{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:IVAWMO7I7Q2PZ3BCOJPQDQNEYC","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":"156d1a869ea22b70d6b1878052b143fa240600081f54f6193d668438ca10dd44","cross_cats_sorted":["cs.CL","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-06-07T16:10:21Z","title_canon_sha256":"5a5d89bd071f7cafbafcc722317ffeb201e61f30e6a48952f0444f8a040c0ec8"},"schema_version":"1.0","source":{"id":"2306.04563","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2306.04563","created_at":"2026-07-05T06:18:32Z"},{"alias_kind":"arxiv_version","alias_value":"2306.04563v1","created_at":"2026-07-05T06:18:32Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2306.04563","created_at":"2026-07-05T06:18:32Z"},{"alias_kind":"pith_short_12","alias_value":"IVAWMO7I7Q2P","created_at":"2026-07-05T06:18:32Z"},{"alias_kind":"pith_short_16","alias_value":"IVAWMO7I7Q2PZ3BC","created_at":"2026-07-05T06:18:32Z"},{"alias_kind":"pith_short_8","alias_value":"IVAWMO7I","created_at":"2026-07-05T06:18:32Z"}],"graph_snapshots":[{"event_id":"sha256:5abef54671f48d123882e90d958c5521a471d0bf3da1028095911999c3939b7e","target":"graph","created_at":"2026-07-05T06:18:32Z","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/2306.04563/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Humor is a central aspect of human communication that has not been solved for artificial agents so far. Large language models (LLMs) are increasingly able to capture implicit and contextual information. Especially, OpenAI's ChatGPT recently gained immense public attention. The GPT3-based model almost seems to communicate on a human level and can even tell jokes. Humor is an essential component of human communication. But is ChatGPT really funny? We put ChatGPT's sense of humor to the test. In a series of exploratory experiments around jokes, i.e., generation, explanation, and detection, we see","authors_text":"Kristian Kersting, Sophie Jentzsch","cross_cats":["cs.CL","cs.HC","cs.LG"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-06-07T16:10:21Z","title":"ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2306.04563","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":"sha256:2ee26613d2151e1f56c2c68241337935b73421e539f7bb6620a263356a62aacd","target":"record","created_at":"2026-07-05T06:18:32Z","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":"156d1a869ea22b70d6b1878052b143fa240600081f54f6193d668438ca10dd44","cross_cats_sorted":["cs.CL","cs.HC","cs.LG"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-06-07T16:10:21Z","title_canon_sha256":"5a5d89bd071f7cafbafcc722317ffeb201e61f30e6a48952f0444f8a040c0ec8"},"schema_version":"1.0","source":{"id":"2306.04563","kind":"arxiv","version":1}},"canonical_sha256":"4541663be8fc34fcec22725f01c1a4c0b401234369fda2667b19094c2fa98e91","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4541663be8fc34fcec22725f01c1a4c0b401234369fda2667b19094c2fa98e91","first_computed_at":"2026-07-05T06:18:32.343889Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:18:32.343889Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"J05cO5f2ZpAOkvqhZ2KSsCoxUoEKE/xHGmCYWQlDSRN7Gm/Xin8HC6XXam01NyDzIRptGZGGwGDO2Oy8niYBCA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:18:32.344400Z","signed_message":"canonical_sha256_bytes"},"source_id":"2306.04563","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2ee26613d2151e1f56c2c68241337935b73421e539f7bb6620a263356a62aacd","sha256:5abef54671f48d123882e90d958c5521a471d0bf3da1028095911999c3939b7e"],"state_sha256":"0ddf4b44de33cd1f9169b4143eaa7dd55e8e146ff3338a3b5dbc6ecdb4afa972"}