Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations | Paper Citation Record

Observation a6aada62-a189-4e33-9549-1650ab9e2161 · outbound

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

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Language Models (Mostly) Know What They Know

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:37.089395Z

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Observation e13dca3d-a1ae-43c1-91f1-6988888025e7 · outbound

This paper cites Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Do LLMs Know about Hallucination? An Empirical Investigation of LLM's Hidden States

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:37.172321Z

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Observation 3dd6568f-91c2-4abf-8d10-fc541ea57efc · outbound

This paper cites Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Learning to Trust Your Feelings: Leveraging Self-awareness in LLMs for Hallucination Mitigation

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:37.308318Z

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Observation d2f0973d-73fa-4a17-a726-0dc30061b0c9 · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:37.525521Z

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Observation a484e901-dd42-48fa-8405-eb64d2c50129 · outbound

This paper cites Language models are unsupervised multitask learners,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Language models are unsupervised multitask learners,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:37.699908Z

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Observation 9f608241-1b84-4af8-9cac-5d993231fce7 · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Discovering Latent Knowledge in Language Models Without Supervision

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:37.791029Z

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Observation d4f06ad0-ba7b-4c6e-afea-e7733339c8f7 · outbound

This paper cites On calibration of modern neural networks,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations On calibration of modern neural networks,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:37.952312Z

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Observation f643f9c6-9c6d-4036-9cc5-12bd6ef203e0 · outbound

This paper cites How Reliable are LLMs as Knowledge Bases? Re-thinking Facutality and Consistency.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations How Reliable are LLMs as Knowledge Bases? Re-thinking Facutality and Consistency

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:38.140928Z

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Observation 58680221-8b03-4db3-ab3f-313cdab70981 · outbound

This paper cites Haloscope: Harnessing unlabeled llm generations for hallucination detection,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Haloscope: Harnessing unlabeled llm generations for hallucination detection,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:51.901223Z

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Observation f967f485-fd6b-4da7-8739-61b39282550b · outbound

This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:38.462960Z

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Observation 94983dc2-615d-4168-9ff3-066b1f2b1229 · outbound

This paper cites Steer LLM Latents for Hallucination Detection.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Steer LLM Latents for Hallucination Detection

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:38.605975Z

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Observation 1eba682c-aa9e-463a-a87c-0161c93c0337 · outbound

This paper cites Survey of hallucination in natural language generation,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Survey of hallucination in natural language generation,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:38.750103Z

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Observation 5d11901c-b8a7-4c1b-981d-f425526a4057 · outbound

This paper cites HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations HalluShift: Measuring Distribution Shifts towards Hallucination Detection in LLMs

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-07T11:23:48.912076Z

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Observation 59664ae5-ad43-4133-bc69-e0bac1c65dcd · outbound

This paper cites The Llama 3 Herd of Models.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations The Llama 3 Herd of Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:39.106911Z

Source-reported events for the cited work

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Observation 68e68298-f44e-4de9-a872-c8cc95c622ea · outbound

This paper cites Qwen2.5 Technical Report.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Qwen2.5 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:39.262262Z

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Observation fd8423b2-e271-4dfa-9113-d68c794c0860 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:39.383700Z

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Observation f6c06f6a-bf00-4fcc-b317-2e755258bfb9 · outbound

This paper cites Biases in large language models: origins, inventory, and discussion,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Biases in large language models: origins, inventory, and discussion,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:51.678807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cbedf981-c3f4-4d84-8606-fc357a804858 · outbound

This paper cites Do large language models know how much they know?.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Do large language models know how much they know?

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-07T11:23:48.612199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7ecf3284-8b16-4a89-a7d3-cca5ee1a24cc · outbound

This paper cites Self-evaluation improves selective generation in large language models,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Self-evaluation improves selective generation in large language models,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:51.467579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 456412ab-7e65-42a1-bd13-e3f0578b0bca · outbound

This paper cites Deep Information Propagation.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Deep Information Propagation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:40.067605Z

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Observation 45024b38-fe8e-4cd8-a652-cb0dbcefcca1 · outbound

This paper cites Universal Adversarial Triggers for Attacking and Analyzing NLP.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Universal Adversarial Triggers for Attacking and Analyzing NLP

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:40.132422Z

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Observation fc9e9816-7330-44af-afd3-e6dc70848119 · outbound

This paper cites Gradient-based Adversarial Attacks against Text Transformers.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Gradient-based Adversarial Attacks against Text Transformers

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:40.241768Z

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Observation d02c014f-a360-4515-8af1-387e1ea08fb2 · outbound

This paper cites Identifying and Controlling Important Neurons in Neural Machine Translation.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Identifying and Controlling Important Neurons in Neural Machine Translation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:40.335665Z

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Observation bb8e5ba2-d6cc-4628-a473-88fb6b030bb0 · outbound

This paper cites A primer in bertology: What we know about how bert works,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations A primer in bertology: What we know about how bert works,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:51.286439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d23424c2-3b8b-4c04-a2ac-188e09215dd7 · outbound

This paper cites How can we know when language models know? on the calibration of language models for question answering,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations How can we know when language models know? on the calibration of language models for question answering,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:40.537944Z

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Observation 23b8adce-b2fe-4285-b60f-32303e7e3a8f · outbound

This paper cites Reducing negative effects of the biases of language models in zero-shot setting,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Reducing negative effects of the biases of language models in zero-shot setting,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:51.097042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b20e8c74-299a-48a9-8e10-cdaf1cc310cb · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Understanding the difficulty of training deep feedforward neural networks,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:40.759509Z

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Observation b9817d44-5010-4322-bb1e-0f98bdb81c1f · outbound

This paper cites A simple framework for contrastive learning of visual representations,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations A simple framework for contrastive learning of visual representations,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:40.877532Z

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Observation 91a5eb89-37a5-4b44-acc6-78a113a3ced7 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations BERTScore: Evaluating Text Generation with BERT

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:40.979674Z

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Observation 7c708084-f4df-4e44-836a-33b4c085273b · outbound

This paper cites Momentum contrast for unsupervised visual representation learning,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Momentum contrast for unsupervised visual representation learning,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:41.075071Z

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Observation dfe58951-8192-4325-9fc8-c113fd7e8d53 · outbound

This paper cites Euclidean distance mapping,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Euclidean distance mapping,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:50.767449Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c9fad90e-4fa9-4782-ae4f-96fd697e93ff · outbound

This paper cites Analysis of euclidean distance and manhattan distance measure in face recognition,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Analysis of euclidean distance and manhattan distance measure in face recognition,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:50.523585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 04efed91-0e23-4278-a256-1be863806417 · outbound

This paper cites Coqa: A conversational question answering challenge,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Coqa: A conversational question answering challenge,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:50.299438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bf92c682-d26e-478b-a330-abb02999c550 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:41.587099Z

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Observation a0d47af5-ac14-4089-9e05-78ac4331b319 · outbound

This paper cites Tydi qa: A benchmark for information-seeking question answering in ty pologically di verse languages,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Tydi qa: A benchmark for information-seeking question answering in ty pologically di verse languages,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:50.106476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0fc7a139-0e5a-43f7-a1ab-60591432bb02 · outbound

This paper cites Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:41.997814Z

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Observation fbda5082-a18b-4181-9837-72c64ac84e84 · outbound

This paper cites Out-of-Distribution Detection and Selective Generation for Conditional Language Models.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Out-of-Distribution Detection and Selective Generation for Conditional Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:42.160385Z

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Observation 22c2ac12-2086-4f65-829c-0af928c81182 · outbound

This paper cites Inference-time intervention: Eliciting truthful answers from a language model,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Inference-time intervention: Eliciting truthful answers from a language model,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:49.969538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 24469ef4-053f-4a0a-9a67-9feaa557907b · outbound

This paper cites DeepSeek LLM: Scaling Open-Source Language Models with Longtermism.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:42.499906Z

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Observation 4208402c-ff05-4224-9fab-719a9c7202f4 · outbound

This paper cites Uncertainty Estimation in Autoregressive Structured Prediction.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Uncertainty Estimation in Autoregressive Structured Prediction

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:42.671641Z

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Observation 483bec7f-7589-4b4b-8cab-bc2c9fe91469 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:42.800652Z

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Observation c963c415-db47-4405-a559-cbd2b355aebd · outbound

This paper cites Teaching Models to Express Their Uncertainty in Words.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Teaching Models to Express Their Uncertainty in Words

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:42.958624Z

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Observation 4c2735aa-e2fe-4278-8322-8d9e183a0dbe · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations The Internal State of an LLM Knows When It's Lying

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:43.092590Z

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Observation ebb698d5-18de-4501-8efd-23991df54621 · outbound

This paper cites AlignScore: Evaluating Factual Consistency with a Unified Alignment Function.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations AlignScore: Evaluating Factual Consistency with a Unified Alignment Function

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:43.221847Z

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Observation 21bcdcba-292d-4976-9ebb-f2783fe920e5 · outbound

This paper cites On early detection of hallucinations in factual question answering,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations On early detection of hallucinations in factual question answering,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:49.821012Z

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Observation d31dde16-86d0-4681-a7f7-af4c48898683 · outbound

This paper cites Embedding and gradient say wrong: A white-box method for hallucination detection,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Embedding and gradient say wrong: A white-box method for hallucination detection,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:49.678116Z

Source-reported events for the cited work

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Observation cc69d0a9-6165-46c7-a44f-931163779e6d · outbound

This paper cites BLEURT: Learning Robust Metrics for Text Generation.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations BLEURT: Learning Robust Metrics for Text Generation

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:43.738463Z

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Observation 72752119-968d-445a-b31b-7c4807c0df0a · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Rouge: A package for automatic evaluation of summaries,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:43.896627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff1032a-dcdf-4b4c-80f4-7abc774b812e · outbound

This paper cites DeepSeek-V3 Technical Report.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations DeepSeek-V3 Technical Report

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:44.019560Z

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Observation f5ae61ee-bd36-4ce2-9ef0-a344ad03c88d · outbound

This paper cites Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:44.209036Z

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Observation f9288c02-e31b-447a-a72a-5e813e6491fe · outbound

This paper cites Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:44.373261Z

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Observation 3c13999c-22d8-42dc-8968-087a00fb4ab5 · outbound

This paper cites I-divergence geometry of probability distributions and minimization problems,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations I-divergence geometry of probability distributions and minimization problems,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:49.568560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4904a3a4-b406-4734-bb9b-915e9a22d8d3 · outbound

This paper cites Attention is all you need,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Attention is all you need,

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:44.604999Z

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Observation 3e46d6e6-dc15-4835-9537-65b0a40ce11d · outbound

This paper cites GPT-4 Technical Report.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations GPT-4 Technical Report

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:44.768814Z

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Observation c5bb57ae-eaa3-4475-8d62-b573b239cbbd · outbound

This paper cites A Survey on Hallucination in Large Vision-Language Models.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations A Survey on Hallucination in Large Vision-Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:44.873695Z

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Observation 4e0a679f-ee0f-46e3-8c92-8cd05a58a174 · outbound

This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:44.986161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83fc8e36-c515-4ea8-8b13-6fd684cbbffb · outbound

This paper cites Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:45.108804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5fe42bd1-73cf-404c-9d67-1919715eaac1 · outbound

This paper cites Visual prompt tuning,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Visual prompt tuning,

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:45.193691Z

Source-reported events for the cited work

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Observation a3f20e0a-5b5b-48f4-8da6-79bff4b2f160 · outbound

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

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Locating and editing factual associations in gpt,

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:45.336650Z

Source-reported events for the cited work

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Observation 07a64a04-b6b7-4c8e-9d83-fadbb5dd53f0 · outbound

This paper cites Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Rebuilding ROME : Resolving Model Collapse during Sequential Model Editing

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:45.468259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35372292-09de-4517-a573-9be3e3838505 · outbound

This paper cites Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Adversarial Representation Engineering: A General Model Editing Framework for Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:45.557329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46285b36-c596-4a1f-bac7-0bbd1f43205f · outbound

This paper cites Attack and defense techniques in large language models: A survey and new perspectives.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Attack and defense techniques in large language models: A survey and new perspectives

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:45.644623Z

Source-reported events for the cited work

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Observation 8e36142c-0ffc-4cdd-84cc-273cfcb4e4a5 · outbound

This paper cites Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Looking for a Needle in a Haystack: A Comprehensive Study of Hallucinations in Neural Machine Translation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:45.748571Z

Source-reported events for the cited work

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Observation 4e92d247-b511-49e5-8697-b48d91bde039 · outbound

This paper cites Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:45.835103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a06ee7cb-4200-46b7-8ef2-8ba54f67a433 · outbound

This paper cites Alleviating Hallucinations of Large Language Models through Induced Hallucinations.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Alleviating Hallucinations of Large Language Models through Induced Hallucinations

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:45.951936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b4a3b55-afce-4dd1-b135-ea38af91e08b · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:46.035605Z

Source-reported events for the cited work

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Observation 499cac6a-8f5e-49c6-8766-1c4e3ca6e5a4 · outbound

This paper cites Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Enhancing Uncertainty-Based Hallucination Detection with Stronger Focus

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:46.152571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f63e10c8-65af-448b-91b2-f936d0ba813d · outbound

This paper cites FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations FacTool: Factuality Detection in Generative AI -- A Tool Augmented Framework for Multi-Task and Multi-Domain Scenarios

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:46.256762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6e2147d-73ff-4580-8f69-bf70646ed4d0 · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:46.330716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9face940-a589-4fa0-9977-948c15f0fb97 · outbound

This paper cites Shifting attention to relevance: Towards the uncertainty estimation of large language models,.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Shifting attention to relevance: Towards the uncertainty estimation of large language models,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:23:49.280808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b57bde36-9f10-4b05-afbc-5ab6c812289a · outbound

This paper cites Do Language Models Know When They're Hallucinating References?.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Do Language Models Know When They're Hallucinating References?

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:46.552464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0948e69e-ba72-4427-803b-3d784c73f858 · outbound

This paper cites LM vs LM: Detecting Factual Errors via Cross Examination.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations LM vs LM: Detecting Factual Errors via Cross Examination

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:46.698941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd7a3d85-84cf-4bd9-9108-d6a711271719 · outbound

This paper cites Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:46.895068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f12a8b6b-719e-4ae1-96cc-9777a10f2fe7 · outbound

This paper cites Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:47.056892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d29a3725-0fb8-44f3-8296-d5af0829891b · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:47.326925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4835546-3ae7-4257-81a7-438e1fce90dc · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:47.399019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf273c16-e974-4c52-8d50-b417d4ebbcf9 · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:47.471962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2860fa1d-ef9a-4f8f-9252-3b355830d805 · outbound

This paper cites Sample-specific Masks for Visual Reprogramming-based Prompting.

Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Sample-specific Masks for Visual Reprogramming-based Prompting

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:47.566632Z

Source-reported events for the cited work

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