:26Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.06015","created_at":"2026-07-05T05:33:26Z"},{"alias_kind":"pith_short_12","alias_value":"BFPAHRMD7JC6","created_at":"2026-07-05T05:33:26Z"},{"alias_kind":"pith_short_16","alias_value":"BFPAHRMD7JC65QXX","created_at":"2026-07-05T05:33:26Z"},{"alias_kind":"pith_short_8","alias_value":"BFPAHRMD","created_at":"2026-07-05T05:33:26Z"}],"graph_snapshots":[{"event_id":"sha256:b88408cfc94af60d2de9278e147fd3048370a62e317c04e68aa011e622ed3a0a","target":"graph","created_at":"2026-07-05T05:33:26Z","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/2301.06015/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce SceneDiffuser, a conditional generative model for 3D scene understanding. SceneDiffuser provides a unified model for solving scene-conditioned generation, optimization, and planning. In contrast to prior works, SceneDiffuser is intrinsically scene-aware, physics-based, and goal-oriented. With an iterative sampling strategy, SceneDiffuser jointly formulates the scene-aware generation, physics-based optimization, and goal-oriented planning via a diffusion-based denoising process in a fully differentiable fashion. Such a design alleviates the discrepancies among different modules and","authors_text":"Baoxiong Jia, Puhao Li, Siyuan Huang, Song-Chun Zhu, Tengyu Liu, Wei Liang, Yixin Zhu, Zan Wang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-01-15T03:43:45Z","title":"Diffusion-based Generation, Optimization, and Planning in 3D Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.06015","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:bb70ffc8f6a82e1499708c8d956a86bff706c82fe86a1bdfe128c2ed4c5a3cd2","target":"record","created_at":"2026-07-05T05:33:26Z","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":"110cd525e26565ebf8d994df300844f6dfedb5e694db6a4362cc6cac12328aa8","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2023-01-15T03:43:45Z","title_canon_sha256":"76c59b57033f975b2c6c8c3e1c106df5fa01b4124731da5a99dd330374893e83"},"schema_version":"1.0","source":{"id":"2301.06015","kind":"arxiv","version":1}},"canonical_sha256":"095e03c583fa45eec2f7bb55caa1a9cf2553fdb18ff0871de0896016d22acfb7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"095e03c583fa45eec2f7bb55caa1a9cf2553fdb18ff0871de0896016d22acfb7","first_computed_at":"2026-07-05T05:33:26.644703Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:33:26.644703Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oyMQPb6z71uQ5vr+iIMysiMUoLcZ28Wsc3zADJ/tJwpGGKE1UdJKadKErffy9dmy8Yo9/el4lVW9d0QfOghLCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:33:26.645188Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.06015","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bb70ffc8f6a82e1499708c8d956a86bff706c82fe86a1bdfe128c2ed4c5a3cd2","sha256:b88408cfc94af60d2de9278e147fd3048370a62e317c04e68aa011e622ed3a0a"],"state_sha256":"cd8f35b1d0f5dc4ecd828610e1d0b11b0afa07503d7352bb3dd771bf5cf0d4f6"}