{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:M5HLJ2G7TVWKBO5KW7QTTVIH7D","short_pith_number":"pith:M5HLJ2G7","canonical_record":{"source":{"id":"2006.00878","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-01T12:26:08Z","cross_cats_sorted":[],"title_canon_sha256":"f4c78e92578faaa23e0fbb62050b0c9b8a6d8011c5dfbf931e45469d9a8f836a","abstract_canon_sha256":"59fc5481f79d74e3266cafba333a4f3db8d3fa0994011db50e43bb8c966d4af7"},"schema_version":"1.0"},"canonical_sha256":"674eb4e8df9d6ca0bbaab7e139d507f8f3c814ffa4af52ec66aa5e6b4188910e","source":{"kind":"arxiv","id":"2006.00878","version":5},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.00878","created_at":"2026-07-05T02:11:50Z"},{"alias_kind":"arxiv_version","alias_value":"2006.00878v5","created_at":"2026-07-05T02:11:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.00878","created_at":"2026-07-05T02:11:50Z"},{"alias_kind":"pith_short_12","alias_value":"M5HLJ2G7TVWK","created_at":"2026-07-05T02:11:50Z"},{"alias_kind":"pith_short_16","alias_value":"M5HLJ2G7TVWKBO5K","created_at":"2026-07-05T02:11:50Z"},{"alias_kind":"pith_short_8","alias_value":"M5HLJ2G7","created_at":"2026-07-05T02:11:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:M5HLJ2G7TVWKBO5KW7QTTVIH7D","target":"record","payload":{"canonical_record":{"source":{"id":"2006.00878","kind":"arxiv","version":5},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-01T12:26:08Z","cross_cats_sorted":[],"title_canon_sha256":"f4c78e92578faaa23e0fbb62050b0c9b8a6d8011c5dfbf931e45469d9a8f836a","abstract_canon_sha256":"59fc5481f79d74e3266cafba333a4f3db8d3fa0994011db50e43bb8c966d4af7"},"schema_version":"1.0"},"canonical_sha256":"674eb4e8df9d6ca0bbaab7e139d507f8f3c814ffa4af52ec66aa5e6b4188910e","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T02:11:50.552002Z","signature_b64":"mQZZlztuxaDyhkVIuiwgIrNPP1q6MUylIAtfDeLFTFGP7zbMW3FDWyrMkVaOwrg4URHR194+pMl+pLiDadrzDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"674eb4e8df9d6ca0bbaab7e139d507f8f3c814ffa4af52ec66aa5e6b4188910e","last_reissued_at":"2026-07-05T02:11:50.551583Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T02:11:50.551583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2006.00878","source_version":5,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T02:11:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HJh7IK/+8yL40pdIBvWjJ3Mm7cJn1SiXIGOTpZRv11i2c+nxHGz95PkOfswbc6935m6LbfqY5tAaLT2m1CyXDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T21:24:23.097273Z"},"content_sha256":"c96aa97ef180e4847dbcf23ec110574e47caf124b5618a5f236d6fc951e5915e","schema_version":"1.0","event_id":"sha256:c96aa97ef180e4847dbcf23ec110574e47caf124b5618a5f236d6fc951e5915e"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:M5HLJ2G7TVWKBO5KW7QTTVIH7D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Fanyang Meng, Hanrong Ye, Hong Liu, Xia Li","submitted_at":"2020-06-01T12:26:08Z","abstract_excerpt":"RGB-Infrared person re-identification (RGB-IR Re- ID) is a cross-modality matching problem, where the modality discrepancy is a big challenge. Most existing works use Euclidean metric based constraints to resolve the discrepancy between features of images from different modalities. However, these methods are incapable of learning angularly discriminative feature embedding because Euclidean distance cannot measure the included angle between embedding vectors effectively. As an angularly discriminative feature space is important for classifying the human images based on their embedding vectors, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.00878","kind":"arxiv","version":5},"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/2006.00878/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":"2026-07-05T02:11:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NzxNWze+HwvgCo2T9fKM45GKoSSBNAwJTfpOaSy/n6eRrsiPHF9RheC27gIKuqtfTaGIx9Sgf06GiYfCiQbBDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T21:24:23.097779Z"},"content_sha256":"7c57cc892cd18323dc8ba005df8210a33624dbacda4ed0990b2acd3f55e6040b","schema_version":"1.0","event_id":"sha256:7c57cc892cd18323dc8ba005df8210a33624dbacda4ed0990b2acd3f55e6040b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/M5HLJ2G7TVWKBO5KW7QTTVIH7D/bundle.json","state_url":"https://pith.science/pith/M5HLJ2G7TVWKBO5KW7QTTVIH7D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/M5HLJ2G7TVWKBO5KW7QTTVIH7D/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":"2026-08-18T21:24:23Z","links":{"resolver":"https://pith.science/pith/M5HLJ2G7TVWKBO5KW7QTTVIH7D","bundle":"https://pith.science/pith/M5HLJ2G7TVWKBO5KW7QTTVIH7D/bundle.json","state":"https://pith.science/pith/M5HLJ2G7TVWKBO5KW7QTTVIH7D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/M5HLJ2G7TVWKBO5KW7QTTVIH7D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:M5HLJ2G7TVWKBO5KW7QTTVIH7D","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":"59fc5481f79d74e3266cafba333a4f3db8d3fa0994011db50e43bb8c966d4af7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-01T12:26:08Z","title_canon_sha256":"f4c78e92578faaa23e0fbb62050b0c9b8a6d8011c5dfbf931e45469d9a8f836a"},"schema_version":"1.0","source":{"id":"2006.00878","kind":"arxiv","version":5}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.00878","created_at":"2026-07-05T02:11:50Z"},{"alias_kind":"arxiv_version","alias_value":"2006.00878v5","created_at":"2026-07-05T02:11:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.00878","created_at":"2026-07-05T02:11:50Z"},{"alias_kind":"pith_short_12","alias_value":"M5HLJ2G7TVWK","created_at":"2026-07-05T02:11:50Z"},{"alias_kind":"pith_short_16","alias_value":"M5HLJ2G7TVWKBO5K","created_at":"2026-07-05T02:11:50Z"},{"alias_kind":"pith_short_8","alias_value":"M5HLJ2G7","created_at":"2026-07-05T02:11:50Z"}],"graph_snapshots":[{"event_id":"sha256:7c57cc892cd18323dc8ba005df8210a33624dbacda4ed0990b2acd3f55e6040b","target":"graph","created_at":"2026-07-05T02:11:50Z","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/2006.00878/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"RGB-Infrared person re-identification (RGB-IR Re- ID) is a cross-modality matching problem, where the modality discrepancy is a big challenge. Most existing works use Euclidean metric based constraints to resolve the discrepancy between features of images from different modalities. However, these methods are incapable of learning angularly discriminative feature embedding because Euclidean distance cannot measure the included angle between embedding vectors effectively. As an angularly discriminative feature space is important for classifying the human images based on their embedding vectors, ","authors_text":"Fanyang Meng, Hanrong Ye, Hong Liu, Xia Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-01T12:26:08Z","title":"Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.00878","kind":"arxiv","version":5},"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:c96aa97ef180e4847dbcf23ec110574e47caf124b5618a5f236d6fc951e5915e","target":"record","created_at":"2026-07-05T02:11:50Z","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":"59fc5481f79d74e3266cafba333a4f3db8d3fa0994011db50e43bb8c966d4af7","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2020-06-01T12:26:08Z","title_canon_sha256":"f4c78e92578faaa23e0fbb62050b0c9b8a6d8011c5dfbf931e45469d9a8f836a"},"schema_version":"1.0","source":{"id":"2006.00878","kind":"arxiv","version":5}},"canonical_sha256":"674eb4e8df9d6ca0bbaab7e139d507f8f3c814ffa4af52ec66aa5e6b4188910e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"674eb4e8df9d6ca0bbaab7e139d507f8f3c814ffa4af52ec66aa5e6b4188910e","first_computed_at":"2026-07-05T02:11:50.551583Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:11:50.551583Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mQZZlztuxaDyhkVIuiwgIrNPP1q6MUylIAtfDeLFTFGP7zbMW3FDWyrMkVaOwrg4URHR194+pMl+pLiDadrzDA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:11:50.552002Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.00878","source_kind":"arxiv","source_version":5}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:c96aa97ef180e4847dbcf23ec110574e47caf124b5618a5f236d6fc951e5915e","sha256:7c57cc892cd18323dc8ba005df8210a33624dbacda4ed0990b2acd3f55e6040b"],"state_sha256":"04d15fc20e8e791e159ae908dba46e64f921181a352aa90d4038e335310db775"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vNJPRg7b+7dXHdOtxPtVKLy18zad2Kk5qC4ihXMGfbYrKJrRqJZdatVbR4zlGnPt5OXZSoLp7vi/g7rtXe57AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T21:24:23.103510Z","bundle_sha256":"ed223f2b93641e4424c8227e69bfc26e7c356857ea1d19a7dbb1eca875a784b3"}}