{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:PWXSX5V3ILNZIE4GG7MEYUK67W","short_pith_number":"pith:PWXSX5V3","schema_version":"1.0","canonical_sha256":"7daf2bf6bb42db94138637d84c515efd9aa829a89227ee8d3a41c5292e0077a5","source":{"kind":"arxiv","id":"2505.03676","version":1},"attestation_state":"computed","paper":{"title":"Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.IR","authors_text":"Arthur Satouf, Benjamin Piwowarski, Gabriel Ben Zenou, Habiboulaye Amadou Boubacar, Pablo Piantanida","submitted_at":"2025-05-06T16:21:10Z","abstract_excerpt":"Current sparse neural information retrieval (IR) methods, and to a lesser extent more traditional models such as BM25, do not take into account the document collection and the complex interplay between different term weights when representing a single document. In this paper, we show how the Rational Speech Acts (RSA), a linguistics framework used to minimize the number of features to be communicated when identifying an object in a set, can be adapted to the IR case -- and in particular to the high number of potential features (here, tokens). RSA dynamically modulates token-document interactio"},"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":"2505.03676","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2025-05-06T16:21:10Z","cross_cats_sorted":["cs.CL"],"title_canon_sha256":"a1160f3a6a20fdd1a53dd8b08b7e496af748a3c8ca3ccfc036523c2c6ea357fa","abstract_canon_sha256":"a04d72abef7cbeca1bf65d8cb7bc4347d9d7fb59dde3a945d869879727d7d085"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:59:30.088840Z","signature_b64":"yRgfkMy95WKsRnnm2e5Y0dxSpIX027jhERrfS83AsqTANAGyU9MQcbn02OISMvmesBOintOnpau2pJ2Rs2rDAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7daf2bf6bb42db94138637d84c515efd9aa829a89227ee8d3a41c5292e0077a5","last_reissued_at":"2026-07-05T10:59:30.088381Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:59:30.088381Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rational Retrieval Acts: Leveraging Pragmatic Reasoning to Improve Sparse Retrieval","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.CL"],"primary_cat":"cs.IR","authors_text":"Arthur Satouf, Benjamin Piwowarski, Gabriel Ben Zenou, Habiboulaye Amadou Boubacar, Pablo Piantanida","submitted_at":"2025-05-06T16:21:10Z","abstract_excerpt":"Current sparse neural information retrieval (IR) methods, and to a lesser extent more traditional models such as BM25, do not take into account the document collection and the complex interplay between different term weights when representing a single document. In this paper, we show how the Rational Speech Acts (RSA), a linguistics framework used to minimize the number of features to be communicated when identifying an object in a set, can be adapted to the IR case -- and in particular to the high number of potential features (here, tokens). RSA dynamically modulates token-document interactio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2505.03676","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/2505.03676/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":"2505.03676","created_at":"2026-07-05T10:59:30.088440+00:00"},{"alias_kind":"arxiv_version","alias_value":"2505.03676v1","created_at":"2026-07-05T10:59:30.088440+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2505.03676","created_at":"2026-07-05T10:59:30.088440+00:00"},{"alias_kind":"pith_short_12","alias_value":"PWXSX5V3ILNZ","created_at":"2026-07-05T10:59:30.088440+00:00"},{"alias_kind":"pith_short_16","alias_value":"PWXSX5V3ILNZIE4G","created_at":"2026-07-05T10:59:30.088440+00:00"},{"alias_kind":"pith_short_8","alias_value":"PWXSX5V3","created_at":"2026-07-05T10:59:30.088440+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/PWXSX5V3ILNZIE4GG7MEYUK67W","json":"https://pith.science/pith/PWXSX5V3ILNZIE4GG7MEYUK67W.json","graph_json":"https://pith.science/api/pith-number/PWXSX5V3ILNZIE4GG7MEYUK67W/graph.json","events_json":"https://pith.science/api/pith-number/PWXSX5V3ILNZIE4GG7MEYUK67W/events.json","paper":"https://pith.science/paper/PWXSX5V3"},"agent_actions":{"view_html":"https://pith.science/pith/PWXSX5V3ILNZIE4GG7MEYUK67W","download_json":"https://pith.science/pith/PWXSX5V3ILNZIE4GG7MEYUK67W.json","view_paper":"https://pith.science/paper/PWXSX5V3","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2505.03676&json=true","fetch_graph":"https://pith.science/api/pith-number/PWXSX5V3ILNZIE4GG7MEYUK67W/graph.json","fetch_events":"https://pith.science/api/pith-number/PWXSX5V3ILNZIE4GG7MEYUK67W/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PWXSX5V3ILNZIE4GG7MEYUK67W/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PWXSX5V3ILNZIE4GG7MEYUK67W/action/storage_attestation","attest_author":"https://pith.science/pith/PWXSX5V3ILNZIE4GG7MEYUK67W/action/author_attestation","sign_citation":"https://pith.science/pith/PWXSX5V3ILNZIE4GG7MEYUK67W/action/citation_signature","submit_replication":"https://pith.science/pith/PWXSX5V3ILNZIE4GG7MEYUK67W/action/replication_record"}},"created_at":"2026-07-05T10:59:30.088440+00:00","updated_at":"2026-07-05T10:59:30.088440+00:00"}