{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:QCW663WSX4IYLZSU2FLCUYYHLH","short_pith_number":"pith:QCW663WS","schema_version":"1.0","canonical_sha256":"80adef6ed2bf1185e654d1562a630759d18c6905177882faac77c8dff76d9d57","source":{"kind":"arxiv","id":"2607.25640","version":1},"attestation_state":"computed","paper":{"title":"LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Bruno Sguerra, Elena V. Epure, Juhan Nam, Sergio Oramas, Seungheon Doh","submitted_at":"2026-07-28T12:26:55Z","abstract_excerpt":"Conversational Recommendation Systems (CRS) aim to achieve two primary objectives: recommending relevant items and generating natural language responses. While recommendation accuracy is effectively measured by established ranking metrics, the evaluation of response generation poses a more fundamental challenge. Although human evaluation remains the gold standard, its cost and scalability constraints have motivated the adoption of LLM-as-a-judge as a promising proxy, whose alignment with human judgment in the context of CRS remains an open question. In this paper, we present the first user stu"},"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":"2607.25640","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.IR","submitted_at":"2026-07-28T12:26:55Z","cross_cats_sorted":[],"title_canon_sha256":"a33afc2a3999771ba52421eb34ce14604f195cf8157908372ffe6e071db66e61","abstract_canon_sha256":"43514f234672bfc5ebb7a1ec452bc17a81413afe289a9492352d1790706ab1d2"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-29T01:25:54.314177Z","signature_b64":"K7ZCQhepLAA+buLLO8ZI+AHBRUiIsrEtt8KEjxLtqKullroCnQhau/QEvZrCZtW8dgTDXO9cfJukzb8Srd17Ag==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80adef6ed2bf1185e654d1562a630759d18c6905177882faac77c8dff76d9d57","last_reissued_at":"2026-07-29T01:25:54.313286Z","signature_status":"signed_v1","first_computed_at":"2026-07-29T01:25:54.313286Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"LLM-as-a-Judge for Evaluating System Responses in Conversational Music Recommendation","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.IR","authors_text":"Bruno Sguerra, Elena V. Epure, Juhan Nam, Sergio Oramas, Seungheon Doh","submitted_at":"2026-07-28T12:26:55Z","abstract_excerpt":"Conversational Recommendation Systems (CRS) aim to achieve two primary objectives: recommending relevant items and generating natural language responses. While recommendation accuracy is effectively measured by established ranking metrics, the evaluation of response generation poses a more fundamental challenge. Although human evaluation remains the gold standard, its cost and scalability constraints have motivated the adoption of LLM-as-a-judge as a promising proxy, whose alignment with human judgment in the context of CRS remains an open question. In this paper, we present the first user stu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.25640","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/2607.25640/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":"2607.25640","created_at":"2026-07-29T01:25:54.313755+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.25640v1","created_at":"2026-07-29T01:25:54.313755+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.25640","created_at":"2026-07-29T01:25:54.313755+00:00"},{"alias_kind":"pith_short_12","alias_value":"QCW663WSX4IY","created_at":"2026-07-29T01:25:54.313755+00:00"},{"alias_kind":"pith_short_16","alias_value":"QCW663WSX4IYLZSU","created_at":"2026-07-29T01:25:54.313755+00:00"},{"alias_kind":"pith_short_8","alias_value":"QCW663WS","created_at":"2026-07-29T01:25:54.313755+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/QCW663WSX4IYLZSU2FLCUYYHLH","json":"https://pith.science/pith/QCW663WSX4IYLZSU2FLCUYYHLH.json","graph_json":"https://pith.science/api/pith-number/QCW663WSX4IYLZSU2FLCUYYHLH/graph.json","events_json":"https://pith.science/api/pith-number/QCW663WSX4IYLZSU2FLCUYYHLH/events.json","paper":"https://pith.science/paper/QCW663WS"},"agent_actions":{"view_html":"https://pith.science/pith/QCW663WSX4IYLZSU2FLCUYYHLH","download_json":"https://pith.science/pith/QCW663WSX4IYLZSU2FLCUYYHLH.json","view_paper":"https://pith.science/paper/QCW663WS","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.25640&json=true","fetch_graph":"https://pith.science/api/pith-number/QCW663WSX4IYLZSU2FLCUYYHLH/graph.json","fetch_events":"https://pith.science/api/pith-number/QCW663WSX4IYLZSU2FLCUYYHLH/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QCW663WSX4IYLZSU2FLCUYYHLH/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QCW663WSX4IYLZSU2FLCUYYHLH/action/storage_attestation","attest_author":"https://pith.science/pith/QCW663WSX4IYLZSU2FLCUYYHLH/action/author_attestation","sign_citation":"https://pith.science/pith/QCW663WSX4IYLZSU2FLCUYYHLH/action/citation_signature","submit_replication":"https://pith.science/pith/QCW663WSX4IYLZSU2FLCUYYHLH/action/replication_record"}},"created_at":"2026-07-29T01:25:54.313755+00:00","updated_at":"2026-07-29T01:25:54.313755+00:00"}