{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:BICFR6UIDIJ5YKCPF2LDZDWA76","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":"7aec28ad58f04e0bce320e636a54ee1a36085af63ca548ce000486f62e17b5ff","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-12T14:05:14Z","title_canon_sha256":"7c548ca5f9fdca1d03935eeca62ee038237a3a16ee6476925dea67c56476dda1"},"schema_version":"1.0","source":{"id":"1709.03851","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1709.03851","created_at":"2026-05-18T00:35:15Z"},{"alias_kind":"arxiv_version","alias_value":"1709.03851v2","created_at":"2026-05-18T00:35:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1709.03851","created_at":"2026-05-18T00:35:15Z"},{"alias_kind":"pith_short_12","alias_value":"BICFR6UIDIJ5","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_16","alias_value":"BICFR6UIDIJ5YKCP","created_at":"2026-05-18T12:31:08Z"},{"alias_kind":"pith_short_8","alias_value":"BICFR6UI","created_at":"2026-05-18T12:31:08Z"}],"graph_snapshots":[{"event_id":"sha256:08c91cfb15c0c7b484a874326067f908967b96cd5df55e1449e5eb63f871cbfe","target":"graph","created_at":"2026-05-18T00:35:15Z","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":"Humans focus attention on different face regions when recognizing face attributes. Most existing face attribute classification methods use the whole image as input. Moreover, some of these methods rely on fiducial landmarks to provide defined face parts. In this paper, we propose a cascade network that simultaneously learns to localize face regions specific to attributes and performs attribute classification without alignment. First, a weakly-supervised face region localization network is designed to automatically detect regions (or parts) specific to attributes. Then multiple part-based netwo","authors_text":"Hao Zhou, Hui Ding, Rama Chellappa, Shaohua Kevin Zhou","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-12T14:05:14Z","title":"A Deep Cascade Network for Unaligned Face Attribute Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1709.03851","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:aac3661b939f33e30fcc161570e76ecfb5eddff429514c3f64df4fcc896889e7","target":"record","created_at":"2026-05-18T00:35:15Z","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":"7aec28ad58f04e0bce320e636a54ee1a36085af63ca548ce000486f62e17b5ff","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-09-12T14:05:14Z","title_canon_sha256":"7c548ca5f9fdca1d03935eeca62ee038237a3a16ee6476925dea67c56476dda1"},"schema_version":"1.0","source":{"id":"1709.03851","kind":"arxiv","version":2}},"canonical_sha256":"0a0458fa881a13dc284f2e963c8ec0ffb158649a1885dcaab24cf86e3389e271","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0a0458fa881a13dc284f2e963c8ec0ffb158649a1885dcaab24cf86e3389e271","first_computed_at":"2026-05-18T00:35:15.768822Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:35:15.768822Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"kCSM4ff7tKshUQuZCoNMTOd6DLFfsmWVauEboLUCVs1dBZ3Y7SXPReP5jP0kONozYKvRhn56qfdoaIhbIpi7AA==","signature_status":"signed_v1","signed_at":"2026-05-18T00:35:15.769583Z","signed_message":"canonical_sha256_bytes"},"source_id":"1709.03851","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:aac3661b939f33e30fcc161570e76ecfb5eddff429514c3f64df4fcc896889e7","sha256:08c91cfb15c0c7b484a874326067f908967b96cd5df55e1449e5eb63f871cbfe"],"state_sha256":"853b7ccd408a1c4358f55ff2ae5ad8285a11aa02be348506a802a42f566083ce"}