Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SafetyBench: Evaluating the Safety of Large Language Models
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 58 inbound Pith citation observations for arXiv:2309.07045.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T12:30:35.326756Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
19
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 9af1f249-4f1a-4f1d-b322-b462cff38150 · inbound
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools cites this paper.
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools SafetyBench: Evaluating the Safety of Large Language Models
Reference 56
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:08:09.724948Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation fffc98aa-9840-491a-89b7-8920516259bb · inbound
Jailbreak Attacks and Defenses Against Large Language Models: A Survey cites this paper.
Jailbreak Attacks and Defenses Against Large Language Models: A Survey SafetyBench: Evaluating the Safety of Large Language Models
Reference 115
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T02:20:44.493758Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 484257d8-a543-48f8-8f52-60cdaa5fde61 · inbound
ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain cites this paper.
ChemSafetyBench: Benchmarking LLM Safety on Chemistry Domain SafetyBench: Evaluating the Safety of Large Language Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:13:30.612898Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5cf03c89-189d-4d19-9b85-cb257f81d139 · inbound
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models cites this paper.
Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models SafetyBench: Evaluating the Safety of Large Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:40:22.183979Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d48f5628-26f5-4b15-9151-28a563e9a88b · inbound
Usage Governance Advisor: From Intent to AI Governance cites this paper.
Usage Governance Advisor: From Intent to AI Governance SafetyBench: Evaluating the Safety of Large Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T00:05:28.217269Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 67a91d28-e450-48ff-8ae4-d393bde4d4db · inbound
SafeWorld: Geo-Diverse Safety Alignment cites this paper.
SafeWorld: Geo-Diverse Safety Alignment SafetyBench: Evaluating the Safety of Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T19:41:42.296751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 090df110-1039-4efd-a3e2-b1b391f763eb · inbound
Large Action Models: From Inception to Implementation cites this paper.
Large Action Models: From Inception to Implementation SafetyBench: Evaluating the Safety of Large Language Models
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:29:57.048566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8856b602-8ee2-4cb0-9932-312bbddc852d · inbound
Observing Micromotives and Macrobehavior of Large Language Models cites this paper.
Observing Micromotives and Macrobehavior of Large Language Models SafetyBench: Evaluating the Safety of Large Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:24:05.980853Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32945e92-6f28-441e-affa-60ddc0015473 · inbound
Unanswerability Evaluation for Retrieval Augmented Generation cites this paper.
Unanswerability Evaluation for Retrieval Augmented Generation SafetyBench: Evaluating the Safety of Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:17:45.755457Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ee2dd48-4fdd-42c4-8a65-8b70f6609029 · inbound
Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models cites this paper.
Chinese SafetyQA: A Safety Short-form Factuality Benchmark for Large Language Models SafetyBench: Evaluating the Safety of Large Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:04:52.285186Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a82aabb7-4b40-4daa-a556-e8e0d0903a6b · inbound
A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense cites this paper.
A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense SafetyBench: Evaluating the Safety of Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:53:20.710337Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4df0278-4455-45e0-9d3b-66eac63bc6c5 · inbound
Value Compass Benchmarks: A Platform for Fundamental and Validated Evaluation of LLMs Values cites this paper.
Value Compass Benchmarks: A Platform for Fundamental and Validated Evaluation of LLMs Values SafetyBench: Evaluating the Safety of Large Language Models
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:53:59.906558Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d2badddb-fd5d-4b8c-bf4b-474b0047ce56 · inbound
A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.
A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy SafetyBench: Evaluating the Safety of Large Language Models
Reference 243
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:05:12.809379Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 662bdd8f-9230-439a-8a93-9bda8a182b86 · inbound
The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility? cites this paper.
The Dual-use Dilemma in LLMs: Do Empowering Ethical Capacities Make a Degraded Utility? SafetyBench: Evaluating the Safety of Large Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:31:03.503934Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c31a27d-bbb8-49fb-8920-65d290d457a6 · inbound
Global Perspectives of AI Risks and Harms: Analyzing the Negative Impacts of AI Technologies as Prioritized by News Media cites this paper.
Global Perspectives of AI Risks and Harms: Analyzing the Negative Impacts of AI Technologies as Prioritized by News Media SafetyBench: Evaluating the Safety of Large Language Models
Reference 115
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:31:20.516102Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a44391cd-317e-447f-a0d8-44b23ac6a679 · inbound
Data-adaptive Safety Rules for Training Reward Models cites this paper.
Data-adaptive Safety Rules for Training Reward Models SafetyBench: Evaluating the Safety of Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:25:13.211691Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10b0be7e-f833-4089-a919-4ac79cdbfcff · inbound
Early External Safety Testing of OpenAI's o3-mini: Insights from the Pre-Deployment Evaluation cites this paper.
Early External Safety Testing of OpenAI's o3-mini: Insights from the Pre-Deployment Evaluation SafetyBench: Evaluating the Safety of Large Language Models
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:37:16.952819Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 144eaf94-db3e-4dbb-a7c2-81c034d99905 · inbound
o3-mini vs DeepSeek-R1: Which One is Safer? cites this paper.
o3-mini vs DeepSeek-R1: Which One is Safer? SafetyBench: Evaluating the Safety of Large Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T23:32:16.759645Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b353e2b-e070-4a16-860a-ec0b2ebac3a2 · inbound
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers cites this paper.
How Effective Is Constitutional AI in Small LLMs? A Study on DeepSeek-R1 and Its Peers SafetyBench: Evaluating the Safety of Large Language Models
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:12.395417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ae8ba6a1-a12d-43ae-8844-28b66c412ca0 · inbound
ELAB: Extensive LLM Alignment Benchmark in Persian Language cites this paper.
ELAB: Extensive LLM Alignment Benchmark in Persian Language SafetyBench: Evaluating the Safety of Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:30:35.326756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c51b3f1-abd1-40af-bdb8-059fd1d5938f · inbound
DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domain cites this paper.
DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domain SafetyBench: Evaluating the Safety of Large Language Models
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T12:04:24.413358Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dd57880a-7a84-4a34-9a16-6b4f19f005ab · inbound
Tinkering Against Scaling cites this paper.
Tinkering Against Scaling SafetyBench: Evaluating the Safety of Large Language Models
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:03:31.858045Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa7d71ed-2fc2-4077-9b08-806c3c3ef1b1 · inbound
Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers cites this paper.
Expressing stigma and inappropriate responses prevents LLMs from safely replacing mental health providers SafetyBench: Evaluating the Safety of Large Language Models
Reference 175
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:21:35.643591Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b0ddeb8c-676e-4f02-a3ba-96630d077b1b · inbound
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection cites this paper.
GUARD: Generation-time LLM Unlearning via Adaptive Restriction and Detection SafetyBench: Evaluating the Safety of Large Language Models
Reference 107
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:21:39.973804Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a444735e-47da-4991-9cee-16ece478ec49 · inbound
SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use cites this paper.
SweEval: Do LLMs Really Swear? A Safety Benchmark for Testing Limits for Enterprise Use SafetyBench: Evaluating the Safety of Large Language Models
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:52:31.148227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 61a96958-5215-45cd-a6be-9a719353b435 · inbound
Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models? cites this paper.
Language Matters: How Do Multilingual Input and Reasoning Paths Affect Large Reasoning Models? SafetyBench: Evaluating the Safety of Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:52:42.777127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fad597c3-b1dd-45f1-b0ff-93fac7ab0d79 · inbound
LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements cites this paper.
LLM-based HSE Compliance Assessment: Benchmark, Performance, and Advancements SafetyBench: Evaluating the Safety of Large Language Models
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:00:59.091799Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe0f0a71-571a-48fb-be9b-dc635c57f7cb · inbound
USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models cites this paper.
USB: A Comprehensive and Unified Safety Evaluation Benchmark for Multimodal Large Language Models SafetyBench: Evaluating the Safety of Large Language Models
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:15:16.805123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d2f4893-47b3-4137-af3c-f0aa5f4dec6e · inbound
Large Language Models Often Know When They Are Being Evaluated cites this paper.
Large Language Models Often Know When They Are Being Evaluated SafetyBench: Evaluating the Safety of Large Language Models
Reference 3
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T13:16:15.735454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8ab284a-3778-40f8-9bf3-8bd0b1e2834d · inbound
MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine cites this paper.
MTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine SafetyBench: Evaluating the Safety of Large Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:50:54.874110Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a58398f4-79b8-4b32-8d86-a01a50d3b514 · inbound
SafeCoT: Improving VLM Safety with Minimal Reasoning cites this paper.
SafeCoT: Improving VLM Safety with Minimal Reasoning SafetyBench: Evaluating the Safety of Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:19:02.714368Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5152cbc0-bd5b-4048-866a-a5f5ef1b9b59 · inbound
PL-Guard: Benchmarking Language Model Safety for Polish cites this paper.
PL-Guard: Benchmarking Language Model Safety for Polish SafetyBench: Evaluating the Safety of Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:49:54.958475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff373dd7-bf4a-417b-ab03-8b441f3d62af · inbound
Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks cites this paper.
Informing AI Risk Assessment with News Media: Analyzing National and Political Variation in the Coverage of AI Risks SafetyBench: Evaluating the Safety of Large Language Models
Reference 5
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-06T10:31:06.665914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99b6e058-53b0-43ab-ba9a-6c69bde88bcc · inbound
Observation of momentum dependent charge density wave gap in EuTe4 cites this paper.
Observation of momentum dependent charge density wave gap in EuTe4 SafetyBench: Evaluating the Safety of Large Language Models
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:45:17.057354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 20151091-1b09-439b-8963-3e7fdbb5a3cc · inbound
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models cites this paper.
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models SafetyBench: Evaluating the Safety of Large Language Models
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:50:08.558363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 13039f77-573b-488c-935f-c28a25313167 · inbound
Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models cites this paper.
Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models SafetyBench: Evaluating the Safety of Large Language Models
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:29:20.767922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b4b09e4-fb46-4bf9-9358-e27503e3e903 · inbound
Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm cites this paper.
Paladin: Defending LLM-enabled Phishing Emails with a New Trigger-Tag Paradigm SafetyBench: Evaluating the Safety of Large Language Models
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:33:25.711468Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d32f22f-ce66-49cd-b9fd-ac8d1e2ec432 · inbound
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models cites this paper.
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models SafetyBench: Evaluating the Safety of Large Language Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T19:55:56.607844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31ff1476-4f45-4a69-b5f3-fc965d7af2ae · inbound
Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting cites this paper.
Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting SafetyBench: Evaluating the Safety of Large Language Models
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T12:45:26.981751Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29ed8296-e9a6-4df2-a9b4-323305286cc8 · inbound
Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization cites this paper.
Safety Game: Inference-Time Alignment of Black-Box LLMs via Constrained Optimization SafetyBench: Evaluating the Safety of Large Language Models
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:40:58.482981Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a7f5c285-c784-4bbb-ace5-834a5f3a7e3e · inbound
Beyond Context: Large Language Models' Failure to Grasp Users' Intent cites this paper.
Beyond Context: Large Language Models' Failure to Grasp Users' Intent SafetyBench: Evaluating the Safety of Large Language Models
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:11:13.678082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f5fbc10e-70a4-445a-8b2a-2e2e99205d45 · inbound
Breakdowns in Conversational AI: Interactional Failures in Emotionally and Ethically Sensitive Contexts cites this paper.
Breakdowns in Conversational AI: Interactional Failures in Emotionally and Ethically Sensitive Contexts SafetyBench: Evaluating the Safety of Large Language Models
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T19:48:11.316619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c903e576-4032-44b3-b529-1bafc14e20cf · inbound
VoxSafeBench: Not Just What Is Said, but Who, How, and Where cites this paper.
VoxSafeBench: Not Just What Is Said, but Who, How, and Where SafetyBench: Evaluating the Safety of Large Language Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T10:24:22.098823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f1c6253d-ff1e-4731-a693-4590896ba80f · inbound
Benign Fine-Tuning Breaks Safety Alignment in Audio LLMs cites this paper.
Benign Fine-Tuning Breaks Safety Alignment in Audio LLMs SafetyBench: Evaluating the Safety of Large Language Models
Reference 29
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T08:02:24.878897Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d67dfdc2-8794-4a7b-a329-e7920a0585f6 · inbound
How Sensitive Are Safety Benchmarks to Judge Configuration Choices? cites this paper.
How Sensitive Are Safety Benchmarks to Judge Configuration Choices? SafetyBench: Evaluating the Safety of Large Language Models
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T21:56:35.407538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 210eaf0c-c35b-4cd5-bb8a-6d26961a24bd · inbound
When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels cites this paper.
When No Benchmark Exists: Validating Comparative LLM Safety Scoring Without Ground-Truth Labels SafetyBench: Evaluating the Safety of Large Language Models
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-08T21:39:24.707089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e61ae913-d454-4b05-90b8-92a50e6ce9fd · inbound
Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks cites this paper.
Navigating the Sea of LLM Evaluation: Investigating Bias in Toxicity Benchmarks SafetyBench: Evaluating the Safety of Large Language Models
Reference 34
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:31:23.839851Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d7668e7c-4541-4545-b656-62b918729385 · inbound
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety SafetyBench: Evaluating the Safety of Large Language Models
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T05:51:08.043818Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4d77745e-3327-4ef7-8c07-7c5138ffe310 · inbound
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety cites this paper.
Boiling the Frog: A Multi-Turn Benchmark for Agentic Safety SafetyBench: Evaluating the Safety of Large Language Models
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T06:06:42.916232Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2c26ebce-5e82-406e-aaa1-46c1469485b6 · inbound
Benchmarking Open-Source Safety Guard Models: A Comprehensive Evaluation cites this paper.
Benchmarking Open-Source Safety Guard Models: A Comprehensive Evaluation SafetyBench: Evaluating the Safety of Large Language Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T23:33:25.778345Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7859f42a-5e2b-46f0-acb9-e58f687c05b2 · inbound
Efficient Safety Benchmarking via Item Response Theory cites this paper.
Efficient Safety Benchmarking via Item Response Theory SafetyBench: Evaluating the Safety of Large Language Models
Reference 20
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T15:55:48.988875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 874e7ef1-95b4-4fd1-a4cd-b738bf512552 · inbound
Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety cites this paper.
Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety SafetyBench: Evaluating the Safety of Large Language Models
Reference 40
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T00:52:55.751302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4114ba8d-56ca-476e-bbb9-665ba29f2bbd · inbound
Two AI Metrics Diverged: Will it Make All the Difference? cites this paper.
Two AI Metrics Diverged: Will it Make All the Difference? SafetyBench: Evaluating the Safety of Large Language Models
Reference 47
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:36:56.167767Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 501a2773-fc1d-4157-ae95-cde76bae5975 · inbound
Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI cites this paper.
Unsafe at any AUC: Unlearned Lessons from Sociotechnical Disasters for Responsible AI SafetyBench: Evaluating the Safety of Large Language Models
Reference 176
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:22:11.309343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35546b27-3658-41db-ad14-ecb340c7aaee · inbound
What AI Red-Team Evaluations Can and Cannot Prove cites this paper.
What AI Red-Team Evaluations Can and Cannot Prove SafetyBench: Evaluating the Safety of Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T06:54:48.369854Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6acd021-14d3-4938-a9b6-830ddaa8c29f · inbound
AIR-BENCH Live: An Evolving Safety Benchmark for Foundation Models cites this paper.
AIR-BENCH Live: An Evolving Safety Benchmark for Foundation Models SafetyBench: Evaluating the Safety of Large Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T08:30:02.855362Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2b2a3d9a-93ff-40a9-b21e-f596346e3570 · inbound
Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges cites this paper.
Chain-of-Models: Cross-Model Auditing for Bias-Robust LLM Judges SafetyBench: Evaluating the Safety of Large Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:55:22.021201Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ace38749-87d3-437c-9f1f-b634cb471d62 · inbound
CockpitHAT: Dependency-Graph-Driven Hierarchical Attribution for Embodied Multi-Agent Cockpits cites this paper.
CockpitHAT: Dependency-Graph-Driven Hierarchical Attribution for Embodied Multi-Agent Cockpits SafetyBench: Evaluating the Safety of Large Language Models
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:09:53.296703Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.