{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:SISJZUSUB4JBDDKA7WXIMPNUVD","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"16ebf868f01e56bddf4b12dfe775f212c1801b96fce4766e9313ee2e13aa4c36","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-11T23:19:42Z","title_canon_sha256":"591127d11f7bb40833c53359492cebe1f117ea7d5943a67bb73b59117441fe16"},"schema_version":"1.0","source":{"id":"2405.07111","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2405.07111","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"arxiv_version","alias_value":"2405.07111v1","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.07111","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"pith_short_12","alias_value":"SISJZUSUB4JB","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"pith_short_16","alias_value":"SISJZUSUB4JBDDKA","created_at":"2026-07-05T08:18:16Z"},{"alias_kind":"pith_short_8","alias_value":"SISJZUSU","created_at":"2026-07-05T08:18:16Z"}],"graph_snapshots":[{"event_id":"sha256:3e6ae43d46ced4fcb115c2962c7b49a630d590b1b416e4d1f1df9245a9d473a3","target":"graph","created_at":"2026-07-05T08:18:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2405.07111/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"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","authors_text":"Alexandra Covaci, Boyd Branch, Kory Mathewson, Piotr Mirowski, Sophia Ppali","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-11T23:19:42Z","title":"Designing and Evaluating Dialogue LLMs for Co-Creative Improvised Theatre"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.07111","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:6c04c942a02ab267d24156f3eda92e595265160ca2fe38a1e5d64ee6c9708faf","target":"record","created_at":"2026-07-05T08:18:16Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"16ebf868f01e56bddf4b12dfe775f212c1801b96fce4766e9313ee2e13aa4c36","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-05-11T23:19:42Z","title_canon_sha256":"591127d11f7bb40833c53359492cebe1f117ea7d5943a67bb73b59117441fe16"},"schema_version":"1.0","source":{"id":"2405.07111","kind":"arxiv","version":1}},"canonical_sha256":"92249cd2540f12118d40fdae863db4a8f0b1bcee7d8364e837f98eac7a5e82d1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"92249cd2540f12118d40fdae863db4a8f0b1bcee7d8364e837f98eac7a5e82d1","first_computed_at":"2026-07-05T08:18:16.644759Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:18:16.644759Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"OukNGjezR5shPMD8Nrmg26vD64c4etPxP5RjDlA4LA+cxArOEBANhlhIjbeLkbX6PjFsErzhGE0hd39NWVpfBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:18:16.645286Z","signed_message":"canonical_sha256_bytes"},"source_id":"2405.07111","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6c04c942a02ab267d24156f3eda92e595265160ca2fe38a1e5d64ee6c9708faf","sha256:3e6ae43d46ced4fcb115c2962c7b49a630d590b1b416e4d1f1df9245a9d473a3"],"state_sha256":"2a470fffd194492b56b97802be2fe11c3b178de54031885e91c39eb68231e21b"}