{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:RFCTQARH5ZMEAUCKJCWBZD7VSC","short_pith_number":"pith:RFCTQARH","canonical_record":{"source":{"id":"1803.06340","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-16T17:53:06Z","cross_cats_sorted":[],"title_canon_sha256":"c24804fbfb1df7b75ed4d1348b291a3951d70ff4df3563aad71a4fbc9c97a1ad","abstract_canon_sha256":"586b14eef0cdf90a83f270fdab3c451e6038501d7cee2378d1801a66ec080d61"},"schema_version":"1.0"},"canonical_sha256":"8945380227ee5840504a48ac1c8ff59098a79877050ecf3a22c319826d9398ed","source":{"kind":"arxiv","id":"1803.06340","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.06340","created_at":"2026-05-18T00:10:10Z"},{"alias_kind":"arxiv_version","alias_value":"1803.06340v2","created_at":"2026-05-18T00:10:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06340","created_at":"2026-05-18T00:10:10Z"},{"alias_kind":"pith_short_12","alias_value":"RFCTQARH5ZME","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RFCTQARH5ZMEAUCK","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RFCTQARH","created_at":"2026-05-18T12:32:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:RFCTQARH5ZMEAUCKJCWBZD7VSC","target":"record","payload":{"canonical_record":{"source":{"id":"1803.06340","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-16T17:53:06Z","cross_cats_sorted":[],"title_canon_sha256":"c24804fbfb1df7b75ed4d1348b291a3951d70ff4df3563aad71a4fbc9c97a1ad","abstract_canon_sha256":"586b14eef0cdf90a83f270fdab3c451e6038501d7cee2378d1801a66ec080d61"},"schema_version":"1.0"},"canonical_sha256":"8945380227ee5840504a48ac1c8ff59098a79877050ecf3a22c319826d9398ed","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:10:10.496393Z","signature_b64":"DnhCaHdVZ9JSeIDrAQwwU89GktS4lIb7XzaaRvTaE5gAIpGVcdw4nVexmnmuT6NYIptNBDveZK80xdsGOPi6BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"8945380227ee5840504a48ac1c8ff59098a79877050ecf3a22c319826d9398ed","last_reissued_at":"2026-05-18T00:10:10.495754Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:10:10.495754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1803.06340","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:10:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"q1BWYwKHS8qTt5bWIvEnsLwi4dYkcfUVmBhqOm3Xn3+0wNOxNVNT06ZilYAAefH5ZVDP0EsZMkdVFebgp5dmCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T02:42:57.678166Z"},"content_sha256":"799b27b04ab57f51ed398c936dce471f409df3e4690766656d2a1431ed1772a1","schema_version":"1.0","event_id":"sha256:799b27b04ab57f51ed398c936dce471f409df3e4690766656d2a1431ed1772a1"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:RFCTQARH5ZMEAUCKJCWBZD7VSC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Faces as Lighting Probes via Unsupervised Deep Highlight Extraction","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chenyang Zhu, Ping Tan, Renjiao Yi, Stephen Lin","submitted_at":"2018-03-16T17:53:06Z","abstract_excerpt":"We present a method for estimating detailed scene illumination using human faces in a single image. In contrast to previous works that estimate lighting in terms of low-order basis functions or distant point lights, our technique estimates illumination at a higher precision in the form of a non-parametric environment map. Based on the observation that faces can exhibit strong highlight reflections from a broad range of lighting directions, we propose a deep neural network for extracting highlights from faces, and then trace these reflections back to the scene to acquire the environment map. Si"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06340","kind":"arxiv","version":2},"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":"2026-05-18T00:10:10Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"h1qfJlFJLLTWrt3QWhEYR8p8k3duvgp1NAKxZSZRWPFgWUW3fbUina8E3j0fGcpb17sBmDGIAg/9fa0BxzQXCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T02:42:57.678530Z"},"content_sha256":"b0057ed56d4b5a9069520fe41c54c25cc963f65a6b121a00f38937f3cd86c0db","schema_version":"1.0","event_id":"sha256:b0057ed56d4b5a9069520fe41c54c25cc963f65a6b121a00f38937f3cd86c0db"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/RFCTQARH5ZMEAUCKJCWBZD7VSC/bundle.json","state_url":"https://pith.science/pith/RFCTQARH5ZMEAUCKJCWBZD7VSC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/RFCTQARH5ZMEAUCKJCWBZD7VSC/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":"2026-06-28T02:42:57Z","links":{"resolver":"https://pith.science/pith/RFCTQARH5ZMEAUCKJCWBZD7VSC","bundle":"https://pith.science/pith/RFCTQARH5ZMEAUCKJCWBZD7VSC/bundle.json","state":"https://pith.science/pith/RFCTQARH5ZMEAUCKJCWBZD7VSC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/RFCTQARH5ZMEAUCKJCWBZD7VSC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:RFCTQARH5ZMEAUCKJCWBZD7VSC","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":"586b14eef0cdf90a83f270fdab3c451e6038501d7cee2378d1801a66ec080d61","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-16T17:53:06Z","title_canon_sha256":"c24804fbfb1df7b75ed4d1348b291a3951d70ff4df3563aad71a4fbc9c97a1ad"},"schema_version":"1.0","source":{"id":"1803.06340","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1803.06340","created_at":"2026-05-18T00:10:10Z"},{"alias_kind":"arxiv_version","alias_value":"1803.06340v2","created_at":"2026-05-18T00:10:10Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1803.06340","created_at":"2026-05-18T00:10:10Z"},{"alias_kind":"pith_short_12","alias_value":"RFCTQARH5ZME","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"RFCTQARH5ZMEAUCK","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"RFCTQARH","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:b0057ed56d4b5a9069520fe41c54c25cc963f65a6b121a00f38937f3cd86c0db","target":"graph","created_at":"2026-05-18T00:10:10Z","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 method for estimating detailed scene illumination using human faces in a single image. In contrast to previous works that estimate lighting in terms of low-order basis functions or distant point lights, our technique estimates illumination at a higher precision in the form of a non-parametric environment map. Based on the observation that faces can exhibit strong highlight reflections from a broad range of lighting directions, we propose a deep neural network for extracting highlights from faces, and then trace these reflections back to the scene to acquire the environment map. Si","authors_text":"Chenyang Zhu, Ping Tan, Renjiao Yi, Stephen Lin","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-16T17:53:06Z","title":"Faces as Lighting Probes via Unsupervised Deep Highlight Extraction"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1803.06340","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":"sha256:799b27b04ab57f51ed398c936dce471f409df3e4690766656d2a1431ed1772a1","target":"record","created_at":"2026-05-18T00:10:10Z","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":"586b14eef0cdf90a83f270fdab3c451e6038501d7cee2378d1801a66ec080d61","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-03-16T17:53:06Z","title_canon_sha256":"c24804fbfb1df7b75ed4d1348b291a3951d70ff4df3563aad71a4fbc9c97a1ad"},"schema_version":"1.0","source":{"id":"1803.06340","kind":"arxiv","version":2}},"canonical_sha256":"8945380227ee5840504a48ac1c8ff59098a79877050ecf3a22c319826d9398ed","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"8945380227ee5840504a48ac1c8ff59098a79877050ecf3a22c319826d9398ed","first_computed_at":"2026-05-18T00:10:10.495754Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:10:10.495754Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"DnhCaHdVZ9JSeIDrAQwwU89GktS4lIb7XzaaRvTaE5gAIpGVcdw4nVexmnmuT6NYIptNBDveZK80xdsGOPi6BA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:10:10.496393Z","signed_message":"canonical_sha256_bytes"},"source_id":"1803.06340","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:799b27b04ab57f51ed398c936dce471f409df3e4690766656d2a1431ed1772a1","sha256:b0057ed56d4b5a9069520fe41c54c25cc963f65a6b121a00f38937f3cd86c0db"],"state_sha256":"ef4f24a93194a07009eff5a2370f09fd98544334faee29d465a3f2274e4120e2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jtEGHIKAPJCwsbRntoMAV/ReN34DPFLBd5lewtt3jJ3WPmDoEAxry8BoQqktMF4ano6sWGlb5CdCz67xCCu2Ag==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T02:42:57.680492Z","bundle_sha256":"308980688dcaa92e514d6ba441da11171c2e0826b467411056bd81ab208ed312"}}