{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:755TFJOIEB6IY4YGZG2NSJPBUX","short_pith_number":"pith:755TFJOI","canonical_record":{"source":{"id":"1910.04870","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-02T13:47:46Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"6124f973fa5cd34181abf1f70c9203d72f8336da1e4bf920fb81d323a2e8ab4e","abstract_canon_sha256":"19424999a407b8363f7ccfcfd8865ee6bf74df4b0cbb275c0c096aab842505fe"},"schema_version":"1.0"},"canonical_sha256":"ff7b32a5c8207c8c7306c9b4d925e1a5ff1ae06df0027bdb5b2bdb5c3850db89","source":{"kind":"arxiv","id":"1910.04870","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.04870","created_at":"2026-07-05T00:11:23Z"},{"alias_kind":"arxiv_version","alias_value":"1910.04870v1","created_at":"2026-07-05T00:11:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.04870","created_at":"2026-07-05T00:11:23Z"},{"alias_kind":"pith_short_12","alias_value":"755TFJOIEB6I","created_at":"2026-07-05T00:11:23Z"},{"alias_kind":"pith_short_16","alias_value":"755TFJOIEB6IY4YG","created_at":"2026-07-05T00:11:23Z"},{"alias_kind":"pith_short_8","alias_value":"755TFJOI","created_at":"2026-07-05T00:11:23Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:755TFJOIEB6IY4YGZG2NSJPBUX","target":"record","payload":{"canonical_record":{"source":{"id":"1910.04870","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-02T13:47:46Z","cross_cats_sorted":["cs.LG","stat.ML"],"title_canon_sha256":"6124f973fa5cd34181abf1f70c9203d72f8336da1e4bf920fb81d323a2e8ab4e","abstract_canon_sha256":"19424999a407b8363f7ccfcfd8865ee6bf74df4b0cbb275c0c096aab842505fe"},"schema_version":"1.0"},"canonical_sha256":"ff7b32a5c8207c8c7306c9b4d925e1a5ff1ae06df0027bdb5b2bdb5c3850db89","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:11:23.543084Z","signature_b64":"uxXS/uSDuqMBNrelbernYcVnMDJBJNYa/XPRAWlA5BFR0HPdV1HCEMr1ZyOyDQgLYLR0Y3dOdP1ZVHKEu5bRCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ff7b32a5c8207c8c7306c9b4d925e1a5ff1ae06df0027bdb5b2bdb5c3850db89","last_reissued_at":"2026-07-05T00:11:23.542549Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:11:23.542549Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1910.04870","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":"2026-07-05T00:11:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3g4d8OTY5xoGeuAN09kUXwgBDkJx9UqGRBsggVPTAUDksShasgPH2AM9m8fJbYlVlCk+TH/MDGot9kxmk2ouBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T05:10:24.853259Z"},"content_sha256":"7c9c1208bf542535eea1ac1ee9646df5da8b70cf735679e028ab88b45ccce240","schema_version":"1.0","event_id":"sha256:7c9c1208bf542535eea1ac1ee9646df5da8b70cf735679e028ab88b45ccce240"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:755TFJOIEB6IY4YGZG2NSJPBUX","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","stat.ML"],"primary_cat":"cs.CV","authors_text":"Fabrice Meriaudeau, Rachel Blin, Samia Ainouz, St\\'ephane Canu","submitted_at":"2019-10-02T13:47:46Z","abstract_excerpt":"Object detection in road scenes is necessary to develop both autonomous vehicles and driving assistance systems. Even if deep neural networks for recognition task have shown great performances using conventional images, they fail to detect objects in road scenes in complex acquisition situations. In contrast, polarization images, characterizing the light wave, can robustly describe important physical properties of the object even under poor illumination or strong reflections. This paper shows how non-conventional polarimetric imaging modality overcomes the classical methods for object detectio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.04870","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/1910.04870/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":"2026-07-05T00:11:23Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UkiDYZY4RBW2+Te42PJYmbWHl23ESWl0FM0WgGrP+wuMhqjRrB7gkwRDay9Ow2/wh0gQQcXg/NFvdHa736ThCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-20T05:10:24.853758Z"},"content_sha256":"5e7b3d05e02c90a717e74cba52a7e7097ce893c4cab7f15dce616036a62e55e0","schema_version":"1.0","event_id":"sha256:5e7b3d05e02c90a717e74cba52a7e7097ce893c4cab7f15dce616036a62e55e0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/755TFJOIEB6IY4YGZG2NSJPBUX/bundle.json","state_url":"https://pith.science/pith/755TFJOIEB6IY4YGZG2NSJPBUX/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/755TFJOIEB6IY4YGZG2NSJPBUX/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":"2026-08-20T05:10:24Z","links":{"resolver":"https://pith.science/pith/755TFJOIEB6IY4YGZG2NSJPBUX","bundle":"https://pith.science/pith/755TFJOIEB6IY4YGZG2NSJPBUX/bundle.json","state":"https://pith.science/pith/755TFJOIEB6IY4YGZG2NSJPBUX/state.json","well_known_bundle":"https://pith.science/.well-known/pith/755TFJOIEB6IY4YGZG2NSJPBUX/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:755TFJOIEB6IY4YGZG2NSJPBUX","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":"19424999a407b8363f7ccfcfd8865ee6bf74df4b0cbb275c0c096aab842505fe","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-02T13:47:46Z","title_canon_sha256":"6124f973fa5cd34181abf1f70c9203d72f8336da1e4bf920fb81d323a2e8ab4e"},"schema_version":"1.0","source":{"id":"1910.04870","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1910.04870","created_at":"2026-07-05T00:11:23Z"},{"alias_kind":"arxiv_version","alias_value":"1910.04870v1","created_at":"2026-07-05T00:11:23Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1910.04870","created_at":"2026-07-05T00:11:23Z"},{"alias_kind":"pith_short_12","alias_value":"755TFJOIEB6I","created_at":"2026-07-05T00:11:23Z"},{"alias_kind":"pith_short_16","alias_value":"755TFJOIEB6IY4YG","created_at":"2026-07-05T00:11:23Z"},{"alias_kind":"pith_short_8","alias_value":"755TFJOI","created_at":"2026-07-05T00:11:23Z"}],"graph_snapshots":[{"event_id":"sha256:5e7b3d05e02c90a717e74cba52a7e7097ce893c4cab7f15dce616036a62e55e0","target":"graph","created_at":"2026-07-05T00:11:23Z","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/1910.04870/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Object detection in road scenes is necessary to develop both autonomous vehicles and driving assistance systems. Even if deep neural networks for recognition task have shown great performances using conventional images, they fail to detect objects in road scenes in complex acquisition situations. In contrast, polarization images, characterizing the light wave, can robustly describe important physical properties of the object even under poor illumination or strong reflections. This paper shows how non-conventional polarimetric imaging modality overcomes the classical methods for object detectio","authors_text":"Fabrice Meriaudeau, Rachel Blin, Samia Ainouz, St\\'ephane Canu","cross_cats":["cs.LG","stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-02T13:47:46Z","title":"Road scenes analysis in adverse weather conditions by polarization-encoded images and adapted deep learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1910.04870","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":"sha256:7c9c1208bf542535eea1ac1ee9646df5da8b70cf735679e028ab88b45ccce240","target":"record","created_at":"2026-07-05T00:11:23Z","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":"19424999a407b8363f7ccfcfd8865ee6bf74df4b0cbb275c0c096aab842505fe","cross_cats_sorted":["cs.LG","stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-10-02T13:47:46Z","title_canon_sha256":"6124f973fa5cd34181abf1f70c9203d72f8336da1e4bf920fb81d323a2e8ab4e"},"schema_version":"1.0","source":{"id":"1910.04870","kind":"arxiv","version":1}},"canonical_sha256":"ff7b32a5c8207c8c7306c9b4d925e1a5ff1ae06df0027bdb5b2bdb5c3850db89","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ff7b32a5c8207c8c7306c9b4d925e1a5ff1ae06df0027bdb5b2bdb5c3850db89","first_computed_at":"2026-07-05T00:11:23.542549Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:11:23.542549Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uxXS/uSDuqMBNrelbernYcVnMDJBJNYa/XPRAWlA5BFR0HPdV1HCEMr1ZyOyDQgLYLR0Y3dOdP1ZVHKEu5bRCw==","signature_status":"signed_v1","signed_at":"2026-07-05T00:11:23.543084Z","signed_message":"canonical_sha256_bytes"},"source_id":"1910.04870","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7c9c1208bf542535eea1ac1ee9646df5da8b70cf735679e028ab88b45ccce240","sha256:5e7b3d05e02c90a717e74cba52a7e7097ce893c4cab7f15dce616036a62e55e0"],"state_sha256":"0f2fac28c6925341c6d3e844ab9a47078b28487961faed1f6f0ab7d5b2ddc670"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/lT68bdYm6UHQfVfiNokRHmBBzjHBU/fi+7Fn57TGQAqqrl/fMVf4XSMtIaCd6z0KPDuu5vEz9hdNE5hRqHKCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-20T05:10:24.857109Z","bundle_sha256":"fc6b1cbe837efdb85f5a64368d963406369e38f4c42f8d7303d186f3f4013030"}}