{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:6GFLT6DXPMRSB3WQE45MJT7LYL","short_pith_number":"pith:6GFLT6DX","canonical_record":{"source":{"id":"2606.20595","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-18T15:20:30Z","cross_cats_sorted":[],"title_canon_sha256":"e84d391aa0dfe6dd1ac172cf07e106b93233e3392496663ee6dfcb576494df8a","abstract_canon_sha256":"bacff8089b371357bfc3e41a0352365a3498f1261d678526ca3ad34dc0c391d8"},"schema_version":"1.0"},"canonical_sha256":"f18ab9f8777b2320eed0273ac4cfebc2e3b761ae4f7087c48a37d1c2e1577599","source":{"kind":"arxiv","id":"2606.20595","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20595","created_at":"2026-06-23T00:11:50Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20595v1","created_at":"2026-06-23T00:11:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20595","created_at":"2026-06-23T00:11:50Z"},{"alias_kind":"pith_short_12","alias_value":"6GFLT6DXPMRS","created_at":"2026-06-23T00:11:50Z"},{"alias_kind":"pith_short_16","alias_value":"6GFLT6DXPMRSB3WQ","created_at":"2026-06-23T00:11:50Z"},{"alias_kind":"pith_short_8","alias_value":"6GFLT6DX","created_at":"2026-06-23T00:11:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:6GFLT6DXPMRSB3WQE45MJT7LYL","target":"record","payload":{"canonical_record":{"source":{"id":"2606.20595","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-18T15:20:30Z","cross_cats_sorted":[],"title_canon_sha256":"e84d391aa0dfe6dd1ac172cf07e106b93233e3392496663ee6dfcb576494df8a","abstract_canon_sha256":"bacff8089b371357bfc3e41a0352365a3498f1261d678526ca3ad34dc0c391d8"},"schema_version":"1.0"},"canonical_sha256":"f18ab9f8777b2320eed0273ac4cfebc2e3b761ae4f7087c48a37d1c2e1577599","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-23T00:11:50.938539Z","signature_b64":"LcftwNOvermt6Gnm021jSb1OqFSXG0XC0ThbIC0ZCwKtpp003mXnh2a4ybN7lSYfXIokywUb5D+0cPUgucG4CQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f18ab9f8777b2320eed0273ac4cfebc2e3b761ae4f7087c48a37d1c2e1577599","last_reissued_at":"2026-06-23T00:11:50.938113Z","signature_status":"signed_v1","first_computed_at":"2026-06-23T00:11:50.938113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.20595","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-23T00:11:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"+YDqbtYn0MqkHkhdYCO9VvDF+lnb24GVc7bKNVaU17ZKjk1+OY3BL7ZHffmNFiB7x0heA/FR2h4sF7hoe05FDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T10:18:23.712169Z"},"content_sha256":"a3e20fe7bb54a7cbd07c9cb42c34f7e1bd7d9b8e4156c093d361a8cd7301c48f","schema_version":"1.0","event_id":"sha256:a3e20fe7bb54a7cbd07c9cb42c34f7e1bd7d9b8e4156c093d361a8cd7301c48f"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:6GFLT6DXPMRSB3WQE45MJT7LYL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Hybrid Intelligence in Cartoon Captioning: Evaluating AI as a Creative Writing Partner","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.HC","authors_text":"Derya Akleman, Ergun Akleman, Metin Sezgin, Sanem Sariel, U\\u{g}ur \\\"Onal","submitted_at":"2026-05-18T15:20:30Z","abstract_excerpt":"Crafting cartoon captions requires an understanding of humor, context, and the relationship between image and text. Traditionally, illustrators and writers collaborate to strengthen visual storytelling and comedic timing. With advances in natural language generation, Large Language Models (LLMs) can assist in this process. This study examines AI's role in caption generation by testing GPT-4o via the ChatGPT interface on IEEE Computer magazine cartoons. By removing captions and prompting AI to generate replacements, we assess its ability to produce jokes that match the depicted situation and na"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20595","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2606.20595/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-23T00:11:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"z4VVLfV8QrYs4UX+/Zx5Otw3nYqlOJU8ATqoSWP6tDhhPRFi3igBWquqswlOA6HoqyQSLJ3i9DadSr4n1I+lBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T10:18:23.712560Z"},"content_sha256":"6e0553f3329632714275d36b6adb070bca8f2e1b60f00b14860a9dd2d2b924c7","schema_version":"1.0","event_id":"sha256:6e0553f3329632714275d36b6adb070bca8f2e1b60f00b14860a9dd2d2b924c7"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/6GFLT6DXPMRSB3WQE45MJT7LYL/bundle.json","state_url":"https://pith.science/pith/6GFLT6DXPMRSB3WQE45MJT7LYL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/6GFLT6DXPMRSB3WQE45MJT7LYL/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-06-25T10:18:23Z","links":{"resolver":"https://pith.science/pith/6GFLT6DXPMRSB3WQE45MJT7LYL","bundle":"https://pith.science/pith/6GFLT6DXPMRSB3WQE45MJT7LYL/bundle.json","state":"https://pith.science/pith/6GFLT6DXPMRSB3WQE45MJT7LYL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/6GFLT6DXPMRSB3WQE45MJT7LYL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:6GFLT6DXPMRSB3WQE45MJT7LYL","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":"bacff8089b371357bfc3e41a0352365a3498f1261d678526ca3ad34dc0c391d8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-18T15:20:30Z","title_canon_sha256":"e84d391aa0dfe6dd1ac172cf07e106b93233e3392496663ee6dfcb576494df8a"},"schema_version":"1.0","source":{"id":"2606.20595","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20595","created_at":"2026-06-23T00:11:50Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20595v1","created_at":"2026-06-23T00:11:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20595","created_at":"2026-06-23T00:11:50Z"},{"alias_kind":"pith_short_12","alias_value":"6GFLT6DXPMRS","created_at":"2026-06-23T00:11:50Z"},{"alias_kind":"pith_short_16","alias_value":"6GFLT6DXPMRSB3WQ","created_at":"2026-06-23T00:11:50Z"},{"alias_kind":"pith_short_8","alias_value":"6GFLT6DX","created_at":"2026-06-23T00:11:50Z"}],"graph_snapshots":[{"event_id":"sha256:6e0553f3329632714275d36b6adb070bca8f2e1b60f00b14860a9dd2d2b924c7","target":"graph","created_at":"2026-06-23T00:11:50Z","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/2606.20595/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Crafting cartoon captions requires an understanding of humor, context, and the relationship between image and text. Traditionally, illustrators and writers collaborate to strengthen visual storytelling and comedic timing. With advances in natural language generation, Large Language Models (LLMs) can assist in this process. This study examines AI's role in caption generation by testing GPT-4o via the ChatGPT interface on IEEE Computer magazine cartoons. By removing captions and prompting AI to generate replacements, we assess its ability to produce jokes that match the depicted situation and na","authors_text":"Derya Akleman, Ergun Akleman, Metin Sezgin, Sanem Sariel, U\\u{g}ur \\\"Onal","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-18T15:20:30Z","title":"Hybrid Intelligence in Cartoon Captioning: Evaluating AI as a Creative Writing Partner"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20595","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:a3e20fe7bb54a7cbd07c9cb42c34f7e1bd7d9b8e4156c093d361a8cd7301c48f","target":"record","created_at":"2026-06-23T00:11:50Z","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":"bacff8089b371357bfc3e41a0352365a3498f1261d678526ca3ad34dc0c391d8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.HC","submitted_at":"2026-05-18T15:20:30Z","title_canon_sha256":"e84d391aa0dfe6dd1ac172cf07e106b93233e3392496663ee6dfcb576494df8a"},"schema_version":"1.0","source":{"id":"2606.20595","kind":"arxiv","version":1}},"canonical_sha256":"f18ab9f8777b2320eed0273ac4cfebc2e3b761ae4f7087c48a37d1c2e1577599","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f18ab9f8777b2320eed0273ac4cfebc2e3b761ae4f7087c48a37d1c2e1577599","first_computed_at":"2026-06-23T00:11:50.938113Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-23T00:11:50.938113Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"LcftwNOvermt6Gnm021jSb1OqFSXG0XC0ThbIC0ZCwKtpp003mXnh2a4ybN7lSYfXIokywUb5D+0cPUgucG4CQ==","signature_status":"signed_v1","signed_at":"2026-06-23T00:11:50.938539Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20595","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a3e20fe7bb54a7cbd07c9cb42c34f7e1bd7d9b8e4156c093d361a8cd7301c48f","sha256:6e0553f3329632714275d36b6adb070bca8f2e1b60f00b14860a9dd2d2b924c7"],"state_sha256":"d59bf54bcdd820ab463f9273cf1bc37fb854674f8c35baf12deafb80b3dc3468"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2FDQ3S3Z+Yd0Yu2THWEGB0PcXzI05lAG+VjkdQGpho/QVEZJeswrCFYLYxcuKpZXcoVjItJ34wcVqws+oJ2tDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T10:18:23.714571Z","bundle_sha256":"afd125a7d607a6923724a8647b68cffa316c8f541e8fe5907807ab3d669115af"}}