{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:7ASFFVG26PB3LIEMUL4W7YG2KO","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":"29b67a7c7e081e50c33c3d918afd28ef615282c1b09e6c234375895f22e5db2c","cross_cats_sorted":["cs.HC","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2025-07-16T20:39:58Z","title_canon_sha256":"452a4e713faa38fbc31422e102a938c0c49c3bed07011b6a107d52488a0f795a"},"schema_version":"1.0","source":{"id":"2507.12625","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2507.12625","created_at":"2026-07-05T11:38:35Z"},{"alias_kind":"arxiv_version","alias_value":"2507.12625v1","created_at":"2026-07-05T11:38:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2507.12625","created_at":"2026-07-05T11:38:35Z"},{"alias_kind":"pith_short_12","alias_value":"7ASFFVG26PB3","created_at":"2026-07-05T11:38:35Z"},{"alias_kind":"pith_short_16","alias_value":"7ASFFVG26PB3LIEM","created_at":"2026-07-05T11:38:35Z"},{"alias_kind":"pith_short_8","alias_value":"7ASFFVG2","created_at":"2026-07-05T11:38:35Z"}],"graph_snapshots":[{"event_id":"sha256:7444310dc10ee51286c0c00e09f38032a3ee89360fc8bf374d9eb04d838ec4cc","target":"graph","created_at":"2026-07-05T11:38:35Z","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/2507.12625/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Recent advances have shown promise in emotion recognition from electroencephalogram (EEG) signals by employing bi-hemispheric neural architectures that incorporate neuroscientific priors into deep learning models. However, interpretability remains a significant limitation for their application in sensitive fields such as affective computing and cognitive modeling. In this work, we introduce a post-hoc interpretability framework tailored to dual-stream EEG classifiers, extending the Local Interpretable Model-Agnostic Explanations (LIME) approach to accommodate structured, bi-hemispheric inputs.","authors_text":"Agnieszka Dubiel, David Freire-Obreg\\'on, Dorota Kami\\'nska, Gholamreza Anbarjafari, Modesto Castrill\\'on-Santana, Prasoon Kumar Vinodkumar","cross_cats":["cs.HC","eess.SP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2025-07-16T20:39:58Z","title":"Mapping Emotions in the Brain: A Bi-Hemispheric Neural Model with Explainable Deep Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2507.12625","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":"sha256:533f1ff3f982e3e5e201ab8e99a4d3dcfb58f1199960135506945e98dca4756c","target":"record","created_at":"2026-07-05T11:38:35Z","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":"29b67a7c7e081e50c33c3d918afd28ef615282c1b09e6c234375895f22e5db2c","cross_cats_sorted":["cs.HC","eess.SP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-bio.NC","submitted_at":"2025-07-16T20:39:58Z","title_canon_sha256":"452a4e713faa38fbc31422e102a938c0c49c3bed07011b6a107d52488a0f795a"},"schema_version":"1.0","source":{"id":"2507.12625","kind":"arxiv","version":1}},"canonical_sha256":"f82452d4daf3c3b5a08ca2f96fe0da53a75744fd8e0ab150923ce352b2df0c51","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f82452d4daf3c3b5a08ca2f96fe0da53a75744fd8e0ab150923ce352b2df0c51","first_computed_at":"2026-07-05T11:38:35.929670Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:38:35.929670Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sF2H5pxKSjqyfTOa+SNl/Zz0akLFiTE2X7mYJ0UYYqAMCSMtIG67RloZJ0wqu3ZZInkdhGrrnRIXf0jNmXMoAg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:38:35.930162Z","signed_message":"canonical_sha256_bytes"},"source_id":"2507.12625","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:533f1ff3f982e3e5e201ab8e99a4d3dcfb58f1199960135506945e98dca4756c","sha256:7444310dc10ee51286c0c00e09f38032a3ee89360fc8bf374d9eb04d838ec4cc"],"state_sha256":"04bac0137f004850d4b303c317143efa66d7f9114c457bf72a723b16099d15a1"}