{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:ZHVYOXNHUOAXBWCMGHRLSQH7BM","short_pith_number":"pith:ZHVYOXNH","schema_version":"1.0","canonical_sha256":"c9eb875da7a38170d84c31e2b940ff0b3f5b832b27bc4dead97df1bac703e93a","source":{"kind":"arxiv","id":"2503.03417","version":3},"attestation_state":"computed","paper":{"title":"When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ashkan Kazemi, Emanuele La Malfa, Jabez Magomere, Manuel Tonneau, Scott Hale","submitted_at":"2025-03-05T11:47:32Z","abstract_excerpt":"Online misinformation remains a critical challenge, and fact-checkers increasingly rely on claim matching systems that use sentence embedding models to retrieve relevant fact-checks. However, as users interact with claims online, they often introduce edits, and it remains unclear whether current embedding models used in retrieval are robust to such edits. To investigate this, we introduce a perturbation framework that generates valid and natural claim variations, enabling us to assess the robustness of a wide-range of sentence embedding models in a multi-stage retrieval pipeline and evaluate t"},"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":"2503.03417","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2025-03-05T11:47:32Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"cede5810e6e66bd593b7850255db6800f2e495eb384d6cad95945253db463d24","abstract_canon_sha256":"98a73b929b4ae4e28d152aba8d4c3e0bbb84ca4fa595965821d9fa091266647d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:16:32.685131Z","signature_b64":"lHN7scNsJiqsobLNNRttia8f5b56MwgJkvIFxQVz9Plw2INirpsoKBr8wdn7eRFvMAqW5tpueYWSePPzxWOMBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c9eb875da7a38170d84c31e2b940ff0b3f5b832b27bc4dead97df1bac703e93a","last_reissued_at":"2026-07-05T11:16:32.684589Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:16:32.684589Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"When Claims Evolve: Evaluating and Enhancing the Robustness of Embedding Models Against Misinformation Edits","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Ashkan Kazemi, Emanuele La Malfa, Jabez Magomere, Manuel Tonneau, Scott Hale","submitted_at":"2025-03-05T11:47:32Z","abstract_excerpt":"Online misinformation remains a critical challenge, and fact-checkers increasingly rely on claim matching systems that use sentence embedding models to retrieve relevant fact-checks. However, as users interact with claims online, they often introduce edits, and it remains unclear whether current embedding models used in retrieval are robust to such edits. To investigate this, we introduce a perturbation framework that generates valid and natural claim variations, enabling us to assess the robustness of a wide-range of sentence embedding models in a multi-stage retrieval pipeline and evaluate t"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.03417","kind":"arxiv","version":3},"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/2503.03417/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":"2503.03417","created_at":"2026-07-05T11:16:32.684661+00:00"},{"alias_kind":"arxiv_version","alias_value":"2503.03417v3","created_at":"2026-07-05T11:16:32.684661+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.03417","created_at":"2026-07-05T11:16:32.684661+00:00"},{"alias_kind":"pith_short_12","alias_value":"ZHVYOXNHUOAX","created_at":"2026-07-05T11:16:32.684661+00:00"},{"alias_kind":"pith_short_16","alias_value":"ZHVYOXNHUOAXBWCM","created_at":"2026-07-05T11:16:32.684661+00:00"},{"alias_kind":"pith_short_8","alias_value":"ZHVYOXNH","created_at":"2026-07-05T11:16:32.684661+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/ZHVYOXNHUOAXBWCMGHRLSQH7BM","json":"https://pith.science/pith/ZHVYOXNHUOAXBWCMGHRLSQH7BM.json","graph_json":"https://pith.science/api/pith-number/ZHVYOXNHUOAXBWCMGHRLSQH7BM/graph.json","events_json":"https://pith.science/api/pith-number/ZHVYOXNHUOAXBWCMGHRLSQH7BM/events.json","paper":"https://pith.science/paper/ZHVYOXNH"},"agent_actions":{"view_html":"https://pith.science/pith/ZHVYOXNHUOAXBWCMGHRLSQH7BM","download_json":"https://pith.science/pith/ZHVYOXNHUOAXBWCMGHRLSQH7BM.json","view_paper":"https://pith.science/paper/ZHVYOXNH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2503.03417&json=true","fetch_graph":"https://pith.science/api/pith-number/ZHVYOXNHUOAXBWCMGHRLSQH7BM/graph.json","fetch_events":"https://pith.science/api/pith-number/ZHVYOXNHUOAXBWCMGHRLSQH7BM/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/ZHVYOXNHUOAXBWCMGHRLSQH7BM/action/timestamp_anchor","attest_storage":"https://pith.science/pith/ZHVYOXNHUOAXBWCMGHRLSQH7BM/action/storage_attestation","attest_author":"https://pith.science/pith/ZHVYOXNHUOAXBWCMGHRLSQH7BM/action/author_attestation","sign_citation":"https://pith.science/pith/ZHVYOXNHUOAXBWCMGHRLSQH7BM/action/citation_signature","submit_replication":"https://pith.science/pith/ZHVYOXNHUOAXBWCMGHRLSQH7BM/action/replication_record"}},"created_at":"2026-07-05T11:16:32.684661+00:00","updated_at":"2026-07-05T11:16:32.684661+00:00"}