{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:TUHKH6HNQ7KPJA5XMMDFMC3Y2P","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":"52b33c4b43c2d17fbd09563add5f2bb8a9a8d6f035a4e1a617eb152481630f5a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-01-23T21:41:25Z","title_canon_sha256":"4c77bc619856e3b5c26157d457cc9c807367d90a8baabc8e5ac85e7ea7d8494f"},"schema_version":"1.0","source":{"id":"2301.09728","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2301.09728","created_at":"2026-07-05T05:35:05Z"},{"alias_kind":"arxiv_version","alias_value":"2301.09728v1","created_at":"2026-07-05T05:35:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2301.09728","created_at":"2026-07-05T05:35:05Z"},{"alias_kind":"pith_short_12","alias_value":"TUHKH6HNQ7KP","created_at":"2026-07-05T05:35:05Z"},{"alias_kind":"pith_short_16","alias_value":"TUHKH6HNQ7KPJA5X","created_at":"2026-07-05T05:35:05Z"},{"alias_kind":"pith_short_8","alias_value":"TUHKH6HN","created_at":"2026-07-05T05:35:05Z"}],"graph_snapshots":[{"event_id":"sha256:71411bc9f700bab9244a5f716f772e5818d863011ef51fdd02f28bdeddff8a71","target":"graph","created_at":"2026-07-05T05:35:05Z","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/2301.09728/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper we propose a novel approach for combining first-stage lexical retrieval models and Transformer-based re-rankers: we inject the relevance score of the lexical model as a token in the middle of the input of the cross-encoder re-ranker. It was shown in prior work that interpolation between the relevance score of lexical and BERT-based re-rankers may not consistently result in higher effectiveness. Our idea is motivated by the finding that BERT models can capture numeric information. We compare several representations of the BM25 score and inject them as text in the input of four dif","authors_text":"Amin Abolghasemi, Arian Askari, Gabriella Pasi, Suzan Verberne, Wessel Kraaij","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-01-23T21:41:25Z","title":"Injecting the BM25 Score as Text Improves BERT-Based Re-rankers"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2301.09728","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:dd08869487fc478322e8f7cc4cb42e893780a7602dd941ff3f1863f093e34b76","target":"record","created_at":"2026-07-05T05:35:05Z","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":"52b33c4b43c2d17fbd09563add5f2bb8a9a8d6f035a4e1a617eb152481630f5a","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2023-01-23T21:41:25Z","title_canon_sha256":"4c77bc619856e3b5c26157d457cc9c807367d90a8baabc8e5ac85e7ea7d8494f"},"schema_version":"1.0","source":{"id":"2301.09728","kind":"arxiv","version":1}},"canonical_sha256":"9d0ea3f8ed87d4f483b76306560b78d3e57267c6010f384d74aa5095c8f486cb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"9d0ea3f8ed87d4f483b76306560b78d3e57267c6010f384d74aa5095c8f486cb","first_computed_at":"2026-07-05T05:35:05.172159Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:35:05.172159Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"uDLpiFYjWL1oE6l2DuGW7WPpl30h8++UrgkPni6LV5vrhcXdHOpbXGJafmGvkXgTIFYV94O2QKzoYjAc0BW6BA==","signature_status":"signed_v1","signed_at":"2026-07-05T05:35:05.172663Z","signed_message":"canonical_sha256_bytes"},"source_id":"2301.09728","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:dd08869487fc478322e8f7cc4cb42e893780a7602dd941ff3f1863f093e34b76","sha256:71411bc9f700bab9244a5f716f772e5818d863011ef51fdd02f28bdeddff8a71"],"state_sha256":"7a6efafe40dc20f01e90f2fd9a749ead90459362d05526cf69c38b28ee913dc0"}