{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JNILS2ZJO2HVKXDQTNFAHHWRRS","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":"e22cfb0acc814539c232ccf7137b9d234e3b56277b334bd8739264ddf7612cd4","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-01T06:49:31Z","title_canon_sha256":"04f8f541009e3ccc3ea7de14cf8076465fdc7f6e060b4bf35a8aca39af59fb88"},"schema_version":"1.0","source":{"id":"2412.05315","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2412.05315","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"arxiv_version","alias_value":"2412.05315v1","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2412.05315","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"pith_short_12","alias_value":"JNILS2ZJO2HV","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"pith_short_16","alias_value":"JNILS2ZJO2HVKXDQ","created_at":"2026-07-05T09:46:01Z"},{"alias_kind":"pith_short_8","alias_value":"JNILS2ZJ","created_at":"2026-07-05T09:46:01Z"}],"graph_snapshots":[{"event_id":"sha256:1d4abccc999d6267dd2cb0300b4d6398473b32bc8ce5227a232cc3618d66f62e","target":"graph","created_at":"2026-07-05T09:46:01Z","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/2412.05315/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"While Large Language Models (LLMs) have demonstrated impressive natural language understanding capabilities across various text-based tasks, understanding humor has remained a persistent challenge. Humor is frequently multimodal, relying on phonetic ambiguity, rhythm and timing to convey meaning. In this study, we explore a simple multimodal prompting approach to humor understanding and explanation. We present an LLM with both the text and the spoken form of a joke, generated using an off-the-shelf text-to-speech (TTS) system. Using multimodal cues improves the explanations of humor compared t","authors_text":"Ashwin Baluja","cross_cats":["cs.CY"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-01T06:49:31Z","title":"Text Is Not All You Need: Multimodal Prompting Helps LLMs Understand Humor"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2412.05315","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:fc847bdd0059a2eae1f4c34e503c8ca773beabc0e1d85e75864581719fa80dcc","target":"record","created_at":"2026-07-05T09:46:01Z","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":"e22cfb0acc814539c232ccf7137b9d234e3b56277b334bd8739264ddf7612cd4","cross_cats_sorted":["cs.CY"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2024-12-01T06:49:31Z","title_canon_sha256":"04f8f541009e3ccc3ea7de14cf8076465fdc7f6e060b4bf35a8aca39af59fb88"},"schema_version":"1.0","source":{"id":"2412.05315","kind":"arxiv","version":1}},"canonical_sha256":"4b50b96b29768f555c709b4a039ed18cba518a9355d8467a622ee7f272e68fd0","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b50b96b29768f555c709b4a039ed18cba518a9355d8467a622ee7f272e68fd0","first_computed_at":"2026-07-05T09:46:01.321707Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:46:01.321707Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"MAnzCeZ7E3uAMyq7hYzvC9xMcT2RKUr1uyD8Vq2gf/tUmDCmfTz1vUFrZ7QZZSfk7xgpKw8fZVrdnc5+8LHGBA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:46:01.322088Z","signed_message":"canonical_sha256_bytes"},"source_id":"2412.05315","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:fc847bdd0059a2eae1f4c34e503c8ca773beabc0e1d85e75864581719fa80dcc","sha256:1d4abccc999d6267dd2cb0300b4d6398473b32bc8ce5227a232cc3618d66f62e"],"state_sha256":"a1070057162a996336ee90643c299e28d6ce12ea88522191fc59050ddf79a521"}