{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:ADFEJLZHQPILHIWWTJM23A6TMF","short_pith_number":"pith:ADFEJLZH","canonical_record":{"source":{"id":"1906.04909","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-12T03:19:08Z","cross_cats_sorted":[],"title_canon_sha256":"f5096d3985d78b185cf8cf86408182857eff4b477b8a8d9c150ce25fc5334806","abstract_canon_sha256":"e511b8f32295f05fddc346d27d8496f78fa23af2d825859971639dede2eb35c4"},"schema_version":"1.0"},"canonical_sha256":"00ca44af2783d0b3a2d69a59ad83d3616c1ab2372a5426afcdfd3b3ae1e579d6","source":{"kind":"arxiv","id":"1906.04909","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.04909","created_at":"2026-05-17T23:43:30Z"},{"alias_kind":"arxiv_version","alias_value":"1906.04909v1","created_at":"2026-05-17T23:43:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.04909","created_at":"2026-05-17T23:43:30Z"},{"alias_kind":"pith_short_12","alias_value":"ADFEJLZHQPIL","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"ADFEJLZHQPILHIWW","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"ADFEJLZH","created_at":"2026-05-18T12:33:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:ADFEJLZHQPILHIWWTJM23A6TMF","target":"record","payload":{"canonical_record":{"source":{"id":"1906.04909","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-12T03:19:08Z","cross_cats_sorted":[],"title_canon_sha256":"f5096d3985d78b185cf8cf86408182857eff4b477b8a8d9c150ce25fc5334806","abstract_canon_sha256":"e511b8f32295f05fddc346d27d8496f78fa23af2d825859971639dede2eb35c4"},"schema_version":"1.0"},"canonical_sha256":"00ca44af2783d0b3a2d69a59ad83d3616c1ab2372a5426afcdfd3b3ae1e579d6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:30.144563Z","signature_b64":"ehFgiS+lFoTIxvAkzddIDTpGXRuuHSOTB2cmK8iUWZiSPJvm0BPA5r4gSi+dpggLI65Iagk1O6lwb0XuLs4CAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"00ca44af2783d0b3a2d69a59ad83d3616c1ab2372a5426afcdfd3b3ae1e579d6","last_reissued_at":"2026-05-17T23:43:30.144018Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:30.144018Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.04909","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":"2026-05-17T23:43:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xlT2KxDdRYgGJsqD6MURzIBWM/N6bjaB2lqPo5Jhu0s6v1BbLDYYstEaI+esR0qPlSddPvt0WyZ36yj/mI9/CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T12:58:16.651262Z"},"content_sha256":"9e75646b3746f8f8e0dcabf87235f6ebfc7232e9798029d641c5062ed23797e0","schema_version":"1.0","event_id":"sha256:9e75646b3746f8f8e0dcabf87235f6ebfc7232e9798029d641c5062ed23797e0"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:ADFEJLZHQPILHIWWTJM23A6TMF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"All-Weather Deep Outdoor Lighting Estimation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jean-Fran\\c{c}ois Lalonde, Jinsong Zhang, Jonathan Eisenmann, Kalyan Sunkavalli, Sunil Hadap, Yannick Hold-Geoffroy","submitted_at":"2019-06-12T03:19:08Z","abstract_excerpt":"We present a neural network that predicts HDR outdoor illumination from a single LDR image. At the heart of our work is a method to accurately learn HDR lighting from LDR panoramas under any weather condition. We achieve this by training another CNN (on a combination of synthetic and real images) to take as input an LDR panorama, and regress the parameters of the Lalonde-Matthews outdoor illumination model. This model is trained such that it a) reconstructs the appearance of the sky, and b) renders the appearance of objects lit by this illumination. We use this network to label a large-scale d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.04909","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":""},"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":"2026-05-17T23:43:30Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6nt8qB9izQFWAcidf9k+7AhXHtxE4xOdmzBA+PBwGg7Dk1HNtTvmAOgFDPqxJo+mPjJX2tucVQZRK3sdufeeDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T12:58:16.651682Z"},"content_sha256":"d6adf9036d59dcf3552d5262969e0288af32897719601681e9bcfa7296d6f3ab","schema_version":"1.0","event_id":"sha256:d6adf9036d59dcf3552d5262969e0288af32897719601681e9bcfa7296d6f3ab"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ADFEJLZHQPILHIWWTJM23A6TMF/bundle.json","state_url":"https://pith.science/pith/ADFEJLZHQPILHIWWTJM23A6TMF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ADFEJLZHQPILHIWWTJM23A6TMF/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":"2026-05-26T12:58:16Z","links":{"resolver":"https://pith.science/pith/ADFEJLZHQPILHIWWTJM23A6TMF","bundle":"https://pith.science/pith/ADFEJLZHQPILHIWWTJM23A6TMF/bundle.json","state":"https://pith.science/pith/ADFEJLZHQPILHIWWTJM23A6TMF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ADFEJLZHQPILHIWWTJM23A6TMF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:ADFEJLZHQPILHIWWTJM23A6TMF","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":"e511b8f32295f05fddc346d27d8496f78fa23af2d825859971639dede2eb35c4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-12T03:19:08Z","title_canon_sha256":"f5096d3985d78b185cf8cf86408182857eff4b477b8a8d9c150ce25fc5334806"},"schema_version":"1.0","source":{"id":"1906.04909","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.04909","created_at":"2026-05-17T23:43:30Z"},{"alias_kind":"arxiv_version","alias_value":"1906.04909v1","created_at":"2026-05-17T23:43:30Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.04909","created_at":"2026-05-17T23:43:30Z"},{"alias_kind":"pith_short_12","alias_value":"ADFEJLZHQPIL","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_16","alias_value":"ADFEJLZHQPILHIWW","created_at":"2026-05-18T12:33:12Z"},{"alias_kind":"pith_short_8","alias_value":"ADFEJLZH","created_at":"2026-05-18T12:33:12Z"}],"graph_snapshots":[{"event_id":"sha256:d6adf9036d59dcf3552d5262969e0288af32897719601681e9bcfa7296d6f3ab","target":"graph","created_at":"2026-05-17T23:43:30Z","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"},"paper":{"abstract_excerpt":"We present a neural network that predicts HDR outdoor illumination from a single LDR image. At the heart of our work is a method to accurately learn HDR lighting from LDR panoramas under any weather condition. We achieve this by training another CNN (on a combination of synthetic and real images) to take as input an LDR panorama, and regress the parameters of the Lalonde-Matthews outdoor illumination model. This model is trained such that it a) reconstructs the appearance of the sky, and b) renders the appearance of objects lit by this illumination. We use this network to label a large-scale d","authors_text":"Jean-Fran\\c{c}ois Lalonde, Jinsong Zhang, Jonathan Eisenmann, Kalyan Sunkavalli, Sunil Hadap, Yannick Hold-Geoffroy","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-12T03:19:08Z","title":"All-Weather Deep Outdoor Lighting Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.04909","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":"sha256:9e75646b3746f8f8e0dcabf87235f6ebfc7232e9798029d641c5062ed23797e0","target":"record","created_at":"2026-05-17T23:43:30Z","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":"e511b8f32295f05fddc346d27d8496f78fa23af2d825859971639dede2eb35c4","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-12T03:19:08Z","title_canon_sha256":"f5096d3985d78b185cf8cf86408182857eff4b477b8a8d9c150ce25fc5334806"},"schema_version":"1.0","source":{"id":"1906.04909","kind":"arxiv","version":1}},"canonical_sha256":"00ca44af2783d0b3a2d69a59ad83d3616c1ab2372a5426afcdfd3b3ae1e579d6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"00ca44af2783d0b3a2d69a59ad83d3616c1ab2372a5426afcdfd3b3ae1e579d6","first_computed_at":"2026-05-17T23:43:30.144018Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:30.144018Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ehFgiS+lFoTIxvAkzddIDTpGXRuuHSOTB2cmK8iUWZiSPJvm0BPA5r4gSi+dpggLI65Iagk1O6lwb0XuLs4CAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:30.144563Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.04909","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9e75646b3746f8f8e0dcabf87235f6ebfc7232e9798029d641c5062ed23797e0","sha256:d6adf9036d59dcf3552d5262969e0288af32897719601681e9bcfa7296d6f3ab"],"state_sha256":"294e74b3d661a53226c6b487d3861c81c56cbead151a2bfea7497f175a03f81f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"KpHG4CyA9xFIu2siDyq1j4v2f4e8VrlB9Qc/ldlS0MsPskm104DuIY59d95ug6BWEovOYEg+q7+1bU78+rphDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T12:58:16.654613Z","bundle_sha256":"30addaa70175596aac9d1682f8c666ad0ac7cb0edf28965996ebb4cc19dd4a09"}}