{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:RFXZXTSHGOEMBVXUYVGKVYLXPE","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":"e41a5d6c71863126fdd81f7a8370af89d7d545e98f56e8727d900d903a7ec42c","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T11:53:46Z","title_canon_sha256":"03fffa8be505995f80f840a054727ed996481eec6ceaa44a66efcacf823dad5e"},"schema_version":"1.0","source":{"id":"2607.19011","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.19011","created_at":"2026-07-22T01:24:04Z"},{"alias_kind":"arxiv_version","alias_value":"2607.19011v1","created_at":"2026-07-22T01:24:04Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.19011","created_at":"2026-07-22T01:24:04Z"},{"alias_kind":"pith_short_12","alias_value":"RFXZXTSHGOEM","created_at":"2026-07-22T01:24:04Z"},{"alias_kind":"pith_short_16","alias_value":"RFXZXTSHGOEMBVXU","created_at":"2026-07-22T01:24:04Z"},{"alias_kind":"pith_short_8","alias_value":"RFXZXTSH","created_at":"2026-07-22T01:24:04Z"}],"graph_snapshots":[{"event_id":"sha256:616915fe9444ad8bc9124b83004a6fbd9fe54e0e2ad5a6673092b3abb7eddaf3","target":"graph","created_at":"2026-07-22T01:24:04Z","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/2607.19011/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Multimodal humor in memes, cartoons, and comics remains difficult for AI systems because intended meaning depends on non-literal mechanisms, shared cultural knowledge, and communicative intent rather than literal scene description. This survey focuses on visual humor understanding in single-image and multi-panel artifacts, while treating humor generation as an emerging downstream frontier. We position the literature against prior humor, sarcasm, and general MLLM surveys and organize it using a capability-centric hierarchy spanning recognition, interpretation and reasoning, and generation. Unde","authors_text":"Disheng Liu, Jing Li, Tuo Liang, Yu Yin, Zhe Hu","cross_cats":["cs.AI","cs.MM"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T11:53:46Z","title":"Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.19011","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":"sha256:701c87b90e20b34d0b4dda97e3ac45abd9ca36d8cdc1d0bfc32a923e825005bf","target":"record","created_at":"2026-07-22T01:24:04Z","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":"e41a5d6c71863126fdd81f7a8370af89d7d545e98f56e8727d900d903a7ec42c","cross_cats_sorted":["cs.AI","cs.MM"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-07-21T11:53:46Z","title_canon_sha256":"03fffa8be505995f80f840a054727ed996481eec6ceaa44a66efcacf823dad5e"},"schema_version":"1.0","source":{"id":"2607.19011","kind":"arxiv","version":1}},"canonical_sha256":"896f9bce473388c0d6f4c54caae177793f683a602a102174e69368ed9d192382","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"896f9bce473388c0d6f4c54caae177793f683a602a102174e69368ed9d192382","first_computed_at":"2026-07-22T01:24:04.323131Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-22T01:24:04.323131Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7WnSkLnBs4OqBmBfcAJA6WC39Dy1IFV6weV6sNA7NubknD4fowTS6MOt88qDHvefi5TaYeN5ENu344k3/8hcAw==","signature_status":"signed_v1","signed_at":"2026-07-22T01:24:04.323973Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.19011","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:701c87b90e20b34d0b4dda97e3ac45abd9ca36d8cdc1d0bfc32a923e825005bf","sha256:616915fe9444ad8bc9124b83004a6fbd9fe54e0e2ad5a6673092b3abb7eddaf3"],"state_sha256":"ec3f3ba1b1ddffcdbeef460f17871ee520c0defb8293fec143e25d5b6b2c8b77"}