{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:7J23MHISXMSLD7H3EYL63N4A6P","short_pith_number":"pith:7J23MHIS","canonical_record":{"source":{"id":"1801.01486","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-04T18:41:27Z","cross_cats_sorted":[],"title_canon_sha256":"495b8171e145910f2437b3945cc13cb780c7f0d2358e52dbf5dbc9e21c6a4c5a","abstract_canon_sha256":"65e7cd0231a8989fc8bf6c6f33ff17ee2766f68b0086a8cbcab3b13cd1dc7ee1"},"schema_version":"1.0"},"canonical_sha256":"fa75b61d12bb24b1fcfb2617edb780f3dc73d626365a282af951229317e38c52","source":{"kind":"arxiv","id":"1801.01486","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.01486","created_at":"2026-05-18T00:26:41Z"},{"alias_kind":"arxiv_version","alias_value":"1801.01486v1","created_at":"2026-05-18T00:26:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.01486","created_at":"2026-05-18T00:26:41Z"},{"alias_kind":"pith_short_12","alias_value":"7J23MHISXMSL","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7J23MHISXMSLD7H3","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7J23MHIS","created_at":"2026-05-18T12:32:11Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:7J23MHISXMSLD7H3EYL63N4A6P","target":"record","payload":{"canonical_record":{"source":{"id":"1801.01486","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-04T18:41:27Z","cross_cats_sorted":[],"title_canon_sha256":"495b8171e145910f2437b3945cc13cb780c7f0d2358e52dbf5dbc9e21c6a4c5a","abstract_canon_sha256":"65e7cd0231a8989fc8bf6c6f33ff17ee2766f68b0086a8cbcab3b13cd1dc7ee1"},"schema_version":"1.0"},"canonical_sha256":"fa75b61d12bb24b1fcfb2617edb780f3dc73d626365a282af951229317e38c52","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:26:41.978363Z","signature_b64":"USISSROa3KtZiGbnPIsDDdGXYIJFKuMS9wnPcI5nDKcX3oj8UyWIL2v39SItBrJSobMIu60rMBzaRKv+JalgDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"fa75b61d12bb24b1fcfb2617edb780f3dc73d626365a282af951229317e38c52","last_reissued_at":"2026-05-18T00:26:41.977742Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:26:41.977742Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1801.01486","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":"2026-05-18T00:26:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eddSHyX81w21ecaY/5RYiDeZySoYFLre7m9smtgzJZI5dt0qBIRQsk+wsZs4k4Hqof/lKFtk8a3sh/Pkk/6FAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T08:25:55.042339Z"},"content_sha256":"0ccd0b3c95719a67219e662e5f0bee43426c6460090a4d7aa456de78433019d7","schema_version":"1.0","event_id":"sha256:0ccd0b3c95719a67219e662e5f0bee43426c6460090a4d7aa456de78433019d7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:7J23MHISXMSLD7H3EYL63N4A6P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Deep Cross Polarimetric Thermal-to-visible Face Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Ali Dabouei, Hadi Kazemi, Nasser M. Nasrabadi, Seyed Mehdi Iranmanesh","submitted_at":"2018-01-04T18:41:27Z","abstract_excerpt":"In this paper, we present a deep coupled learning frame- work to address the problem of matching polarimetric ther- mal face photos against a gallery of visible faces. Polariza- tion state information of thermal faces provides the miss- ing textural and geometrics details in the thermal face im- agery which exist in visible spectrum. we propose a coupled deep neural network architecture which leverages relatively large visible and thermal datasets to overcome the problem of overfitting and eventually we train it by a polarimetric thermal face dataset which is the first of its kind. The pro- po"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.01486","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":""},"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":"2026-05-18T00:26:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eGVuKXL3hdC0hUF+CHAUDIX6Yyh3yvsxktbLRyUFYNR8iBx+uXCVdfKpJEtLJPTGGfjQ3eFtMg0USyVKm6FCBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-02T08:25:55.042684Z"},"content_sha256":"c674fe8d5d419caf538d6ba024f296b00f91d0e99d3c0dc2e8aed48bdb768151","schema_version":"1.0","event_id":"sha256:c674fe8d5d419caf538d6ba024f296b00f91d0e99d3c0dc2e8aed48bdb768151"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/7J23MHISXMSLD7H3EYL63N4A6P/bundle.json","state_url":"https://pith.science/pith/7J23MHISXMSLD7H3EYL63N4A6P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/7J23MHISXMSLD7H3EYL63N4A6P/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":"2026-06-02T08:25:55Z","links":{"resolver":"https://pith.science/pith/7J23MHISXMSLD7H3EYL63N4A6P","bundle":"https://pith.science/pith/7J23MHISXMSLD7H3EYL63N4A6P/bundle.json","state":"https://pith.science/pith/7J23MHISXMSLD7H3EYL63N4A6P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/7J23MHISXMSLD7H3EYL63N4A6P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:7J23MHISXMSLD7H3EYL63N4A6P","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":"65e7cd0231a8989fc8bf6c6f33ff17ee2766f68b0086a8cbcab3b13cd1dc7ee1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-04T18:41:27Z","title_canon_sha256":"495b8171e145910f2437b3945cc13cb780c7f0d2358e52dbf5dbc9e21c6a4c5a"},"schema_version":"1.0","source":{"id":"1801.01486","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1801.01486","created_at":"2026-05-18T00:26:41Z"},{"alias_kind":"arxiv_version","alias_value":"1801.01486v1","created_at":"2026-05-18T00:26:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1801.01486","created_at":"2026-05-18T00:26:41Z"},{"alias_kind":"pith_short_12","alias_value":"7J23MHISXMSL","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_16","alias_value":"7J23MHISXMSLD7H3","created_at":"2026-05-18T12:32:11Z"},{"alias_kind":"pith_short_8","alias_value":"7J23MHIS","created_at":"2026-05-18T12:32:11Z"}],"graph_snapshots":[{"event_id":"sha256:c674fe8d5d419caf538d6ba024f296b00f91d0e99d3c0dc2e8aed48bdb768151","target":"graph","created_at":"2026-05-18T00:26:41Z","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"},"paper":{"abstract_excerpt":"In this paper, we present a deep coupled learning frame- work to address the problem of matching polarimetric ther- mal face photos against a gallery of visible faces. Polariza- tion state information of thermal faces provides the miss- ing textural and geometrics details in the thermal face im- agery which exist in visible spectrum. we propose a coupled deep neural network architecture which leverages relatively large visible and thermal datasets to overcome the problem of overfitting and eventually we train it by a polarimetric thermal face dataset which is the first of its kind. The pro- po","authors_text":"Ali Dabouei, Hadi Kazemi, Nasser M. Nasrabadi, Seyed Mehdi Iranmanesh","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-04T18:41:27Z","title":"Deep Cross Polarimetric Thermal-to-visible Face Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1801.01486","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":"sha256:0ccd0b3c95719a67219e662e5f0bee43426c6460090a4d7aa456de78433019d7","target":"record","created_at":"2026-05-18T00:26:41Z","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":"65e7cd0231a8989fc8bf6c6f33ff17ee2766f68b0086a8cbcab3b13cd1dc7ee1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-01-04T18:41:27Z","title_canon_sha256":"495b8171e145910f2437b3945cc13cb780c7f0d2358e52dbf5dbc9e21c6a4c5a"},"schema_version":"1.0","source":{"id":"1801.01486","kind":"arxiv","version":1}},"canonical_sha256":"fa75b61d12bb24b1fcfb2617edb780f3dc73d626365a282af951229317e38c52","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"fa75b61d12bb24b1fcfb2617edb780f3dc73d626365a282af951229317e38c52","first_computed_at":"2026-05-18T00:26:41.977742Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:26:41.977742Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"USISSROa3KtZiGbnPIsDDdGXYIJFKuMS9wnPcI5nDKcX3oj8UyWIL2v39SItBrJSobMIu60rMBzaRKv+JalgDQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:26:41.978363Z","signed_message":"canonical_sha256_bytes"},"source_id":"1801.01486","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0ccd0b3c95719a67219e662e5f0bee43426c6460090a4d7aa456de78433019d7","sha256:c674fe8d5d419caf538d6ba024f296b00f91d0e99d3c0dc2e8aed48bdb768151"],"state_sha256":"cbc3a7d4598037afd3348e3052d94f7660d2ea4ec8f390889fee351f05ba80e7"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"g7BlhbtTQ27fs4/rwaPMyqPPt3BMZwhc3YkKJWEjj4cpVSbvsiqJ73iNL0+3y/q3zFE/kmpsKoC+uYNFfmuPCQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-02T08:25:55.044489Z","bundle_sha256":"8825ab5cd4dfa845ba0b8f2da824cd96e2b452d1eb31ace7796af60cb1574233"}}