Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:13:19.650039Z
Paper Citation Record · LEDGER
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation
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.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
- verified exact1
- verified fuzzy41
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation b8df51f1-c909-4fc6-88ac-79019b0d1435 · outbound
This paper cites Introducing Claude Haiku 4.5.https://ww w.anthropic.com/news/claude-haiku-4-5, 2025.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Introducing Claude Haiku 4.5.https://ww w.anthropic.com/news/claude-haiku-4-5, 2025
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.700617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4e95f0c7-1d70-4b64-a5f9-08dd466e2f5b · outbound
This paper cites Prompting for Multimodal Hateful Meme Clas- sification.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Prompting for Multimodal Hateful Meme Clas- sification
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.685512Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0c4cb8b6-fa16-40d1-8deb-816a7bfbcaa0 · outbound
This paper cites JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:13:19.384136Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08aa5874-bd96-41be-ab41-0201d0c36519 · outbound
This paper cites Neeko: Model Hijack- ing Attacks Against Generative Adversarial Networks.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Neeko: Model Hijack- ing Attacks Against Generative Adversarial Networks
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.669160Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cbe96fd7-32ed-4183-b62c-e7fe42417532 · outbound
This paper cites Jail- breakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Jail- breakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.652429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fae457ce-3a89-48a0-9e2e-bf7620c4ac60 · outbound
This paper cites Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Benchmark of Benchmarks: Unpacking Influence and Code Repository Quality in LLM Safety Benchmarks
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:13:19.400840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 79a956ef-5b84-4c13-933a-81432d48b1ac · outbound
This paper cites Reading Poison: Science and Story in Nazi Children’s Propaganda.Children’s Literature in Education, 2022.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Reading Poison: Science and Story in Nazi Children’s Propaganda.Children’s Literature in Education, 2022
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.638366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 567f7a67-537c-4c18-a30c-51c3b81ad870 · outbound
This paper cites Gemini 2.5 Flash Image.https://ai.goo gle.dev/gemini-api/docs/models/gemini-2.5- flash-image, 2025.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Gemini 2.5 Flash Image.https://ai.goo gle.dev/gemini-api/docs/models/gemini-2.5- flash-image, 2025
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.623127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5322831a-8378-44ce-9a95-608c2cdb9311 · outbound
This paper cites Gemini 2.5 Flash Image (Nano Banana).http s://ai.google.dev/gemini-api/docs/models/ge mini-2.5-flash-image, 2025.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Gemini 2.5 Flash Image (Nano Banana).http s://ai.google.dev/gemini-api/docs/models/ge mini-2.5-flash-image, 2025
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.604429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 82a98755-a5e4-4c43-aa75-685426af651d · outbound
This paper cites Gemini 3 Pro Image.https://ai.googl e.dev/gemini-api/docs/models/gemini-3-pro- image, 2025.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Gemini 3 Pro Image.https://ai.googl e.dev/gemini-api/docs/models/gemini-3-pro- image, 2025
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.586091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3a5ad046-a450-431e-b769-415fd98ca468 · outbound
This paper cites Gemini 3.1 Flash Image Preview.https://ai .google.dev/gemini-api/docs/models/gemini- 3.1-flash-image, 2026.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Gemini 3.1 Flash Image Preview.https://ai .google.dev/gemini-api/docs/models/gemini- 3.1-flash-image, 2026
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.568555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d0f80d7f-65ee-4f57-a5aa-35a6965e2e61 · outbound
This paper cites Gemini 3.1 Flash-Lite.https://ai.googl e.dev/gemini-api/docs/models/gemini-3.1- flash-lite, 2026.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Gemini 3.1 Flash-Lite.https://ai.googl e.dev/gemini-api/docs/models/gemini-3.1- flash-lite, 2026
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.553620Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c042b95e-54ab-4359-b0e0-74d85fe888cd · outbound
This paper cites an unresolved cited work.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T18:13:20.537842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6620bbcf-2450-475a-a28c-1bae05bcebd4 · outbound
This paper cites LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.521938Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c6f4fb43-8b31-4be6-89e9-92f102bc4e2a · outbound
This paper cites LlavaGuard.ht tps://github.com/ml- research/llavaguard,.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation LlavaGuard.ht tps://github.com/ml- research/llavaguard,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.506781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5f1f6224-5ed1-4a43-b2e2-7012938380ca · outbound
This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.490426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b4ac8935-75b3-4e0a-a026-bb429233c6ee · outbound
This paper cites JailbreakDiffBench: A Comprehensive Benchmark for Jailbreaking Diffusion Models.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation JailbreakDiffBench: A Comprehensive Benchmark for Jailbreaking Diffusion Models
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.473767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d4911182-6795-409b-849f-33964424a3b7 · outbound
This paper cites Experiment with Gemini 2.0 Flash Native Image Generation.https:// developers.googleblog.com/experiment-with- gemini-20-flash-native-image-generation/,.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Experiment with Gemini 2.0 Flash Native Image Generation.https:// developers.googleblog.com/experiment-with- gemini-20-flash-native-image-generation/,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.457062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f90e6fb7-1586-41bf-a8a1-f2b201929087 · outbound
This paper cites The Hateful Memes Challenge: De- tecting Hate Speech in Multimodal Memes.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation The Hateful Memes Challenge: De- tecting Hate Speech in Multimodal Memes
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.440445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4eb9a4e9-fa8d-4d6f-99e4-5f359f54d28c · outbound
This paper cites Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Hate-CLIPper: Multimodal Hateful Meme Classification based on Cross-modal Interaction of CLIP Features
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:13:19.477317Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cdbc5b3-f96f-4936-969b-27f3b6eba75a · outbound
This paper cites When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation When Understanding Becomes a Risk: Authenticity and Safety Risks in the Emerging Image Generation Paradigm
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.425405Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0e25186b-e2d5-4ca8-b163-51a22d110d67 · outbound
This paper cites T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Pri- vacy in Image Generation.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation T2ISafety: Benchmark for Assessing Fairness, Toxicity, and Pri- vacy in Image Generation
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.406392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 53db67f4-9c8c-4c3d-91ff-e286c378dda0 · outbound
This paper cites From Meme to Threat: On the Hateful Meme Understand- ing and Induced Hateful Content Generation in Open- Source Vision Language Models.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation From Meme to Threat: On the Hateful Meme Understand- ing and Induced Hateful Content Generation in Open- Source Vision Language Models
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.391393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation df55676e-648f-4e95-a10e-73c2a9887cb8 · outbound
This paper cites Improving Hateful Meme Detec- tion through Retrieval-Guided Contrastive Learning.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Improving Hateful Meme Detec- tion through Retrieval-Guided Contrastive Learning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.376188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 30b5bc6b-abc8-4194-a761-80fef94b5b8a · outbound
This paper cites Llama Guard 4 12B.https://huggingface.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Llama Guard 4 12B.https://huggingface
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.358252Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fd34bc4a-a943-441f-ac19-7626a846439a · outbound
This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:13:19.505754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 890fb396-1a31-4fb4-8779-af9465645c87 · outbound
This paper cites an unresolved cited work.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T18:13:20.342851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b3c3b240-a7f1-4067-8724-309dac68b20b · outbound
This paper cites OpenAI Moderation API.https://develo pers.openai.com/api/docs/guides/moderation.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation OpenAI Moderation API.https://develo pers.openai.com/api/docs/guides/moderation
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.328673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4418e2c2-c19b-4bdb-9ea0-5d54339ad475 · outbound
This paper cites GPT Image 1.5.https://developers.ope nai.com/api/docs/models/gpt-image-1.5, 2025.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation GPT Image 1.5.https://developers.ope nai.com/api/docs/models/gpt-image-1.5, 2025
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.312374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c76d6114-50ba-4d8d-8e37-6d4cc7bd7f0f · outbound
This paper cites Introducing 4o Image Generation.https: //openai.com/index/introducing-4o-image- generation/, 2025.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Introducing 4o Image Generation.https: //openai.com/index/introducing-4o-image- generation/, 2025
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.296477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4aa3056c-e6aa-45fd-a0fc-af2aa2d45e33 · outbound
This paper cites GPT Image 2.https://developers.opena i.com/api/docs/models/gpt-image-2, 2026.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation GPT Image 2.https://developers.opena i.com/api/docs/models/gpt-image-2, 2026
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.278746Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 10779891-57c5-4f9f-8b03-5648297fb04b · outbound
This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:13:19.538303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6945bbc6-b498-4e51-b2ca-19ee1315c39a · outbound
This paper cites Unsafe Diffu- sion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Unsafe Diffu- sion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.261149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 439c9b23-1290-42ca-9f44-30c2eba08625 · outbound
This paper cites UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation UnsafeBench: Benchmarking Image Safety Classifiers on Real-World and AI-Generated Images
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.245503Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b1a62c91-c177-4ad5-b4ae-f9d063e0a3e7 · outbound
This paper cites Zero-Shot Text-to-Image Generation.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Zero-Shot Text-to-Image Generation
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.227383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f034c1a4-3082-460e-aa0a-21b420e44dcc · outbound
This paper cites High-Resolution Im- age Synthesis with Latent Diffusion Models.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation High-Resolution Im- age Synthesis with Latent Diffusion Models
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.210559Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 782aab3a-1c76-4c41-94db-90b0b2b2c72b · outbound
This paper cites 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.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation 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
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.186340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1a1e55d8-a677-4503-a64c-1a4cbe305a35 · outbound
This paper cites an unresolved cited work.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T18:13:20.162186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9174ed47-80df-47c2-b9b8-eaef3782a02e · outbound
This paper cites Q16.https://github.com/ml- research/Q16, 2022.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Q16.https://github.com/ml- research/Q16, 2022
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.139000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2c809939-5f03-4007-9ea3-9916a0da5670 · outbound
This paper cites Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.118847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c8711fe6-7d3b-4826-8c4a-83b9830f4344 · outbound
This paper cites Qwen2.5-VL-7B.https://qwen.ai/bl og?id=qwen2.5-vl, 2025.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Qwen2.5-VL-7B.https://qwen.ai/bl og?id=qwen2.5-vl, 2025
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.100429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e34c6a21-09e5-41e9-bc76-bf26b289e1d6 · outbound
This paper cites Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? In International Conference on Learning Representations (ICLR), 2024.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models? In International Conference on Learning Representations (ICLR), 2024
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.076432Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f81ef5d0-b5eb-48fd-a590-7fe4ebcf751f · outbound
This paper cites Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Chain-of-Jailbreak Attack for Image Generation Models via Step by Step Editing
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.048065Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1fb079d3-1f93-4f80-a761-0878cc588708 · outbound
This paper cites Image-Perfect Imperfections: Safety, Bias, and Au- thenticity in the Shadow of Text-To-Image Model Evo- lution.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Image-Perfect Imperfections: Safety, Bias, and Au- thenticity in the Shadow of Text-To-Image Model Evo- lution
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:20.019847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f28573e1-4410-4c46-8e7c-064e2f0a77ea · outbound
This paper cites MMA-Diffusion: Mul- tiModal Attack on Diffusion Models.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation MMA-Diffusion: Mul- tiModal Attack on Diffusion Models
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:19.995250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8bdf2703-ab58-4fcc-8fca-578a575a407e · outbound
This paper cites SneakyPrompt: Jailbreaking Text-to- Image Generative Models.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation SneakyPrompt: Jailbreaking Text-to- Image Generative Models
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:19.977717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ceb928d8-9b90-4684-a4a5-26602c295775 · outbound
This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:13:19.618648Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7cac9bff-d814-4a16-aeac-e3b40a83c6ff · outbound
This paper cites When Safe Concepts Become Unsafe: Multi-Concept Compositional Vulnerabilities in Text-to-Image Models.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation When Safe Concepts Become Unsafe: Multi-Concept Compositional Vulnerabilities in Text-to-Image Models
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-08T18:13:19.728060Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3bf2067b-4420-4b6c-a469-1454d154c9ea · outbound
This paper cites When Memory Becomes a Vulnerability: To- wards Multi-Turn Jailbreak Attacks against Text-to- Image Generation Systems.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation When Memory Becomes a Vulnerability: To- wards Multi-Turn Jailbreak Attacks against Text-to- Image Generation Systems
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:19.960914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a77f09cd-c6b2-44ad-af45-b6e8708dc13c · outbound
This paper cites an unresolved cited work.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T18:13:19.942429Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1e443072-a1da-41f1-bbf4-8578ede9db37 · outbound
This paper cites A meaning-bearing unit may be an event, state, utterance, comparison, revelation, or change in attitude that introduces information relevant to the overall meaning.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation A meaning-bearing unit may be an event, state, utterance, comparison, revelation, or change in attitude that introduces information relevant to the overall meaning
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:19.921725Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8d89eeb5-03d9-433c-b293-8413d20a0117 · outbound
This paper cites an unresolved cited work.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-08T18:13:19.892069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation eb6f515e-25ea-4c92-9918-2fa20080397b · outbound
This paper cites Annotators evaluated the implication of the full narrative rather than requiring any individual sentence, event, or image to be independently hateful.
Innocent Panels, Hateful Stories: Evaluating and Detecting Hateful Intent in Multi-Turn Visual Story Generation Annotators evaluated the implication of the full narrative rather than requiring any individual sentence, event, or image to be independently hateful
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T18:13:19.871231Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.