{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JJCI54HCRKUILKO6GCWIMCJYZF","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":"d3447cee0686bf78a3095b022ef8ed3e5b95d0d676448b363ddf55a1f0f019b3","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-22T18:46:47Z","title_canon_sha256":"8450068931fef33bb2f0340e7e353d8e84ed085e44c5dc0e36d1acd4b54621d7"},"schema_version":"1.0","source":{"id":"2501.13087","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.13087","created_at":"2026-07-05T11:57:54Z"},{"alias_kind":"arxiv_version","alias_value":"2501.13087v2","created_at":"2026-07-05T11:57:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.13087","created_at":"2026-07-05T11:57:54Z"},{"alias_kind":"pith_short_12","alias_value":"JJCI54HCRKUI","created_at":"2026-07-05T11:57:54Z"},{"alias_kind":"pith_short_16","alias_value":"JJCI54HCRKUILKO6","created_at":"2026-07-05T11:57:54Z"},{"alias_kind":"pith_short_8","alias_value":"JJCI54HC","created_at":"2026-07-05T11:57:54Z"}],"graph_snapshots":[{"event_id":"sha256:b95c0c41bd1db62f1e2fbaf51a6b1ffc354937e2f3a0f94fd6df32e263b9d0a2","target":"graph","created_at":"2026-07-05T11:57:54Z","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/2501.13087/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce Orchid, a unified latent diffusion model that learns a joint appearance-geometry prior to generate color, depth, and surface normal images in a single diffusion process. This unified approach is more efficient and coherent than current pipelines that use separate models for appearance and geometry. Orchid is versatile - it directly generates color, depth, and normal images from text, supports joint monocular depth and normal estimation with color-conditioned finetuning, and seamlessly inpaints large 3D regions by sampling from the joint distribution. It leverages a novel Variation","authors_text":"Abhijit Kundu, Akshay Krishnan, Vincent Casser, Xinchen Yan","cross_cats":["cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-22T18:46:47Z","title":"Orchid: Image Latent Diffusion for Joint Appearance and Geometry Generation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.13087","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":"sha256:7fee3d4b99d44a3e454fd2854132bb42525cda53f81c5e24af1dbbaad73b0f0f","target":"record","created_at":"2026-07-05T11:57:54Z","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":"d3447cee0686bf78a3095b022ef8ed3e5b95d0d676448b363ddf55a1f0f019b3","cross_cats_sorted":["cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-01-22T18:46:47Z","title_canon_sha256":"8450068931fef33bb2f0340e7e353d8e84ed085e44c5dc0e36d1acd4b54621d7"},"schema_version":"1.0","source":{"id":"2501.13087","kind":"arxiv","version":2}},"canonical_sha256":"4a448ef0e28aa885a9de30ac860938c9494cde914b925698726cc0a45f1ac105","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4a448ef0e28aa885a9de30ac860938c9494cde914b925698726cc0a45f1ac105","first_computed_at":"2026-07-05T11:57:54.415276Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:57:54.415276Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uic5ZOh27FEeqhnlfATP7jLX8I6Ud118x1HQ7jMNNVyAvQQdk1G1ACE5iq8bBlCIxyXJyyK8u8o1RI5eBUMaAA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:57:54.415843Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.13087","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7fee3d4b99d44a3e454fd2854132bb42525cda53f81c5e24af1dbbaad73b0f0f","sha256:b95c0c41bd1db62f1e2fbaf51a6b1ffc354937e2f3a0f94fd6df32e263b9d0a2"],"state_sha256":"1efdfbce56392e31602ca9dd70668e59dddbda70594ae20334be19d2989b3bdc"}