{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XSDI2VFQS4MI34YVFYWJCEGEJZ","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":"f24e732f15c5bf63e5bc1b35bc923469b120fd6c3ea6e774dfbebb3dcdc5fcd8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-27T13:45:12Z","title_canon_sha256":"537899d19bf13673c29e51785894199f6d4e07e9df06fddfebcabbabd8990083"},"schema_version":"1.0","source":{"id":"2607.24435","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.24435","created_at":"2026-07-28T02:24:03Z"},{"alias_kind":"arxiv_version","alias_value":"2607.24435v1","created_at":"2026-07-28T02:24:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.24435","created_at":"2026-07-28T02:24:03Z"},{"alias_kind":"pith_short_12","alias_value":"XSDI2VFQS4MI","created_at":"2026-07-28T02:24:03Z"},{"alias_kind":"pith_short_16","alias_value":"XSDI2VFQS4MI34YV","created_at":"2026-07-28T02:24:03Z"},{"alias_kind":"pith_short_8","alias_value":"XSDI2VFQ","created_at":"2026-07-28T02:24:03Z"}],"graph_snapshots":[{"event_id":"sha256:6081c68b4481650547dc0c3bfd8e7b274dafcb9ec1daccbe279756810886392e","target":"graph","created_at":"2026-07-28T02:24:03Z","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/2607.24435/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models may easily assign personality labels from text, but model interpretability remains an open problem. To address this gap, we introduce LEX-EC, a reusable black-box audit framework combining prevalence and agreement diagnostics with controlled lexical ablation to distinguish marginal-distribution effects from trait-associated signal recoverable under restricted evidence. Using this framework, we illustrate how various text genres may exhibit sharply different profiles: free-form essay text contains the broadest, but still weak, signal; in graduate student introductions, an ","authors_text":"Ashok K. Goel, Brittany Harbison","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-27T13:45:12Z","title":"LEX-EC: A Lexical Evidence-Channel Audit Framework for Zero-Shot LLM Personality Classification in Black-Box Settings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.24435","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":"sha256:5f9b8943091701ba3275725964248f6d2ac9c7138275a5511449c28813b6673b","target":"record","created_at":"2026-07-28T02:24:03Z","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":"f24e732f15c5bf63e5bc1b35bc923469b120fd6c3ea6e774dfbebb3dcdc5fcd8","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-27T13:45:12Z","title_canon_sha256":"537899d19bf13673c29e51785894199f6d4e07e9df06fddfebcabbabd8990083"},"schema_version":"1.0","source":{"id":"2607.24435","kind":"arxiv","version":1}},"canonical_sha256":"bc868d54b097188df3152e2c9110c44e6680e86eaf3b24991e046e2070fe419e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"bc868d54b097188df3152e2c9110c44e6680e86eaf3b24991e046e2070fe419e","first_computed_at":"2026-07-28T02:24:03.188772Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-28T02:24:03.188772Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"sW++AakHIy7fVFT0hfXuZakAOjKOfMiJnEaERN1OeYxrN0u+3GFTw4pN+oy+AtGEQZRF/Mk0M219Yhy99VYeAQ==","signature_status":"signed_v1","signed_at":"2026-07-28T02:24:03.189614Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.24435","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5f9b8943091701ba3275725964248f6d2ac9c7138275a5511449c28813b6673b","sha256:6081c68b4481650547dc0c3bfd8e7b274dafcb9ec1daccbe279756810886392e"],"state_sha256":"b43bd97fdf3da4d32337be7f9b5bd2355e40bbffed5d8f0d77d7cae32e8a8d92"}