{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:WEKV2MAXCRSPQGQ3OQT65XATMM","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":"6a2105aa4536a6615a0d4d722e76ef4dbc18c72dd3890a2b73048ddcebf9f4e2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T09:30:56Z","title_canon_sha256":"3c17f23c995dc41aeab73098d678c2205aa27537aa99f44ac6951aa1a2ba09d2"},"schema_version":"1.0","source":{"id":"2403.12572","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2403.12572","created_at":"2026-07-05T07:58:03Z"},{"alias_kind":"arxiv_version","alias_value":"2403.12572v1","created_at":"2026-07-05T07:58:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.12572","created_at":"2026-07-05T07:58:03Z"},{"alias_kind":"pith_short_12","alias_value":"WEKV2MAXCRSP","created_at":"2026-07-05T07:58:03Z"},{"alias_kind":"pith_short_16","alias_value":"WEKV2MAXCRSPQGQ3","created_at":"2026-07-05T07:58:03Z"},{"alias_kind":"pith_short_8","alias_value":"WEKV2MAX","created_at":"2026-07-05T07:58:03Z"}],"graph_snapshots":[{"event_id":"sha256:d97a074b552c50541fae8e46a3ff22e57f6056591c64aca0c55ffdf708370ce8","target":"graph","created_at":"2026-07-05T07:58:03Z","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/2403.12572/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Compound Expression Recognition (CER) plays a crucial role in interpersonal interactions. Due to the existence of Compound Expressions , human emotional expressions are complex, requiring consideration of both local and global facial expressions to make judgments. In this paper, to address this issue, we propose a solution based on ensemble learning methods for Compound Expression Recognition. Specifically, our task is classification, where we train three expression classification models based on convolutional networks, Vision Transformers, and multi-scale local attention networks. Then, throu","authors_text":"Jichao Zhu, Jun Yu, Wangyuan Zhu","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T09:30:56Z","title":"Compound Expression Recognition via Multi Model Ensemble"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.12572","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":"sha256:7cb3254467e7dbb8ee174e44dfecaf907c482ff299f2a9f00c67f80d1a07143f","target":"record","created_at":"2026-07-05T07:58:03Z","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":"6a2105aa4536a6615a0d4d722e76ef4dbc18c72dd3890a2b73048ddcebf9f4e2","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-03-19T09:30:56Z","title_canon_sha256":"3c17f23c995dc41aeab73098d678c2205aa27537aa99f44ac6951aa1a2ba09d2"},"schema_version":"1.0","source":{"id":"2403.12572","kind":"arxiv","version":1}},"canonical_sha256":"b1155d30171464f81a1b7427eedc13633ff8747e1380541c5f7223c84bff07ad","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"b1155d30171464f81a1b7427eedc13633ff8747e1380541c5f7223c84bff07ad","first_computed_at":"2026-07-05T07:58:03.865670Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:58:03.865670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"gGXgotBWJuiUtuJFMY+MkRTqkZW1Jc9GUyk6Hu3m0yghqfrRzaD6rH+5+O6Symlm7wgvqVNX96nzvkUxKpFqCw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:58:03.866108Z","signed_message":"canonical_sha256_bytes"},"source_id":"2403.12572","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7cb3254467e7dbb8ee174e44dfecaf907c482ff299f2a9f00c67f80d1a07143f","sha256:d97a074b552c50541fae8e46a3ff22e57f6056591c64aca0c55ffdf708370ce8"],"state_sha256":"6a111203bae2b3618a5c9c40c16f364775c82641402ae1fe6209a435d4b19be6"}