{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:V4QTC5FNHMSAQ5P4LFIXDIJTRD","short_pith_number":"pith:V4QTC5FN","canonical_record":{"source":{"id":"2408.08979","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-16T19:08:27Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"db04e3f688338d43e95bab077b905fbdbb74adb210ac3503cb34b1f303004b3b","abstract_canon_sha256":"0adfc3e23a921e9a693b0e12e9fa4122bd223798cf93fe005a37453f27eb447c"},"schema_version":"1.0"},"canonical_sha256":"af213174ad3b240875fc595171a13388f699c3c720dcec44e4b7b2bf381e61b7","source":{"kind":"arxiv","id":"2408.08979","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08979","created_at":"2026-07-05T11:19:20Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08979v3","created_at":"2026-07-05T11:19:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08979","created_at":"2026-07-05T11:19:20Z"},{"alias_kind":"pith_short_12","alias_value":"V4QTC5FNHMSA","created_at":"2026-07-05T11:19:20Z"},{"alias_kind":"pith_short_16","alias_value":"V4QTC5FNHMSAQ5P4","created_at":"2026-07-05T11:19:20Z"},{"alias_kind":"pith_short_8","alias_value":"V4QTC5FN","created_at":"2026-07-05T11:19:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:V4QTC5FNHMSAQ5P4LFIXDIJTRD","target":"record","payload":{"canonical_record":{"source":{"id":"2408.08979","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-16T19:08:27Z","cross_cats_sorted":["eess.SP"],"title_canon_sha256":"db04e3f688338d43e95bab077b905fbdbb74adb210ac3503cb34b1f303004b3b","abstract_canon_sha256":"0adfc3e23a921e9a693b0e12e9fa4122bd223798cf93fe005a37453f27eb447c"},"schema_version":"1.0"},"canonical_sha256":"af213174ad3b240875fc595171a13388f699c3c720dcec44e4b7b2bf381e61b7","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:19:20.534831Z","signature_b64":"vZwSEsV2F/wDnPuzA+o460uMKrZXNond8vpqMA5WF2I1JarxbOR/sNf7uvT0QsmJPx24L97ANMOcqpNSMW1oDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"af213174ad3b240875fc595171a13388f699c3c720dcec44e4b7b2bf381e61b7","last_reissued_at":"2026-07-05T11:19:20.534368Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:19:20.534368Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.08979","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:19:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"i+0Olrbw5KjSItYc5Lkh/danCQ9eoDNZgs8BhZ/a/X6VFg7PgfmhXPFk5au4eDoxaZrjdPpmbfBDNQvsSa3FAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T05:56:32.108527Z"},"content_sha256":"1bc823e202f261fe8b210a30f02305098d0b6b50a82b28eb3ef529b902916af7","schema_version":"1.0","event_id":"sha256:1bc823e202f261fe8b210a30f02305098d0b6b50a82b28eb3ef529b902916af7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:V4QTC5FNHMSAQ5P4LFIXDIJTRD","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Electroencephalogram Emotion Recognition via AUC Maximization","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["eess.SP"],"primary_cat":"cs.LG","authors_text":"Minheng Xiao","submitted_at":"2024-08-16T19:08:27Z","abstract_excerpt":"Imbalanced datasets pose significant challenges in areas including neuroscience, cognitive science, and medical diagnostics, where accurately detecting minority classes is essential for robust model performance. This study addresses the issue of class imbalance, using the `Liking' label in the DEAP dataset as an example. Such imbalances are often overlooked by prior research, which typically focuses on the more balanced arousal and valence labels and predominantly uses accuracy metrics to measure model performance. To tackle this issue, we adopt numerical optimization techniques aimed at maxim"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08979","kind":"arxiv","version":3},"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/2408.08979/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":"2026-07-05T11:19:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"MW3OZkjLStuHhqd1hA11foFa1/q2yEVtgd+gNHSjdUKnG7vRWPKTfAboNkcCxEIZUxgWeNQk97HEfTlgcTJkAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T05:56:32.109466Z"},"content_sha256":"f41d80885f3da8d5853a90767d9cdf38f4ee3770e1161831dcab7db6d9584254","schema_version":"1.0","event_id":"sha256:f41d80885f3da8d5853a90767d9cdf38f4ee3770e1161831dcab7db6d9584254"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/V4QTC5FNHMSAQ5P4LFIXDIJTRD/bundle.json","state_url":"https://pith.science/pith/V4QTC5FNHMSAQ5P4LFIXDIJTRD/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/V4QTC5FNHMSAQ5P4LFIXDIJTRD/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":"2026-08-19T05:56:32Z","links":{"resolver":"https://pith.science/pith/V4QTC5FNHMSAQ5P4LFIXDIJTRD","bundle":"https://pith.science/pith/V4QTC5FNHMSAQ5P4LFIXDIJTRD/bundle.json","state":"https://pith.science/pith/V4QTC5FNHMSAQ5P4LFIXDIJTRD/state.json","well_known_bundle":"https://pith.science/.well-known/pith/V4QTC5FNHMSAQ5P4LFIXDIJTRD/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:V4QTC5FNHMSAQ5P4LFIXDIJTRD","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":"0adfc3e23a921e9a693b0e12e9fa4122bd223798cf93fe005a37453f27eb447c","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-16T19:08:27Z","title_canon_sha256":"db04e3f688338d43e95bab077b905fbdbb74adb210ac3503cb34b1f303004b3b"},"schema_version":"1.0","source":{"id":"2408.08979","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.08979","created_at":"2026-07-05T11:19:20Z"},{"alias_kind":"arxiv_version","alias_value":"2408.08979v3","created_at":"2026-07-05T11:19:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.08979","created_at":"2026-07-05T11:19:20Z"},{"alias_kind":"pith_short_12","alias_value":"V4QTC5FNHMSA","created_at":"2026-07-05T11:19:20Z"},{"alias_kind":"pith_short_16","alias_value":"V4QTC5FNHMSAQ5P4","created_at":"2026-07-05T11:19:20Z"},{"alias_kind":"pith_short_8","alias_value":"V4QTC5FN","created_at":"2026-07-05T11:19:20Z"}],"graph_snapshots":[{"event_id":"sha256:f41d80885f3da8d5853a90767d9cdf38f4ee3770e1161831dcab7db6d9584254","target":"graph","created_at":"2026-07-05T11:19:20Z","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/2408.08979/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Imbalanced datasets pose significant challenges in areas including neuroscience, cognitive science, and medical diagnostics, where accurately detecting minority classes is essential for robust model performance. This study addresses the issue of class imbalance, using the `Liking' label in the DEAP dataset as an example. Such imbalances are often overlooked by prior research, which typically focuses on the more balanced arousal and valence labels and predominantly uses accuracy metrics to measure model performance. To tackle this issue, we adopt numerical optimization techniques aimed at maxim","authors_text":"Minheng Xiao","cross_cats":["eess.SP"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-16T19:08:27Z","title":"Electroencephalogram Emotion Recognition via AUC Maximization"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.08979","kind":"arxiv","version":3},"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":"sha256:1bc823e202f261fe8b210a30f02305098d0b6b50a82b28eb3ef529b902916af7","target":"record","created_at":"2026-07-05T11:19:20Z","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":"0adfc3e23a921e9a693b0e12e9fa4122bd223798cf93fe005a37453f27eb447c","cross_cats_sorted":["eess.SP"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2024-08-16T19:08:27Z","title_canon_sha256":"db04e3f688338d43e95bab077b905fbdbb74adb210ac3503cb34b1f303004b3b"},"schema_version":"1.0","source":{"id":"2408.08979","kind":"arxiv","version":3}},"canonical_sha256":"af213174ad3b240875fc595171a13388f699c3c720dcec44e4b7b2bf381e61b7","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"af213174ad3b240875fc595171a13388f699c3c720dcec44e4b7b2bf381e61b7","first_computed_at":"2026-07-05T11:19:20.534368Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:19:20.534368Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"vZwSEsV2F/wDnPuzA+o460uMKrZXNond8vpqMA5WF2I1JarxbOR/sNf7uvT0QsmJPx24L97ANMOcqpNSMW1oDA==","signature_status":"signed_v1","signed_at":"2026-07-05T11:19:20.534831Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.08979","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1bc823e202f261fe8b210a30f02305098d0b6b50a82b28eb3ef529b902916af7","sha256:f41d80885f3da8d5853a90767d9cdf38f4ee3770e1161831dcab7db6d9584254"],"state_sha256":"24c7819f3ab3792b6a5d6a6338a60aa6bec82380f7fe762f2762c721059f9c20"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l0MT5/phYdxrHUdF8+SfYm5Z2SdcPa2qnmIxLlvPhrvAkFL1pbyQHH+4rVogSibhufth2E6UwUuq98QGpZR8Dw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T05:56:32.115490Z","bundle_sha256":"54d1ed1446df26c33aa8db004ff014c9184ae96eacd7246a432a907221d5f80f"}}