{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:HXQXR3CDNUD2L4LTM4SINZ2JGX","short_pith_number":"pith:HXQXR3CD","schema_version":"1.0","canonical_sha256":"3de178ec436d07a5f173672486e74935c3f0d929b183e4e23f083d907cf22f70","source":{"kind":"arxiv","id":"2605.30526","version":1},"attestation_state":"computed","paper":{"title":"Measuring, Localizing, and Ablating Alignment Signatures in LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Aniket Anand, Dilek Hakkani-T\\\"ur, Janvijay Singh, Nick Feamster, Zhewei Sun","submitted_at":"2026-05-28T20:01:51Z","abstract_excerpt":"Aligned language models often exhibit a recognizable AI-like style, yet its connection to post-training and internal representations remains poorly understood. In this work, we study whether post-training introduces or amplifies AI-like stylistic regularities and whether these regularities have a localized internal signature. To this end, we compare human text, base-model generations, and aligned-model generations under matched human-source prefixes. Aligned generations show lower human-corpus affinity and higher AI-detection rates than base generations, suggesting that post-training shifts ge"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2605.30526","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.LG","submitted_at":"2026-05-28T20:01:51Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"830d8a2fca1459dfdf6a619d3971061e4dbbe828fe3e0d5bb822943f0d1f1e5a","abstract_canon_sha256":"8cdd9958ba37b2bc7d1ff5127b381655c53a74786b1771122cf047aef8ab21c3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-01T01:02:59.214876Z","signature_b64":"n4jmQ67i0yx97dBP5OHWJNvJrxI4sCEozY5YyHI3fumXDs/8FAaEbFsNjmX73uEWd5VSCKi7QHzMxoIV3hw9AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3de178ec436d07a5f173672486e74935c3f0d929b183e4e23f083d907cf22f70","last_reissued_at":"2026-06-01T01:02:59.214009Z","signature_status":"signed_v1","first_computed_at":"2026-06-01T01:02:59.214009Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Measuring, Localizing, and Ablating Alignment Signatures in LLMs","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.LG","authors_text":"Aniket Anand, Dilek Hakkani-T\\\"ur, Janvijay Singh, Nick Feamster, Zhewei Sun","submitted_at":"2026-05-28T20:01:51Z","abstract_excerpt":"Aligned language models often exhibit a recognizable AI-like style, yet its connection to post-training and internal representations remains poorly understood. In this work, we study whether post-training introduces or amplifies AI-like stylistic regularities and whether these regularities have a localized internal signature. To this end, we compare human text, base-model generations, and aligned-model generations under matched human-source prefixes. Aligned generations show lower human-corpus affinity and higher AI-detection rates than base generations, suggesting that post-training shifts ge"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.30526","kind":"arxiv","version":1},"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/2605.30526/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2605.30526","created_at":"2026-06-01T01:02:59.214153+00:00"},{"alias_kind":"arxiv_version","alias_value":"2605.30526v1","created_at":"2026-06-01T01:02:59.214153+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.30526","created_at":"2026-06-01T01:02:59.214153+00:00"},{"alias_kind":"pith_short_12","alias_value":"HXQXR3CDNUD2","created_at":"2026-06-01T01:02:59.214153+00:00"},{"alias_kind":"pith_short_16","alias_value":"HXQXR3CDNUD2L4LT","created_at":"2026-06-01T01:02:59.214153+00:00"},{"alias_kind":"pith_short_8","alias_value":"HXQXR3CD","created_at":"2026-06-01T01:02:59.214153+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/HXQXR3CDNUD2L4LTM4SINZ2JGX","json":"https://pith.science/pith/HXQXR3CDNUD2L4LTM4SINZ2JGX.json","graph_json":"https://pith.science/api/pith-number/HXQXR3CDNUD2L4LTM4SINZ2JGX/graph.json","events_json":"https://pith.science/api/pith-number/HXQXR3CDNUD2L4LTM4SINZ2JGX/events.json","paper":"https://pith.science/paper/HXQXR3CD"},"agent_actions":{"view_html":"https://pith.science/pith/HXQXR3CDNUD2L4LTM4SINZ2JGX","download_json":"https://pith.science/pith/HXQXR3CDNUD2L4LTM4SINZ2JGX.json","view_paper":"https://pith.science/paper/HXQXR3CD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2605.30526&json=true","fetch_graph":"https://pith.science/api/pith-number/HXQXR3CDNUD2L4LTM4SINZ2JGX/graph.json","fetch_events":"https://pith.science/api/pith-number/HXQXR3CDNUD2L4LTM4SINZ2JGX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/HXQXR3CDNUD2L4LTM4SINZ2JGX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/HXQXR3CDNUD2L4LTM4SINZ2JGX/action/storage_attestation","attest_author":"https://pith.science/pith/HXQXR3CDNUD2L4LTM4SINZ2JGX/action/author_attestation","sign_citation":"https://pith.science/pith/HXQXR3CDNUD2L4LTM4SINZ2JGX/action/citation_signature","submit_replication":"https://pith.science/pith/HXQXR3CDNUD2L4LTM4SINZ2JGX/action/replication_record"}},"created_at":"2026-06-01T01:02:59.214153+00:00","updated_at":"2026-06-01T01:02:59.214153+00:00"}