{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:PZNA4GHCO77X2XT63Y6W5XEYVV","short_pith_number":"pith:PZNA4GHC","schema_version":"1.0","canonical_sha256":"7e5a0e18e277ff7d5e7ede3d6edc98ad705a535e14448479af080b09a90ebde6","source":{"kind":"arxiv","id":"2601.14224","version":2},"attestation_state":"computed","paper":{"title":"Rerank Before You Reason: Analyzing Reranking Tradeoffs through Effective Token Cost in Deep Search Agents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Jimmy Lin, Sahel Sharifymoghaddam","submitted_at":"2026-01-20T18:38:35Z","abstract_excerpt":"Deep research agents rely on iterative retrieval and reasoning to answer complex queries, but scaling test-time computation raises significant efficiency concerns. We study how to allocate reasoning budget in deep search pipelines, focusing on the role of listwise reranking. Using the BrowseComp-Plus benchmark, we analyze tradeoffs between model scale, reasoning effort, reranking depth, and total token cost via a novel effective token cost (ETC) metric. Our results show that reranking consistently improves retrieval and end-to-end accuracy, and that moderate reranking often yields larger gains"},"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":"2601.14224","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-01-20T18:38:35Z","cross_cats_sorted":[],"title_canon_sha256":"fe6110b38269fa0b7e84804ca3fb7b3b2845e29c81421151a944b338400a0215","abstract_canon_sha256":"7759bb0899cd029bf04492081719def58f3cd61aef4e5a3e729ede528a559e7f"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-02T02:04:13.203999Z","signature_b64":"YxJFaZKqL/Axsdqa1ohlntFeGvE7q0iv+pi1owNZllCiIV0D5XUfOv7Udyl5V423JpclOs70Aas5OfmV+ZiZDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7e5a0e18e277ff7d5e7ede3d6edc98ad705a535e14448479af080b09a90ebde6","last_reissued_at":"2026-06-02T02:04:13.203546Z","signature_status":"signed_v1","first_computed_at":"2026-06-02T02:04:13.203546Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Rerank Before You Reason: Analyzing Reranking Tradeoffs through Effective Token Cost in Deep Search Agents","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Jimmy Lin, Sahel Sharifymoghaddam","submitted_at":"2026-01-20T18:38:35Z","abstract_excerpt":"Deep research agents rely on iterative retrieval and reasoning to answer complex queries, but scaling test-time computation raises significant efficiency concerns. We study how to allocate reasoning budget in deep search pipelines, focusing on the role of listwise reranking. Using the BrowseComp-Plus benchmark, we analyze tradeoffs between model scale, reasoning effort, reranking depth, and total token cost via a novel effective token cost (ETC) metric. Our results show that reranking consistently improves retrieval and end-to-end accuracy, and that moderate reranking often yields larger gains"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2601.14224","kind":"arxiv","version":2},"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/2601.14224/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":"2601.14224","created_at":"2026-06-02T02:04:13.203618+00:00"},{"alias_kind":"arxiv_version","alias_value":"2601.14224v2","created_at":"2026-06-02T02:04:13.203618+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2601.14224","created_at":"2026-06-02T02:04:13.203618+00:00"},{"alias_kind":"pith_short_12","alias_value":"PZNA4GHCO77X","created_at":"2026-06-02T02:04:13.203618+00:00"},{"alias_kind":"pith_short_16","alias_value":"PZNA4GHCO77X2XT6","created_at":"2026-06-02T02:04:13.203618+00:00"},{"alias_kind":"pith_short_8","alias_value":"PZNA4GHC","created_at":"2026-06-02T02:04:13.203618+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/PZNA4GHCO77X2XT63Y6W5XEYVV","json":"https://pith.science/pith/PZNA4GHCO77X2XT63Y6W5XEYVV.json","graph_json":"https://pith.science/api/pith-number/PZNA4GHCO77X2XT63Y6W5XEYVV/graph.json","events_json":"https://pith.science/api/pith-number/PZNA4GHCO77X2XT63Y6W5XEYVV/events.json","paper":"https://pith.science/paper/PZNA4GHC"},"agent_actions":{"view_html":"https://pith.science/pith/PZNA4GHCO77X2XT63Y6W5XEYVV","download_json":"https://pith.science/pith/PZNA4GHCO77X2XT63Y6W5XEYVV.json","view_paper":"https://pith.science/paper/PZNA4GHC","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2601.14224&json=true","fetch_graph":"https://pith.science/api/pith-number/PZNA4GHCO77X2XT63Y6W5XEYVV/graph.json","fetch_events":"https://pith.science/api/pith-number/PZNA4GHCO77X2XT63Y6W5XEYVV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PZNA4GHCO77X2XT63Y6W5XEYVV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PZNA4GHCO77X2XT63Y6W5XEYVV/action/storage_attestation","attest_author":"https://pith.science/pith/PZNA4GHCO77X2XT63Y6W5XEYVV/action/author_attestation","sign_citation":"https://pith.science/pith/PZNA4GHCO77X2XT63Y6W5XEYVV/action/citation_signature","submit_replication":"https://pith.science/pith/PZNA4GHCO77X2XT63Y6W5XEYVV/action/replication_record"}},"created_at":"2026-06-02T02:04:13.203618+00:00","updated_at":"2026-06-02T02:04:13.203618+00:00"}