{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:SISJZUSUB4JBDDKA7WXIMPNUVD","short_pith_number":"pith:SISJZUSU","schema_version":"1.0","canonical_sha256":"92249cd2540f12118d40fdae863db4a8f0b1bcee7d8364e837f98eac7a5e82d1","source":{"kind":"arxiv","id":"2405.07111","version":1},"attestation_state":"computed","paper":{"title":"Designing and Evaluating Dialogue LLMs for Co-Creative Improvised Theatre","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alexandra Covaci, Boyd Branch, Kory Mathewson, Piotr Mirowski, Sophia Ppali","submitted_at":"2024-05-11T23:19:42Z","abstract_excerpt":"Social robotics researchers are increasingly interested in multi-party trained conversational agents. With a growing demand for real-world evaluations, our study presents Large Language Models (LLMs) deployed in a month-long live show at the Edinburgh Festival Fringe. This case study investigates human improvisers co-creating with conversational agents in a professional theatre setting. We explore the technical capabilities and constraints of on-the-spot multi-party dialogue, providing comprehensive insights from both audience and performer experiences with AI on stage. Our human-in-the-loop m"},"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":"2405.07111","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-11T23:19:42Z","cross_cats_sorted":[],"title_canon_sha256":"591127d11f7bb40833c53359492cebe1f117ea7d5943a67bb73b59117441fe16","abstract_canon_sha256":"16ebf868f01e56bddf4b12dfe775f212c1801b96fce4766e9313ee2e13aa4c36"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:18:16.645286Z","signature_b64":"OukNGjezR5shPMD8Nrmg26vD64c4etPxP5RjDlA4LA+cxArOEBANhlhIjbeLkbX6PjFsErzhGE0hd39NWVpfBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"92249cd2540f12118d40fdae863db4a8f0b1bcee7d8364e837f98eac7a5e82d1","last_reissued_at":"2026-07-05T08:18:16.644759Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:18:16.644759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Designing and Evaluating Dialogue LLMs for Co-Creative Improvised Theatre","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Alexandra Covaci, Boyd Branch, Kory Mathewson, Piotr Mirowski, Sophia Ppali","submitted_at":"2024-05-11T23:19:42Z","abstract_excerpt":"Social robotics researchers are increasingly interested in multi-party trained conversational agents. With a growing demand for real-world evaluations, our study presents Large Language Models (LLMs) deployed in a month-long live show at the Edinburgh Festival Fringe. This case study investigates human improvisers co-creating with conversational agents in a professional theatre setting. We explore the technical capabilities and constraints of on-the-spot multi-party dialogue, providing comprehensive insights from both audience and performer experiences with AI on stage. Our human-in-the-loop m"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.07111","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/2405.07111/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":"2405.07111","created_at":"2026-07-05T08:18:16.644843+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.07111v1","created_at":"2026-07-05T08:18:16.644843+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.07111","created_at":"2026-07-05T08:18:16.644843+00:00"},{"alias_kind":"pith_short_12","alias_value":"SISJZUSUB4JB","created_at":"2026-07-05T08:18:16.644843+00:00"},{"alias_kind":"pith_short_16","alias_value":"SISJZUSUB4JBDDKA","created_at":"2026-07-05T08:18:16.644843+00:00"},{"alias_kind":"pith_short_8","alias_value":"SISJZUSU","created_at":"2026-07-05T08:18:16.644843+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":0,"sample":[{"citing_arxiv_id":"2606.18010","citing_title":"Co-Creativity at the Table: A Qualitative Analysis of Creative Interactions in the Podcast \"Adventure AI\"","ref_index":5,"is_internal_anchor":false}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/SISJZUSUB4JBDDKA7WXIMPNUVD","json":"https://pith.science/pith/SISJZUSUB4JBDDKA7WXIMPNUVD.json","graph_json":"https://pith.science/api/pith-number/SISJZUSUB4JBDDKA7WXIMPNUVD/graph.json","events_json":"https://pith.science/api/pith-number/SISJZUSUB4JBDDKA7WXIMPNUVD/events.json","paper":"https://pith.science/paper/SISJZUSU"},"agent_actions":{"view_html":"https://pith.science/pith/SISJZUSUB4JBDDKA7WXIMPNUVD","download_json":"https://pith.science/pith/SISJZUSUB4JBDDKA7WXIMPNUVD.json","view_paper":"https://pith.science/paper/SISJZUSU","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.07111&json=true","fetch_graph":"https://pith.science/api/pith-number/SISJZUSUB4JBDDKA7WXIMPNUVD/graph.json","fetch_events":"https://pith.science/api/pith-number/SISJZUSUB4JBDDKA7WXIMPNUVD/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SISJZUSUB4JBDDKA7WXIMPNUVD/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SISJZUSUB4JBDDKA7WXIMPNUVD/action/storage_attestation","attest_author":"https://pith.science/pith/SISJZUSUB4JBDDKA7WXIMPNUVD/action/author_attestation","sign_citation":"https://pith.science/pith/SISJZUSUB4JBDDKA7WXIMPNUVD/action/citation_signature","submit_replication":"https://pith.science/pith/SISJZUSUB4JBDDKA7WXIMPNUVD/action/replication_record"}},"created_at":"2026-07-05T08:18:16.644843+00:00","updated_at":"2026-07-05T08:18:16.644843+00:00"}