{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GDXP3GU5XSARBKVUQ6XFM5UIQJ","short_pith_number":"pith:GDXP3GU5","canonical_record":{"source":{"id":"2507.01342","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T04:11:01Z","cross_cats_sorted":[],"title_canon_sha256":"d02732732b8f1bbfcb992f476c32c658b139c11fa0b9862b644508f3a7686c6c","abstract_canon_sha256":"a9a5826de286dcd25e6a2d92482ddd0faa948e18c0d51520fdb68e852971d13f"},"schema_version":"1.0"},"canonical_sha256":"30eefd9a9dbc8110aab487ae567688827a611b7115153db229b7fe421b32e08f","source":{"kind":"arxiv","id":"2507.01342","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01342","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01342v2","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01342","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"pith_short_12","alias_value":"GDXP3GU5XSAR","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"pith_short_16","alias_value":"GDXP3GU5XSARBKVU","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"pith_short_8","alias_value":"GDXP3GU5","created_at":"2026-07-05T11:54:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GDXP3GU5XSARBKVUQ6XFM5UIQJ","target":"record","payload":{"canonical_record":{"source":{"id":"2507.01342","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T04:11:01Z","cross_cats_sorted":[],"title_canon_sha256":"d02732732b8f1bbfcb992f476c32c658b139c11fa0b9862b644508f3a7686c6c","abstract_canon_sha256":"a9a5826de286dcd25e6a2d92482ddd0faa948e18c0d51520fdb68e852971d13f"},"schema_version":"1.0"},"canonical_sha256":"30eefd9a9dbc8110aab487ae567688827a611b7115153db229b7fe421b32e08f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:54:12.583213Z","signature_b64":"eeRGYu9Q430i5IfJq9alLhGWoIwk9CoaVmyOzlB99pyYfKNeF5/vl+Whf2JIqzuwb9xkP7KJC5aOc95zODdiAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"30eefd9a9dbc8110aab487ae567688827a611b7115153db229b7fe421b32e08f","last_reissued_at":"2026-07-05T11:54:12.582787Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:54:12.582787Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2507.01342","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":"2026-07-05T11:54:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z4vHPRoTwe5Pqn/vnT+LEmNEsGnK0WcPjHEo5C+BovqFUCaRR9ZL7fWfd9hBSEhe1+WpKfdxp2UiSTo71scCBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:19:49.600958Z"},"content_sha256":"afd87f488357b7738c926d0b966d62badfad6183cf46c63c386ea8dc10d35021","schema_version":"1.0","event_id":"sha256:afd87f488357b7738c926d0b966d62badfad6183cf46c63c386ea8dc10d35021"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GDXP3GU5XSARBKVUQ6XFM5UIQJ","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Learning Camera-Agnostic White-Balance Preferences","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Luxi Zhao, Mahmoud Afifi, Michael S. Brown","submitted_at":"2025-07-02T04:11:01Z","abstract_excerpt":"The image signal processor (ISP) pipeline in modern cameras consists of several modules that transform raw sensor data into visually pleasing images in a display color space. Among these, the auto white balance (AWB) module is essential for compensating for scene illumination. However, commercial AWB systems often strive to compute aesthetic white-balance preferences rather than accurate neutral color correction. While learning-based methods have improved AWB accuracy, they typically struggle to generalize across different camera sensors -- an issue for smartphones with multiple cameras. Recen"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01342","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2507.01342/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":"2026-07-05T11:54:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z818WIpFCDuukSGmNc5/SkhkqUxzvtJnqLV2IHnm31iiNTa5la/5gWh6/L1u6XaTAA52/02eggffKgD8O1q7BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T13:19:49.601688Z"},"content_sha256":"e88a6ad9aa989c17191118d05f6f786b948464d432cf6ddb3962db05c4af9e33","schema_version":"1.0","event_id":"sha256:e88a6ad9aa989c17191118d05f6f786b948464d432cf6ddb3962db05c4af9e33"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GDXP3GU5XSARBKVUQ6XFM5UIQJ/bundle.json","state_url":"https://pith.science/pith/GDXP3GU5XSARBKVUQ6XFM5UIQJ/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GDXP3GU5XSARBKVUQ6XFM5UIQJ/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":"2026-08-06T13:19:49Z","links":{"resolver":"https://pith.science/pith/GDXP3GU5XSARBKVUQ6XFM5UIQJ","bundle":"https://pith.science/pith/GDXP3GU5XSARBKVUQ6XFM5UIQJ/bundle.json","state":"https://pith.science/pith/GDXP3GU5XSARBKVUQ6XFM5UIQJ/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GDXP3GU5XSARBKVUQ6XFM5UIQJ/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GDXP3GU5XSARBKVUQ6XFM5UIQJ","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":"a9a5826de286dcd25e6a2d92482ddd0faa948e18c0d51520fdb68e852971d13f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T04:11:01Z","title_canon_sha256":"d02732732b8f1bbfcb992f476c32c658b139c11fa0b9862b644508f3a7686c6c"},"schema_version":"1.0","source":{"id":"2507.01342","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.01342","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"arxiv_version","alias_value":"2507.01342v2","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.01342","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"pith_short_12","alias_value":"GDXP3GU5XSAR","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"pith_short_16","alias_value":"GDXP3GU5XSARBKVU","created_at":"2026-07-05T11:54:12Z"},{"alias_kind":"pith_short_8","alias_value":"GDXP3GU5","created_at":"2026-07-05T11:54:12Z"}],"graph_snapshots":[{"event_id":"sha256:e88a6ad9aa989c17191118d05f6f786b948464d432cf6ddb3962db05c4af9e33","target":"graph","created_at":"2026-07-05T11:54:12Z","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/2507.01342/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The image signal processor (ISP) pipeline in modern cameras consists of several modules that transform raw sensor data into visually pleasing images in a display color space. Among these, the auto white balance (AWB) module is essential for compensating for scene illumination. However, commercial AWB systems often strive to compute aesthetic white-balance preferences rather than accurate neutral color correction. While learning-based methods have improved AWB accuracy, they typically struggle to generalize across different camera sensors -- an issue for smartphones with multiple cameras. Recen","authors_text":"Luxi Zhao, Mahmoud Afifi, Michael S. Brown","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T04:11:01Z","title":"Learning Camera-Agnostic White-Balance Preferences"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.01342","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:afd87f488357b7738c926d0b966d62badfad6183cf46c63c386ea8dc10d35021","target":"record","created_at":"2026-07-05T11:54:12Z","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":"a9a5826de286dcd25e6a2d92482ddd0faa948e18c0d51520fdb68e852971d13f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-07-02T04:11:01Z","title_canon_sha256":"d02732732b8f1bbfcb992f476c32c658b139c11fa0b9862b644508f3a7686c6c"},"schema_version":"1.0","source":{"id":"2507.01342","kind":"arxiv","version":2}},"canonical_sha256":"30eefd9a9dbc8110aab487ae567688827a611b7115153db229b7fe421b32e08f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"30eefd9a9dbc8110aab487ae567688827a611b7115153db229b7fe421b32e08f","first_computed_at":"2026-07-05T11:54:12.582787Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:54:12.582787Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"eeRGYu9Q430i5IfJq9alLhGWoIwk9CoaVmyOzlB99pyYfKNeF5/vl+Whf2JIqzuwb9xkP7KJC5aOc95zODdiAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:54:12.583213Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.01342","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:afd87f488357b7738c926d0b966d62badfad6183cf46c63c386ea8dc10d35021","sha256:e88a6ad9aa989c17191118d05f6f786b948464d432cf6ddb3962db05c4af9e33"],"state_sha256":"30bca84a77819affec8869249cda1354b34f89c8b98c665b267a273f9b173d36"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"d9iau97RPO82Bt0Gw8qAtfsTzk3/lrN2nmHxKnzGJzHx5S507u0PFZxPr+sDqxnzuXbyQWMxzvAXmWAD0uFZCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T13:19:49.607090Z","bundle_sha256":"1b555805e18738f24cc66603c929f5e9016e598024ca4e2edeed8b2f312463a5"}}