{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:PPBOQFY4PXPXZ2YKV4F72RBXUX","short_pith_number":"pith:PPBOQFY4","schema_version":"1.0","canonical_sha256":"7bc2e8171c7ddf7ceb0aaf0bfd4437a5c38acd6c13d8d4fba38d6a661484082e","source":{"kind":"arxiv","id":"2608.05210","version":1},"attestation_state":"computed","paper":{"title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR"],"primary_cat":"cs.CV","authors_text":"Junjie Chu, Mingjie Li, Yang Zhang, Ye Leng, Yiting Qu, Yun Shen","submitted_at":"2026-08-05T08:56:47Z","abstract_excerpt":"Picture books and comics have long been used to disseminate hateful narratives because they are easily understood even by children, as exemplified by the notorious Nazi propaganda picture book \\emph{Der Giftpilz}. Recently, frontier text-to-image (T2I) systems such as Gemini and GPT-Image have enabled conversational generation with consistent characters and scenes across turns, making hateful visual stories, namely ordered image groups that collectively convey hateful narratives, cheap and scalable to produce. Although prior work has studied hateful content generation by T2I systems, it focuse"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2608.05210","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-08-05T08:56:47Z","cross_cats_sorted":["cs.AI","cs.CR"],"title_canon_sha256":"630ff1c293485bf5a40812226571b07c1d1b864edb60f0afeafe967196690239","abstract_canon_sha256":"c8c3549add5d705ee42b4b9758b6e80cf6b65bf61019047214f93bea966532e9"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-08-07T00:46:32.104628Z","signature_b64":"fzaKX6dlm6fIs8GUanVMMV/Ro+tYvhCVuUDOleFoG/7s4w/xuTE8sAnsml/VAE/4rQuCkk6v5aj+eT+5Js+zAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7bc2e8171c7ddf7ceb0aaf0bfd4437a5c38acd6c13d8d4fba38d6a661484082e","last_reissued_at":"2026-08-07T00:46:32.103087Z","signature_status":"signed_v1","first_computed_at":"2026-08-07T00:46:32.103087Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.AI","cs.CR"],"primary_cat":"cs.CV","authors_text":"Junjie Chu, Mingjie Li, Yang Zhang, Ye Leng, Yiting Qu, Yun Shen","submitted_at":"2026-08-05T08:56:47Z","abstract_excerpt":"Picture books and comics have long been used to disseminate hateful narratives because they are easily understood even by children, as exemplified by the notorious Nazi propaganda picture book \\emph{Der Giftpilz}. Recently, frontier text-to-image (T2I) systems such as Gemini and GPT-Image have enabled conversational generation with consistent characters and scenes across turns, making hateful visual stories, namely ordered image groups that collectively convey hateful narratives, cheap and scalable to produce. Although prior work has studied hateful content generation by T2I systems, it focuse"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2608.05210","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/2608.05210/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2608.05210","created_at":"2026-08-07T00:46:32.104485+00:00"},{"alias_kind":"arxiv_version","alias_value":"2608.05210v1","created_at":"2026-08-07T00:46:32.104485+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2608.05210","created_at":"2026-08-07T00:46:32.104485+00:00"},{"alias_kind":"pith_short_12","alias_value":"PPBOQFY4PXPX","created_at":"2026-08-07T00:46:32.104485+00:00"},{"alias_kind":"pith_short_16","alias_value":"PPBOQFY4PXPXZ2YK","created_at":"2026-08-07T00:46:32.104485+00:00"},{"alias_kind":"pith_short_8","alias_value":"PPBOQFY4","created_at":"2026-08-07T00:46:32.104485+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/PPBOQFY4PXPXZ2YKV4F72RBXUX","json":"https://pith.science/pith/PPBOQFY4PXPXZ2YKV4F72RBXUX.json","graph_json":"https://pith.science/api/pith-number/PPBOQFY4PXPXZ2YKV4F72RBXUX/graph.json","events_json":"https://pith.science/api/pith-number/PPBOQFY4PXPXZ2YKV4F72RBXUX/events.json","paper":"https://pith.science/paper/PPBOQFY4"},"agent_actions":{"view_html":"https://pith.science/pith/PPBOQFY4PXPXZ2YKV4F72RBXUX","download_json":"https://pith.science/pith/PPBOQFY4PXPXZ2YKV4F72RBXUX.json","view_paper":"https://pith.science/paper/PPBOQFY4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2608.05210&json=true","fetch_graph":"https://pith.science/api/pith-number/PPBOQFY4PXPXZ2YKV4F72RBXUX/graph.json","fetch_events":"https://pith.science/api/pith-number/PPBOQFY4PXPXZ2YKV4F72RBXUX/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PPBOQFY4PXPXZ2YKV4F72RBXUX/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PPBOQFY4PXPXZ2YKV4F72RBXUX/action/storage_attestation","attest_author":"https://pith.science/pith/PPBOQFY4PXPXZ2YKV4F72RBXUX/action/author_attestation","sign_citation":"https://pith.science/pith/PPBOQFY4PXPXZ2YKV4F72RBXUX/action/citation_signature","submit_replication":"https://pith.science/pith/PPBOQFY4PXPXZ2YKV4F72RBXUX/action/replication_record"}},"created_at":"2026-08-07T00:46:32.104485+00:00","updated_at":"2026-08-07T00:46:32.104485+00:00"}