{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:YVQVQXSN4SYUHKZR4U7HAYQVAB","short_pith_number":"pith:YVQVQXSN","schema_version":"1.0","canonical_sha256":"c561585e4de4b143ab31e53e706215004a1e69b1099a7fff8c75c3c51576d0b1","source":{"kind":"arxiv","id":"2607.01002","version":1},"attestation_state":"computed","paper":{"title":"Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Aryo Pradipta Gema, Beatrice Alex, Pasquale Minervini","submitted_at":"2026-07-01T14:41:07Z","abstract_excerpt":"In long-context use, large language models frequently synthesize answers from the meaning of a relevant context span rather than literally copy-pasting them. Identifying which attention heads perform this synthesis matters for interpreting long-context model behavior. Yet existing detectors miss these heads by construction: they reward heads whose attended token matches the generated token, a literal-copy criterion that captures where a head reads but not what it writes through its output-value (OV) circuit, the very mechanism that carries non-literal retrieval. We introduce Logit-Contribution"},"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":"2607.01002","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-01T14:41:07Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"80bb3096b73273ac5337f952c04680476217758e1d43343cd66422d6642aca70","abstract_canon_sha256":"1ffdbbf62180d81280e9570713904593f88b7e714a50ea9717d6eb81cb373524"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T01:18:25.697123Z","signature_b64":"sVWbNV3e0K/dMpC6+mMJc8+DmCJboi7sx3OvhU/dAtpfi5XHIXOZxRweY/AdGsst2//EyBYdL6Tzfq5TnHTBDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c561585e4de4b143ab31e53e706215004a1e69b1099a7fff8c75c3c51576d0b1","last_reissued_at":"2026-07-02T01:18:25.696710Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T01:18:25.696710Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Logit-Contribution Scoring Identifies Non-Literal Retrieval Heads","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CL","authors_text":"Aryo Pradipta Gema, Beatrice Alex, Pasquale Minervini","submitted_at":"2026-07-01T14:41:07Z","abstract_excerpt":"In long-context use, large language models frequently synthesize answers from the meaning of a relevant context span rather than literally copy-pasting them. Identifying which attention heads perform this synthesis matters for interpreting long-context model behavior. Yet existing detectors miss these heads by construction: they reward heads whose attended token matches the generated token, a literal-copy criterion that captures where a head reads but not what it writes through its output-value (OV) circuit, the very mechanism that carries non-literal retrieval. We introduce Logit-Contribution"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.01002","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/2607.01002/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":"2607.01002","created_at":"2026-07-02T01:18:25.696781+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.01002v1","created_at":"2026-07-02T01:18:25.696781+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.01002","created_at":"2026-07-02T01:18:25.696781+00:00"},{"alias_kind":"pith_short_12","alias_value":"YVQVQXSN4SYU","created_at":"2026-07-02T01:18:25.696781+00:00"},{"alias_kind":"pith_short_16","alias_value":"YVQVQXSN4SYUHKZR","created_at":"2026-07-02T01:18:25.696781+00:00"},{"alias_kind":"pith_short_8","alias_value":"YVQVQXSN","created_at":"2026-07-02T01:18:25.696781+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/YVQVQXSN4SYUHKZR4U7HAYQVAB","json":"https://pith.science/pith/YVQVQXSN4SYUHKZR4U7HAYQVAB.json","graph_json":"https://pith.science/api/pith-number/YVQVQXSN4SYUHKZR4U7HAYQVAB/graph.json","events_json":"https://pith.science/api/pith-number/YVQVQXSN4SYUHKZR4U7HAYQVAB/events.json","paper":"https://pith.science/paper/YVQVQXSN"},"agent_actions":{"view_html":"https://pith.science/pith/YVQVQXSN4SYUHKZR4U7HAYQVAB","download_json":"https://pith.science/pith/YVQVQXSN4SYUHKZR4U7HAYQVAB.json","view_paper":"https://pith.science/paper/YVQVQXSN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.01002&json=true","fetch_graph":"https://pith.science/api/pith-number/YVQVQXSN4SYUHKZR4U7HAYQVAB/graph.json","fetch_events":"https://pith.science/api/pith-number/YVQVQXSN4SYUHKZR4U7HAYQVAB/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/YVQVQXSN4SYUHKZR4U7HAYQVAB/action/timestamp_anchor","attest_storage":"https://pith.science/pith/YVQVQXSN4SYUHKZR4U7HAYQVAB/action/storage_attestation","attest_author":"https://pith.science/pith/YVQVQXSN4SYUHKZR4U7HAYQVAB/action/author_attestation","sign_citation":"https://pith.science/pith/YVQVQXSN4SYUHKZR4U7HAYQVAB/action/citation_signature","submit_replication":"https://pith.science/pith/YVQVQXSN4SYUHKZR4U7HAYQVAB/action/replication_record"}},"created_at":"2026-07-02T01:18:25.696781+00:00","updated_at":"2026-07-02T01:18:25.696781+00:00"}