{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:DYAQE4MM7OG5YCGZ727DSOGMUT","short_pith_number":"pith:DYAQE4MM","canonical_record":{"source":{"id":"2606.07783","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T18:54:23Z","cross_cats_sorted":[],"title_canon_sha256":"c8165c0b43532e44a9e641eeda1f094c8ab150e1c1afe1647189c17e60e403c0","abstract_canon_sha256":"70b51fd8cb7be039ab7581fa786013c30f29808d36188bb08b081042651af47d"},"schema_version":"1.0"},"canonical_sha256":"1e0102718cfb8ddc08d9febe3938cca4fadeed664795501f576c933ed1283b36","source":{"kind":"arxiv","id":"2606.07783","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07783","created_at":"2026-06-09T01:04:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07783v1","created_at":"2026-06-09T01:04:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07783","created_at":"2026-06-09T01:04:52Z"},{"alias_kind":"pith_short_12","alias_value":"DYAQE4MM7OG5","created_at":"2026-06-09T01:04:52Z"},{"alias_kind":"pith_short_16","alias_value":"DYAQE4MM7OG5YCGZ","created_at":"2026-06-09T01:04:52Z"},{"alias_kind":"pith_short_8","alias_value":"DYAQE4MM","created_at":"2026-06-09T01:04:52Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:DYAQE4MM7OG5YCGZ727DSOGMUT","target":"record","payload":{"canonical_record":{"source":{"id":"2606.07783","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T18:54:23Z","cross_cats_sorted":[],"title_canon_sha256":"c8165c0b43532e44a9e641eeda1f094c8ab150e1c1afe1647189c17e60e403c0","abstract_canon_sha256":"70b51fd8cb7be039ab7581fa786013c30f29808d36188bb08b081042651af47d"},"schema_version":"1.0"},"canonical_sha256":"1e0102718cfb8ddc08d9febe3938cca4fadeed664795501f576c933ed1283b36","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-09T01:04:52.125985Z","signature_b64":"aCzOJiGXKy+rR9ozUANbV49hy28cOgOWAPQj3Jy1tfF5Ml2fwrsLbv07ZRLxY5LDOG57POMKl/0qXVhFNPyOBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"1e0102718cfb8ddc08d9febe3938cca4fadeed664795501f576c933ed1283b36","last_reissued_at":"2026-06-09T01:04:52.125579Z","signature_status":"signed_v1","first_computed_at":"2026-06-09T01:04:52.125579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.07783","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-09T01:04:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"42N1mB54+vYVNodEctzO0GMwjnwiHoWNixW5ELUHGXzPyLYXgtQogcN8o0+XZYhoidy5jHb819Dbahv89xBaCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T22:23:56.651956Z"},"content_sha256":"11c6cefecffbe5218c96afe5737290b32e9f74f1a4fbf7a37d03826df68146ec","schema_version":"1.0","event_id":"sha256:11c6cefecffbe5218c96afe5737290b32e9f74f1a4fbf7a37d03826df68146ec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:DYAQE4MM7OG5YCGZ727DSOGMUT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Evaluating RAG Reliability under Clean, Misleading, and Mixed Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Sevgi Yigit-Sert","submitted_at":"2026-06-05T18:54:23Z","abstract_excerpt":"Retrieval-Augmented Generation (RAG) is widely used to improve the factual reliability of large language models (LLMs) by grounding answers in retrieved evidence. In misinformation-rich environments, however, retrieved content may include plausible but incorrect information, raising concerns about the reliability of RAG-based information access systems.\n  In this work, we propose an evaluation protocol to systematically test how the RAG system handles conflicts between parametric knowledge and evidence retrieved from context with varying amounts of misleading information. We target correct ans"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07783","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/2606.07783/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-09T01:04:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e9rj1FnzevKRABVRgUiFVmCt6sAxU2egAi+5iTeVnOeBvHxrnEW9MHSlCDBnpksC2kp8jDmSdYVUDBc8zVniAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-28T22:23:56.652337Z"},"content_sha256":"55bdc56d7fa1bd7f12b59ae9e68e0ea9c3574b994c08972f9adce29f0e4cf258","schema_version":"1.0","event_id":"sha256:55bdc56d7fa1bd7f12b59ae9e68e0ea9c3574b994c08972f9adce29f0e4cf258"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/DYAQE4MM7OG5YCGZ727DSOGMUT/bundle.json","state_url":"https://pith.science/pith/DYAQE4MM7OG5YCGZ727DSOGMUT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/DYAQE4MM7OG5YCGZ727DSOGMUT/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-28T22:23:56Z","links":{"resolver":"https://pith.science/pith/DYAQE4MM7OG5YCGZ727DSOGMUT","bundle":"https://pith.science/pith/DYAQE4MM7OG5YCGZ727DSOGMUT/bundle.json","state":"https://pith.science/pith/DYAQE4MM7OG5YCGZ727DSOGMUT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/DYAQE4MM7OG5YCGZ727DSOGMUT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:DYAQE4MM7OG5YCGZ727DSOGMUT","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":"70b51fd8cb7be039ab7581fa786013c30f29808d36188bb08b081042651af47d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T18:54:23Z","title_canon_sha256":"c8165c0b43532e44a9e641eeda1f094c8ab150e1c1afe1647189c17e60e403c0"},"schema_version":"1.0","source":{"id":"2606.07783","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.07783","created_at":"2026-06-09T01:04:52Z"},{"alias_kind":"arxiv_version","alias_value":"2606.07783v1","created_at":"2026-06-09T01:04:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.07783","created_at":"2026-06-09T01:04:52Z"},{"alias_kind":"pith_short_12","alias_value":"DYAQE4MM7OG5","created_at":"2026-06-09T01:04:52Z"},{"alias_kind":"pith_short_16","alias_value":"DYAQE4MM7OG5YCGZ","created_at":"2026-06-09T01:04:52Z"},{"alias_kind":"pith_short_8","alias_value":"DYAQE4MM","created_at":"2026-06-09T01:04:52Z"}],"graph_snapshots":[{"event_id":"sha256:55bdc56d7fa1bd7f12b59ae9e68e0ea9c3574b994c08972f9adce29f0e4cf258","target":"graph","created_at":"2026-06-09T01:04:52Z","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/2606.07783/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Retrieval-Augmented Generation (RAG) is widely used to improve the factual reliability of large language models (LLMs) by grounding answers in retrieved evidence. In misinformation-rich environments, however, retrieved content may include plausible but incorrect information, raising concerns about the reliability of RAG-based information access systems.\n  In this work, we propose an evaluation protocol to systematically test how the RAG system handles conflicts between parametric knowledge and evidence retrieved from context with varying amounts of misleading information. We target correct ans","authors_text":"Sevgi Yigit-Sert","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T18:54:23Z","title":"Evaluating RAG Reliability under Clean, Misleading, and Mixed Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.07783","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":"sha256:11c6cefecffbe5218c96afe5737290b32e9f74f1a4fbf7a37d03826df68146ec","target":"record","created_at":"2026-06-09T01:04:52Z","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":"70b51fd8cb7be039ab7581fa786013c30f29808d36188bb08b081042651af47d","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-06-05T18:54:23Z","title_canon_sha256":"c8165c0b43532e44a9e641eeda1f094c8ab150e1c1afe1647189c17e60e403c0"},"schema_version":"1.0","source":{"id":"2606.07783","kind":"arxiv","version":1}},"canonical_sha256":"1e0102718cfb8ddc08d9febe3938cca4fadeed664795501f576c933ed1283b36","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1e0102718cfb8ddc08d9febe3938cca4fadeed664795501f576c933ed1283b36","first_computed_at":"2026-06-09T01:04:52.125579Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-09T01:04:52.125579Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aCzOJiGXKy+rR9ozUANbV49hy28cOgOWAPQj3Jy1tfF5Ml2fwrsLbv07ZRLxY5LDOG57POMKl/0qXVhFNPyOBQ==","signature_status":"signed_v1","signed_at":"2026-06-09T01:04:52.125985Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.07783","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:11c6cefecffbe5218c96afe5737290b32e9f74f1a4fbf7a37d03826df68146ec","sha256:55bdc56d7fa1bd7f12b59ae9e68e0ea9c3574b994c08972f9adce29f0e4cf258"],"state_sha256":"eb9161db6e201f4267a8b70418812334af252461782aabb0451575dc8070ea64"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"1fd0DKQQNtXUmfmcVSsddW3EhDCWxSZHz9/yB0YztroZCQhFNjkTwqbAalPK7H7+AvEJQKV00RqYoboB4V87Cw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-28T22:23:56.654390Z","bundle_sha256":"36629c7ddc5b52321b17ebe2e167906da2add5082b6c3d2ed8d653d0b2f3bb88"}}