{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:Z6FTPA2PRWYV5NSIQVLXSZUAFR","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":"7cafe8f3ea39d2c1be363b210fbbafea0838678cbb92595f484ec68cc76a10af","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T16:14:10Z","title_canon_sha256":"d75b16c944f25da71892b6f50bafde6d987a434a0f09e4760218ad88f1295c4a"},"schema_version":"1.0","source":{"id":"2405.18322","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.18322","created_at":"2026-07-05T08:24:18Z"},{"alias_kind":"arxiv_version","alias_value":"2405.18322v1","created_at":"2026-07-05T08:24:18Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.18322","created_at":"2026-07-05T08:24:18Z"},{"alias_kind":"pith_short_12","alias_value":"Z6FTPA2PRWYV","created_at":"2026-07-05T08:24:18Z"},{"alias_kind":"pith_short_16","alias_value":"Z6FTPA2PRWYV5NSI","created_at":"2026-07-05T08:24:18Z"},{"alias_kind":"pith_short_8","alias_value":"Z6FTPA2P","created_at":"2026-07-05T08:24:18Z"}],"graph_snapshots":[{"event_id":"sha256:e43d5b84f1802d14f13cd63f5d585735c3607268dd45b5889f58bbbea9699ce9","target":"graph","created_at":"2026-07-05T08:24:18Z","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/2405.18322/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Self-supervised landmark estimation is a challenging task that demands the formation of locally distinct feature representations to identify sparse facial landmarks in the absence of annotated data. To tackle this task, existing state-of-the-art (SOTA) methods (1) extract coarse features from backbones that are trained with instance-level self-supervised learning (SSL) paradigms, which neglect the dense prediction nature of the task, (2) aggregate them into memory-intensive hypercolumn formations, and (3) supervise lightweight projector networks to naively establish full local correspondences ","authors_text":"David B. Lindell, Kejia Yin, Parham Aarabi, Ruowei Jiang, Varshanth R. Rao, Xudong Liu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T16:14:10Z","title":"SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.18322","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:d98cf4ff3d956f35fb3a5b95cdff513d13700fe398457e17efad6989f89fb529","target":"record","created_at":"2026-07-05T08:24:18Z","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":"7cafe8f3ea39d2c1be363b210fbbafea0838678cbb92595f484ec68cc76a10af","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-28T16:14:10Z","title_canon_sha256":"d75b16c944f25da71892b6f50bafde6d987a434a0f09e4760218ad88f1295c4a"},"schema_version":"1.0","source":{"id":"2405.18322","kind":"arxiv","version":1}},"canonical_sha256":"cf8b37834f8db15eb64885577966802c543675379d28591296a6591b756785a5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cf8b37834f8db15eb64885577966802c543675379d28591296a6591b756785a5","first_computed_at":"2026-07-05T08:24:18.450831Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:24:18.450831Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"u4hEBM/rLuGHTyBPX8Rvq8pOQaGCNj5pD1e0PzAmy6IvYtDS+LLV/oscjH7RRIHReE1HU70gbtlPPS1HtGNIAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T08:24:18.451179Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.18322","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d98cf4ff3d956f35fb3a5b95cdff513d13700fe398457e17efad6989f89fb529","sha256:e43d5b84f1802d14f13cd63f5d585735c3607268dd45b5889f58bbbea9699ce9"],"state_sha256":"8f91a428f8dadb1d29042bd652885390f3c182b06abdac28fff64287bb52a53a"}