{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:CIDAVT7FI2GSOWHNWHAFV2OZAS","short_pith_number":"pith:CIDAVT7F","canonical_record":{"source":{"id":"2412.15050","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T16:57:45Z","cross_cats_sorted":[],"title_canon_sha256":"4b6ad13ad800549aecf8317d2e9d9265cccd8e87cc539e014e48e0d6a1556479","abstract_canon_sha256":"14ae7848b531d59ecb4e742b87fd44b419ca3e3bacc9fa92c7a26cab514d76fe"},"schema_version":"1.0"},"canonical_sha256":"12060acfe5468d2758edb1c05ae9d904b58b88b4271e0d15c8898a6fd2aa33f6","source":{"kind":"arxiv","id":"2412.15050","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15050","created_at":"2026-07-05T10:24:28Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15050v4","created_at":"2026-07-05T10:24:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15050","created_at":"2026-07-05T10:24:28Z"},{"alias_kind":"pith_short_12","alias_value":"CIDAVT7FI2GS","created_at":"2026-07-05T10:24:28Z"},{"alias_kind":"pith_short_16","alias_value":"CIDAVT7FI2GSOWHN","created_at":"2026-07-05T10:24:28Z"},{"alias_kind":"pith_short_8","alias_value":"CIDAVT7F","created_at":"2026-07-05T10:24:28Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:CIDAVT7FI2GSOWHNWHAFV2OZAS","target":"record","payload":{"canonical_record":{"source":{"id":"2412.15050","kind":"arxiv","version":4},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T16:57:45Z","cross_cats_sorted":[],"title_canon_sha256":"4b6ad13ad800549aecf8317d2e9d9265cccd8e87cc539e014e48e0d6a1556479","abstract_canon_sha256":"14ae7848b531d59ecb4e742b87fd44b419ca3e3bacc9fa92c7a26cab514d76fe"},"schema_version":"1.0"},"canonical_sha256":"12060acfe5468d2758edb1c05ae9d904b58b88b4271e0d15c8898a6fd2aa33f6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:24:28.980938Z","signature_b64":"KDvYMXH/9Pztf9GrRjwuY6MW2r4qwMntSLHPYY99Weqh2q23+AEdvdm9dGwiV+f16R+Nkie4kglIUoAnGorDCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12060acfe5468d2758edb1c05ae9d904b58b88b4271e0d15c8898a6fd2aa33f6","last_reissued_at":"2026-07-05T10:24:28.980310Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:24:28.980310Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2412.15050","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:24:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CdbRXh0MjGbs/zB6SpSVmJk5wZvUyn/rdIAPVV330v7RiEnMIThkotUSEqQe/CvVLNZeAjjVrz+YHjLMHH7sCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:33:09.528874Z"},"content_sha256":"70c1ac2d133270643acd313cdbf10ee1021b36f1dae1e26828e36261665d0b3f","schema_version":"1.0","event_id":"sha256:70c1ac2d133270643acd313cdbf10ee1021b36f1dae1e26828e36261665d0b3f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:CIDAVT7FI2GSOWHNWHAFV2OZAS","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Dongyu Yan, Jing He, Leyi Wu, Luozhou Wang, Lu Zeng, Shunsi Zhang, Tianshuo Xu, Wenhang Ge, Yingcong Chen, Zhifei Chen","submitted_at":"2024-12-19T16:57:45Z","abstract_excerpt":"Rendering and inverse rendering are pivotal tasks in both computer vision and graphics. The rendering equation is the core of the two tasks, as an ideal conditional distribution transfer function from intrinsic properties to RGB images. Despite achieving promising results of existing rendering methods, they merely approximate the ideal estimation for a specific scene and come with a high computational cost. Additionally, the inverse conditional distribution transfer is intractable due to the inherent ambiguity. To address these challenges, we propose a data-driven method that jointly models re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15050","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2412.15050/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T10:24:28Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Iu4nOq7oCZhJxLJD9C6uKPBAGGTideci/68Im6mVXBZmw0okt+/K+/u5Fs8ix8p7p8CYTQZuQcPgaa48JpWFDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-06T19:33:09.529249Z"},"content_sha256":"b9ad8f4dea4f05759cedf2049535881466913e2b6860a2d6ad27fdc3fa4215e8","schema_version":"1.0","event_id":"sha256:b9ad8f4dea4f05759cedf2049535881466913e2b6860a2d6ad27fdc3fa4215e8"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/CIDAVT7FI2GSOWHNWHAFV2OZAS/bundle.json","state_url":"https://pith.science/pith/CIDAVT7FI2GSOWHNWHAFV2OZAS/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/CIDAVT7FI2GSOWHNWHAFV2OZAS/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-06T19:33:09Z","links":{"resolver":"https://pith.science/pith/CIDAVT7FI2GSOWHNWHAFV2OZAS","bundle":"https://pith.science/pith/CIDAVT7FI2GSOWHNWHAFV2OZAS/bundle.json","state":"https://pith.science/pith/CIDAVT7FI2GSOWHNWHAFV2OZAS/state.json","well_known_bundle":"https://pith.science/.well-known/pith/CIDAVT7FI2GSOWHNWHAFV2OZAS/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:CIDAVT7FI2GSOWHNWHAFV2OZAS","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":"14ae7848b531d59ecb4e742b87fd44b419ca3e3bacc9fa92c7a26cab514d76fe","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T16:57:45Z","title_canon_sha256":"4b6ad13ad800549aecf8317d2e9d9265cccd8e87cc539e014e48e0d6a1556479"},"schema_version":"1.0","source":{"id":"2412.15050","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.15050","created_at":"2026-07-05T10:24:28Z"},{"alias_kind":"arxiv_version","alias_value":"2412.15050v4","created_at":"2026-07-05T10:24:28Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.15050","created_at":"2026-07-05T10:24:28Z"},{"alias_kind":"pith_short_12","alias_value":"CIDAVT7FI2GS","created_at":"2026-07-05T10:24:28Z"},{"alias_kind":"pith_short_16","alias_value":"CIDAVT7FI2GSOWHN","created_at":"2026-07-05T10:24:28Z"},{"alias_kind":"pith_short_8","alias_value":"CIDAVT7F","created_at":"2026-07-05T10:24:28Z"}],"graph_snapshots":[{"event_id":"sha256:b9ad8f4dea4f05759cedf2049535881466913e2b6860a2d6ad27fdc3fa4215e8","target":"graph","created_at":"2026-07-05T10:24:28Z","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/2412.15050/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Rendering and inverse rendering are pivotal tasks in both computer vision and graphics. The rendering equation is the core of the two tasks, as an ideal conditional distribution transfer function from intrinsic properties to RGB images. Despite achieving promising results of existing rendering methods, they merely approximate the ideal estimation for a specific scene and come with a high computational cost. Additionally, the inverse conditional distribution transfer is intractable due to the inherent ambiguity. To address these challenges, we propose a data-driven method that jointly models re","authors_text":"Dongyu Yan, Jing He, Leyi Wu, Luozhou Wang, Lu Zeng, Shunsi Zhang, Tianshuo Xu, Wenhang Ge, Yingcong Chen, Zhifei Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T16:57:45Z","title":"Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.15050","kind":"arxiv","version":4},"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":"sha256:70c1ac2d133270643acd313cdbf10ee1021b36f1dae1e26828e36261665d0b3f","target":"record","created_at":"2026-07-05T10:24:28Z","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":"14ae7848b531d59ecb4e742b87fd44b419ca3e3bacc9fa92c7a26cab514d76fe","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-12-19T16:57:45Z","title_canon_sha256":"4b6ad13ad800549aecf8317d2e9d9265cccd8e87cc539e014e48e0d6a1556479"},"schema_version":"1.0","source":{"id":"2412.15050","kind":"arxiv","version":4}},"canonical_sha256":"12060acfe5468d2758edb1c05ae9d904b58b88b4271e0d15c8898a6fd2aa33f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"12060acfe5468d2758edb1c05ae9d904b58b88b4271e0d15c8898a6fd2aa33f6","first_computed_at":"2026-07-05T10:24:28.980310Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:24:28.980310Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KDvYMXH/9Pztf9GrRjwuY6MW2r4qwMntSLHPYY99Weqh2q23+AEdvdm9dGwiV+f16R+Nkie4kglIUoAnGorDCA==","signature_status":"signed_v1","signed_at":"2026-07-05T10:24:28.980938Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.15050","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:70c1ac2d133270643acd313cdbf10ee1021b36f1dae1e26828e36261665d0b3f","sha256:b9ad8f4dea4f05759cedf2049535881466913e2b6860a2d6ad27fdc3fa4215e8"],"state_sha256":"76aa020a2f525a685a678a42b37c68ba798f7113808d8d0636ddd88b6795df45"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RHCl7ZGQ2NBQAbGPI7ICfjMr3FyfpksNm3w0s6gcy64Bxz/ZY3DP+g44hgQxRHXzl6AXEom7xvs8pYh35knFBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-06T19:33:09.531166Z","bundle_sha256":"003128145269de9136aef2d0fdd5224fbde627d3c9e81f797b1fdd809228a94a"}}