{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:GWEYWIRUWHGHARLBLJNF6PRQI6","short_pith_number":"pith:GWEYWIRU","canonical_record":{"source":{"id":"1901.07765","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-01-23T08:18:00Z","cross_cats_sorted":[],"title_canon_sha256":"ee8c12cb3ff8a18d878c96c9a3b65bbb1e7434bbd11b6f9fc1a2cc016a20ec1a","abstract_canon_sha256":"cfca0e36c77e86532e182a274e8b75138da3af549d69055cee3ac4a050d63f12"},"schema_version":"1.0"},"canonical_sha256":"35898b2234b1cc7045615a5a5f3e3047a7c4dab65c58b85b5b695a20793513ce","source":{"kind":"arxiv","id":"1901.07765","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.07765","created_at":"2026-05-17T23:39:25Z"},{"alias_kind":"arxiv_version","alias_value":"1901.07765v1","created_at":"2026-05-17T23:39:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.07765","created_at":"2026-05-17T23:39:25Z"},{"alias_kind":"pith_short_12","alias_value":"GWEYWIRUWHGH","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GWEYWIRUWHGHARLB","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GWEYWIRU","created_at":"2026-05-18T12:33:18Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:GWEYWIRUWHGHARLBLJNF6PRQI6","target":"record","payload":{"canonical_record":{"source":{"id":"1901.07765","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-01-23T08:18:00Z","cross_cats_sorted":[],"title_canon_sha256":"ee8c12cb3ff8a18d878c96c9a3b65bbb1e7434bbd11b6f9fc1a2cc016a20ec1a","abstract_canon_sha256":"cfca0e36c77e86532e182a274e8b75138da3af549d69055cee3ac4a050d63f12"},"schema_version":"1.0"},"canonical_sha256":"35898b2234b1cc7045615a5a5f3e3047a7c4dab65c58b85b5b695a20793513ce","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:39:25.043687Z","signature_b64":"b4FR9vrIONCMz0d/LbW/yURVsLCoObhJQvTyPbjAxHKgj0Nh0phLdyISEfywQE9drpKZ0xQVu6xo0nQDQA5LBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"35898b2234b1cc7045615a5a5f3e3047a7c4dab65c58b85b5b695a20793513ce","last_reissued_at":"2026-05-17T23:39:25.043075Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:39:25.043075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1901.07765","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:39:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"xwGAy6HjCydC93Tijuzh0X98fKNmPrKLD767vRULFkVHgzS7ow4+7lvPQtFeyM+ERx4i33xBpgXJzaZolEZODg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T17:15:56.031435Z"},"content_sha256":"bf9032ff80220a6b210fcafd7d136b7ddea1cb15414129b13b9a28060ad56714","schema_version":"1.0","event_id":"sha256:bf9032ff80220a6b210fcafd7d136b7ddea1cb15414129b13b9a28060ad56714"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:GWEYWIRUWHGHARLBLJNF6PRQI6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guoying Zhao, Wei Peng, Xiaopeng Hong, Yingyue Xu","submitted_at":"2019-01-23T08:18:00Z","abstract_excerpt":"Facial Micro-expression Recognition (MER) distinguishes the underlying emotional states of spontaneous subtle facialexpressions. Automatic MER is challenging because that 1) the intensity of subtle facial muscle movement is extremely lowand 2) the duration of ME is transient.Recent works adopt motion magnification or time interpolation to resolve these issues. Nevertheless, existing works dividethem into two separate modules due to their non-linearity. Though such operation eases the difficulty in implementation, itignores their underlying connections and thus results in inevitable losses in b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.07765","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":""},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:39:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eIyubf1UNZPWjc6eTC0XWbB8sNr7UH5KRzbyBY/v7bpvS/yc8LxMJJ9ByixIEsN1ax55w4bDrF5lTW1te6VWDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-25T17:15:56.032050Z"},"content_sha256":"675fafa16e0d9f178534b19bdf7831cbc6f3752bc97afd81bfffe127467d46f0","schema_version":"1.0","event_id":"sha256:675fafa16e0d9f178534b19bdf7831cbc6f3752bc97afd81bfffe127467d46f0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GWEYWIRUWHGHARLBLJNF6PRQI6/bundle.json","state_url":"https://pith.science/pith/GWEYWIRUWHGHARLBLJNF6PRQI6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GWEYWIRUWHGHARLBLJNF6PRQI6/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-05-25T17:15:56Z","links":{"resolver":"https://pith.science/pith/GWEYWIRUWHGHARLBLJNF6PRQI6","bundle":"https://pith.science/pith/GWEYWIRUWHGHARLBLJNF6PRQI6/bundle.json","state":"https://pith.science/pith/GWEYWIRUWHGHARLBLJNF6PRQI6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GWEYWIRUWHGHARLBLJNF6PRQI6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:GWEYWIRUWHGHARLBLJNF6PRQI6","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":"cfca0e36c77e86532e182a274e8b75138da3af549d69055cee3ac4a050d63f12","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-01-23T08:18:00Z","title_canon_sha256":"ee8c12cb3ff8a18d878c96c9a3b65bbb1e7434bbd11b6f9fc1a2cc016a20ec1a"},"schema_version":"1.0","source":{"id":"1901.07765","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1901.07765","created_at":"2026-05-17T23:39:25Z"},{"alias_kind":"arxiv_version","alias_value":"1901.07765v1","created_at":"2026-05-17T23:39:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1901.07765","created_at":"2026-05-17T23:39:25Z"},{"alias_kind":"pith_short_12","alias_value":"GWEYWIRUWHGH","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_16","alias_value":"GWEYWIRUWHGHARLB","created_at":"2026-05-18T12:33:18Z"},{"alias_kind":"pith_short_8","alias_value":"GWEYWIRU","created_at":"2026-05-18T12:33:18Z"}],"graph_snapshots":[{"event_id":"sha256:675fafa16e0d9f178534b19bdf7831cbc6f3752bc97afd81bfffe127467d46f0","target":"graph","created_at":"2026-05-17T23:39:25Z","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":"Facial Micro-expression Recognition (MER) distinguishes the underlying emotional states of spontaneous subtle facialexpressions. Automatic MER is challenging because that 1) the intensity of subtle facial muscle movement is extremely lowand 2) the duration of ME is transient.Recent works adopt motion magnification or time interpolation to resolve these issues. Nevertheless, existing works dividethem into two separate modules due to their non-linearity. Though such operation eases the difficulty in implementation, itignores their underlying connections and thus results in inevitable losses in b","authors_text":"Guoying Zhao, Wei Peng, Xiaopeng Hong, Yingyue Xu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-01-23T08:18:00Z","title":"A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1901.07765","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:bf9032ff80220a6b210fcafd7d136b7ddea1cb15414129b13b9a28060ad56714","target":"record","created_at":"2026-05-17T23:39:25Z","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":"cfca0e36c77e86532e182a274e8b75138da3af549d69055cee3ac4a050d63f12","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2019-01-23T08:18:00Z","title_canon_sha256":"ee8c12cb3ff8a18d878c96c9a3b65bbb1e7434bbd11b6f9fc1a2cc016a20ec1a"},"schema_version":"1.0","source":{"id":"1901.07765","kind":"arxiv","version":1}},"canonical_sha256":"35898b2234b1cc7045615a5a5f3e3047a7c4dab65c58b85b5b695a20793513ce","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"35898b2234b1cc7045615a5a5f3e3047a7c4dab65c58b85b5b695a20793513ce","first_computed_at":"2026-05-17T23:39:25.043075Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:39:25.043075Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"b4FR9vrIONCMz0d/LbW/yURVsLCoObhJQvTyPbjAxHKgj0Nh0phLdyISEfywQE9drpKZ0xQVu6xo0nQDQA5LBw==","signature_status":"signed_v1","signed_at":"2026-05-17T23:39:25.043687Z","signed_message":"canonical_sha256_bytes"},"source_id":"1901.07765","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bf9032ff80220a6b210fcafd7d136b7ddea1cb15414129b13b9a28060ad56714","sha256:675fafa16e0d9f178534b19bdf7831cbc6f3752bc97afd81bfffe127467d46f0"],"state_sha256":"25791d8baa2fbc53263b5ea751598330109e319e182c9181617e145c22d0d767"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VPg+cDggvk9VUYlc6TZoEL5J2VtzjderaGmg7tTodm/6X47791Wa37vwkJ8Z1VOWof03VKs5Z+ORBD/vgzaMDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-25T17:15:56.035329Z","bundle_sha256":"d469cfd75f4d2c4f6970e5f1039320dc9eb66b97c479a4d9e445dbdf71444697"}}