{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:VK6IACKHHQLKQLMLGOU5R5ET2M","short_pith_number":"pith:VK6IACKH","canonical_record":{"source":{"id":"2508.08384","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-08-11T18:11:42Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"f1cf1a173b1531cb3449f4552189c79e46df136e51555a77e8726a60ee2333dd","abstract_canon_sha256":"6f4eb19c54e84217de9e7c3cdf791ac485809a3318fe4f212a91772329b3d725"},"schema_version":"1.0"},"canonical_sha256":"aabc8009473c16a82d8b33a9d8f493d33543f3bc8eaec192e7fb7d5e31396f92","source":{"kind":"arxiv","id":"2508.08384","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.08384","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"arxiv_version","alias_value":"2508.08384v1","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.08384","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"pith_short_12","alias_value":"VK6IACKHHQLK","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"pith_short_16","alias_value":"VK6IACKHHQLKQLML","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"pith_short_8","alias_value":"VK6IACKH","created_at":"2026-07-05T11:52:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:VK6IACKHHQLKQLMLGOU5R5ET2M","target":"record","payload":{"canonical_record":{"source":{"id":"2508.08384","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-08-11T18:11:42Z","cross_cats_sorted":["cs.AI","cs.CV"],"title_canon_sha256":"f1cf1a173b1531cb3449f4552189c79e46df136e51555a77e8726a60ee2333dd","abstract_canon_sha256":"6f4eb19c54e84217de9e7c3cdf791ac485809a3318fe4f212a91772329b3d725"},"schema_version":"1.0"},"canonical_sha256":"aabc8009473c16a82d8b33a9d8f493d33543f3bc8eaec192e7fb7d5e31396f92","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:52:27.140937Z","signature_b64":"XAw0C7hPfRKgU0KunMFpIZWqnaxw3agcbdRsRomvFKIJDQA7AxJ1xhldj2lTaCG4Dhv4vG1VEk08bqpLsqL/Dw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aabc8009473c16a82d8b33a9d8f493d33543f3bc8eaec192e7fb7d5e31396f92","last_reissued_at":"2026-07-05T11:52:27.140449Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:52:27.140449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.08384","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:52:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hbtSCdaHajWbegkQX4PzyTUC3cvAkrBEtErvvNsTNwKSY7pl5FHSrIG3QJsq1eVFQfA+P//RplyKVOADk4PFAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-29T03:32:57.994738Z"},"content_sha256":"373e08402401b08f57af6527f23aac69b6e467c56ad40e9ee0f434518d43f643","schema_version":"1.0","event_id":"sha256:373e08402401b08f57af6527f23aac69b6e467c56ad40e9ee0f434518d43f643"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:VK6IACKHHQLKQLMLGOU5R5ET2M","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Spatiotemporally Consistent Indoor Lighting Estimation with Diffusion Priors","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI","cs.CV"],"primary_cat":"cs.GR","authors_text":"Changxi Zheng, Mutian Tong, Rundi Wu","submitted_at":"2025-08-11T18:11:42Z","abstract_excerpt":"Indoor lighting estimation from a single image or video remains a challenge due to its highly ill-posed nature, especially when the lighting condition of the scene varies spatially and temporally. We propose a method that estimates from an input video a continuous light field describing the spatiotemporally varying lighting of the scene. We leverage 2D diffusion priors for optimizing such light field represented as a MLP. To enable zero-shot generalization to in-the-wild scenes, we fine-tune a pre-trained image diffusion model to predict lighting at multiple locations by jointly inpainting mul"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.08384","kind":"arxiv","version":1},"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/2508.08384/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":"2026-07-05T11:52:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QOWTJxI/aZ0p7NwL+1v9TVo7NPkPytkzBJ2xloJ7ceTBALnzcwKVPITZl9chwbCof0XNut+ZXKhBuFiz1dPaDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-29T03:32:57.995119Z"},"content_sha256":"1fff8c5de518f040bdd6fbe4065c88e98f181b99e422b0c7888666fb12f02951","schema_version":"1.0","event_id":"sha256:1fff8c5de518f040bdd6fbe4065c88e98f181b99e422b0c7888666fb12f02951"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VK6IACKHHQLKQLMLGOU5R5ET2M/bundle.json","state_url":"https://pith.science/pith/VK6IACKHHQLKQLMLGOU5R5ET2M/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VK6IACKHHQLKQLMLGOU5R5ET2M/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":"2026-07-29T03:32:57Z","links":{"resolver":"https://pith.science/pith/VK6IACKHHQLKQLMLGOU5R5ET2M","bundle":"https://pith.science/pith/VK6IACKHHQLKQLMLGOU5R5ET2M/bundle.json","state":"https://pith.science/pith/VK6IACKHHQLKQLMLGOU5R5ET2M/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VK6IACKHHQLKQLMLGOU5R5ET2M/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:VK6IACKHHQLKQLMLGOU5R5ET2M","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":"6f4eb19c54e84217de9e7c3cdf791ac485809a3318fe4f212a91772329b3d725","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-08-11T18:11:42Z","title_canon_sha256":"f1cf1a173b1531cb3449f4552189c79e46df136e51555a77e8726a60ee2333dd"},"schema_version":"1.0","source":{"id":"2508.08384","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.08384","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"arxiv_version","alias_value":"2508.08384v1","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.08384","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"pith_short_12","alias_value":"VK6IACKHHQLK","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"pith_short_16","alias_value":"VK6IACKHHQLKQLML","created_at":"2026-07-05T11:52:27Z"},{"alias_kind":"pith_short_8","alias_value":"VK6IACKH","created_at":"2026-07-05T11:52:27Z"}],"graph_snapshots":[{"event_id":"sha256:1fff8c5de518f040bdd6fbe4065c88e98f181b99e422b0c7888666fb12f02951","target":"graph","created_at":"2026-07-05T11:52:27Z","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/2508.08384/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Indoor lighting estimation from a single image or video remains a challenge due to its highly ill-posed nature, especially when the lighting condition of the scene varies spatially and temporally. We propose a method that estimates from an input video a continuous light field describing the spatiotemporally varying lighting of the scene. We leverage 2D diffusion priors for optimizing such light field represented as a MLP. To enable zero-shot generalization to in-the-wild scenes, we fine-tune a pre-trained image diffusion model to predict lighting at multiple locations by jointly inpainting mul","authors_text":"Changxi Zheng, Mutian Tong, Rundi Wu","cross_cats":["cs.AI","cs.CV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-08-11T18:11:42Z","title":"Spatiotemporally Consistent Indoor Lighting Estimation with Diffusion Priors"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.08384","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":"sha256:373e08402401b08f57af6527f23aac69b6e467c56ad40e9ee0f434518d43f643","target":"record","created_at":"2026-07-05T11:52:27Z","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":"6f4eb19c54e84217de9e7c3cdf791ac485809a3318fe4f212a91772329b3d725","cross_cats_sorted":["cs.AI","cs.CV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.GR","submitted_at":"2025-08-11T18:11:42Z","title_canon_sha256":"f1cf1a173b1531cb3449f4552189c79e46df136e51555a77e8726a60ee2333dd"},"schema_version":"1.0","source":{"id":"2508.08384","kind":"arxiv","version":1}},"canonical_sha256":"aabc8009473c16a82d8b33a9d8f493d33543f3bc8eaec192e7fb7d5e31396f92","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aabc8009473c16a82d8b33a9d8f493d33543f3bc8eaec192e7fb7d5e31396f92","first_computed_at":"2026-07-05T11:52:27.140449Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:52:27.140449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"XAw0C7hPfRKgU0KunMFpIZWqnaxw3agcbdRsRomvFKIJDQA7AxJ1xhldj2lTaCG4Dhv4vG1VEk08bqpLsqL/Dw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:52:27.140937Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.08384","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:373e08402401b08f57af6527f23aac69b6e467c56ad40e9ee0f434518d43f643","sha256:1fff8c5de518f040bdd6fbe4065c88e98f181b99e422b0c7888666fb12f02951"],"state_sha256":"c76cc8fc24aae7f731ac4c57e89d81caac3f2e9b8f16b3e720334f17b8f61e29"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"0qCV+18tXEbjlw2aIxSVVI1NATiFU2lQgKiY6ygH2sXWv7gTDppybYufEubBbBqtVB8btp2s/DkFoDc4uNBpDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-29T03:32:57.998020Z","bundle_sha256":"69996f60964a78eb9569d175a3805593d260f60d52e62176cf1023e7bf733d8f"}}