{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:TC6BUTNCFYSOX4BZQ3IZ3SWWVU","short_pith_number":"pith:TC6BUTNC","schema_version":"1.0","canonical_sha256":"98bc1a4da22e24ebf03986d19dcad6ad232d1d535dac209eed72a020d7203fc5","source":{"kind":"arxiv","id":"2212.05276","version":1},"attestation_state":"computed","paper":{"title":"Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andreas Vlachos, Rami Aly","submitted_at":"2022-12-10T11:32:38Z","abstract_excerpt":"A key component of fact verification is thevevidence retrieval, often from multiple documents. Recent approaches use dense representations and condition the retrieval of each document on the previously retrieved ones. The latter step is performed over all the documents in the collection, requiring storing their dense representations in an index, thus incurring a high memory footprint. An alternative paradigm is retrieve-and-rerank, where documents are retrieved using methods such as BM25, their sentences are reranked, and further documents are retrieved conditioned on these sentences, reducing"},"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":"2212.05276","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CL","submitted_at":"2022-12-10T11:32:38Z","cross_cats_sorted":[],"title_canon_sha256":"536680c460928b04499bd2b9ccb252da30c513c7a3dc2bff5cc1844336cc08fe","abstract_canon_sha256":"7f8792c9094dbb34fb8e0e37025dc7832d194cc5ca40f0bd0ac26b35ef656b42"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:24:02.180365Z","signature_b64":"gYoifIIuslkw3lCTrfXyU8Ysgj7GlOJH+aNbnpj8/V86XeO3qNGsmtdD07Zs5twZUHRUJqBmbSJqC7TegsMZDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"98bc1a4da22e24ebf03986d19dcad6ad232d1d535dac209eed72a020d7203fc5","last_reissued_at":"2026-07-05T05:24:02.179999Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:24:02.179999Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Natural Logic-guided Autoregressive Multi-hop Document Retrieval for Fact Verification","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Andreas Vlachos, Rami Aly","submitted_at":"2022-12-10T11:32:38Z","abstract_excerpt":"A key component of fact verification is thevevidence retrieval, often from multiple documents. Recent approaches use dense representations and condition the retrieval of each document on the previously retrieved ones. The latter step is performed over all the documents in the collection, requiring storing their dense representations in an index, thus incurring a high memory footprint. An alternative paradigm is retrieve-and-rerank, where documents are retrieved using methods such as BM25, their sentences are reranked, and further documents are retrieved conditioned on these sentences, reducing"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2212.05276","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/2212.05276/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":"2212.05276","created_at":"2026-07-05T05:24:02.180056+00:00"},{"alias_kind":"arxiv_version","alias_value":"2212.05276v1","created_at":"2026-07-05T05:24:02.180056+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2212.05276","created_at":"2026-07-05T05:24:02.180056+00:00"},{"alias_kind":"pith_short_12","alias_value":"TC6BUTNCFYSO","created_at":"2026-07-05T05:24:02.180056+00:00"},{"alias_kind":"pith_short_16","alias_value":"TC6BUTNCFYSOX4BZ","created_at":"2026-07-05T05:24:02.180056+00:00"},{"alias_kind":"pith_short_8","alias_value":"TC6BUTNC","created_at":"2026-07-05T05:24:02.180056+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2608.12877","citing_title":"ReflectFact: Self-Reflective Agents for Improving Comprehension and Reasoning in Multi-Hop Fact Verification","ref_index":27,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/TC6BUTNCFYSOX4BZQ3IZ3SWWVU","json":"https://pith.science/pith/TC6BUTNCFYSOX4BZQ3IZ3SWWVU.json","graph_json":"https://pith.science/api/pith-number/TC6BUTNCFYSOX4BZQ3IZ3SWWVU/graph.json","events_json":"https://pith.science/api/pith-number/TC6BUTNCFYSOX4BZQ3IZ3SWWVU/events.json","paper":"https://pith.science/paper/TC6BUTNC"},"agent_actions":{"view_html":"https://pith.science/pith/TC6BUTNCFYSOX4BZQ3IZ3SWWVU","download_json":"https://pith.science/pith/TC6BUTNCFYSOX4BZQ3IZ3SWWVU.json","view_paper":"https://pith.science/paper/TC6BUTNC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2212.05276&json=true","fetch_graph":"https://pith.science/api/pith-number/TC6BUTNCFYSOX4BZQ3IZ3SWWVU/graph.json","fetch_events":"https://pith.science/api/pith-number/TC6BUTNCFYSOX4BZQ3IZ3SWWVU/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/TC6BUTNCFYSOX4BZQ3IZ3SWWVU/action/timestamp_anchor","attest_storage":"https://pith.science/pith/TC6BUTNCFYSOX4BZQ3IZ3SWWVU/action/storage_attestation","attest_author":"https://pith.science/pith/TC6BUTNCFYSOX4BZQ3IZ3SWWVU/action/author_attestation","sign_citation":"https://pith.science/pith/TC6BUTNCFYSOX4BZQ3IZ3SWWVU/action/citation_signature","submit_replication":"https://pith.science/pith/TC6BUTNCFYSOX4BZQ3IZ3SWWVU/action/replication_record"}},"created_at":"2026-07-05T05:24:02.180056+00:00","updated_at":"2026-07-05T05:24:02.180056+00:00"}