{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:EEBGUCMD6Y6OCTEXGUTPGFFTM4","short_pith_number":"pith:EEBGUCMD","canonical_record":{"source":{"id":"2508.20408","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-08-28T04:13:51Z","cross_cats_sorted":[],"title_canon_sha256":"e5ce6a1336c38ca40f5e9ef0320f1fd0539dde54dc7c24a94621bd70b992db9a","abstract_canon_sha256":"b1de0f2b52963a5c857143f78c63567e54304d636ddb0ab8ad4ed537e36294b0"},"schema_version":"1.0"},"canonical_sha256":"21026a0983f63ce14c973526f314b3671c5413500af8b67ef24ce195ef201233","source":{"kind":"arxiv","id":"2508.20408","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20408","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20408v1","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20408","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"EEBGUCMD6Y6O","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_16","alias_value":"EEBGUCMD6Y6OCTEX","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_8","alias_value":"EEBGUCMD","created_at":"2026-07-05T12:00:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:EEBGUCMD6Y6OCTEXGUTPGFFTM4","target":"record","payload":{"canonical_record":{"source":{"id":"2508.20408","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-08-28T04:13:51Z","cross_cats_sorted":[],"title_canon_sha256":"e5ce6a1336c38ca40f5e9ef0320f1fd0539dde54dc7c24a94621bd70b992db9a","abstract_canon_sha256":"b1de0f2b52963a5c857143f78c63567e54304d636ddb0ab8ad4ed537e36294b0"},"schema_version":"1.0"},"canonical_sha256":"21026a0983f63ce14c973526f314b3671c5413500af8b67ef24ce195ef201233","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T12:00:36.110940Z","signature_b64":"EakIqLvor4ZfkTdId1Bg7ma2Bg2FWOSXvr08W3pnQj3VpGJ7eZX9xD6v2eJxLcuQ8xjzTtOzu/RmGyXY/CnHAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"21026a0983f63ce14c973526f314b3671c5413500af8b67ef24ce195ef201233","last_reissued_at":"2026-07-05T12:00:36.110461Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T12:00:36.110461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2508.20408","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":"2026-07-05T12:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XCTcD60iWyGgNouUc+kg0/HXdUaeJbBfC0gGmcTSN4LSUrswr1M4odteRbP0tFPr8Y1g744y+Zt7p1cHb3YfCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T07:10:13.968043Z"},"content_sha256":"1e4870865a95ed08323539ad4b7b0bdd99225e2e13eebb3d4381076440d9169b","schema_version":"1.0","event_id":"sha256:1e4870865a95ed08323539ad4b7b0bdd99225e2e13eebb3d4381076440d9169b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:EEBGUCMD6Y6OCTEXGUTPGFFTM4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Haoyu Wu, Kaize Ding, Qingcheng Zeng","submitted_at":"2025-08-28T04:13:51Z","abstract_excerpt":"Dense retrievers and rerankers are central to retrieval-augmented generation (RAG) pipelines, where accurately retrieving factual information is crucial for maintaining system trustworthiness and defending against RAG poisoning. However, little is known about how much factual competence these components inherit or lose from the large language models (LLMs) they are based on. We pair 12 publicly released embedding checkpoints with their original base LLMs and evaluate both sets on a factuality benchmark. Across every model evaluated, the embedding variants achieve markedly lower accuracy than t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20408","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/2508.20408/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":"2026-07-05T12:00:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"tvwJKhBrXfPCZ90Z8BK9QJ/TtFiG90JJ5F93fKy7KrBUyolxfwFC3KXpiAQWBCYqinTHaWEEy7Ta3y97CfLDDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-21T07:10:13.968535Z"},"content_sha256":"d5376a013c78389d386c573d381f463f260c5407500404c16299b2e9858599bd","schema_version":"1.0","event_id":"sha256:d5376a013c78389d386c573d381f463f260c5407500404c16299b2e9858599bd"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/EEBGUCMD6Y6OCTEXGUTPGFFTM4/bundle.json","state_url":"https://pith.science/pith/EEBGUCMD6Y6OCTEXGUTPGFFTM4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/EEBGUCMD6Y6OCTEXGUTPGFFTM4/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":"2026-08-21T07:10:13Z","links":{"resolver":"https://pith.science/pith/EEBGUCMD6Y6OCTEXGUTPGFFTM4","bundle":"https://pith.science/pith/EEBGUCMD6Y6OCTEXGUTPGFFTM4/bundle.json","state":"https://pith.science/pith/EEBGUCMD6Y6OCTEXGUTPGFFTM4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/EEBGUCMD6Y6OCTEXGUTPGFFTM4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:EEBGUCMD6Y6OCTEXGUTPGFFTM4","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":"b1de0f2b52963a5c857143f78c63567e54304d636ddb0ab8ad4ed537e36294b0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-08-28T04:13:51Z","title_canon_sha256":"e5ce6a1336c38ca40f5e9ef0320f1fd0539dde54dc7c24a94621bd70b992db9a"},"schema_version":"1.0","source":{"id":"2508.20408","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2508.20408","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"arxiv_version","alias_value":"2508.20408v1","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.20408","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_12","alias_value":"EEBGUCMD6Y6O","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_16","alias_value":"EEBGUCMD6Y6OCTEX","created_at":"2026-07-05T12:00:36Z"},{"alias_kind":"pith_short_8","alias_value":"EEBGUCMD","created_at":"2026-07-05T12:00:36Z"}],"graph_snapshots":[{"event_id":"sha256:d5376a013c78389d386c573d381f463f260c5407500404c16299b2e9858599bd","target":"graph","created_at":"2026-07-05T12:00:36Z","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/2508.20408/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Dense retrievers and rerankers are central to retrieval-augmented generation (RAG) pipelines, where accurately retrieving factual information is crucial for maintaining system trustworthiness and defending against RAG poisoning. However, little is known about how much factual competence these components inherit or lose from the large language models (LLMs) they are based on. We pair 12 publicly released embedding checkpoints with their original base LLMs and evaluate both sets on a factuality benchmark. Across every model evaluated, the embedding variants achieve markedly lower accuracy than t","authors_text":"Haoyu Wu, Kaize Ding, Qingcheng Zeng","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-08-28T04:13:51Z","title":"Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.20408","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":"sha256:1e4870865a95ed08323539ad4b7b0bdd99225e2e13eebb3d4381076440d9169b","target":"record","created_at":"2026-07-05T12:00:36Z","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":"b1de0f2b52963a5c857143f78c63567e54304d636ddb0ab8ad4ed537e36294b0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2025-08-28T04:13:51Z","title_canon_sha256":"e5ce6a1336c38ca40f5e9ef0320f1fd0539dde54dc7c24a94621bd70b992db9a"},"schema_version":"1.0","source":{"id":"2508.20408","kind":"arxiv","version":1}},"canonical_sha256":"21026a0983f63ce14c973526f314b3671c5413500af8b67ef24ce195ef201233","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"21026a0983f63ce14c973526f314b3671c5413500af8b67ef24ce195ef201233","first_computed_at":"2026-07-05T12:00:36.110461Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T12:00:36.110461Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"EakIqLvor4ZfkTdId1Bg7ma2Bg2FWOSXvr08W3pnQj3VpGJ7eZX9xD6v2eJxLcuQ8xjzTtOzu/RmGyXY/CnHAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T12:00:36.110940Z","signed_message":"canonical_sha256_bytes"},"source_id":"2508.20408","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1e4870865a95ed08323539ad4b7b0bdd99225e2e13eebb3d4381076440d9169b","sha256:d5376a013c78389d386c573d381f463f260c5407500404c16299b2e9858599bd"],"state_sha256":"917928d5d6c87fce65a6735def41bc56cd69d2c77950f0fe98ab51fdd0fb7895"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QhGyD/qwyrFBo2ULNfscdMLrgnuw/gfJUGmp8ac4G5a3OBrXQxWBIJPQqyt/OpO5SZ53rO6cKH827YWQKIGgDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-21T07:10:13.972386Z","bundle_sha256":"2756009246fc2aea89e9776016fe69bd20c0f124e09e65ea5df423cd3a563680"}}