{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:DP25Y4L7KYOV4IDXCDYUTW4ROY","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":"facdcc2fc6f10b64545f6b7d9e3644dac96a5b48feb2d431bed8a4bc66078fbe","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-06-18T22:23:18Z","title_canon_sha256":"a5016a1684bfe37149e260b15bd35886b77f7f9eeb979f19ca710cb92924067d"},"schema_version":"1.0","source":{"id":"2306.10645","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.10645","created_at":"2026-07-05T06:40:15Z"},{"alias_kind":"arxiv_version","alias_value":"2306.10645v2","created_at":"2026-07-05T06:40:15Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.10645","created_at":"2026-07-05T06:40:15Z"},{"alias_kind":"pith_short_12","alias_value":"DP25Y4L7KYOV","created_at":"2026-07-05T06:40:15Z"},{"alias_kind":"pith_short_16","alias_value":"DP25Y4L7KYOV4IDX","created_at":"2026-07-05T06:40:15Z"},{"alias_kind":"pith_short_8","alias_value":"DP25Y4L7","created_at":"2026-07-05T06:40:15Z"}],"graph_snapshots":[{"event_id":"sha256:76316b8a903b5be071c628d1e88bc9e792b53f5b93afcfad9f0f7c12a75b0777","target":"graph","created_at":"2026-07-05T06:40:15Z","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/2306.10645/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Educational chatbots come with a promise of interactive and personalized learning experiences, yet their development has been limited by the restricted free interaction capabilities of available platforms and the difficulty of encoding knowledge in a suitable format. Recent advances in language learning models with zero-shot learning capabilities, such as ChatGPT, suggest a new possibility for developing educational chatbots using a prompt-based approach. We present a case study with a simple system that enables mixed-turn chatbot interactions and discuss the insights and preliminary guideline","authors_text":"Alessandro Gabbiadini, Alessia Telari, Alessia Testa, Cansu Koyuturk, Davinia Hernandez-Leo, Dimitri Ognibene, Emily Theophilou, Gregor Donabauer, Martin Ruskov, Mona Yavari, Raffaele Boiano, Sathya Bursic","cross_cats":["cs.AI","cs.CY"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-06-18T22:23:18Z","title":"Developing Effective Educational Chatbots with ChatGPT prompts: Insights from Preliminary Tests in a Case Study on Social Media Literacy (with appendix)"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.10645","kind":"arxiv","version":2},"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:caf4a61dc3d8214741d16ed9ec9343a8e72a81b894b2e99f3940fff1c3ff8b85","target":"record","created_at":"2026-07-05T06:40:15Z","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":"facdcc2fc6f10b64545f6b7d9e3644dac96a5b48feb2d431bed8a4bc66078fbe","cross_cats_sorted":["cs.AI","cs.CY"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.HC","submitted_at":"2023-06-18T22:23:18Z","title_canon_sha256":"a5016a1684bfe37149e260b15bd35886b77f7f9eeb979f19ca710cb92924067d"},"schema_version":"1.0","source":{"id":"2306.10645","kind":"arxiv","version":2}},"canonical_sha256":"1bf5dc717f561d5e207710f149db9176331d15705a66eba851cc0fc915c849d9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"1bf5dc717f561d5e207710f149db9176331d15705a66eba851cc0fc915c849d9","first_computed_at":"2026-07-05T06:40:15.282846Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:40:15.282846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ibEOeWume3Z30tpuT0j04SqoSXqGpatQddQ9Xxrvvqwb6ob3O+/q/A+w7Oozgh4LWMNpMt+9KXlqd5ZpRI6aCQ==","signature_status":"signed_v1","signed_at":"2026-07-05T06:40:15.283300Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.10645","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:caf4a61dc3d8214741d16ed9ec9343a8e72a81b894b2e99f3940fff1c3ff8b85","sha256:76316b8a903b5be071c628d1e88bc9e792b53f5b93afcfad9f0f7c12a75b0777"],"state_sha256":"6e1467545d4f83c8ac164d661152c322b3013ad5ae84ffa10e1aaaf96bf325b0"}