{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:QKYXTTYGXLEMBCJG2EZAXNGMX6","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":"016508d24a5cf5e7a1a2f8cb31ac0b823ec4ab999440aeb83118732a4e2a8701","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T19:42:10Z","title_canon_sha256":"1398b2619bcb11810d4efa7a1daac5b55a22890da4845610bf00ac20d7d3ab4e"},"schema_version":"1.0","source":{"id":"2606.00129","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.00129","created_at":"2026-06-02T01:03:19Z"},{"alias_kind":"arxiv_version","alias_value":"2606.00129v1","created_at":"2026-06-02T01:03:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.00129","created_at":"2026-06-02T01:03:19Z"},{"alias_kind":"pith_short_12","alias_value":"QKYXTTYGXLEM","created_at":"2026-06-02T01:03:19Z"},{"alias_kind":"pith_short_16","alias_value":"QKYXTTYGXLEMBCJG","created_at":"2026-06-02T01:03:19Z"},{"alias_kind":"pith_short_8","alias_value":"QKYXTTYG","created_at":"2026-06-02T01:03:19Z"}],"graph_snapshots":[{"event_id":"sha256:d86af9525ae079ae4ba37f074ec9daeaf24fc982ebfff349de438909c6405dc0","target":"graph","created_at":"2026-06-02T01:03:19Z","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/2606.00129/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) have emerged as powerful representation learners whose internal features increasingly align with human cognition. We study whether modern LLMs can serve as a lens for understanding neural representations in the human brain, focusing on emotional valence in EEG.\n  We first build a one-dimensional valence direction, the V-axis, from modern LLMs using only nine emotion-evocative sentences. We validate it through zero-shot transfer to sentiment benchmarks and cross-model consistency across fourteen LLMs. We then show that this LLM-derived direction maps onto human neur","authors_text":"Kilichbek Haydarov, Mohamed Elhoseiny, Xuhui Liu, Yousef A. Radwan, Yuqian Fu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T19:42:10Z","title":"A Shared Valence Axis Across Modern LLMs and Human EEG: The Saturation Regularity"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.00129","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:f980e8ee6dc3172be334b2cf79f429cea12495b85c4afbcda449b6ec7cb595e9","target":"record","created_at":"2026-06-02T01:03:19Z","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":"016508d24a5cf5e7a1a2f8cb31ac0b823ec4ab999440aeb83118732a4e2a8701","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T19:42:10Z","title_canon_sha256":"1398b2619bcb11810d4efa7a1daac5b55a22890da4845610bf00ac20d7d3ab4e"},"schema_version":"1.0","source":{"id":"2606.00129","kind":"arxiv","version":1}},"canonical_sha256":"82b179cf06bac8c08926d1320bb4ccbfb173695d3322abb612db7e4f2f52aeeb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82b179cf06bac8c08926d1320bb4ccbfb173695d3322abb612db7e4f2f52aeeb","first_computed_at":"2026-06-02T01:03:19.155278Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-02T01:03:19.155278Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"D1YDYiJzF2wEhT2QZnYtuBfTb4+9g+xk5UWdKA9P6YzRtoFoIpfxK+1Np8XRokI4alCuR3NIMhj7i1t36GpfAg==","signature_status":"signed_v1","signed_at":"2026-06-02T01:03:19.155683Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.00129","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f980e8ee6dc3172be334b2cf79f429cea12495b85c4afbcda449b6ec7cb595e9","sha256:d86af9525ae079ae4ba37f074ec9daeaf24fc982ebfff349de438909c6405dc0"],"state_sha256":"b533b6f1642f3866738c1df0e876c6043343bdfa328b83cb44e13ba4b377a2f3"}