{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:OKDMSDMNY46BWCUEW4VY7HVYK2","short_pith_number":"pith:OKDMSDMN","canonical_record":{"source":{"id":"1210.1033","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CV","submitted_at":"2012-10-03T09:02:51Z","cross_cats_sorted":[],"title_canon_sha256":"24a47db77c1b0971682f464d7eafd6a2b17a207d1e26e130697345cc54c17915","abstract_canon_sha256":"a378d6e015cfd92bfae3f037b68ff860b4a25f7e1957f40da66c67222f2ae3af"},"schema_version":"1.0"},"canonical_sha256":"7286c90d8dc73c1b0a84b72b8f9eb85684131aa2c0a3b614592257453fe01af6","source":{"kind":"arxiv","id":"1210.1033","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1210.1033","created_at":"2026-05-18T03:44:05Z"},{"alias_kind":"arxiv_version","alias_value":"1210.1033v1","created_at":"2026-05-18T03:44:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.1033","created_at":"2026-05-18T03:44:05Z"},{"alias_kind":"pith_short_12","alias_value":"OKDMSDMNY46B","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_16","alias_value":"OKDMSDMNY46BWCUE","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_8","alias_value":"OKDMSDMN","created_at":"2026-05-18T12:27:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:OKDMSDMNY46BWCUEW4VY7HVYK2","target":"record","payload":{"canonical_record":{"source":{"id":"1210.1033","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CV","submitted_at":"2012-10-03T09:02:51Z","cross_cats_sorted":[],"title_canon_sha256":"24a47db77c1b0971682f464d7eafd6a2b17a207d1e26e130697345cc54c17915","abstract_canon_sha256":"a378d6e015cfd92bfae3f037b68ff860b4a25f7e1957f40da66c67222f2ae3af"},"schema_version":"1.0"},"canonical_sha256":"7286c90d8dc73c1b0a84b72b8f9eb85684131aa2c0a3b614592257453fe01af6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:44:05.739500Z","signature_b64":"wMunzbCje6XVRpqL5QLaS0HRs2VBFx091Nf+9674t3YgDTS5nwOnWoyNzYvq/CPtL8BswSFRPkCVWsqj/VhIAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7286c90d8dc73c1b0a84b72b8f9eb85684131aa2c0a3b614592257453fe01af6","last_reissued_at":"2026-05-18T03:44:05.738605Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:44:05.738605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1210.1033","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":"2026-05-18T03:44:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ibv6lz3zAqkzOjvziSUvTZwHj2KFrYdwN3aEQB45rJZ5CqGn0ZefktMJYTnV/n2gsb95piFKoPFiHJYzbB2/Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T04:59:58.551151Z"},"content_sha256":"72cca174e9cc6633c786a9b1852d4967d858f8c742a510397b49351bff01f53a","schema_version":"1.0","event_id":"sha256:72cca174e9cc6633c786a9b1852d4967d858f8c742a510397b49351bff01f53a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:OKDMSDMNY46BWCUEW4VY7HVYK2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Robust Degraded Face Recognition Using Enhanced Local Frequency Descriptor and Multi-scale Competition","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guangling Sun, Guoqing Li, Xinpeng Zhang","submitted_at":"2012-10-03T09:02:51Z","abstract_excerpt":"Recognizing degraded faces from low resolution and blurred images are common yet challenging task. Local Frequency Descriptor (LFD) has been proved to be effective for this task yet it is extracted from a spatial neighborhood of a pixel of a frequency plane independently regardless of correlations between frequencies. In addition, it uses a fixed window size named single scale of short-term Frequency transform (STFT). To explore the frequency correlations and preserve low resolution and blur insensitive simultaneously, we propose Enhanced LFD in which information in space and frequency is join"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.1033","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":"2026-05-18T03:44:05Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"B4TzFv5HDA0KnLbVAoCnC8rkdKEB6rfofndFKYv2BgrLXBvnSHZDqulzqipT0zgW5RRzLT46TE/cAyvMovs4DA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T04:59:58.551856Z"},"content_sha256":"710cc1961733789c50fe37d082e25dac198700060b9a8cf6e547c642183a7511","schema_version":"1.0","event_id":"sha256:710cc1961733789c50fe37d082e25dac198700060b9a8cf6e547c642183a7511"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/OKDMSDMNY46BWCUEW4VY7HVYK2/bundle.json","state_url":"https://pith.science/pith/OKDMSDMNY46BWCUEW4VY7HVYK2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/OKDMSDMNY46BWCUEW4VY7HVYK2/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":"2026-05-25T04:59:58Z","links":{"resolver":"https://pith.science/pith/OKDMSDMNY46BWCUEW4VY7HVYK2","bundle":"https://pith.science/pith/OKDMSDMNY46BWCUEW4VY7HVYK2/bundle.json","state":"https://pith.science/pith/OKDMSDMNY46BWCUEW4VY7HVYK2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/OKDMSDMNY46BWCUEW4VY7HVYK2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:OKDMSDMNY46BWCUEW4VY7HVYK2","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":"a378d6e015cfd92bfae3f037b68ff860b4a25f7e1957f40da66c67222f2ae3af","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CV","submitted_at":"2012-10-03T09:02:51Z","title_canon_sha256":"24a47db77c1b0971682f464d7eafd6a2b17a207d1e26e130697345cc54c17915"},"schema_version":"1.0","source":{"id":"1210.1033","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1210.1033","created_at":"2026-05-18T03:44:05Z"},{"alias_kind":"arxiv_version","alias_value":"1210.1033v1","created_at":"2026-05-18T03:44:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1210.1033","created_at":"2026-05-18T03:44:05Z"},{"alias_kind":"pith_short_12","alias_value":"OKDMSDMNY46B","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_16","alias_value":"OKDMSDMNY46BWCUE","created_at":"2026-05-18T12:27:16Z"},{"alias_kind":"pith_short_8","alias_value":"OKDMSDMN","created_at":"2026-05-18T12:27:16Z"}],"graph_snapshots":[{"event_id":"sha256:710cc1961733789c50fe37d082e25dac198700060b9a8cf6e547c642183a7511","target":"graph","created_at":"2026-05-18T03:44:05Z","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":"Recognizing degraded faces from low resolution and blurred images are common yet challenging task. Local Frequency Descriptor (LFD) has been proved to be effective for this task yet it is extracted from a spatial neighborhood of a pixel of a frequency plane independently regardless of correlations between frequencies. In addition, it uses a fixed window size named single scale of short-term Frequency transform (STFT). To explore the frequency correlations and preserve low resolution and blur insensitive simultaneously, we propose Enhanced LFD in which information in space and frequency is join","authors_text":"Guangling Sun, Guoqing Li, Xinpeng Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CV","submitted_at":"2012-10-03T09:02:51Z","title":"Robust Degraded Face Recognition Using Enhanced Local Frequency Descriptor and Multi-scale Competition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1210.1033","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":"sha256:72cca174e9cc6633c786a9b1852d4967d858f8c742a510397b49351bff01f53a","target":"record","created_at":"2026-05-18T03:44:05Z","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":"a378d6e015cfd92bfae3f037b68ff860b4a25f7e1957f40da66c67222f2ae3af","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/3.0/","primary_cat":"cs.CV","submitted_at":"2012-10-03T09:02:51Z","title_canon_sha256":"24a47db77c1b0971682f464d7eafd6a2b17a207d1e26e130697345cc54c17915"},"schema_version":"1.0","source":{"id":"1210.1033","kind":"arxiv","version":1}},"canonical_sha256":"7286c90d8dc73c1b0a84b72b8f9eb85684131aa2c0a3b614592257453fe01af6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"7286c90d8dc73c1b0a84b72b8f9eb85684131aa2c0a3b614592257453fe01af6","first_computed_at":"2026-05-18T03:44:05.738605Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:44:05.738605Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"wMunzbCje6XVRpqL5QLaS0HRs2VBFx091Nf+9674t3YgDTS5nwOnWoyNzYvq/CPtL8BswSFRPkCVWsqj/VhIAQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:44:05.739500Z","signed_message":"canonical_sha256_bytes"},"source_id":"1210.1033","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:72cca174e9cc6633c786a9b1852d4967d858f8c742a510397b49351bff01f53a","sha256:710cc1961733789c50fe37d082e25dac198700060b9a8cf6e547c642183a7511"],"state_sha256":"708545036268ea9383efca6330a2e47022b5819c2907025ad788cb2ea31a2410"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"neUIdL0UGPvEA/HEIaXU7Gn1eQJx7Z3n5Vys8NMAGIPWLTuRRPaS5OdY1qKSk5hBBoFtEyOvG/mAydipVKX7DQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T04:59:58.555769Z","bundle_sha256":"7df622bcff5f32876713197b3d0ed447f8599c0a49c2bdbd3d67ad7cc21e2186"}}