$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing | Paper Citation Record

Observation c4b3d9e5-0e28-4adf-bc87-735cee28cea3 · outbound

This paper cites Attention is all you need,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Attention is all you need,

Reference 1

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Observation fa59df0a-fce2-4d02-8490-194f7d5048eb · outbound

This paper cites GPT-4 Technical Report.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing GPT-4 Technical Report

Reference 2

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Observation c4a92f76-c2c2-4d38-a57f-d9d2dadb83af · outbound

This paper cites The Llama 3 Herd of Models.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing The Llama 3 Herd of Models

Reference 3

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Observation c707e47c-82d0-4298-a708-5183e42157b3 · outbound

This paper cites Qwen3 Technical Report.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Qwen3 Technical Report

Reference 4

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Observation f96d7e2f-922f-46a7-b1fa-c9650eaa7ea1 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Evaluating Large Language Models Trained on Code

Reference 5

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Observation cbe29160-a631-4b77-9f69-e0cf1cebab9d · outbound

This paper cites Competition-level code generation with alphacode,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Competition-level code generation with alphacode,

Reference 6

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Observation 4f7f0d7e-7dee-423b-9ede-2931452e6faf · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Training Verifiers to Solve Math Word Problems

Reference 7

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Observation 79f8ccbe-f301-4ab8-8fa0-c9f0769d96cf · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Chain-of-thought prompting elicits reasoning in large language models,

Reference 8

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Observation 1ed8758a-5ceb-488a-a8c7-2648bc9bfe7b · outbound

This paper cites Large language diffusion models,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Large language diffusion models,

Reference 9

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Observation 1c7f4de7-6368-481f-94ac-5f058bfe8d24 · outbound

This paper cites LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models

Reference 10

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Observation b3b7718d-8fd0-446f-9b08-73e71381b57f · outbound

This paper cites LLaDA2.0: Scaling Up Diffusion Language Models to 100B.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing LLaDA2.0: Scaling Up Diffusion Language Models to 100B

Reference 11

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Observation 821f8113-a3dd-4d60-834d-2a4763758a3b · outbound

This paper cites Mercury: Ultra-Fast Language Models Based on Diffusion.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Mercury: Ultra-Fast Language Models Based on Diffusion

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-06-29T22:03:59.830296Z

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Observation 2d5f2e4e-9e7f-4700-9113-38c519666781 · outbound

This paper cites Simple and effective masked diffusion language models,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Simple and effective masked diffusion language models,

Reference 13

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Observation ff568cf6-bc59-424b-8858-6dd7a234c8e8 · outbound

This paper cites Simplified and generalized masked diffusion for discrete data,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Simplified and generalized masked diffusion for discrete data,

Reference 14

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This paper cites Introducing mercury 2.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Introducing mercury 2

Reference 15

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Observation d6a2459c-3db8-4b3c-be6b-4f2f854518c9 · outbound

This paper cites Disrupting the first reported ai-orchestrated cyber espionage campaign.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Disrupting the first reported ai-orchestrated cyber espionage campaign

Reference 16

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Observation 6c85bb3b-d0af-4565-8e68-c1a74712dea2 · outbound

This paper cites A2d: Any-order, any-step safety alignment for diffusion language models,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing A2d: Any-order, any-step safety alignment for diffusion language models,

Reference 17

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Observation 222cb686-004f-4255-9af6-fb2257aaebf9 · outbound

This paper cites Diffuguard: How intrinsic safety is lost and found in diffusion large language models,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Diffuguard: How intrinsic safety is lost and found in diffusion large language models,

Reference 18

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Observation 71917975-4373-4408-bb9d-e8abd4d48841 · outbound

This paper cites The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections

Reference 19

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Observation 69cff78a-73b8-4223-b6cf-70bc7446a4a1 · outbound

This paper cites Wildguard: Open one-stop moderation tools for safety risks, jailbreaks, and refusals of llms,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Wildguard: Open one-stop moderation tools for safety risks, jailbreaks, and refusals of llms,

Reference 20

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Observation 4ab5d1d9-bdcb-4dab-8446-06510af96377 · outbound

This paper cites Detecting strategic deception with linear probes,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Detecting strategic deception with linear probes,

Reference 21

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This paper cites Simple probes can catch sleeper agents, 2024,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Simple probes can catch sleeper agents, 2024,

Reference 22

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Observation 8dc83a9d-5b53-45ac-8b15-08bab13cd5f2 · outbound

This paper cites Detecting high-stakes interactions with activation probes,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Detecting high-stakes interactions with activation probes,

Reference 23

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Observation 9b4966e2-93d0-4136-8e40-47b26c6b95eb · outbound

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$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 24

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Observation d826f66f-91a9-43c1-bd93-c860745488c3 · outbound

This paper cites ShieldGemma 2: Robust and Tractable Image Content Moderation.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing ShieldGemma 2: Robust and Tractable Image Content Moderation

Reference 25

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Observation dd9b4d09-eaa5-45b6-95be-c3ef727df14a · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Understanding intermediate layers using linear classifier probes

Reference 26

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Observation ff08a188-0467-4cd3-a182-3202abf7febf · outbound

This paper cites Locating and editing factual associations in gpt,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Locating and editing factual associations in gpt,

Reference 27

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Observation 87309dd3-47b8-4673-bbd3-43165e50579e · outbound

This paper cites Kramár János, Engels Joshua, Wang Zheng, Chughtai Bilal, Shah Rohin, Nanda Neel, Conmy Arthur.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Kramár János, Engels Joshua, Wang Zheng, Chughtai Bilal, Shah Rohin, Nanda Neel, Conmy Arthur

Reference 28

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Observation f3c81325-0ca6-4187-ba7c-5b552e1b63ac · outbound

This paper cites Time is a feature: Exploiting temporal dynamics in diffusion language models,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Time is a feature: Exploiting temporal dynamics in diffusion language models,

Reference 29

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$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Diffusion language model knows the answer before it decodes,

Reference 30

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$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Structured denoising diffusion models in discrete state-spaces,

Reference 31

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$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Argmax flows and multinomial diffusion: Learning categorical distributions,

Reference 32

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This paper cites Scaling up masked diffusion models on text,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Scaling up masked diffusion models on text,

Reference 33

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This paper cites Diffusion models: A comprehensive survey of methods and applications,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Diffusion models: A comprehensive survey of methods and applications,

Reference 34

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$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing 2026 , journal =

Reference 35

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Observation e662a3ba-5b18-48e2-8f8e-ca6651208293 · outbound

This paper cites AutoDAN: Generating stealthy jailbreak prompts on aligned large language models,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing AutoDAN: Generating stealthy jailbreak prompts on aligned large language models,

Reference 36

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$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing How johnny can persuade llms to jailbreak them: Rethinking persuasion to challenge ai safety by humanizing llms,

Reference 37

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This paper cites The Alignment Curse: Modality Alignment Supercharges Audio Attacks via Text Transfer.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing The Alignment Curse: Modality Alignment Supercharges Audio Attacks via Text Transfer

Reference 38

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Observation ff7ee886-a81f-4f2b-8cc0-e25167970f91 · outbound

This paper cites Using gpt-4 for content moderation,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Using gpt-4 for content moderation,

Reference 39

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$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing The linear representation hypothesis and the geometry of large language models,

Reference 40

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This paper cites Simple factuality probes detect hallucinations in long-form natural language generation,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Simple factuality probes detect hallucinations in long-form natural language generation,

Reference 41

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$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Toxicity detection for free,

Reference 42

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This paper cites Branchynet: Fast inference via early exiting from deep neural networks,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Branchynet: Fast inference via early exiting from deep neural networks,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-06-29T22:03:25.762772Z

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$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Designing and interpreting probes with control tasks,

Reference 44

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Observation 75c3eedf-7cdf-4fe2-9428-e5b246a7b6b9 · outbound

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$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Pareto probing: Trading off accuracy for complexity,

Reference 45

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Observation 4e268064-2f0b-49f3-ad31-3b629270e8c6 · outbound

This paper cites Cost-effective constitutional classifiers via representation re-use.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Cost-effective constitutional classifiers via representation re-use

Reference 46

Resolution: unresolved; no resolver link, observed 2026-06-29T22:03:25.762772Z

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Observation 5fbcac87-e5e6-4517-bd24-c156e0d37c6d · outbound

This paper cites Beyond linear probes: Dynamic safety monitoring for language models,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Beyond linear probes: Dynamic safety monitoring for language models,

Reference 47

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This paper cites Constitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks //.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Constitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks //

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:03:59.833541Z

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Observation acac264f-c9f0-4cd9-8908-8c2cd7942cee · outbound

This paper cites Probing classifiers: Promises, shortcomings, and advances,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Probing classifiers: Promises, shortcomings, and advances,

Reference 49

Resolution: unresolved; no resolver link, observed 2026-06-29T22:03:25.762772Z

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Observation 4a2140c6-4deb-4d75-a541-0a7e1e6edfef · outbound

This paper cites A non-linear structural probe,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing A non-linear structural probe,

Reference 50

Resolution: unresolved; no resolver link, observed 2026-06-29T22:03:25.762772Z

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Observation a6f90c1e-bccc-4b18-80ae-5c220080e0b2 · outbound

This paper cites Toxicchat: Unveiling hidden challenges of toxicity detection in real-world user-ai conversation,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Toxicchat: Unveiling hidden challenges of toxicity detection in real-world user-ai conversation,

Reference 51

Resolution: unresolved; no resolver link, observed 2026-06-29T22:03:25.762772Z

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This paper cites A Holistic Approach to Undesired Content Detection in the Real World.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing A Holistic Approach to Undesired Content Detection in the Real World

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:03:59.808267Z

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Observation fa49c98d-3073-470a-97c7-b71bad5db96f · outbound

This paper cites Truth as a trajectory: What internal representations reveal about large language model reasoning,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Truth as a trajectory: What internal representations reveal about large language model reasoning,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-06-29T22:03:25.762772Z

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Observation 7ff3f069-5375-4ca0-bcba-5183e8158244 · outbound

This paper cites LLaDA2.1 : Speeding up text diffusion via token editing.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing LLaDA2.1 : Speeding up text diffusion via token editing

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:03:59.813624Z

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This paper cites Obfuscated activations bypass LLM latent-space defenses,.

$D^2$-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing Obfuscated activations bypass LLM latent-space defenses,

Reference 55

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