{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:UYL52A6LLPPTINMYEH5LPEWDHM","short_pith_number":"pith:UYL52A6L","canonical_record":{"source":{"id":"1912.06888","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-14T17:36:36Z","cross_cats_sorted":[],"title_canon_sha256":"c58b3dbcc67c98dd7ddb28df6f52b4b4c7736e543b9feaa7c4eb6499de2e6c71","abstract_canon_sha256":"67dbc2a59a70a626e17268b693a4933af66ecace16f099ec6b878620fe4c8285"},"schema_version":"1.0"},"canonical_sha256":"a617dd03cb5bdf34359821fab792c33b1c92470d362ee33134699fb3fb163972","source":{"kind":"arxiv","id":"1912.06888","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.06888","created_at":"2026-07-05T00:26:16Z"},{"alias_kind":"arxiv_version","alias_value":"1912.06888v1","created_at":"2026-07-05T00:26:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.06888","created_at":"2026-07-05T00:26:16Z"},{"alias_kind":"pith_short_12","alias_value":"UYL52A6LLPPT","created_at":"2026-07-05T00:26:16Z"},{"alias_kind":"pith_short_16","alias_value":"UYL52A6LLPPTINMY","created_at":"2026-07-05T00:26:16Z"},{"alias_kind":"pith_short_8","alias_value":"UYL52A6L","created_at":"2026-07-05T00:26:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:UYL52A6LLPPTINMYEH5LPEWDHM","target":"record","payload":{"canonical_record":{"source":{"id":"1912.06888","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-14T17:36:36Z","cross_cats_sorted":[],"title_canon_sha256":"c58b3dbcc67c98dd7ddb28df6f52b4b4c7736e543b9feaa7c4eb6499de2e6c71","abstract_canon_sha256":"67dbc2a59a70a626e17268b693a4933af66ecace16f099ec6b878620fe4c8285"},"schema_version":"1.0"},"canonical_sha256":"a617dd03cb5bdf34359821fab792c33b1c92470d362ee33134699fb3fb163972","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:26:16.411566Z","signature_b64":"D6/G7cC/lWgFwpT7y2HttgudE7zVlNouEJQ/hYM1OWATPHY8AQIUqy2fzCDvK834rZc2M4BxyeP61oRwgJ/4Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a617dd03cb5bdf34359821fab792c33b1c92470d362ee33134699fb3fb163972","last_reissued_at":"2026-07-05T00:26:16.411140Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:26:16.411140Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1912.06888","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":"2026-07-05T00:26:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5YV9qQdqf3V8I38gRnOdcCqPpOSQH/m1BO8/cOKrgPUYYBhZbnLMgxG9Eu/DOjUxz653BwnVF5DnmXoeL912Dg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:34:14.918092Z"},"content_sha256":"8c7e12b804663a0aa5de8efc0f1f35377336d12d9e26af3fc680b2da4aaa6bde","schema_version":"1.0","event_id":"sha256:8c7e12b804663a0aa5de8efc0f1f35377336d12d9e26af3fc680b2da4aaa6bde"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:UYL52A6LLPPTINMYEH5LPEWDHM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Sensor-Independent Illumination Estimation for DNN Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mahmoud Afifi, Michael S. Brown","submitted_at":"2019-12-14T17:36:36Z","abstract_excerpt":"While modern deep neural networks (DNNs) achieve state-of-the-art results for illuminant estimation, it is currently necessary to train a separate DNN for each type of camera sensor. This means when a camera manufacturer uses a new sensor, it is necessary to retrain an existing DNN model with training images captured by the new sensor. This paper addresses this problem by introducing a novel sensor-independent illuminant estimation framework. Our method learns a sensor-independent working space that can be used to canonicalize the RGB values of any arbitrary camera sensor. Our learned space re"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.06888","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/1912.06888/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":"2026-07-05T00:26:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tDDlkPdj0nKgeSVsWNceqJ3I6XTx/GfDMkAv4uSc/wxLF1ac3m4V6C7csU03wpJ8RfaXm5z9CTBm+BtlCjTSAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-07T06:34:14.918608Z"},"content_sha256":"5574fdba97cb60d153ecbe7a3c4a46016ba284fde4c6f941fa441eca596c7931","schema_version":"1.0","event_id":"sha256:5574fdba97cb60d153ecbe7a3c4a46016ba284fde4c6f941fa441eca596c7931"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UYL52A6LLPPTINMYEH5LPEWDHM/bundle.json","state_url":"https://pith.science/pith/UYL52A6LLPPTINMYEH5LPEWDHM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UYL52A6LLPPTINMYEH5LPEWDHM/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":"2026-08-07T06:34:14Z","links":{"resolver":"https://pith.science/pith/UYL52A6LLPPTINMYEH5LPEWDHM","bundle":"https://pith.science/pith/UYL52A6LLPPTINMYEH5LPEWDHM/bundle.json","state":"https://pith.science/pith/UYL52A6LLPPTINMYEH5LPEWDHM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UYL52A6LLPPTINMYEH5LPEWDHM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:UYL52A6LLPPTINMYEH5LPEWDHM","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":"67dbc2a59a70a626e17268b693a4933af66ecace16f099ec6b878620fe4c8285","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-14T17:36:36Z","title_canon_sha256":"c58b3dbcc67c98dd7ddb28df6f52b4b4c7736e543b9feaa7c4eb6499de2e6c71"},"schema_version":"1.0","source":{"id":"1912.06888","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1912.06888","created_at":"2026-07-05T00:26:16Z"},{"alias_kind":"arxiv_version","alias_value":"1912.06888v1","created_at":"2026-07-05T00:26:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1912.06888","created_at":"2026-07-05T00:26:16Z"},{"alias_kind":"pith_short_12","alias_value":"UYL52A6LLPPT","created_at":"2026-07-05T00:26:16Z"},{"alias_kind":"pith_short_16","alias_value":"UYL52A6LLPPTINMY","created_at":"2026-07-05T00:26:16Z"},{"alias_kind":"pith_short_8","alias_value":"UYL52A6L","created_at":"2026-07-05T00:26:16Z"}],"graph_snapshots":[{"event_id":"sha256:5574fdba97cb60d153ecbe7a3c4a46016ba284fde4c6f941fa441eca596c7931","target":"graph","created_at":"2026-07-05T00:26:16Z","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/1912.06888/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While modern deep neural networks (DNNs) achieve state-of-the-art results for illuminant estimation, it is currently necessary to train a separate DNN for each type of camera sensor. This means when a camera manufacturer uses a new sensor, it is necessary to retrain an existing DNN model with training images captured by the new sensor. This paper addresses this problem by introducing a novel sensor-independent illuminant estimation framework. Our method learns a sensor-independent working space that can be used to canonicalize the RGB values of any arbitrary camera sensor. Our learned space re","authors_text":"Mahmoud Afifi, Michael S. Brown","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-14T17:36:36Z","title":"Sensor-Independent Illumination Estimation for DNN Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1912.06888","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":"sha256:8c7e12b804663a0aa5de8efc0f1f35377336d12d9e26af3fc680b2da4aaa6bde","target":"record","created_at":"2026-07-05T00:26:16Z","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":"67dbc2a59a70a626e17268b693a4933af66ecace16f099ec6b878620fe4c8285","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-12-14T17:36:36Z","title_canon_sha256":"c58b3dbcc67c98dd7ddb28df6f52b4b4c7736e543b9feaa7c4eb6499de2e6c71"},"schema_version":"1.0","source":{"id":"1912.06888","kind":"arxiv","version":1}},"canonical_sha256":"a617dd03cb5bdf34359821fab792c33b1c92470d362ee33134699fb3fb163972","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a617dd03cb5bdf34359821fab792c33b1c92470d362ee33134699fb3fb163972","first_computed_at":"2026-07-05T00:26:16.411140Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:26:16.411140Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D6/G7cC/lWgFwpT7y2HttgudE7zVlNouEJQ/hYM1OWATPHY8AQIUqy2fzCDvK834rZc2M4BxyeP61oRwgJ/4Dg==","signature_status":"signed_v1","signed_at":"2026-07-05T00:26:16.411566Z","signed_message":"canonical_sha256_bytes"},"source_id":"1912.06888","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8c7e12b804663a0aa5de8efc0f1f35377336d12d9e26af3fc680b2da4aaa6bde","sha256:5574fdba97cb60d153ecbe7a3c4a46016ba284fde4c6f941fa441eca596c7931"],"state_sha256":"8297e1608dd84517f780a415d70786c11d01fd3bc76815af0ebb5e74e8f15df2"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+SXyilMuzrGOBGMY1hlDWAsPHHJpal5++c4sGA63S5lGRhYpiKskNXzWvqndrlRKRLOHubk5kzpB6YTP01KcBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-07T06:34:14.923024Z","bundle_sha256":"1c62720650378c66c3289297a2f773108dde93ed5f43bd05a2f39df3427ddc9b"}}