{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:UJCG2HH6PU7NZIJGDWXF2BTIHK","short_pith_number":"pith:UJCG2HH6","schema_version":"1.0","canonical_sha256":"a2446d1cfe7d3edca1261dae5d06683aa042dd3a6fabe0c1b99ac7df6e9dde6e","source":{"kind":"arxiv","id":"2608.02678","version":1},"attestation_state":"computed","paper":{"title":"DenialRAG: Single-Document RAG Poisoning via Embedded Parametric Denial","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CR","authors_text":"Abay Zhurekbay, Fan Li, Tao Liu","submitted_at":"2026-08-02T20:33:05Z","abstract_excerpt":"Retrieval-augmented generation (RAG) systems are vulnerable to corpus poisoning: an attacker who inserts a crafted document into the retrieval corpus can steer the underlying large language model (LLM) toward an attacker-chosen wrong answer. Prior single-document attacks typically avoid explicitly naming and refuting the correct answer inside the poisoned passage. In this paper, we examine a complementary design and propose \\emph{DenialRAG}, a single-document poisoning attack that explicitly names the correct answer, denies it, and presents an attacker-controlled explanation for favoring the w"},"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":"2608.02678","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CR","submitted_at":"2026-08-02T20:33:05Z","cross_cats_sorted":["cs.AI","cs.LG"],"title_canon_sha256":"9d286896511815c1216dde706510c0c3364e643142d61f5eb42b0cf797d79956","abstract_canon_sha256":"a2102782fa98d13891cc88f51c246e68c6a35ac705a160997b26f6540c3c4867"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-05T00:39:01.694217Z","signature_b64":"riuOwqUSM8gVNvpD542hjyBtbLYylxxrf4svinBUlj7oA/O+PEw53kuTohgqbt6bSwo1O0qFSlcdnaJhO6v4BA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a2446d1cfe7d3edca1261dae5d06683aa042dd3a6fabe0c1b99ac7df6e9dde6e","last_reissued_at":"2026-08-05T00:39:01.678203Z","signature_status":"signed_v1","first_computed_at":"2026-08-05T00:39:01.678203Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DenialRAG: Single-Document RAG Poisoning via Embedded Parametric Denial","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.LG"],"primary_cat":"cs.CR","authors_text":"Abay Zhurekbay, Fan Li, Tao Liu","submitted_at":"2026-08-02T20:33:05Z","abstract_excerpt":"Retrieval-augmented generation (RAG) systems are vulnerable to corpus poisoning: an attacker who inserts a crafted document into the retrieval corpus can steer the underlying large language model (LLM) toward an attacker-chosen wrong answer. Prior single-document attacks typically avoid explicitly naming and refuting the correct answer inside the poisoned passage. In this paper, we examine a complementary design and propose \\emph{DenialRAG}, a single-document poisoning attack that explicitly names the correct answer, denies it, and presents an attacker-controlled explanation for favoring the w"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.02678","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/2608.02678/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":"2608.02678","created_at":"2026-08-05T00:39:01.688889+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.02678v1","created_at":"2026-08-05T00:39:01.688889+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.02678","created_at":"2026-08-05T00:39:01.688889+00:00"},{"alias_kind":"pith_short_12","alias_value":"UJCG2HH6PU7N","created_at":"2026-08-05T00:39:01.688889+00:00"},{"alias_kind":"pith_short_16","alias_value":"UJCG2HH6PU7NZIJG","created_at":"2026-08-05T00:39:01.688889+00:00"},{"alias_kind":"pith_short_8","alias_value":"UJCG2HH6","created_at":"2026-08-05T00:39:01.688889+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/UJCG2HH6PU7NZIJGDWXF2BTIHK","json":"https://pith.science/pith/UJCG2HH6PU7NZIJGDWXF2BTIHK.json","graph_json":"https://pith.science/api/pith-number/UJCG2HH6PU7NZIJGDWXF2BTIHK/graph.json","events_json":"https://pith.science/api/pith-number/UJCG2HH6PU7NZIJGDWXF2BTIHK/events.json","paper":"https://pith.science/paper/UJCG2HH6"},"agent_actions":{"view_html":"https://pith.science/pith/UJCG2HH6PU7NZIJGDWXF2BTIHK","download_json":"https://pith.science/pith/UJCG2HH6PU7NZIJGDWXF2BTIHK.json","view_paper":"https://pith.science/paper/UJCG2HH6","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.02678&json=true","fetch_graph":"https://pith.science/api/pith-number/UJCG2HH6PU7NZIJGDWXF2BTIHK/graph.json","fetch_events":"https://pith.science/api/pith-number/UJCG2HH6PU7NZIJGDWXF2BTIHK/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/UJCG2HH6PU7NZIJGDWXF2BTIHK/action/timestamp_anchor","attest_storage":"https://pith.science/pith/UJCG2HH6PU7NZIJGDWXF2BTIHK/action/storage_attestation","attest_author":"https://pith.science/pith/UJCG2HH6PU7NZIJGDWXF2BTIHK/action/author_attestation","sign_citation":"https://pith.science/pith/UJCG2HH6PU7NZIJGDWXF2BTIHK/action/citation_signature","submit_replication":"https://pith.science/pith/UJCG2HH6PU7NZIJGDWXF2BTIHK/action/replication_record"}},"created_at":"2026-08-05T00:39:01.688889+00:00","updated_at":"2026-08-05T00:39:01.688889+00:00"}