{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:ASODF6FVSCTA7MVU4M2H54JECK","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":"143327dddeec89f803e46bd5e482cd2c650b8614acfd6bdb12c24944fba00a3c","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-10-30T18:03:12Z","title_canon_sha256":"d91b96fd005e31d4a697f61f2b3616dd5f488fe90495b23bac28401ae35656a9"},"schema_version":"1.0","source":{"id":"1810.12936","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.12936","created_at":"2026-05-18T00:01:52Z"},{"alias_kind":"arxiv_version","alias_value":"1810.12936v1","created_at":"2026-05-18T00:01:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.12936","created_at":"2026-05-18T00:01:52Z"},{"alias_kind":"pith_short_12","alias_value":"ASODF6FVSCTA","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_16","alias_value":"ASODF6FVSCTA7MVU","created_at":"2026-05-18T12:32:13Z"},{"alias_kind":"pith_short_8","alias_value":"ASODF6FV","created_at":"2026-05-18T12:32:13Z"}],"graph_snapshots":[{"event_id":"sha256:f04092cfce2b9bdedaa397cb893c2474eb85122f4f84a3441ca71113610c410a","target":"graph","created_at":"2026-05-18T00:01:52Z","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"},"paper":{"abstract_excerpt":"Pseudo-relevance feedback (PRF) is commonly used to boost the performance of traditional information retrieval (IR) models by using top-ranked documents to identify and weight new query terms, thereby reducing the effect of query-document vocabulary mismatches. While neural retrieval models have recently demonstrated strong results for ad-hoc retrieval, combining them with PRF is not straightforward due to incompatibilities between existing PRF approaches and neural architectures. To bridge this gap, we propose an end-to-end neural PRF framework that can be used with existing neural IR models ","authors_text":"Andrew Yates, Ben He, Canjia Li, Jungang Xu, Kai Hui, Le Sun, Le Wang, Yingfei Sun","cross_cats":["cs.AI","cs.CL"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-10-30T18:03:12Z","title":"NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.12936","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":"sha256:961640d85baf1c2ffbca5e632d4bacf8421747bb1e507a9a77c38a63e0a12b65","target":"record","created_at":"2026-05-18T00:01:52Z","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":"143327dddeec89f803e46bd5e482cd2c650b8614acfd6bdb12c24944fba00a3c","cross_cats_sorted":["cs.AI","cs.CL"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.IR","submitted_at":"2018-10-30T18:03:12Z","title_canon_sha256":"d91b96fd005e31d4a697f61f2b3616dd5f488fe90495b23bac28401ae35656a9"},"schema_version":"1.0","source":{"id":"1810.12936","kind":"arxiv","version":1}},"canonical_sha256":"049c32f8b590a60fb2b4e3347ef12412a5e04a039e3201654e1b17cd2bffde11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"049c32f8b590a60fb2b4e3347ef12412a5e04a039e3201654e1b17cd2bffde11","first_computed_at":"2026-05-18T00:01:52.615196Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:01:52.615196Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ytgEFrHMbqOyoFY8c5RCD5aNrUS2/3FuNVP88vrcNVOg0xxsrN/GCW4pG1PfXZq+Gkbo2YsgzcBdh4Km8ArJAg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:01:52.615561Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.12936","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:961640d85baf1c2ffbca5e632d4bacf8421747bb1e507a9a77c38a63e0a12b65","sha256:f04092cfce2b9bdedaa397cb893c2474eb85122f4f84a3441ca71113610c410a"],"state_sha256":"3316c271987d40b0db041c62f53151fe2e3661ef15724b265f77bf0439db6069"}