{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:H7YZFSZEVE7MHBDAQ6LJ22JCHT","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":"863857b4b53bf5f0f3309967e5b11332f145a4c0f62d6aa94c79fea64449bd30","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-26T08:27:01Z","title_canon_sha256":"b9723e71952ec6120d9b44881cea202eee8cbe9d133031f350a31c7b96318f63"},"schema_version":"1.0","source":{"id":"1805.10445","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.10445","created_at":"2026-07-04T23:56:46Z"},{"alias_kind":"arxiv_version","alias_value":"1805.10445v2","created_at":"2026-07-04T23:56:46Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.10445","created_at":"2026-07-04T23:56:46Z"},{"alias_kind":"pith_short_12","alias_value":"H7YZFSZEVE7M","created_at":"2026-07-04T23:56:46Z"},{"alias_kind":"pith_short_16","alias_value":"H7YZFSZEVE7MHBDA","created_at":"2026-07-04T23:56:46Z"},{"alias_kind":"pith_short_8","alias_value":"H7YZFSZE","created_at":"2026-07-04T23:56:46Z"}],"graph_snapshots":[{"event_id":"sha256:4100a10f383254238d53092bd785d4d6f9ae733d2ea175cef2a595ace7dff632","target":"graph","created_at":"2026-07-04T23:56:46Z","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/1805.10445/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Age estimation from a single face image has been an essential task in the field of human-computer interaction and computer vision, which has a wide range of practical application values. Accuracy of age estimation of face images in the wild is relatively low for existing methods, because they only take into account the global features, while neglecting the fine-grained features of age-sensitive areas. We propose a novel method based on our attention long short-term memory (AL) network for fine-grained age estimation in the wild, inspired by the fine-grained categories and the visual attention ","authors_text":"Ce Gao, Ke Zhang, Na Liu, Xingfang Yuan, Xinyao Guo, Zhanyu Ma, Zhenbing Zhao","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-26T08:27:01Z","title":"Fine-Grained Age Estimation in the wild with Attention LSTM Networks"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.10445","kind":"arxiv","version":2},"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:f3671fba507b312fa793c6f9135e2716025ccd44f89474699ad393b25570ae79","target":"record","created_at":"2026-07-04T23:56:46Z","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":"863857b4b53bf5f0f3309967e5b11332f145a4c0f62d6aa94c79fea64449bd30","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-05-26T08:27:01Z","title_canon_sha256":"b9723e71952ec6120d9b44881cea202eee8cbe9d133031f350a31c7b96318f63"},"schema_version":"1.0","source":{"id":"1805.10445","kind":"arxiv","version":2}},"canonical_sha256":"3ff192cb24a93ec3846087969d69223cfa5995007eaaec3d584ab2b6689511f7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"3ff192cb24a93ec3846087969d69223cfa5995007eaaec3d584ab2b6689511f7","first_computed_at":"2026-07-04T23:56:46.703163Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-04T23:56:46.703163Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"6I/InTug2HxmcAdg7oSC/uXwn7M1RtO9GNrbZCZGnovJn82I7u2ZbTDM8S4f4BwqCUqC/QSy3BoJayRmJ0PXBw==","signature_status":"signed_v1","signed_at":"2026-07-04T23:56:46.703649Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.10445","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f3671fba507b312fa793c6f9135e2716025ccd44f89474699ad393b25570ae79","sha256:4100a10f383254238d53092bd785d4d6f9ae733d2ea175cef2a595ace7dff632"],"state_sha256":"84d38a7cf011d7ad968481f8fb5d10bda03d2e6c289e5c35303d064b42f8d4ab"}