{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD","short_pith_number":"pith:FHOTZPTI","canonical_record":{"source":{"id":"2208.08155","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-08-17T08:47:29Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"f83d89a5f402337a74ca902d39f000e85fa805f0c6329b52eb82b745df4f6ca6","abstract_canon_sha256":"e3237ad33cf5aeb1f7635d1ce332479e5f0934ba3fd37b3c09371ed04f65eb96"},"schema_version":"1.0"},"canonical_sha256":"29dd3cbe68666f0cf1763fb254f72f70c04cf17f547f597bbd36e5e4d4df189b","source":{"kind":"arxiv","id":"2208.08155","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.08155","created_at":"2026-07-05T05:06:14Z"},{"alias_kind":"arxiv_version","alias_value":"2208.08155v2","created_at":"2026-07-05T05:06:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.08155","created_at":"2026-07-05T05:06:14Z"},{"alias_kind":"pith_short_12","alias_value":"FHOTZPTIMZXQ","created_at":"2026-07-05T05:06:14Z"},{"alias_kind":"pith_short_16","alias_value":"FHOTZPTIMZXQZ4LW","created_at":"2026-07-05T05:06:14Z"},{"alias_kind":"pith_short_8","alias_value":"FHOTZPTI","created_at":"2026-07-05T05:06:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD","target":"record","payload":{"canonical_record":{"source":{"id":"2208.08155","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-08-17T08:47:29Z","cross_cats_sorted":["cs.CV","cs.LG"],"title_canon_sha256":"f83d89a5f402337a74ca902d39f000e85fa805f0c6329b52eb82b745df4f6ca6","abstract_canon_sha256":"e3237ad33cf5aeb1f7635d1ce332479e5f0934ba3fd37b3c09371ed04f65eb96"},"schema_version":"1.0"},"canonical_sha256":"29dd3cbe68666f0cf1763fb254f72f70c04cf17f547f597bbd36e5e4d4df189b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:06:14.205642Z","signature_b64":"oozdVB0uZ2w2M+c/BkBuB/K5LmxFTTOIWP48frD0MHInZKcI/LJBZLTzUfC9nxBVPVI9JS2uaJzbCA9v3/XuBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"29dd3cbe68666f0cf1763fb254f72f70c04cf17f547f597bbd36e5e4d4df189b","last_reissued_at":"2026-07-05T05:06:14.205216Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:06:14.205216Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2208.08155","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":"2026-07-05T05:06:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZbtJTc913syrPANQA2epdsYSj3siKXK355/+3I79WZC7VEQaPHT7EB6gxJ9s0ko9+LrW2t9iOYbs9VX+canqAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T06:23:23.526979Z"},"content_sha256":"1e3420de62a172bfae34aa3a49da1eef90153ab9027fcd46d737b715db379d36","schema_version":"1.0","event_id":"sha256:1e3420de62a172bfae34aa3a49da1eef90153ab9027fcd46d737b715db379d36"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CV","cs.LG"],"primary_cat":"eess.SP","authors_text":"Craig Michoski, Dongyang Kuang, Rui Guo, Wenting Li","submitted_at":"2022-08-17T08:47:29Z","abstract_excerpt":"In this work, a parameter-efficient attention module is presented for emotion classification using a limited, or relatively small, number of electroencephalogram (EEG) signals. This module is called the Monotonicity Constrained Attention Module (MCAM) due to its capability of incorporating priors on the monotonicity when converting features' Gram matrices into attention matrices for better feature refinement. Our experiments have shown that MCAM's effectiveness is comparable to state-of-the-art attention modules in boosting the backbone network's performance in prediction while requiring less "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.08155","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/2208.08155/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":"2026-07-05T05:06:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QRUPmHrWq8kOxjuuTQAUffmfHKquHf6goKMqtN+VugXQY9jErSB1U2MVK8GE+kJM7I+ALu0lXj+lBU8XMscqAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T06:23:23.527880Z"},"content_sha256":"abfcb5adf17f6762af7241388d16e330add351e189265f1331fcc4e12458f59d","schema_version":"1.0","event_id":"sha256:abfcb5adf17f6762af7241388d16e330add351e189265f1331fcc4e12458f59d"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD/bundle.json","state_url":"https://pith.science/pith/FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD/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":"2026-08-14T06:23:23Z","links":{"resolver":"https://pith.science/pith/FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD","bundle":"https://pith.science/pith/FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD/bundle.json","state":"https://pith.science/pith/FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:FHOTZPTIMZXQZ4LWH6ZFJ5ZPOD","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":"e3237ad33cf5aeb1f7635d1ce332479e5f0934ba3fd37b3c09371ed04f65eb96","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-08-17T08:47:29Z","title_canon_sha256":"f83d89a5f402337a74ca902d39f000e85fa805f0c6329b52eb82b745df4f6ca6"},"schema_version":"1.0","source":{"id":"2208.08155","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2208.08155","created_at":"2026-07-05T05:06:14Z"},{"alias_kind":"arxiv_version","alias_value":"2208.08155v2","created_at":"2026-07-05T05:06:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2208.08155","created_at":"2026-07-05T05:06:14Z"},{"alias_kind":"pith_short_12","alias_value":"FHOTZPTIMZXQ","created_at":"2026-07-05T05:06:14Z"},{"alias_kind":"pith_short_16","alias_value":"FHOTZPTIMZXQZ4LW","created_at":"2026-07-05T05:06:14Z"},{"alias_kind":"pith_short_8","alias_value":"FHOTZPTI","created_at":"2026-07-05T05:06:14Z"}],"graph_snapshots":[{"event_id":"sha256:abfcb5adf17f6762af7241388d16e330add351e189265f1331fcc4e12458f59d","target":"graph","created_at":"2026-07-05T05:06:14Z","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/2208.08155/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this work, a parameter-efficient attention module is presented for emotion classification using a limited, or relatively small, number of electroencephalogram (EEG) signals. This module is called the Monotonicity Constrained Attention Module (MCAM) due to its capability of incorporating priors on the monotonicity when converting features' Gram matrices into attention matrices for better feature refinement. Our experiments have shown that MCAM's effectiveness is comparable to state-of-the-art attention modules in boosting the backbone network's performance in prediction while requiring less ","authors_text":"Craig Michoski, Dongyang Kuang, Rui Guo, Wenting Li","cross_cats":["cs.CV","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-08-17T08:47:29Z","title":"A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2208.08155","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":"sha256:1e3420de62a172bfae34aa3a49da1eef90153ab9027fcd46d737b715db379d36","target":"record","created_at":"2026-07-05T05:06:14Z","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":"e3237ad33cf5aeb1f7635d1ce332479e5f0934ba3fd37b3c09371ed04f65eb96","cross_cats_sorted":["cs.CV","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SP","submitted_at":"2022-08-17T08:47:29Z","title_canon_sha256":"f83d89a5f402337a74ca902d39f000e85fa805f0c6329b52eb82b745df4f6ca6"},"schema_version":"1.0","source":{"id":"2208.08155","kind":"arxiv","version":2}},"canonical_sha256":"29dd3cbe68666f0cf1763fb254f72f70c04cf17f547f597bbd36e5e4d4df189b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"29dd3cbe68666f0cf1763fb254f72f70c04cf17f547f597bbd36e5e4d4df189b","first_computed_at":"2026-07-05T05:06:14.205216Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:06:14.205216Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"oozdVB0uZ2w2M+c/BkBuB/K5LmxFTTOIWP48frD0MHInZKcI/LJBZLTzUfC9nxBVPVI9JS2uaJzbCA9v3/XuBQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:06:14.205642Z","signed_message":"canonical_sha256_bytes"},"source_id":"2208.08155","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e3420de62a172bfae34aa3a49da1eef90153ab9027fcd46d737b715db379d36","sha256:abfcb5adf17f6762af7241388d16e330add351e189265f1331fcc4e12458f59d"],"state_sha256":"c7a65e8be0abb2e23ba01437e7b6ff8484b741a520518844b1e421f8114ec587"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5NyfsrRWbjr1lT0ZGNn/Zqt8r5k2eUbASicEpiOZTvxgsztJftSfouHEgXtoXr7f/gOQs6PDc4lD48WGtdBNAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T06:23:23.533835Z","bundle_sha256":"5f4de31e686783526b07cdf7d14ac8c32dc93c9cd9e0f44a172b7e2a13457e5a"}}