{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:T5UZ5YBWQRPKT6UHSWAWDBY3WD","short_pith_number":"pith:T5UZ5YBW","schema_version":"1.0","canonical_sha256":"9f699ee036845ea9fa87958161871bb0ce92bde1c9dccda34466a7540adae115","source":{"kind":"arxiv","id":"2608.06634","version":1},"attestation_state":"computed","paper":{"title":"From Prompting to Describing: A Cross-Cultural Study of Language for AI-Generated Music","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Claire Arthur, Sangheon Park","submitted_at":"2026-08-06T23:02:06Z","abstract_excerpt":"Text-to-music (TTM) generation systems allow users to create music through natural language prompts, yet it is unclear whether the descriptive language used to prompt aligns with descriptive language used to summarize or describe heard music. We pair 200 real-world Udio prompts with their generated audio and free-form descriptions collected from English- (n = 70) and Korean-speaking (n = 78) listeners, and contribute a human-derived taxonomy of musical prompting vocabulary grounded in real user data. Using this framework, alongside word- and vector-level analyses, we find a consistent structur"},"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":"2608.06634","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.SD","submitted_at":"2026-08-06T23:02:06Z","cross_cats_sorted":[],"title_canon_sha256":"300283747daf62b13bcd5a8c46b01eeec57c5325c45e7d238d5576053c5b9fdf","abstract_canon_sha256":"86b7aeb39075f460597f0d3c9a300ff273b7bb14a1b9034ad91bc75a0863d623"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-10T01:11:32.864293Z","signature_b64":"a6gOuZ4Rvv9neqdBvSevQxvuIjmRktmBYOwi6ept6AdbY9Ph9QgOtQqmEu0kKN0dWlG9CVxO4FvlatksgZuEBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"9f699ee036845ea9fa87958161871bb0ce92bde1c9dccda34466a7540adae115","last_reissued_at":"2026-08-10T01:11:32.861279Z","signature_status":"signed_v1","first_computed_at":"2026-08-10T01:11:32.861279Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"From Prompting to Describing: A Cross-Cultural Study of Language for AI-Generated Music","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.SD","authors_text":"Claire Arthur, Sangheon Park","submitted_at":"2026-08-06T23:02:06Z","abstract_excerpt":"Text-to-music (TTM) generation systems allow users to create music through natural language prompts, yet it is unclear whether the descriptive language used to prompt aligns with descriptive language used to summarize or describe heard music. We pair 200 real-world Udio prompts with their generated audio and free-form descriptions collected from English- (n = 70) and Korean-speaking (n = 78) listeners, and contribute a human-derived taxonomy of musical prompting vocabulary grounded in real user data. Using this framework, alongside word- and vector-level analyses, we find a consistent structur"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.06634","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/2608.06634/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":"2608.06634","created_at":"2026-08-10T01:11:32.862723+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.06634v1","created_at":"2026-08-10T01:11:32.862723+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.06634","created_at":"2026-08-10T01:11:32.862723+00:00"},{"alias_kind":"pith_short_12","alias_value":"T5UZ5YBWQRPK","created_at":"2026-08-10T01:11:32.862723+00:00"},{"alias_kind":"pith_short_16","alias_value":"T5UZ5YBWQRPKT6UH","created_at":"2026-08-10T01:11:32.862723+00:00"},{"alias_kind":"pith_short_8","alias_value":"T5UZ5YBW","created_at":"2026-08-10T01:11:32.862723+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2608.06634","citing_title":"From Prompting to Describing: A Cross-Cultural Study of Language for AI-Generated Music","ref_index":2,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/T5UZ5YBWQRPKT6UHSWAWDBY3WD","json":"https://pith.science/pith/T5UZ5YBWQRPKT6UHSWAWDBY3WD.json","graph_json":"https://pith.science/api/pith-number/T5UZ5YBWQRPKT6UHSWAWDBY3WD/graph.json","events_json":"https://pith.science/api/pith-number/T5UZ5YBWQRPKT6UHSWAWDBY3WD/events.json","paper":"https://pith.science/paper/T5UZ5YBW"},"agent_actions":{"view_html":"https://pith.science/pith/T5UZ5YBWQRPKT6UHSWAWDBY3WD","download_json":"https://pith.science/pith/T5UZ5YBWQRPKT6UHSWAWDBY3WD.json","view_paper":"https://pith.science/paper/T5UZ5YBW","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.06634&json=true","fetch_graph":"https://pith.science/api/pith-number/T5UZ5YBWQRPKT6UHSWAWDBY3WD/graph.json","fetch_events":"https://pith.science/api/pith-number/T5UZ5YBWQRPKT6UHSWAWDBY3WD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/T5UZ5YBWQRPKT6UHSWAWDBY3WD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/T5UZ5YBWQRPKT6UHSWAWDBY3WD/action/storage_attestation","attest_author":"https://pith.science/pith/T5UZ5YBWQRPKT6UHSWAWDBY3WD/action/author_attestation","sign_citation":"https://pith.science/pith/T5UZ5YBWQRPKT6UHSWAWDBY3WD/action/citation_signature","submit_replication":"https://pith.science/pith/T5UZ5YBWQRPKT6UHSWAWDBY3WD/action/replication_record"}},"created_at":"2026-08-10T01:11:32.862723+00:00","updated_at":"2026-08-10T01:11:32.862723+00:00"}