{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:WKR4LUPLOABG46TH3APICQXRHK","short_pith_number":"pith:WKR4LUPL","canonical_record":{"source":{"id":"2401.10512","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-19T06:04:48Z","cross_cats_sorted":[],"title_canon_sha256":"fe22ddd40b95607b56a49644105174ef7e47d246ac10a833b0c0ee27a1ae1bb2","abstract_canon_sha256":"693ee85629c3247fd5910f49f3a29aae1df77ad8690b2e5ee1c262f3d28245a1"},"schema_version":"1.0"},"canonical_sha256":"b2a3c5d1eb70026e7a67d81e8142f13a9ba94cc2748c64d3179c1823303ff535","source":{"kind":"arxiv","id":"2401.10512","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.10512","created_at":"2026-07-05T07:35:27Z"},{"alias_kind":"arxiv_version","alias_value":"2401.10512v1","created_at":"2026-07-05T07:35:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10512","created_at":"2026-07-05T07:35:27Z"},{"alias_kind":"pith_short_12","alias_value":"WKR4LUPLOABG","created_at":"2026-07-05T07:35:27Z"},{"alias_kind":"pith_short_16","alias_value":"WKR4LUPLOABG46TH","created_at":"2026-07-05T07:35:27Z"},{"alias_kind":"pith_short_8","alias_value":"WKR4LUPL","created_at":"2026-07-05T07:35:27Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:WKR4LUPLOABG46TH3APICQXRHK","target":"record","payload":{"canonical_record":{"source":{"id":"2401.10512","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-19T06:04:48Z","cross_cats_sorted":[],"title_canon_sha256":"fe22ddd40b95607b56a49644105174ef7e47d246ac10a833b0c0ee27a1ae1bb2","abstract_canon_sha256":"693ee85629c3247fd5910f49f3a29aae1df77ad8690b2e5ee1c262f3d28245a1"},"schema_version":"1.0"},"canonical_sha256":"b2a3c5d1eb70026e7a67d81e8142f13a9ba94cc2748c64d3179c1823303ff535","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:35:27.459465Z","signature_b64":"U/ZO0hPdukQscIptQjqGLBd9RTSvMaEiVw901uiL0HStm3n7WiIqPCrfxZ6c/gkV3ed+UjspCtjOoQMCtR6CAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"b2a3c5d1eb70026e7a67d81e8142f13a9ba94cc2748c64d3179c1823303ff535","last_reissued_at":"2026-07-05T07:35:27.458865Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:35:27.458865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2401.10512","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":"2026-07-05T07:35:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QvQL/GeoBWWAqfeAbCi+NZxtz5ealDUD32uV/F9qTqk9TvJLj1f50XICThI2NkCglZmI9MgpaDGo2QTrVko4BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T12:13:44.649487Z"},"content_sha256":"fca6fe3216d56729f340ecba775407f35fb554658877ced98decd5c7c73eded3","schema_version":"1.0","event_id":"sha256:fca6fe3216d56729f340ecba775407f35fb554658877ced98decd5c7c73eded3"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:WKR4LUPLOABG46TH3APICQXRHK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Exploring Color Invariance through Image-Level Ensemble Learning","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jiaquan Li, Lifei Chen, Min Jiang, Yunpeng Gong","submitted_at":"2024-01-19T06:04:48Z","abstract_excerpt":"In the field of computer vision, the persistent presence of color bias, resulting from fluctuations in real-world lighting and camera conditions, presents a substantial challenge to the robustness of models. This issue is particularly pronounced in complex wide-area surveillance scenarios, such as person re-identification and industrial dust segmentation, where models often experience a decline in performance due to overfitting on color information during training, given the presence of environmental variations. Consequently, there is a need to effectively adapt models to cope with the complex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10512","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/2401.10512/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":"2026-07-05T07:35:27Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tWKAYGBR9pabzw64AgLW9GW2NJfHpV/KNpiOfmIKfLAHE+jrJpWoZZH761TfBQZ5oKZp/r9XiPvIo+FZo67VCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T12:13:44.649986Z"},"content_sha256":"e7642218dd7255941d5233e8abf06210da91c021996ff2946605c1ca797a69b1","schema_version":"1.0","event_id":"sha256:e7642218dd7255941d5233e8abf06210da91c021996ff2946605c1ca797a69b1"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/WKR4LUPLOABG46TH3APICQXRHK/bundle.json","state_url":"https://pith.science/pith/WKR4LUPLOABG46TH3APICQXRHK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/WKR4LUPLOABG46TH3APICQXRHK/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":"2026-08-09T12:13:44Z","links":{"resolver":"https://pith.science/pith/WKR4LUPLOABG46TH3APICQXRHK","bundle":"https://pith.science/pith/WKR4LUPLOABG46TH3APICQXRHK/bundle.json","state":"https://pith.science/pith/WKR4LUPLOABG46TH3APICQXRHK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/WKR4LUPLOABG46TH3APICQXRHK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WKR4LUPLOABG46TH3APICQXRHK","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":"693ee85629c3247fd5910f49f3a29aae1df77ad8690b2e5ee1c262f3d28245a1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-19T06:04:48Z","title_canon_sha256":"fe22ddd40b95607b56a49644105174ef7e47d246ac10a833b0c0ee27a1ae1bb2"},"schema_version":"1.0","source":{"id":"2401.10512","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.10512","created_at":"2026-07-05T07:35:27Z"},{"alias_kind":"arxiv_version","alias_value":"2401.10512v1","created_at":"2026-07-05T07:35:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.10512","created_at":"2026-07-05T07:35:27Z"},{"alias_kind":"pith_short_12","alias_value":"WKR4LUPLOABG","created_at":"2026-07-05T07:35:27Z"},{"alias_kind":"pith_short_16","alias_value":"WKR4LUPLOABG46TH","created_at":"2026-07-05T07:35:27Z"},{"alias_kind":"pith_short_8","alias_value":"WKR4LUPL","created_at":"2026-07-05T07:35:27Z"}],"graph_snapshots":[{"event_id":"sha256:e7642218dd7255941d5233e8abf06210da91c021996ff2946605c1ca797a69b1","target":"graph","created_at":"2026-07-05T07:35:27Z","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/2401.10512/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In the field of computer vision, the persistent presence of color bias, resulting from fluctuations in real-world lighting and camera conditions, presents a substantial challenge to the robustness of models. This issue is particularly pronounced in complex wide-area surveillance scenarios, such as person re-identification and industrial dust segmentation, where models often experience a decline in performance due to overfitting on color information during training, given the presence of environmental variations. Consequently, there is a need to effectively adapt models to cope with the complex","authors_text":"Jiaquan Li, Lifei Chen, Min Jiang, Yunpeng Gong","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-19T06:04:48Z","title":"Exploring Color Invariance through Image-Level Ensemble Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.10512","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:fca6fe3216d56729f340ecba775407f35fb554658877ced98decd5c7c73eded3","target":"record","created_at":"2026-07-05T07:35:27Z","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":"693ee85629c3247fd5910f49f3a29aae1df77ad8690b2e5ee1c262f3d28245a1","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-19T06:04:48Z","title_canon_sha256":"fe22ddd40b95607b56a49644105174ef7e47d246ac10a833b0c0ee27a1ae1bb2"},"schema_version":"1.0","source":{"id":"2401.10512","kind":"arxiv","version":1}},"canonical_sha256":"b2a3c5d1eb70026e7a67d81e8142f13a9ba94cc2748c64d3179c1823303ff535","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b2a3c5d1eb70026e7a67d81e8142f13a9ba94cc2748c64d3179c1823303ff535","first_computed_at":"2026-07-05T07:35:27.458865Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:35:27.458865Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"U/ZO0hPdukQscIptQjqGLBd9RTSvMaEiVw901uiL0HStm3n7WiIqPCrfxZ6c/gkV3ed+UjspCtjOoQMCtR6CAg==","signature_status":"signed_v1","signed_at":"2026-07-05T07:35:27.459465Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.10512","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fca6fe3216d56729f340ecba775407f35fb554658877ced98decd5c7c73eded3","sha256:e7642218dd7255941d5233e8abf06210da91c021996ff2946605c1ca797a69b1"],"state_sha256":"10ef923921f748d5811346c23e026d986c0260607d1638ea61978b47347cf48e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MqvI8aFZ4ZVjvzUkOXwMzOF/oDeagbIV4EQmqt0V38JkJI7dTisFjtBtTZwQoo/d3JtNFjpztMf7U4oUck/zCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T12:13:44.654651Z","bundle_sha256":"7c526b42f037bbda42f30b27801c7e909a51ddcb9b68d6ef0790a360b0a416a6"}}