TRE: Training-Free Hallucination Detection for Diffusion Language Models | Paper Citation Record

Observation 86ee3806-39a2-4e4c-b67d-7fb981b1bb16 · outbound

This paper cites Step- unrolled denoising autoencoders for text generation.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Step- unrolled denoising autoencoders for text generation

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:14.912133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 685802b8-f73c-42bb-8f78-0ac6815ad460 · outbound

This paper cites Diffusion-lm improves controllable text generation.Advances in neural information processing systems, 35:4328–4343, 2022.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Diffusion-lm improves controllable text generation.Advances in neural information processing systems, 35:4328–4343, 2022

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:15.011255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5823357-1618-4b56-abce-f7be91e44728 · outbound

This paper cites Discrete diffusion modeling by estimating the ratios of the data distribution.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Discrete diffusion modeling by estimating the ratios of the data distribution

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:15.164951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e23e0351-d0d8-47a5-b6eb-ea43c639ee10 · outbound

This paper cites Accelerating diffusion llms via adaptive parallel decoding.arXiv preprint arXiv:2506.00413, 2025.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Accelerating diffusion llms via adaptive parallel decoding.arXiv preprint arXiv:2506.00413, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:15.213932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7678fef8-1938-42e0-8211-49997fd55ae5 · outbound

This paper cites Block diffusion: Interpolating between autoregressive and diffusion language models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Block diffusion: Interpolating between autoregressive and diffusion language models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:15.272609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 371ff03a-a30d-4b57-abce-0aa8e8db1486 · outbound

This paper cites Survey of hallucination in natural language generation.ACM computing surveys, 55(12):1–38, 2023.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Survey of hallucination in natural language generation.ACM computing surveys, 55(12):1–38, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:15.367090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93c746d6-e975-4a4e-ad29-0bb3380fe665 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 43(2):1– 55, 2025.

TRE: Training-Free Hallucination Detection for Diffusion Language Models A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 43(2):1– 55, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:15.473395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02f8e48c-44b1-4825-ad1a-1e860ef43d6a · outbound

This paper cites A survey of generalization of graph anomaly detection: From transfer learning to foundation models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models A survey of generalization of graph anomaly detection: From transfer learning to foundation models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:15.660948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eb2aad7-6d27-46f1-ba15-8f197ce9f279 · outbound

This paper cites Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Shifting attention to relevance: Towards the predictive uncertainty quantification of free-form large language models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:15.780975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f22f878-f075-4687-8975-ab122a872372 · outbound

This paper cites Dynhd: Hallucination detection for diffusion large language models via denoising dynamics deviation learning.arXiv preprint arXiv:2603.16459, 2026.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Dynhd: Hallucination detection for diffusion large language models via denoising dynamics deviation learning.arXiv preprint arXiv:2603.16459, 2026

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:15.939088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74a409fa-ff4d-4663-a954-7ecff46ef965 · outbound

This paper cites Tracedet: Hallucination detection from the decoding trace of diffusion large language models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Tracedet: Hallucination detection from the decoding trace of diffusion large language models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:16.068854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c90a93-a728-4594-8aa2-b78a02aea897 · outbound

This paper cites Tdgnet: Hallucination detection in diffusion language models via temporal dynamic graphs.arXiv preprint arXiv:2602.08048, 2026.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Tdgnet: Hallucination detection in diffusion language models via temporal dynamic graphs.arXiv preprint arXiv:2602.08048, 2026

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:16.218683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1558b1b5-0b0c-4598-b84e-e6fde5b9179d · outbound

This paper cites Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Selfcheckgpt: Zero-resource black-box hallucination detection for generative large language models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:16.396360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3d9b9f5-1015-45ae-948f-10849e413abb · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:16.547756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc026cde-c7a1-4048-8197-886f8f10f3d6 · outbound

This paper cites Simple and effective masked diffusion language models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Simple and effective masked diffusion language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:16.669224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30fb8618-42ad-4547-9870-c16929a6fa14 · outbound

This paper cites Large Language Diffusion Models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Large Language Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:16.740761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c23c7b37-0fb5-4209-9e55-1aab81323d08 · outbound

This paper cites Siren’s song in the ai ocean: A survey on hallucination in large language models.Computational Linguistics, 51(4):1373–1418, 2025.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Siren’s song in the ai ocean: A survey on hallucination in large language models.Computational Linguistics, 51(4):1373–1418, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:16.854483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f40e34fa-ddc3-47f4-89a6-95d3b3cb9d2c · outbound

This paper cites Enhancing uncertainty-based hallucination detection with stronger focus.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Enhancing uncertainty-based hallucination detection with stronger focus

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:16.993046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2182beb4-ad58-4cfe-bc73-bbdd05742b4e · outbound

This paper cites Uncertainty- aware graph neural networks: A multihop evidence fusion approach.IEEE Transactions on Neural Networks and Learning Systems, 2025.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Uncertainty- aware graph neural networks: A multihop evidence fusion approach.IEEE Transactions on Neural Networks and Learning Systems, 2025

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:17.110362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e31e13e7-3623-4ca1-ac73-485bc3e8faca · outbound

This paper cites Language Models (Mostly) Know What They Know.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Language Models (Mostly) Know What They Know

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:17.252495Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac5dbc50-aa02-4a73-b2fc-952b3ad62ff7 · outbound

This paper cites Semantic uncertainty: Linguistic invariances for uncer- tainty estimation in natural language generation.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Semantic uncertainty: Linguistic invariances for uncer- tainty estimation in natural language generation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:17.363647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef3c719d-65f3-435d-b52e-2cc08cd95411 · outbound

This paper cites Generating with confidence: Uncertainty quantification for black-box large language models.Transactions on Machine Learning Research, 2024.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Generating with confidence: Uncertainty quantification for black-box large language models.Transactions on Machine Learning Research, 2024

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:17.514432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2596a93-c163-4b9d-b59a-31bfc3fc1b05 · outbound

This paper cites Inside: Llms’ internal states retain the power of hallucination detection.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Inside: Llms’ internal states retain the power of hallucination detection

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:17.637247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e949589f-32f7-4899-abff-8395ab80b282 · outbound

This paper cites Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:17.782693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ab0850d-c5c4-40dd-8139-bcbe3bfe2337 · outbound

This paper cites Patchfu- sionmlp: A scalable multi-resolution mlp framework for time series prediction.Pattern Recognition, page 113263, 2026.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Patchfu- sionmlp: A scalable multi-resolution mlp framework for time series prediction.Pattern Recognition, page 113263, 2026

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:17.890236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 518ef4bd-0e06-4c17-bdfa-13580579bea8 · outbound

This paper cites The internal state of an llm knows when it’s lying.

TRE: Training-Free Hallucination Detection for Diffusion Language Models The internal state of an llm knows when it’s lying

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:17.955685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca0200fe-42ec-4ef8-a7aa-965133026ded · outbound

This paper cites Truthx: Alleviating hallucinations by editing large language models in truthful space.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Truthx: Alleviating hallucinations by editing large language models in truthful space

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:18.079778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 413ec26b-2d3f-4964-9221-2e9dd376ecfb · outbound

This paper cites Llm-check: Investigating detection of hallucinations in large language models.Advances in Neural Information Processing Systems, 37:34188–34216, 2024.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Llm-check: Investigating detection of hallucinations in large language models.Advances in Neural Information Processing Systems, 37:34188–34216, 2024

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:18.241609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6976efa9-3d3d-460a-bdef-77ef0513df69 · outbound

This paper cites Prompt-guided internal states for hallucination detection of large language models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Prompt-guided internal states for hallucination detection of large language models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:18.342878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c15e28af-c00f-4d77-a96f-b5eddaae001b · outbound

This paper cites Discovering latent knowledge in language models without supervision.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Discovering latent knowledge in language models without supervision

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:18.422996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17b9c423-f05a-4ec0-99e5-f94acdd3bd1c · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Representation Engineering: A Top-Down Approach to AI Transparency

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:18.533420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 446fc9d8-b2a2-45b8-805d-ef0b43bf789a · outbound

This paper cites Halueval: A large-scale hallucination evaluation benchmark for large language models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Halueval: A large-scale hallucination evaluation benchmark for large language models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:18.658455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3ae305c-d007-41d7-93c3-aef2f2e000e2 · outbound

This paper cites Factscore: Fine-grained atomic evaluation of factual precision in long form text generation.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Factscore: Fine-grained atomic evaluation of factual precision in long form text generation

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:18.734776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e73cfd4-83d4-4b78-b78a-acbbd5b2deee · outbound

This paper cites Faithdial: A faithful benchmark for information-seeking dialogue.Transactions of the Association for Computational Linguistics, 10:1473–1490, 2022.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Faithdial: A faithful benchmark for information-seeking dialogue.Transactions of the Association for Computational Linguistics, 10:1473–1490, 2022

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:18.882890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd93e418-3d27-4c4a-a433-d34cffa4ac34 · outbound

This paper cites Lost in diffusion: Uncovering hallucination patterns and failure modes in diffusion large language models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Lost in diffusion: Uncovering hallucination patterns and failure modes in diffusion large language models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:18.981245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4ed9ce7-7c2e-4e20-8af7-72c24bcbb0a9 · outbound

This paper cites Investigating selective prediction approaches across several tasks in iid, ood, and adversarial settings.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Investigating selective prediction approaches across several tasks in iid, ood, and adversarial settings

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:19.117994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1865bfe-29ef-42e2-a36a-c79faa29347f · outbound

This paper cites Structured denoising diffusion models in discrete state-spaces.Advances in neural information processing systems, 34:17981–17993, 2021.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Structured denoising diffusion models in discrete state-spaces.Advances in neural information processing systems, 34:17981–17993, 2021

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:19.274937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57b29263-21c0-49fe-b7fc-bab621c0a358 · outbound

This paper cites Argmax flows and multinomial diffusion: Learning categorical distributions.Advances in neural information processing systems, 34:12454–12465, 2021.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Argmax flows and multinomial diffusion: Learning categorical distributions.Advances in neural information processing systems, 34:12454–12465, 2021

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:19.361717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65646bf0-1dd4-4d29-a782-1cd99f1a2403 · outbound

This paper cites Language models are few-shot learners.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Language models are few-shot learners

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:19.468597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57a963f0-9afb-431a-ae9c-48bce3ddf3f6 · outbound

This paper cites Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Language models are unsupervised multitask learners.OpenAI blog, 1(8):9, 2019

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:19.549692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb6ae80d-a85d-4350-aec9-12a7185450bd · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:19.663784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b95d4b9-18ab-4a18-99bf-1957509430ea · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794, 2021

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:19.751312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 240014e2-8aa0-432e-9fdb-dd35181695e0 · outbound

This paper cites Understanding Diffusion Models: A Unified Perspective.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Understanding Diffusion Models: A Unified Perspective

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:19.826327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3f42019-1dd7-4d34-b48c-787d7416c383 · outbound

This paper cites Dream 7B: Diffusion Large Language Models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Dream 7B: Diffusion Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:19.991906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57737ec6-88fd-4860-9413-5c9df10f038c · outbound

This paper cites Hotpotqa: A dataset for diverse, explainable multi-hop question answering.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Hotpotqa: A dataset for diverse, explainable multi-hop question answering

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:20.130816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 724ec673-b441-407f-9326-fce6432bf778 · outbound

This paper cites Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:20.286507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27bbe246-7c12-4667-8ef1-0ea55433fedd · outbound

This paper cites On faithfulness and factuality in abstractive summarization.

TRE: Training-Free Hallucination Detection for Diffusion Language Models On faithfulness and factuality in abstractive summarization

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:20.365572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b14f0595-b8f2-47bc-94a0-13742a2217b2 · outbound

This paper cites Prentice hall Upper Saddle River, NJ, 2002.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Prentice hall Upper Saddle River, NJ, 2002

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:20.454554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f77817-f1aa-4a4e-8f71-0dcd9b80cfee · outbound

This paper cites Optimization and stabilization of trajectories for constrained dynamical systems.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Optimization and stabilization of trajectories for constrained dynamical systems

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:20.599179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 404be390-bc45-488d-bef4-78a8aef3ad2b · outbound

This paper cites Spin glass theory and beyond, 1988.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Spin glass theory and beyond, 1988

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:20.723346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef8b7158-0a68-4beb-ab71-55e0b418de00 · outbound

This paper cites Spin glasses: Experimental facts, theoretical concepts, and open questions.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Spin glasses: Experimental facts, theoretical concepts, and open questions

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:20.862122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 425d0329-8a0b-40cc-bea0-8d40db60cd30 · outbound

This paper cites Steer llm latents for hallucination detection.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Steer llm latents for hallucination detection

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:20.985894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3195268d-25bc-42e7-a677-84a5383a2e26 · outbound

This paper cites Out-of-distribution detection and selective generation for conditional language models.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Out-of-distribution detection and selective generation for conditional language models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:21.089352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f899b98d-d54f-476d-8fe0-c94c5717725d · outbound

This paper cites Uncertainty Estimation in Autoregressive Structured Prediction.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Uncertainty Estimation in Autoregressive Structured Prediction

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:21.197240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 681706ec-1748-4fc6-80ac-335583c4df5c · outbound

This paper cites Commonsenseqa: A question answering challenge targeting commonsense knowledge.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Commonsenseqa: A question answering challenge targeting commonsense knowledge

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:21.302161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccdb9fcb-5233-4f44-8e78-29c1169de696 · outbound

This paper cites Rethinking unsupervised time series anomaly detection: Dynamic attention based on route inverse-masking.Applied Soft Computing, page 113971, 2025.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Rethinking unsupervised time series anomaly detection: Dynamic attention based on route inverse-masking.Applied Soft Computing, page 113971, 2025

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:21.424315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8dce6fb7-0e34-4ee3-b112-9809209ec599 · outbound

This paper cites Correcting false alarms from unseen: Adapting graph anomaly detectors at test time.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Correcting false alarms from unseen: Adapting graph anomaly detectors at test time

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:21.536493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1590529e-5099-4a88-9e51-42a5d8e4c5d3 · outbound

This paper cites Influence-oriented Personalized Federated Learning.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Influence-oriented Personalized Federated Learning

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:21.642613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9ea8cbe-c9d8-44a3-b26a-bcebd46fda53 · outbound

This paper cites Treexformer: Extracting tabular feature-context information using tree-structured semantics.Information Processing & Management, 62(6):104291, 2025.

TRE: Training-Free Hallucination Detection for Diffusion Language Models Treexformer: Extracting tabular feature-context information using tree-structured semantics.Information Processing & Management, 62(6):104291, 2025

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:21.800200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a64bbaa-9fa5-4377-91b9-234d0b20c6d9 · outbound

This paper cites sail.” instead of “Merchant mariner.

TRE: Training-Free Hallucination Detection for Diffusion Language Models sail.” instead of “Merchant mariner

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-02T09:41:21.952544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers