{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:YORIQKSPTJDF6RBLEKNED7XADP","short_pith_number":"pith:YORIQKSP","canonical_record":{"source":{"id":"2111.07224","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-14T02:38:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"10ce92580a394cda6229cd33b56f601cd8d110eb911208a478ccdc51df885169","abstract_canon_sha256":"d5e2da26edb3837b830eb965c2d57a2576acedad007d4473b51acdce03d621af"},"schema_version":"1.0"},"canonical_sha256":"c3a2882a4f9a465f442b229a41fee01bfbf3a2a84d222b8186096e77adcf337f","source":{"kind":"arxiv","id":"2111.07224","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.07224","created_at":"2026-07-05T03:33:09Z"},{"alias_kind":"arxiv_version","alias_value":"2111.07224v2","created_at":"2026-07-05T03:33:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.07224","created_at":"2026-07-05T03:33:09Z"},{"alias_kind":"pith_short_12","alias_value":"YORIQKSPTJDF","created_at":"2026-07-05T03:33:09Z"},{"alias_kind":"pith_short_16","alias_value":"YORIQKSPTJDF6RBL","created_at":"2026-07-05T03:33:09Z"},{"alias_kind":"pith_short_8","alias_value":"YORIQKSP","created_at":"2026-07-05T03:33:09Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:YORIQKSPTJDF6RBLEKNED7XADP","target":"record","payload":{"canonical_record":{"source":{"id":"2111.07224","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-14T02:38:01Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"10ce92580a394cda6229cd33b56f601cd8d110eb911208a478ccdc51df885169","abstract_canon_sha256":"d5e2da26edb3837b830eb965c2d57a2576acedad007d4473b51acdce03d621af"},"schema_version":"1.0"},"canonical_sha256":"c3a2882a4f9a465f442b229a41fee01bfbf3a2a84d222b8186096e77adcf337f","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:33:09.643758Z","signature_b64":"nyRr8ylBAU7BFcGaTpCZhqOuIR1wQFImFTT8dhO8MBar8hJHklkwyDPMS5G//aUM0GVRlifOc6sDx3nn3iIDBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c3a2882a4f9a465f442b229a41fee01bfbf3a2a84d222b8186096e77adcf337f","last_reissued_at":"2026-07-05T03:33:09.643280Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:33:09.643280Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2111.07224","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:33:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3QImwE2riT8gaLqpRIdFkBSPsaJeGOt6yOhjZBGXjQP6pY09MrnhLiHic1j0ZAT4iwzRFbGqRkQPVbBxNZ4SCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T04:12:12.594528Z"},"content_sha256":"0aa1aaa2d972e7872e1d10673cd334e420f78cd8f021c03b70d1088941b0f154","schema_version":"1.0","event_id":"sha256:0aa1aaa2d972e7872e1d10673cd334e420f78cd8f021c03b70d1088941b0f154"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:YORIQKSPTJDF6RBLEKNED7XADP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Local Multi-Head Channel Self-Attention for Facial Expression Recognition","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Roberto Pecoraro, Sara Gallo, Valerio Basile, Viviana Bono","submitted_at":"2021-11-14T02:38:01Z","abstract_excerpt":"Since the Transformer architecture was introduced in 2017 there has been many attempts to bring the self-attention paradigm in the field of computer vision. In this paper we propose a novel self-attention module that can be easily integrated in virtually every convolutional neural network and that is specifically designed for computer vision, the LHC: Local (multi) Head Channel (self-attention). LHC is based on two main ideas: first, we think that in computer vision the best way to leverage the self-attention paradigm is the channel-wise application instead of the more explored spatial attenti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.07224","kind":"arxiv","version":2},"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/2111.07224/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:33:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DZSx+6ezkqN1QUHf7zOtbOjXKivmgj6KC77kpvf4W9l8b04bb7JFWV4sXFCPp8feBXFpyH5G3wA8HZc68RE/AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T04:12:12.595241Z"},"content_sha256":"425da466e0b6d6f13a4525dedcec7fb4c97dd9be8f55a790206e8d6730feb0e0","schema_version":"1.0","event_id":"sha256:425da466e0b6d6f13a4525dedcec7fb4c97dd9be8f55a790206e8d6730feb0e0"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YORIQKSPTJDF6RBLEKNED7XADP/bundle.json","state_url":"https://pith.science/pith/YORIQKSPTJDF6RBLEKNED7XADP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YORIQKSPTJDF6RBLEKNED7XADP/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":"2026-08-04T04:12:12Z","links":{"resolver":"https://pith.science/pith/YORIQKSPTJDF6RBLEKNED7XADP","bundle":"https://pith.science/pith/YORIQKSPTJDF6RBLEKNED7XADP/bundle.json","state":"https://pith.science/pith/YORIQKSPTJDF6RBLEKNED7XADP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YORIQKSPTJDF6RBLEKNED7XADP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:YORIQKSPTJDF6RBLEKNED7XADP","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":"d5e2da26edb3837b830eb965c2d57a2576acedad007d4473b51acdce03d621af","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-14T02:38:01Z","title_canon_sha256":"10ce92580a394cda6229cd33b56f601cd8d110eb911208a478ccdc51df885169"},"schema_version":"1.0","source":{"id":"2111.07224","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2111.07224","created_at":"2026-07-05T03:33:09Z"},{"alias_kind":"arxiv_version","alias_value":"2111.07224v2","created_at":"2026-07-05T03:33:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2111.07224","created_at":"2026-07-05T03:33:09Z"},{"alias_kind":"pith_short_12","alias_value":"YORIQKSPTJDF","created_at":"2026-07-05T03:33:09Z"},{"alias_kind":"pith_short_16","alias_value":"YORIQKSPTJDF6RBL","created_at":"2026-07-05T03:33:09Z"},{"alias_kind":"pith_short_8","alias_value":"YORIQKSP","created_at":"2026-07-05T03:33:09Z"}],"graph_snapshots":[{"event_id":"sha256:425da466e0b6d6f13a4525dedcec7fb4c97dd9be8f55a790206e8d6730feb0e0","target":"graph","created_at":"2026-07-05T03:33:09Z","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/2111.07224/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Since the Transformer architecture was introduced in 2017 there has been many attempts to bring the self-attention paradigm in the field of computer vision. In this paper we propose a novel self-attention module that can be easily integrated in virtually every convolutional neural network and that is specifically designed for computer vision, the LHC: Local (multi) Head Channel (self-attention). LHC is based on two main ideas: first, we think that in computer vision the best way to leverage the self-attention paradigm is the channel-wise application instead of the more explored spatial attenti","authors_text":"Roberto Pecoraro, Sara Gallo, Valerio Basile, Viviana Bono","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-14T02:38:01Z","title":"Local Multi-Head Channel Self-Attention for Facial Expression Recognition"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2111.07224","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":"sha256:0aa1aaa2d972e7872e1d10673cd334e420f78cd8f021c03b70d1088941b0f154","target":"record","created_at":"2026-07-05T03:33:09Z","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":"d5e2da26edb3837b830eb965c2d57a2576acedad007d4473b51acdce03d621af","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2021-11-14T02:38:01Z","title_canon_sha256":"10ce92580a394cda6229cd33b56f601cd8d110eb911208a478ccdc51df885169"},"schema_version":"1.0","source":{"id":"2111.07224","kind":"arxiv","version":2}},"canonical_sha256":"c3a2882a4f9a465f442b229a41fee01bfbf3a2a84d222b8186096e77adcf337f","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c3a2882a4f9a465f442b229a41fee01bfbf3a2a84d222b8186096e77adcf337f","first_computed_at":"2026-07-05T03:33:09.643280Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:33:09.643280Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nyRr8ylBAU7BFcGaTpCZhqOuIR1wQFImFTT8dhO8MBar8hJHklkwyDPMS5G//aUM0GVRlifOc6sDx3nn3iIDBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T03:33:09.643758Z","signed_message":"canonical_sha256_bytes"},"source_id":"2111.07224","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:0aa1aaa2d972e7872e1d10673cd334e420f78cd8f021c03b70d1088941b0f154","sha256:425da466e0b6d6f13a4525dedcec7fb4c97dd9be8f55a790206e8d6730feb0e0"],"state_sha256":"1bd81de237cbb9137f00ded82c4480f136cafedb72907472d2c08065dce7a6c8"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ClVYYrwUkTvTIW5FZQE3gOIIENxvegDM6a21QDkOH/4UP0kJOS6OqsRJ/kPGyHFJbCFp71E7g4vTD0CuLeBYCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T04:12:12.602134Z","bundle_sha256":"bdf15ccfbec85a37d5b91e9e144e47fdaa1ffea7c78bb49db77db2830b625cc6"}}