{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:GRKPXNQSA7XUR4CJT3DXKV3KTO","short_pith_number":"pith:GRKPXNQS","schema_version":"1.0","canonical_sha256":"3454fbb61207ef48f0499ec775576a9bb4e1b918f2ea98750afb6958601e4d6f","source":{"kind":"arxiv","id":"2607.23561","version":1},"attestation_state":"computed","paper":{"title":"Towards a Relevance Posterior in Neural Information Access","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Andrew Parry, Debasis Ganguly, Emmanouil Georgios Lionis, Sean MacAvaney","submitted_at":"2026-07-26T09:24:20Z","abstract_excerpt":"Modern information retrieval systems typically operationalise relevance as a query-conditional score computed at inference time. This design choice has become dominant such that alternative decompositions of relevance are rarely discussed, despite the long history of document and query priors in probabilistic retrieval and large-scale search. As neural ranking models grow more computationally expensive and retrieval pipelines expand to include multi-stage ranking, recommendation, and retrieval-augmented generation, this monolithic view of query-time scoring becomes increasingly limiting. We ar"},"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":"2607.23561","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-26T09:24:20Z","cross_cats_sorted":[],"title_canon_sha256":"9be178fbfa661ab5646cfd813862bee49f5ebd553ada2d29e8d53f432ce25bc6","abstract_canon_sha256":"dfc6c96109ed680a3092e3ae81efd2cbc860852b7b5fb90398420b4999811c10"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-28T01:22:59.457052Z","signature_b64":"AszyevA4hBdnmbnY4UyQmvaFI4BEELTrc6RKu2yWPQhD6/EKpWvyBTFyiGTzGQ8Klh7Lc2z0gK4qhijEEna4Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"3454fbb61207ef48f0499ec775576a9bb4e1b918f2ea98750afb6958601e4d6f","last_reissued_at":"2026-07-28T01:22:59.456256Z","signature_status":"signed_v1","first_computed_at":"2026-07-28T01:22:59.456256Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Towards a Relevance Posterior in Neural Information Access","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Andrew Parry, Debasis Ganguly, Emmanouil Georgios Lionis, Sean MacAvaney","submitted_at":"2026-07-26T09:24:20Z","abstract_excerpt":"Modern information retrieval systems typically operationalise relevance as a query-conditional score computed at inference time. This design choice has become dominant such that alternative decompositions of relevance are rarely discussed, despite the long history of document and query priors in probabilistic retrieval and large-scale search. As neural ranking models grow more computationally expensive and retrieval pipelines expand to include multi-stage ranking, recommendation, and retrieval-augmented generation, this monolithic view of query-time scoring becomes increasingly limiting. We ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.23561","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/2607.23561/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":"2607.23561","created_at":"2026-07-28T01:22:59.456668+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.23561v1","created_at":"2026-07-28T01:22:59.456668+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.23561","created_at":"2026-07-28T01:22:59.456668+00:00"},{"alias_kind":"pith_short_12","alias_value":"GRKPXNQSA7XU","created_at":"2026-07-28T01:22:59.456668+00:00"},{"alias_kind":"pith_short_16","alias_value":"GRKPXNQSA7XUR4CJ","created_at":"2026-07-28T01:22:59.456668+00:00"},{"alias_kind":"pith_short_8","alias_value":"GRKPXNQS","created_at":"2026-07-28T01:22:59.456668+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/GRKPXNQSA7XUR4CJT3DXKV3KTO","json":"https://pith.science/pith/GRKPXNQSA7XUR4CJT3DXKV3KTO.json","graph_json":"https://pith.science/api/pith-number/GRKPXNQSA7XUR4CJT3DXKV3KTO/graph.json","events_json":"https://pith.science/api/pith-number/GRKPXNQSA7XUR4CJT3DXKV3KTO/events.json","paper":"https://pith.science/paper/GRKPXNQS"},"agent_actions":{"view_html":"https://pith.science/pith/GRKPXNQSA7XUR4CJT3DXKV3KTO","download_json":"https://pith.science/pith/GRKPXNQSA7XUR4CJT3DXKV3KTO.json","view_paper":"https://pith.science/paper/GRKPXNQS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.23561&json=true","fetch_graph":"https://pith.science/api/pith-number/GRKPXNQSA7XUR4CJT3DXKV3KTO/graph.json","fetch_events":"https://pith.science/api/pith-number/GRKPXNQSA7XUR4CJT3DXKV3KTO/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/GRKPXNQSA7XUR4CJT3DXKV3KTO/action/timestamp_anchor","attest_storage":"https://pith.science/pith/GRKPXNQSA7XUR4CJT3DXKV3KTO/action/storage_attestation","attest_author":"https://pith.science/pith/GRKPXNQSA7XUR4CJT3DXKV3KTO/action/author_attestation","sign_citation":"https://pith.science/pith/GRKPXNQSA7XUR4CJT3DXKV3KTO/action/citation_signature","submit_replication":"https://pith.science/pith/GRKPXNQSA7XUR4CJT3DXKV3KTO/action/replication_record"}},"created_at":"2026-07-28T01:22:59.456668+00:00","updated_at":"2026-07-28T01:22:59.456668+00:00"}