{"as_of":"2026-08-10T14:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7afd0aaab97056beddcc338a871d25018c0a026de66aa8d3d391990712071c1e","coverage":[{"denominator":53,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":53,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T18:13:19.650039Z","state":"measured"},{"denominator":53,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":53,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2608.05210/citation-record","integrity":"/paper/2608.05210/integrity","json":"/paper/2608.05210/citation-record.json","paper":"/paper/2608.05210"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.696034Z","title":"Introducing Claude Haiku 4.5.https://ww w.anthropic.com/news/claude-haiku-4-5, 2025","venue":null,"work_id":"dba6f5e1-afe1-41c3-8e20-75b97541c91e","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.373132Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:bd3251586c66c79d9f5631c76239a11cf361b18d42090f43ea0c899853aa9ab6","observation_id":"b8df51f1-c909-4fc6-88ac-79019b0d1435","resolution":{"observed_at":"2026-08-08T18:13:20.700617Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.679869Z","title":"Prompting for Multimodal Hateful Meme Clas- sification","venue":null,"work_id":"32b804b7-9d6f-4de1-8f76-2ee250cd21c3","year":2022},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.378929Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:fc17d3ebf968d52ed1f6779c39ba1a4d43cb30ad8c4836fdc49dbf2f26dbd76d","observation_id":"4e95f0c7-1d70-4b64-a5f9-08dd466e2f5b","resolution":{"observed_at":"2026-08-08T18:13:20.685512Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2508.20848","last_updated":"2025-08-28T14:40:27Z","snapshot_observed_at":"2026-08-09T22:07:47.609622Z","submitted_at":"2025-08-28T14:40:27Z","title":"JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.20848","snapshot_observed_at":"2026-08-08T18:13:19.384136Z","title":"JADES: A Universal Framework for Jail- break Assessment via Decompositional Scoring.CoRR abs/2508.20848, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.384136Z"},"links":{"cited_paper":"/paper/2508.20848","citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:7c9b15c0d4fde26c2ff1406088183dde1ea7586438bfb8705cfe92242de190a5","observation_id":"0c4cb8b6-fa16-40d1-8deb-816a7bfbcaa0","resolution":{"observed_at":"2026-08-08T18:13:19.384136Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.664138Z","title":"Neeko: Model Hijack- ing Attacks Against Generative Adversarial Networks","venue":null,"work_id":"1563d761-c9a3-4534-a65c-7d0652185a5b","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.389552Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:aedc22776b4ce5ce30981af4fa50306c664e07e828d59a7f6e07cfc272ada896","observation_id":"08aa5874-bd96-41be-ab41-0201d0c36519","resolution":{"observed_at":"2026-08-08T18:13:20.669160Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.648106Z","title":"Jail- breakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs","venue":null,"work_id":"1cb649eb-28d3-4cd9-beb4-e681c440c05e","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.395036Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:69d24a50e3cfec2c2abf8bbf8a96700131a4c12bcb14d5cb81013039c25c11b6","observation_id":"cbe96fd7-32ed-4183-b62c-e7fe42417532","resolution":{"observed_at":"2026-08-08T18:13:20.652429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2603.04459","last_updated":"2026-05-14T18:30:07Z","snapshot_observed_at":"2026-07-06T22:47:50.848191Z","submitted_at":"2026-03-03T09:10:45Z","title":"Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2603.04459","snapshot_observed_at":"2026-08-08T18:13:19.400840Z","title":"Benchmark of Bench- marks: Unpacking Influence and Code Reposi- tory Quality in LLM Safety Benchmarks.CoRR abs/2603.04459, 2026","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.400840Z"},"links":{"cited_paper":"/paper/2603.04459","citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:2c5c21c82b6e7606fcbe9502580cb9b9843e855ac8cf6cca2b9980589a73af25","observation_id":"fae457ce-3a89-48a0-9e2e-bf7620c4ac60","resolution":{"observed_at":"2026-08-08T18:13:19.400840Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.633667Z","title":"Reading Poison: Science and Story in Nazi Children’s Propaganda.Children’s Literature in Education, 2022","venue":null,"work_id":"429e1ea9-d53a-45dc-b5df-d5c543f250c5","year":2022},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.408183Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:d2518740211058e6fef503d6fa41171a574e2353c72b0a1d24fd357a21ac8390","observation_id":"79a956ef-5b84-4c13-933a-81432d48b1ac","resolution":{"observed_at":"2026-08-08T18:13:20.638366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.617734Z","title":"Gemini 2.5 Flash Image.https://ai.goo gle.dev/gemini-api/docs/models/gemini-2.5- flash-image, 2025","venue":null,"work_id":"cbdae2bd-891c-49b6-ac28-c4d46d969c24","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.412877Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:bb4478a321f3a7cdac45fdd3807b08d32f37568221c63c535e7568e38d144e7d","observation_id":"567f7a67-537c-4c18-a30c-51c3b81ad870","resolution":{"observed_at":"2026-08-08T18:13:20.623127Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.598017Z","title":"Gemini 2.5 Flash Image (Nano Banana).http s://ai.google.dev/gemini-api/docs/models/ge mini-2.5-flash-image, 2025","venue":null,"work_id":"be3af466-e9e0-4c92-bc8c-7f2b087f90ec","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.419780Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:46440302db79b1f6c602074eee10f3c2d3d4e82e18f7376ad24bd1be40dc1b4e","observation_id":"5322831a-8378-44ce-9a95-608c2cdb9311","resolution":{"observed_at":"2026-08-08T18:13:20.604429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.580461Z","title":"Gemini 3 Pro Image.https://ai.googl e.dev/gemini-api/docs/models/gemini-3-pro- image, 2025","venue":null,"work_id":"530a2df4-8b5f-4a8a-b2b0-0a749bbdf7e2","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.426092Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:fa79f1db2c0230e80002af88a56184184376ff4e2e968e82e7f36e81c5331e1d","observation_id":"82a98755-a5e4-4c43-aa75-685426af651d","resolution":{"observed_at":"2026-08-08T18:13:20.586091Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.564051Z","title":"Gemini 3.1 Flash Image Preview.https://ai .google.dev/gemini-api/docs/models/gemini- 3.1-flash-image, 2026","venue":null,"work_id":"f8dc71b1-ca30-4798-b189-cdb62cfc09b3","year":2026},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.431418Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:48840c0146964985c7c78eddc07a580016de4c3be7f62c26aa3256618ff8e5fc","observation_id":"3a5ad046-a450-431e-b769-415fd98ca468","resolution":{"observed_at":"2026-08-08T18:13:20.568555Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.548184Z","title":"Gemini 3.1 Flash-Lite.https://ai.googl e.dev/gemini-api/docs/models/gemini-3.1- flash-lite, 2026","venue":null,"work_id":"1b9ea68c-68a2-44e6-a045-244751fb6fc6","year":2026},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.435807Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:cf32cfb706cd87149b1056c8ffa3bee1cd1bfc75fe67d9567bdd7f181f9c6cc6","observation_id":"d0f80d7f-65ee-4f57-a5aa-35a6965e2e61","resolution":{"observed_at":"2026-08-08T18:13:20.553620Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.532908Z","title":null,"venue":null,"work_id":"1759d7f1-bf0e-4a47-a1b4-a583ddad693b","year":1936},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.440898Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:244c035341471c26719259b5c303836ba02ba63d73b1e0ccf072c498972e5bb5","observation_id":"c042b95e-54ab-4359-b0e0-74d85fe888cd","resolution":{"observed_at":"2026-08-08T18:13:20.537842Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.516742Z","title":"LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models","venue":null,"work_id":"763e6c3f-382c-45f5-bcd1-248a74f726f2","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.446041Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:23c757190e27059045236103a992c4761bf1ea9744fd0edd644da1735ab80e22","observation_id":"6620bbcf-2450-475a-a28c-1bae05bcebd4","resolution":{"observed_at":"2026-08-08T18:13:20.521938Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.501796Z","title":"LlavaGuard.ht tps://github.com/ml- research/llavaguard,","venue":null,"work_id":"7a66fa65-29a9-4096-8417-e83e2262dd72","year":null},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.451607Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:f44358eae3e93e604f647e19a5c123fb8c6ec27f29365f4519eca3d1e5947a4c","observation_id":"c6f4fb43-8b31-4be6-89e9-92f102bc4e2a","resolution":{"observed_at":"2026-08-08T18:13:20.506781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.485830Z","title":"Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen","venue":null,"work_id":"ae76ecb3-4c1b-4b28-bd94-b480dae46264","year":2022},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.456528Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:c8c9ea2c717365fffcdde11819a96e865cbe747bc9f9dca6e5db4d47b01040f6","observation_id":"5f1f6224-5ed1-4a43-b2e2-7012938380ca","resolution":{"observed_at":"2026-08-08T18:13:20.490426Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.468699Z","title":"JailbreakDiffBench: A Comprehensive Benchmark for Jailbreaking Diffusion Models","venue":null,"work_id":"d7d96c7a-c596-4ed8-a186-20fd5eac2b73","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.461109Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:c9facca7bf97f9f5953bee2074f17ad1e06fab390af472818315dffa9c251a71","observation_id":"b4ac8935-75b3-4e0a-a026-bb429233c6ee","resolution":{"observed_at":"2026-08-08T18:13:20.473767Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.451106Z","title":"Experiment with Gemini 2.0 Flash Native Image Generation.https:// developers.googleblog.com/experiment-with- gemini-20-flash-native-image-generation/,","venue":null,"work_id":"2067fa33-08aa-4bda-bd20-5a1a572e4b4b","year":null},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.465619Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:75302da9a1f2a7459dbaa4a7fef268b42cbd52f9dbf86f7ae8e57ebeca8bb0ce","observation_id":"d4911182-6795-409b-849f-33964424a3b7","resolution":{"observed_at":"2026-08-08T18:13:20.457062Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.435452Z","title":"The Hateful Memes Challenge: De- tecting Hate Speech in Multimodal Memes","venue":null,"work_id":"ccd88d56-78a4-40f6-9b63-a5ff7758d732","year":2020},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.471574Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:617bbbc453f90299f27eb4e780097479ce4c1b462f97801482be7ba4ebebd66f","observation_id":"f90e6fb7-1586-41bf-a8a1-f2b201929087","resolution":{"observed_at":"2026-08-08T18:13:20.440445Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.05916","last_updated":"2022-10-17T10:29:03Z","snapshot_observed_at":"2026-07-06T14:04:01.312283Z","submitted_at":"2022-10-12T04:34:54Z","title":"Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.05916","snapshot_observed_at":"2026-08-08T18:13:19.477317Z","title":"Hate- CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.477317Z"},"links":{"cited_paper":"/paper/2210.05916","citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:eaba0beef1755f19955711c55628414e2138510aae632d2798f8e4c933a5c580","observation_id":"4eb9a4e9-fa8d-4d6f-99e4-5f359f54d28c","resolution":{"observed_at":"2026-08-08T18:13:19.477317Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.420432Z","title":"When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm","venue":null,"work_id":"49c2e949-82f1-471c-a894-251979f51acc","year":2026},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.483022Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:38ce759e77d5c9589a7a76e5f0f591428508e4179346caaad47aa079c7c2a4e7","observation_id":"9cdbc5b3-f96f-4936-969b-27f3b6eba75a","resolution":{"observed_at":"2026-08-08T18:13:20.425405Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.401689Z","title":"T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Pri- vacy in Image Generation","venue":null,"work_id":"12b7104d-f363-49b1-b27f-8dc5ca62172c","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.488345Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:8dd60429c4b7aa6c0e9d5afe0d5ac565fb45697fb79eee6b1cbe0a990eb1e651","observation_id":"0e25186b-e2d5-4ca8-b163-51a22d110d67","resolution":{"observed_at":"2026-08-08T18:13:20.406392Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.387024Z","title":"From Meme to Threat: On the Hateful Meme Understand- ing and Induced Hateful Content Generation in Open- Source Vision Language Models","venue":null,"work_id":"998042b6-22a5-4e51-8ffa-19866f731d09","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.492657Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:8cb8dfbbe3a4465d968fe683984b64ddb853057c309f6becb9d7e04583bf2482","observation_id":"53db67f4-9c8c-4c3d-91ff-e286c378dda0","resolution":{"observed_at":"2026-08-08T18:13:20.391393Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.371022Z","title":"Improving Hateful Meme Detec- tion through Retrieval-Guided Contrastive Learning","venue":null,"work_id":"99a2f198-5bcc-4015-a4e1-db4cc2072f01","year":2024},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.497038Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:42421540b5c1e9faa622067f8114cd19212ba0f7a5dded5c34c10080db776e58","observation_id":"df55676e-648f-4e95-a10e-73c2a9887cb8","resolution":{"observed_at":"2026-08-08T18:13:20.376188Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.352319Z","title":"Llama Guard 4 12B.https://huggingface","venue":null,"work_id":"1186f0bb-eccd-4fe0-b5d6-62c7618779ed","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.501380Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:fef1d780154fd25d5182e4f5fb0c37af28b034ef9361e6c64b01a0df38909588","observation_id":"30b5bc6b-abc8-4194-a761-80fef94b5b8a","resolution":{"observed_at":"2026-08-08T18:13:20.358252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10741","last_updated":"2022-03-08T18:18:49Z","snapshot_observed_at":"2026-08-07T12:21:17.790675Z","submitted_at":"2021-12-20T18:42:55Z","title":"GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10741","snapshot_observed_at":"2026-08-08T18:13:19.505754Z","title":"GLIDE: Towards Photore- alistic Image Generation and Editing with Text-Guided Diffusion Models.CoRR abs/2112.10741, 2021","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.505754Z"},"links":{"cited_paper":"/paper/2112.10741","citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:bd082d67f5185fe91ebb9c694767c11dd38cfbfb4b970995f9a79acee986a016","observation_id":"fd34bc4a-a943-441f-ac19-7626a846439a","resolution":{"observed_at":"2026-08-08T18:13:19.505754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.338694Z","title":null,"venue":null,"work_id":"8d7fcd21-f52a-4247-8a98-1db5ef7df34f","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.510936Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:675ddc7cb4db68d72e14f4fce109824df2dca4cc81ac0d7af5e10cf49325bac1","observation_id":"890fb396-1a31-4fb4-8779-af9465645c87","resolution":{"observed_at":"2026-08-08T18:13:20.342851Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.323625Z","title":"OpenAI Moderation API.https://develo pers.openai.com/api/docs/guides/moderation","venue":null,"work_id":"be97c9fe-532f-4ffb-b9dd-ad81c3673d67","year":null},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.515688Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:ba47deef5d2517b85fe98817cededae332deb749977b2351640eb4c2c08c2f01","observation_id":"b3c3b240-a7f1-4067-8724-309dac68b20b","resolution":{"observed_at":"2026-08-08T18:13:20.328673Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.307250Z","title":"GPT Image 1.5.https://developers.ope nai.com/api/docs/models/gpt-image-1.5, 2025","venue":null,"work_id":"67ad020e-6038-47eb-94c9-8ac4e39b5b5f","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.521670Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:e032e7ea8403be7b1cc2708c568590149e9703770f65ab9daddcd5abaf4fd273","observation_id":"4418e2c2-c19b-4bdb-9ea0-5d54339ad475","resolution":{"observed_at":"2026-08-08T18:13:20.312374Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.290605Z","title":"Introducing 4o Image Generation.https: //openai.com/index/introducing-4o-image- generation/, 2025","venue":null,"work_id":"457eb979-27ff-470d-8c3e-482e0df716fa","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.526757Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:5e65419a22b19216ce8f9885f4962c1e58df68523930f5b4070d659f5dac78d3","observation_id":"c76d6114-50ba-4d8d-8e37-6d4cc7bd7f0f","resolution":{"observed_at":"2026-08-08T18:13:20.296477Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.273491Z","title":"GPT Image 2.https://developers.opena i.com/api/docs/models/gpt-image-2, 2026","venue":null,"work_id":"69d02809-fad8-4231-abdb-4c57a7a43592","year":2026},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.531884Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:d707d7f5f5ee26496b490b15e9b36c1522b3dea7ddcf23c7de6e02eb20023b74","observation_id":"4aa3056c-e6aa-45fd-a0fc-af2aa2d45e33","resolution":{"observed_at":"2026-08-08T18:13:20.278746Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.01952","last_updated":"2023-07-04T23:04:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-07-04T23:04:57Z","title":"SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.01952","snapshot_observed_at":"2026-08-08T18:13:19.538303Z","title":"SDXL: Improving Latent Dif- fusion Models for High-Resolution Image Synthesis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.538303Z"},"links":{"cited_paper":"/paper/2307.01952","citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:f76a2ebb0d687702ef9047c60e1e1b07470c09c399cefb2f30060d1ec201376e","observation_id":"10779891-57c5-4f9f-8b03-5648297fb04b","resolution":{"observed_at":"2026-08-08T18:13:19.538303Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.256661Z","title":"Unsafe Diffu- sion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models","venue":null,"work_id":"9dd804fc-0ac4-4256-b789-f2d868f7d440","year":2023},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.543433Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:e27bb8726f60edf1ad5bdb5528cafd3527c2218dfd3e6fcae91d5defcbefdcf3","observation_id":"6945bbc6-b498-4e51-b2ca-19ee1315c39a","resolution":{"observed_at":"2026-08-08T18:13:20.261149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.239515Z","title":"UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images","venue":null,"work_id":"d4efbed9-c9d8-43b1-ba70-7e2d5fb5ab1b","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.548359Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:34f3d23f43df267e168d351a96c9b1b142f6989cce23823bb2e08876b25157c1","observation_id":"439c9b23-1290-42ca-9f44-30c2eba08625","resolution":{"observed_at":"2026-08-08T18:13:20.245503Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.222264Z","title":"Zero-Shot Text-to-Image Generation","venue":null,"work_id":"9600611d-9094-4cf1-ba95-ff8625568099","year":2021},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.554229Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:9c9267530e60b48538d33f9ead5a60824dea65bb68dc34ffc89bbf9af906c7d4","observation_id":"b1a62c91-c177-4ad5-b4ae-f9d063e0a3e7","resolution":{"observed_at":"2026-08-08T18:13:20.227383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.204262Z","title":"High-Resolution Im- age Synthesis with Latent Diffusion Models","venue":null,"work_id":"e3f84cda-96d8-479a-8d0f-363c8a716dea","year":2022},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.559068Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:e4f1e3c6fee308c6069ab8778b700a05febfbcbda0a9af0463b9edfe229f044c","observation_id":"f034c1a4-3082-460e-aa0a-21b420e44dcc","resolution":{"observed_at":"2026-08-08T18:13:20.210559Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.177850Z","title":"Racist Videos Made with AI Are Going Viral on TikTok.https://www.theverge.com/new s/697188/racist-ai-generated-videos-goog le-veo-3-tiktok, 2025","venue":null,"work_id":"5ac4d539-7585-487f-b25e-b5e753b8a780","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.563832Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:857a414300f74c80459edc5208ea8dc1c6d10ef118e9bf35189d3a3a735f3ec8","observation_id":"782aab3a-1c76-4c41-94db-90b0b2b2c72b","resolution":{"observed_at":"2026-08-08T18:13:20.186340Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.155810Z","title":null,"venue":null,"work_id":"4e57cc7a-9764-4701-bf3f-f6a9dd8b3e00","year":null},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.568087Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:0a234e8f7613918d07e65efe69605abde9d98d23a7d2b0e1a09e1a88ef3375f4","observation_id":"1a1e55d8-a677-4503-a64c-1a4cbe305a35","resolution":{"observed_at":"2026-08-08T18:13:20.162186Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.131010Z","title":"Q16.https://github.com/ml- research/Q16, 2022","venue":null,"work_id":"b06bd35b-3be3-4f57-b792-36531b5ab013","year":2022},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.572537Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:64c0ae8c650ac0fdb1efe8c563813b208b9bd726c30027ec9eb76e4330dc46b1","observation_id":"9174ed47-80df-47c2-b9b8-eaef3782a02e","resolution":{"observed_at":"2026-08-08T18:13:20.139000Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.112844Z","title":"Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text","venue":null,"work_id":"060010d9-7577-4d4d-a834-aac2e031d1de","year":2020},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.577045Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:0f043e4c9178d361296e345c6a9d32beb72b8d73408f900c73b630920ae318b4","observation_id":"2c809939-5f03-4007-9ea3-9916a0da5670","resolution":{"observed_at":"2026-08-08T18:13:20.118847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.093989Z","title":"Qwen2.5-VL-7B.https://qwen.ai/bl og?id=qwen2.5-vl, 2025","venue":null,"work_id":"dc4644d3-3ddd-4561-80cb-38d048ce0e3b","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.581521Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:d00a3863ca0bc3dbd232ae18b7cb39f929d0e69f1d013e681e1245e733763a9f","observation_id":"c8711fe6-7d3b-4826-8c4a-83b9830f4344","resolution":{"observed_at":"2026-08-08T18:13:20.100429Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.067630Z","title":"Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? In International Conference on Learning Representations (ICLR), 2024","venue":null,"work_id":"caeaf0ec-2ff5-48b1-853f-517570436044","year":2024},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.586258Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:d9698ffcf04569b8aabcf81d86045ad46ff8a5e97463d25d074267ac98b89485","observation_id":"e34c6a21-09e5-41e9-bc76-bf26b289e1d6","resolution":{"observed_at":"2026-08-08T18:13:20.076432Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.037553Z","title":"Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing","venue":null,"work_id":"b6308c0a-72d6-4443-b934-1134d36d59a1","year":2025},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.591978Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:dbba2fa0aeb14bd1c23c7aeb009a3190174d94962141d7bb5bfbea9c1e1f4b99","observation_id":"f81ef5d0-b5eb-48fd-a590-7fe4ebcf751f","resolution":{"observed_at":"2026-08-08T18:13:20.048065Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:20.012629Z","title":"Image-Perfect Imperfections: Safety, Bias, and Au- thenticity in the Shadow of Text-To-Image Model Evo- lution","venue":null,"work_id":"a097d599-a394-409e-9776-b0cae35bbbac","year":2024},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.598043Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:f76adb65f7c314608bd25f7331cde87df33f259c9a2beff48138709558d1eb2b","observation_id":"1fb079d3-1f93-4f80-a761-0878cc588708","resolution":{"observed_at":"2026-08-08T18:13:20.019847Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:19.990223Z","title":"MMA-Diffusion: Mul- tiModal Attack on Diffusion Models","venue":null,"work_id":"ab851f83-0e5e-4043-a874-251440a8dda9","year":2024},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.605513Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:46af5b140058e1c07ffd61c3597f2eb98e2cb26cd1248be5bbc70158531234aa","observation_id":"f28573e1-4410-4c46-8e7c-064e2f0a77ea","resolution":{"observed_at":"2026-08-08T18:13:19.995250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:19.973258Z","title":"SneakyPrompt: Jailbreaking Text-to- Image Generative Models","venue":null,"work_id":"4576bf29-c06b-4109-b47a-a8d6e07d8cc6","year":2024},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.612102Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:84a5dc537400f251007e76da9a5be0e7e85cb1775afb08855ca46ec99c6b64a9","observation_id":"8bdf2703-ab58-4fcc-8fca-578a575a407e","resolution":{"observed_at":"2026-08-08T18:13:19.977717Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2206.10789","last_updated":"2022-06-22T01:11:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-06-22T01:11:29Z","title":"Scaling Autoregressive Models for Content-Rich Text-to-Image Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.10789","snapshot_observed_at":"2026-08-08T18:13:19.618648Z","title":"Scaling Autoregres- sive Models for Content-Rich Text-to-Image Genera- tion.CoRR abs/2206.10789, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.618648Z"},"links":{"cited_paper":"/paper/2206.10789","citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:fa9598b41df1020b5b50ce9438ad9f98d9a5bdb320820aa4f7a98e1e5fe888f9","observation_id":"ceb928d8-9b90-4684-a4a5-26602c295775","resolution":{"observed_at":"2026-08-08T18:13:19.618648Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2604.15967","last_updated":"2026-06-20T07:27:07Z","snapshot_observed_at":"2026-08-07T01:04:12.998070Z","submitted_at":"2026-04-17T11:30:46Z","title":"When Safe Concepts Become Unsafe: Multi-Concept Compositional Vulnerabilities in Text-to-Image Models","version":2},"cited_work":{"arxiv_id":"2604.15967","doi":null,"metadata_source":"pith","pith_arxiv_id":"2604.15967","snapshot_observed_at":"2026-08-08T18:13:19.718785Z","title":"When Safe Concepts Become Unsafe: Multi-Concept Compositional Vulnerabilities in Text-to-Image Models","venue":"cs.CR","work_id":"b2776e05-c0a2-4404-a312-e7a02e8b4bbb","year":2026},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.624324Z"},"links":{"cited_paper":"/paper/2604.15967","citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:62ded9ebf6dc5314fa43157799f3b1e11b2a5702c67e4e2c8b3b3d39cebf2b61","observation_id":"7cac9bff-d814-4a16-aeac-e3b40a83c6ff","resolution":{"observed_at":"2026-08-08T18:13:19.728060Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:19.955090Z","title":"When Memory Becomes a Vulnerability: To- wards Multi-Turn Jailbreak Attacks against Text-to- Image Generation Systems","venue":null,"work_id":"25c9f113-1eb3-44aa-8f08-f4c34be25e3e","year":2026},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.630248Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:43927554ff659ccc539ec6d59f6b95797d65863b43b1f7522509b8d4839aaa9a","observation_id":"3bf2067b-4420-4b6c-a469-1454d154c9ea","resolution":{"observed_at":"2026-08-08T18:13:19.960914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:19.936972Z","title":null,"venue":null,"work_id":"11dab32d-2274-4b82-afde-f527fccac344","year":null},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.634976Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:a40fcfa47422261e1b43b4d4d08f9f3da7345928b9647622767f9e306c3c6195","observation_id":"a77f09cd-c6b2-44ad-af45-b6e8708dc13c","resolution":{"observed_at":"2026-08-08T18:13:19.942429Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:19.914677Z","title":"A meaning-bearing unit may be an event, state, utterance, comparison, revelation, or change in attitude that introduces information relevant to the overall meaning","venue":null,"work_id":"a73c9f52-955b-4155-94d6-74a5bcb09239","year":null},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.639536Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:492af63fccfd43136d71f9bd7732857a5fe17ff21c0022741449cf800a0ce43d","observation_id":"1e443072-a1da-41f1-bbf4-8578ede9db37","resolution":{"observed_at":"2026-08-08T18:13:19.921725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:19.884689Z","title":null,"venue":null,"work_id":"84884342-0869-47e0-9695-f55fc5bc4d12","year":null},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.644698Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:702ffb4315777728f8a414d4fa95b3531f42945e7011c0e9e6e85df691413647","observation_id":"8d89eeb5-03d9-433c-b293-8413d20a0117","resolution":{"observed_at":"2026-08-08T18:13:19.892069Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-08T18:13:19.865672Z","title":"Annotators evaluated the implication of the full narrative rather than requiring any individual sentence, event, or image to be independently hateful","venue":null,"work_id":"2ff7778e-68fb-48e6-a07b-3e72d801872d","year":null},"citing_paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-08T18:13:19.650039Z"},"links":{"citing_paper":"/paper/2608.05210"},"observation_digest":"sha256:ac8f9b93bf4f0a241078f6f1438b8cdcbf7309c6bc3da27233c1e0a20bd8434d","observation_id":"eb6f515e-25ea-4c92-9918-2fa20080397b","resolution":{"observed_at":"2026-08-08T18:13:19.871231Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.05210","last_updated":"2026-08-05T08:56:47Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T23:10:18.264988Z","submitted_at":"2026-08-05T08:56:47Z","title":"Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation"},"reference_resolution":{"displayed":53,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":11,"verified_exact":1,"verified_fuzzy":41},"total_outbound_references":53},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2608.05210."}