{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:OBTRRCMP7H7E4ATXOIA7XGMV6N","short_pith_number":"pith:OBTRRCMP","schema_version":"1.0","canonical_sha256":"706718898ff9fe4e02777201fb9995f364d2d8e9f7964bc3cb5b38004a86416b","source":{"kind":"arxiv","id":"2606.25542","version":1},"attestation_state":"computed","paper":{"title":"SAC$^2$-Net: Semantic Anchoring and Complementary-Consensus Fusion for Multimodal Micro-Expression Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Tong Chen, Xuepeng Zheng","submitted_at":"2026-06-24T08:20:03Z","abstract_excerpt":"Micro-expression recognition (MER) is challenging due to subtle facial movements, limited data, and the ambiguous relationship between Action Units (AUs) and emotion categories. Optical flow and motion magnification have been widely used to describe subtle facial dynamics from different perspectives: the former captures local motion displacement, while the latter amplifies weak appearance changes. In this work, we observe that these two modalities often exhibit asymmetric failure patterns: one modality may become noisy, distorted, or uninformative, while the other still preserves discriminativ"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2606.25542","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-06-24T08:20:03Z","cross_cats_sorted":[],"title_canon_sha256":"fdc8f62b7a5910cf8267d467ab30ad5f4fa9499b61139f9fb22de51d98d23680","abstract_canon_sha256":"5d408511b872ed3a34c48fd737e9e4e93804e94c94e01e2816f34d5538e1bda9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-25T01:18:08.351614Z","signature_b64":"c6/u7usjgzATjO2zeCV5c421NYXIiINPO0JkN1Ewi6D+dv7w1SPixwsd5nJWoki7rwVXw3AA6SprpAOviGAPCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"706718898ff9fe4e02777201fb9995f364d2d8e9f7964bc3cb5b38004a86416b","last_reissued_at":"2026-06-25T01:18:08.351185Z","signature_status":"signed_v1","first_computed_at":"2026-06-25T01:18:08.351185Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"SAC$^2$-Net: Semantic Anchoring and Complementary-Consensus Fusion for Multimodal Micro-Expression Recognition","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Tong Chen, Xuepeng Zheng","submitted_at":"2026-06-24T08:20:03Z","abstract_excerpt":"Micro-expression recognition (MER) is challenging due to subtle facial movements, limited data, and the ambiguous relationship between Action Units (AUs) and emotion categories. Optical flow and motion magnification have been widely used to describe subtle facial dynamics from different perspectives: the former captures local motion displacement, while the latter amplifies weak appearance changes. In this work, we observe that these two modalities often exhibit asymmetric failure patterns: one modality may become noisy, distorted, or uninformative, while the other still preserves discriminativ"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.25542","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.25542/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2606.25542","created_at":"2026-06-25T01:18:08.351251+00:00"},{"alias_kind":"arxiv_version","alias_value":"2606.25542v1","created_at":"2026-06-25T01:18:08.351251+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.25542","created_at":"2026-06-25T01:18:08.351251+00:00"},{"alias_kind":"pith_short_12","alias_value":"OBTRRCMP7H7E","created_at":"2026-06-25T01:18:08.351251+00:00"},{"alias_kind":"pith_short_16","alias_value":"OBTRRCMP7H7E4ATX","created_at":"2026-06-25T01:18:08.351251+00:00"},{"alias_kind":"pith_short_8","alias_value":"OBTRRCMP","created_at":"2026-06-25T01:18:08.351251+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/OBTRRCMP7H7E4ATXOIA7XGMV6N","json":"https://pith.science/pith/OBTRRCMP7H7E4ATXOIA7XGMV6N.json","graph_json":"https://pith.science/api/pith-number/OBTRRCMP7H7E4ATXOIA7XGMV6N/graph.json","events_json":"https://pith.science/api/pith-number/OBTRRCMP7H7E4ATXOIA7XGMV6N/events.json","paper":"https://pith.science/paper/OBTRRCMP"},"agent_actions":{"view_html":"https://pith.science/pith/OBTRRCMP7H7E4ATXOIA7XGMV6N","download_json":"https://pith.science/pith/OBTRRCMP7H7E4ATXOIA7XGMV6N.json","view_paper":"https://pith.science/paper/OBTRRCMP","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2606.25542&json=true","fetch_graph":"https://pith.science/api/pith-number/OBTRRCMP7H7E4ATXOIA7XGMV6N/graph.json","fetch_events":"https://pith.science/api/pith-number/OBTRRCMP7H7E4ATXOIA7XGMV6N/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/OBTRRCMP7H7E4ATXOIA7XGMV6N/action/timestamp_anchor","attest_storage":"https://pith.science/pith/OBTRRCMP7H7E4ATXOIA7XGMV6N/action/storage_attestation","attest_author":"https://pith.science/pith/OBTRRCMP7H7E4ATXOIA7XGMV6N/action/author_attestation","sign_citation":"https://pith.science/pith/OBTRRCMP7H7E4ATXOIA7XGMV6N/action/citation_signature","submit_replication":"https://pith.science/pith/OBTRRCMP7H7E4ATXOIA7XGMV6N/action/replication_record"}},"created_at":"2026-06-25T01:18:08.351251+00:00","updated_at":"2026-06-25T01:18:08.351251+00:00"}