Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2604.01444.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T22:27:44.703466Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-28T22:32:44.314091Z
42 of 42 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 70d12f98-1c10-4ba0-8fd5-7f5d50dd68f3 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Vending-Bench: A Benchmark for Long-Term Coherence of Autonomous Agents
Reference 1
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Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Foodsafesum: Enabling natural language processing applications for food safety document summa- rization and analysis
Reference 2
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Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell
Reference 3
Source-reported events for the cited work
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Observation e1de75b1-6d2a-4e82-bbce-7a6075274f46 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models To Trust or to Think: Cognitive Forcing Functions Can Reduce Overreliance on AI in AI-assisted Decision-making
Reference 4
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Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Jailbreaking Black Box Large Language Models in Twenty Queries
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Observation 3523a4aa-29ec-4a3d-b267-0d69fe87a2e9 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Artificial Intelligence for Food Innovation
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Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Za ¨ıd Harchaoui, and Yejin Choi
Reference 7
Source-reported events for the cited work
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Observation bbbcea99-6732-41cb-9229-69efa880d3e5 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Fred Fung, Huei-Shyong Wang, and Suresh Menon
Reference 8
Source-reported events for the cited work
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Observation 0f134718-38ac-4b3e-9310-123bbae77737 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
Reference 9
Source-reported events for the cited work
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Observation d82b539f-42e0-498a-b8cb-4ddd18c0e8c1 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models The Llama 3 Herd of Models
Reference 10
Source-reported events for the cited work
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Observation b9f0bbc0-c0eb-4a95-a547-1f47426c7780 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models ISBN 9798400714542
Reference 11
Source-reported events for the cited work
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Observation 6e5821f2-e75b-4b00-8bd3-177225f9566b · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations
Reference 12
Source-reported events for the cited work
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Observation 44e2844e-3698-47e5-b6e2-e1e3246e727c · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Suyog Joshi, Soumyajit Basu, Lipika Dey, and Partha Pratim Das
Reference 13
Source-reported events for the cited work
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Observation 8415bb81-8218-4586-939e-43fd2c93d097 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models SciSafeEval: A Comprehensive Benchmark for Safety Alignment of Large Language Models in Scientific Tasks
Reference 14
Source-reported events for the cited work
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Observation e4cd7655-86b5-4bd2-aa68-fe4aee4bb356 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life
Reference 15
Source-reported events for the cited work
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Observation 226f53af-b87c-4feb-b09d-03645da07d83 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges
Reference 16
Source-reported events for the cited work
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Observation 1ded42ea-fc73-4c2d-bc59-ae279d9eac74 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Dy- namic guided and domain applicable safeguards for enhanced security in large language models
Reference 17
Source-reported events for the cited work
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Observation 985d49bb-5099-4bfe-ba4e-e90fab9acbd3 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models CodeChameleon: Personalized Encryption Framework for Jailbreaking Large Language Models
Reference 18
Source-reported events for the cited work
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Observation 0ac92ca4-c4d8-4956-b5b3-a2c89d99d30b · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models doi: 10.3390/nu17223515
Reference 19
Source-reported events for the cited work
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Observation 2df80683-2c12-48ac-a0ef-de91aefd9509 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Safety alignment should be made more than just a few tokens deep
Reference 20
Source-reported events for the cited work
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Observation 85773433-26ff-4dda-9540-2e41d370cfea · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Qwen2.5 Technical Report
Reference 21
Source-reported events for the cited work
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Observation 55fc4bc5-a864-42b6-9a51-354b937030f3 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails
Reference 22
Source-reported events for the cited work
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Observation cb498c00-5ad1-4815-b158-a4d15dc9daaa · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models doi: 10.3390/healthcare11060887
Reference 23
Source-reported events for the cited work
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Observation 069554b5-3485-4685-9869-aa11d74fec1d · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models doi: 10.1145/3748239.3748242
Reference 24
Source-reported events for the cited work
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Observation 6863dc78-0078-4642-a53f-295b9c1073db · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models author Sharma, A
Reference 25
Source-reported events for the cited work
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Observation 5da9c509-66eb-4038-9916-930fdf5a9d66 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models What can large language models do for sustainable food?
Reference 26
Source-reported events for the cited work
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Observation 791868b8-4416-499c-8c40-c5005b3d8224 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Food and Drug Administration
Reference 27
Source-reported events for the cited work
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Observation 21a0681c-8444-4df5-a19e-154c3591aa31 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models fda.gov/food/fda-food-code/food-code-2022
Reference 28
Source-reported events for the cited work
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Observation 7fa78247-350d-45db-b66c-fcde9b73a2e5 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models PATeam at SemEval- 2025 task 9: LLM-augmented fusion for AI-driven food safety hazard detection
Reference 29
Source-reported events for the cited work
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Observation 242f391a-722b-4d3c-8e24-77db8dc4e70b · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models ISBN 979-8-89176-273-2
Reference 30
Source-reported events for the cited work
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Observation aff94550-37b0-4bdf-8fcb-7c74bfd3e047 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs
Reference 31
Source-reported events for the cited work
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Observation 9da0812d-d5d4-451a-a891-fa5064b67989 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment
Reference 32
Source-reported events for the cited work
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Observation e98b6ac1-1510-40ae-933e-ac21ce56c765 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Reasoning or reciting? exploring the capabilities and limitations of language models through counterfactual tasks
Reference 33
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Observation 68229108-751a-4222-869a-b49f4e954901 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Knowledge-Centric Hallucination Detection
Reference 34
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Observation db2b430d-9252-4c41-9a9e-1aec8c24ccda · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models 16 Preprint Nan Xu, Fei Wang, Ben Zhou, Bangzheng Li, Chaowei Xiao, and Muhao Chen
Reference 35
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Observation 106b793f-8b28-4eaf-9743-f856184ee255 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Qwen3 Technical Report
Reference 36
Source-reported events for the cited work
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Observation f23df412-cb53-4fac-a70d-79d3f1f360e9 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models net/forum?id=pn83r8V2sv
Reference 37
Source-reported events for the cited work
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Observation 512809fa-6d48-495b-98c8-306dc21bdfa8 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata
Reference 38
Source-reported events for the cited work
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Observation 77548c0f-f68b-4302-b493-eeeabb6d6ba5 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Qwen3Guard Technical Report
Reference 39
Source-reported events for the cited work
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Observation a4704ae7-3f2f-45ac-8b6a-5576628cf5d6 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Weak-to-strong jailbreaking on large language models
Reference 40
Source-reported events for the cited work
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Observation a96f3cba-ad2d-443c-b4ca-8e1731e1afd8 · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 451205d3-543a-414c-94fc-642c20862b9d · outbound
Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models Based on this categorization, the final Fleiss’ Kappa among the three human experts is 0.4684
Reference 42
Source-reported events for the cited work
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Observation 5e904aac-8ada-4084-b68c-0d6b102ff2e6 · inbound
Triaging Threats to Specialized Guardrails Cooking Up Risks: Benchmarking and Reducing Food Safety Risks in Large Language Models
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.