Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:58:23.582455Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 75 of 75 outbound references and 3 inbound Pith citation observations for arXiv:2505.11365.
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 2026-08-15T20:58:23.582455Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T14:22:59.871835Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T23:26:22.412806Z
75 of 75 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 68ece1d3-290a-4171-a3a9-252040877230 · outbound
Phare: A Safety Probe for Large Language Models GPT-4 Technical Report
Reference 1
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Observation f7dc12d5-3630-4c78-8826-9a560ed840cf · outbound
Phare: A Safety Probe for Large Language Models Zico Kolter, Matt Fredrikson, Yarin Gal, and Xander Davies
Reference 2
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Observation 27701c01-519e-4470-a8b8-712b10a30518 · outbound
Phare: A Safety Probe for Large Language Models Introducing the next generation of claude, 2024
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 37fdbe5b-af66-4104-896a-fb76efdacb38 · outbound
Phare: A Safety Probe for Large Language Models HalluLens: LLM Hallucination Benchmark
Reference 4
Source-reported events for the cited work
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Observation ca5faf7d-190d-476b-9078-abd312bfcd50 · outbound
Phare: A Safety Probe for Large Language Models Language models are few-shot learners
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dad83375-0087-497d-b9ee-f52da9973bda · outbound
Phare: A Safety Probe for Large Language Models A survey on evaluation of large language models
Reference 6
Source-reported events for the cited work
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Observation 37cff377-b37b-42a0-a9d5-b97631ce075f · outbound
Phare: A Safety Probe for Large Language Models Chatbot arena: An open platform for evaluating llms by human preference
Reference 7
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Observation b0d1fb07-752b-46ff-8bd3-3d48b3b5d87f · outbound
Phare: A Safety Probe for Large Language Models Bias and fairness in large language models: A survey
Reference 8
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Observation 1f2c6e74-2a86-40a1-9323-13fe34b7c108 · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 9
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Observation 81e9b029-5f89-48a9-8ce2-3b884f5ca959 · outbound
Phare: A Safety Probe for Large Language Models Gemini: A Family of Highly Capable Multimodal Models
Reference 10
Source-reported events for the cited work
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Observation d663f118-099c-497c-80c8-441ebf1cb1de · outbound
Phare: A Safety Probe for Large Language Models AILuminate: Introducing v1.0 of the AI Risk and Reliability Benchmark from MLCommons
Reference 11
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Observation 1f0bf93d-fa34-4734-83f0-af9dba254228 · outbound
Phare: A Safety Probe for Large Language Models A Survey on LLM-as-a-Judge
Reference 12
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Observation ec662841-01ab-46c4-bedc-ff6493c958d0 · outbound
Phare: A Safety Probe for Large Language Models Sociodemographic Bias in Language Models: A Survey and Forward Path
Reference 13
Source-reported events for the cited work
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Observation 342910a4-d7df-487f-b82c-98edeb9f7e95 · outbound
Phare: A Safety Probe for Large Language Models Toxigen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection
Reference 14
Source-reported events for the cited work
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Observation 418618c5-6c94-4cf6-b55d-3bee5051e91c · outbound
Phare: A Safety Probe for Large Language Models A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1c3a57c-86c1-43d6-9ad8-1b81aebc4bfb · outbound
Phare: A Safety Probe for Large Language Models Trustllm: Trustworthiness in large language models
Reference 16
Source-reported events for the cited work
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Observation 944afae6-dfa7-4b1f-aac2-df919d9b617f · outbound
Phare: A Safety Probe for Large Language Models Realharm: A collection of real-world language model application failures, 2025
Reference 17
Source-reported events for the cited work
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Observation f1578d80-c8b5-4542-8d34-d708abfa94c6 · outbound
Phare: A Safety Probe for Large Language Models Survey of hallucination in natural language generation
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8957c81-9360-4394-9cc4-b3b628e52dc8 · outbound
Phare: A Safety Probe for Large Language Models Mixtral of Experts
Reference 19
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d66e5ab9-0310-40c8-b55e-6c0234c2a3ac · outbound
Phare: A Safety Probe for Large Language Models Seed-bench: Benchmarking multimodal large language models
Reference 20
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7257b5b9-4503-45e1-8e13-4ad47fb0b72b · outbound
Phare: A Safety Probe for Large Language Models A Survey on Fairness in Large Language Models
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aef0beeb-d0b6-4e56-bc9a-aa0e8ae9a766 · outbound
Phare: A Safety Probe for Large Language Models Holistic Evaluation of Language Models
Reference 22
Source-reported events for the cited work
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Observation 21f32bcb-b2e1-4bb7-a0f0-3fc4fb99cecb · outbound
Phare: A Safety Probe for Large Language Models Truthfulqa: Measuring how models mimic human falsehoods
Reference 23
Source-reported events for the cited work
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Observation 53f8d2a7-1996-4362-bcff-25dab5fcc7a1 · outbound
Phare: A Safety Probe for Large Language Models DeepSeek-V3 Technical Report
Reference 24
Source-reported events for the cited work
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Observation 50f17492-cdcf-439c-ada4-cf7d13590d17 · outbound
Phare: A Safety Probe for Large Language Models Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c5e84771-302a-4f4b-800e-d69c9b848d5f · outbound
Phare: A Safety Probe for Large Language Models Evaluating and mitigating social bias for large language models in open-ended settings
Reference 26
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Observation 31715d1d-6d08-4bce-a9c4-51d10df64ec5 · outbound
Phare: A Safety Probe for Large Language Models HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Reference 27
Source-reported events for the cited work
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Observation 5f11291f-c7d4-42e9-a85c-5da84933e0ad · outbound
Phare: A Safety Probe for Large Language Models StereoSet: Measuring stereotypical bias in pretrained language models
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02dd2c62-950a-41e2-9224-2a3a65c7517a · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 29
Source-reported events for the cited work
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Observation 565fae21-9038-4836-9923-de71c26abddd · outbound
Phare: A Safety Probe for Large Language Models Do the rewards justify the means? measuring trade-offs between rewards and ethical behavior in the machiavelli benchmark
Reference 30
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Observation 7623e78d-56c7-4659-9056-57f27fac798d · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 31
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Observation 0cac9cd7-415d-4c4b-bcc1-3d438050dee6 · outbound
Phare: A Safety Probe for Large Language Models Discovering language model behaviors with model-written evaluations
Reference 32
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Observation 50a8468f-90f0-4452-9e96-1b1d8d93e372 · outbound
Phare: A Safety Probe for Large Language Models Gender bias in coreference resolution
Reference 33
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Observation 19a561b3-3cbf-4084-891e-117ef9fd4b1d · outbound
Phare: A Safety Probe for Large Language Models Winogrande: An adversarial winograd schema challenge at scale
Reference 34
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Observation 827eec0e-4481-409a-a1d1-49c78250da07 · outbound
Phare: A Safety Probe for Large Language Models Towards Understanding Sycophancy in Language Models
Reference 35
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Observation d5e3835e-54b8-479a-8e8a-e22b3ccd1756 · outbound
Phare: A Safety Probe for Large Language Models I’m sorry to hear that
Reference 36
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Observation 73f57fc7-8c2e-4a25-92a9-af9169e5a347 · outbound
Phare: A Safety Probe for Large Language Models Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Reference 37
Source-reported events for the cited work
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Observation 7e70ce44-f8a9-45d0-9e13-ecaf434d4f01 · outbound
Phare: A Safety Probe for Large Language Models CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
Reference 38
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Observation 6ef241dc-4c91-45b3-ba6a-cb77bef6c763 · outbound
Phare: A Safety Probe for Large Language Models Gemma: Open Models Based on Gemini Research and Technology
Reference 39
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Observation 01a51554-9a68-439a-bf7e-a6a74db97a02 · outbound
Phare: A Safety Probe for Large Language Models Gemma 2: Improving Open Language Models at a Practical Size
Reference 40
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Observation 44a99346-c754-46a1-84b1-f9f862814211 · outbound
Phare: A Safety Probe for Large Language Models FEVER: a large-scale dataset for fact extraction and VERification
Reference 41
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Observation 4f176b9b-25a5-408c-93b9-396250546100 · outbound
Phare: A Safety Probe for Large Language Models LLaMA: Open and Efficient Foundation Language Models
Reference 42
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Observation 1c9f65bc-bab6-4b89-a79c-e4934645389a · outbound
Phare: A Safety Probe for Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models
Reference 43
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Observation eb65cfea-d78f-4b13-8cf3-c682637454e6 · outbound
Phare: A Safety Probe for Large Language Models Attention is all you need
Reference 44
Source-reported events for the cited work
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Observation d3db9def-01cd-4792-bf47-2a938be442c0 · outbound
Phare: A Safety Probe for Large Language Models Measuring short-form factuality in large language models
Reference 45
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Observation 68e4e313-b78e-46bd-afcc-62d90a6680bd · outbound
Phare: A Safety Probe for Large Language Models Long-form factuality in large language models
Reference 46
Source-reported events for the cited work
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Observation 80b4ac63-d951-4e69-9590-9d3150fa9b2d · outbound
Phare: A Safety Probe for Large Language Models Grok 2 beta release, 2024
Reference 47
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Observation 6f0d0134-4f76-46b2-8587-da57fb675f85 · outbound
Phare: A Safety Probe for Large Language Models Qwen2.5 Technical Report
Reference 48
Source-reported events for the cited work
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Observation 52ceed21-98ff-4198-93f9-21c85934d5bb · outbound
Phare: A Safety Probe for Large Language Models Benchmarking large language models for news summarization
Reference 49
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Observation 0108029f-5638-4be8-a849-d89763214323 · outbound
Phare: A Safety Probe for Large Language Models Gender Bias in Coreference Resolution: Evaluation and Debiasing Methods
Reference 50
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Observation 316d5d6e-14df-4fdf-9a8e-3e4d76c7be0b · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 51
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Observation a86da833-5d31-404d-ace3-29fd2b4b9edc · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 52
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Observation 00e4d7e3-bd50-446a-b203-fca0246349e4 · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 53
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Observation dd182d6b-e759-4b45-a3ba-4dc87319b4e7 · outbound
Phare: A Safety Probe for Large Language Models Could it be true that {statement}
Reference 54
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Observation 444fe26d-af40-4e02-a79d-b9e8b2d3827e · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 55
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Observation c7d809ce-bb36-4d59-9f25-8c5251679799 · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 56
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Reference 57
Source-reported events for the cited work
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Observation 6cb35476-f782-43c1-8948-dea603db48b2 · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 58
Source-reported events for the cited work
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Observation 07e1e8a9-5386-4e34-8892-7a5accce1e50 · outbound
Phare: A Safety Probe for Large Language Models If any of these points is true even if partially or indirectly, the assistant is being helpful and raising awareness
Reference 59
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Observation 8851b0a2-fba0-4bfd-ad12-1db391245774 · outbound
Phare: A Safety Probe for Large Language Models harmful" to False if the assistant is being helpful and raising awareness according to the previous point. Otherwise, set
Reference 60
Source-reported events for the cited work
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Observation d41dac98-d1a2-4666-9da5-eabe25b45d80 · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 61
Source-reported events for the cited work
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Observation 022cd548-aa64-44c1-99e8-df70a726e3d5 · outbound
Phare: A Safety Probe for Large Language Models unknown". Clearly state your reasoning for each attribute. For example: {
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Observation 7d76e9a1-96da-49de-8289-7a358598b671 · outbound
Phare: A Safety Probe for Large Language Models unkown" otherwise. To perform this extraction, we used two models: GPT-4o-mini and Gemini 2.0 Flash, and set the attribute value to
Reference 63
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Observation f765780a-6854-4b68-a817-8387b85bd548 · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 64
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Phare: A Safety Probe for Large Language Models as mentioned in the article
Reference 65
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Reference 66
Source-reported events for the cited work
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Observation 0d11020d-1483-428c-8737-b450a80282a9 · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 67
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Reference 68
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Observation 3b679279-0a35-4b48-a4e7-05058fd019fd · outbound
Reference 69
Source-reported events for the cited work
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Observation a26af1a6-7ce4-4a9e-bb1d-d96da43f5274 · outbound
Phare: A Safety Probe for Large Language Models Unresolved cited work
Reference 70
Source-reported events for the cited work
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Observation ad4c7204-a560-4fc8-9f0b-78a66440d074 · outbound
Phare: A Safety Probe for Large Language Models You can be creative here, the conversation doesn’t need to be exclusively on topic, but it should be realistic
Reference 71
Source-reported events for the cited work
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Observation b942a2b6-723a-4b86-8769-12be8568b37b · outbound
Phare: A Safety Probe for Large Language Models Come up with something random
Reference 72
Source-reported events for the cited work
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Observation 54e358dd-ab87-493c-bc53-d8f8ebf39f39 · outbound
Phare: A Safety Probe for Large Language Models It should start with human and then alternate between the human and the AI
Reference 73
Source-reported events for the cited work
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Observation 9c592f7e-52dd-44bd-b1a0-b751cd81ea21 · outbound
Reference 74
Source-reported events for the cited work
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Observation 1daba3f5-7208-4e0d-858d-36d53dc6dbe1 · outbound
Phare: A Safety Probe for Large Language Models The ELO score reflects the human preferences for the models and is computed by comparing multiple answers from different models to a single question
Reference 75
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Observation c56154e1-437c-467d-84c5-6551c2ba6d50 · inbound
StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs Phare: A Safety Probe for Large Language Models
Reference 57
Source-reported events for the cited work
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Observation 54cb252b-82a6-4ecb-aa53-6de33bebd47b · inbound
StereoTales: A Multilingual Framework for Open-Ended Stereotype Discovery in LLMs Phare: A Safety Probe for Large Language Models
Reference 57
Source-reported events for the cited work
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Observation d0867b60-0991-4aa8-97fe-9f41fdbd871e · inbound
Do Gender Cues Affect LLM Value Trade-offs? Evidence from a Controlled Decision Benchmark Phare: A Safety Probe for Large Language Models
Reference 47
Source-reported events for the cited work
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