Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? | Paper Citation Record

Observation 776a5451-44e4-4ae2-8654-4efb025812aa · outbound

This paper cites To believe or not to believe your llm: Iterative prompting for estimating epistemic uncertainty.Advances in Neural Information Processing Systems, 37:58077–58117, 2024.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? To believe or not to believe your llm: Iterative prompting for estimating epistemic uncertainty.Advances in Neural Information Processing Systems, 37:58077–58117, 2024

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:47.095516Z

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Observation 2a950ca0-f659-4c6f-8541-5b124ad55cd4 · outbound

This paper cites Can language models encode perceptual structure without grounding? a case study in color.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Can language models encode perceptual structure without grounding? a case study in color

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:46.944787Z

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Observation 1a7c1b3d-9e66-4151-9cf4-a5705bab59be · outbound

This paper cites Attnlrp: attention-aware layer-wise relevance propagation for transformers.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Attnlrp: attention-aware layer-wise relevance propagation for transformers

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:46.732012Z

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Observation e6993d55-27aa-4859-80e1-2de7313324aa · outbound

This paper cites Sanity checks for saliency maps.Advances in neural information processing systems, 31, 2018.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Sanity checks for saliency maps.Advances in neural information processing systems, 31, 2018

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:36.391050Z

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Observation 970b211a-0c5e-46f7-9436-375fc578097e · outbound

This paper cites Scaling monosemanticity: Extracting interpretable features from claude 3 sonnet.Trans- former Circuits Thread, 2024.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Scaling monosemanticity: Extracting interpretable features from claude 3 sonnet.Trans- former Circuits Thread, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:46.525329Z

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Observation 3e451366-b9dc-4ee5-94ab-51682ef5f869 · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Understanding intermediate layers using linear classifier probes

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:46.289528Z

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Observation b6214dee-f623-4474-a5f9-159a54ac67dc · outbound

This paper cites A Close Look at Decomposition-based XAI-Methods for Transformer Language Models.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? A Close Look at Decomposition-based XAI-Methods for Transformer Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:36.727841Z

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Observation eab26c3e-995d-4867-98c6-c7212315f926 · outbound

This paper cites On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation.PloS one, 10(7):e0130140, 2015.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation.PloS one, 10(7):e0130140, 2015

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:36.833288Z

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Observation d20d170f-2caf-44d2-ad43-7fc06bf0885a · outbound

This paper cites Probing classifiers: Promises, shortcomings, and advances.Com- putational Linguistics, 48(1):207–219, March 2022.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Probing classifiers: Promises, shortcomings, and advances.Com- putational Linguistics, 48(1):207–219, March 2022

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:36.933767Z

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Observation 540dda8b-c59e-4b8f-a9c4-dc370ec2ae86 · outbound

This paper cites Bender and Alexander Koller.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Bender and Alexander Koller

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:37.073274Z

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Observation 59dc70e8-c742-48b9-9ddc-1da3414e6b33 · outbound

This paper cites Springer Science & Business Media, 2011.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Springer Science & Business Media, 2011

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:46.110017Z

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Observation 6457c6f1-422d-47cc-a635-6ee2fd0c4c51 · outbound

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

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Discovering latent knowledge in language models without supervision

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:45.843612Z

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Observation 61636b24-abc2-4c79-af48-e280e9094879 · outbound

This paper cites An axiomatic assessment of entropy- and variance-based uncertainty quantification in regression,.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? An axiomatic assessment of entropy- and variance-based uncertainty quantification in regression,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:45.660815Z

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Observation 11245adf-6277-4f57-a754-bafa0874c99c · outbound

This paper cites (a) i am not a lawyer, but...: engaging legal experts towards responsible llm policies for legal advice.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? (a) i am not a lawyer, but...: engaging legal experts towards responsible llm policies for legal advice

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:45.445422Z

Source-reported events for the cited work

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Observation b46d1b5c-7176-4077-835f-5eef64903944 · outbound

This paper cites SaulLM-54b & saulLM-141b: Scaling up domain adaptation for the legal domain.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? SaulLM-54b & saulLM-141b: Scaling up domain adaptation for the legal domain

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:45.191539Z

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Observation 37ac2266-6c8c-4709-8a6a-4c9142356e1a · outbound

This paper cites Ensembles for uncertainty estimation: Benefits of prior functions and bootstrapping.Transactions on Machine Learning Research, 2023.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Ensembles for uncertainty estimation: Benefits of prior functions and bootstrapping.Transactions on Machine Learning Research, 2023

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:44.949008Z

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Observation dddb928f-7e25-45d0-9a9b-c09294e28389 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:38.106917Z

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Observation 8d5e884a-de46-49ed-a5bf-62fb6d98ea32 · outbound

This paper cites A mathematical framework for transformer circuits.Transformer Circuits Thread, 1(1):12, 2021.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? A mathematical framework for transformer circuits.Transformer Circuits Thread, 1(1):12, 2021

Reference 18

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Observation 8727ebb5-6c56-4419-8120-8013500a0a72 · outbound

This paper cites Not all language model features are one-dimensionally linear.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Not all language model features are one-dimensionally linear

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:38.285952Z

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Observation 8abcd563-b17d-4fef-8526-d71e633a6997 · outbound

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

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024

Reference 20

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This paper cites Language models represent space and time.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Language models represent space and time

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:44.740070Z

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Observation cc64857c-b9ec-4298-81c9-7faa7ddafc71 · outbound

This paper cites Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:38.498701Z

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Observation ec7ee6a9-6254-49ff-b78f-6f4cd233f3fe · outbound

This paper cites Survey of hallucination in natural language generation.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Survey of hallucination in natural language generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:38.573252Z

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This paper cites Johnson, Daniel Tarlow, David Duvenaud, and Chris J.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Johnson, Daniel Tarlow, David Duvenaud, and Chris J

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:44.524964Z

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Observation 28640a11-b0e5-437d-b6b0-55cfb57bf895 · outbound

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

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Language Models (Mostly) Know What They Know

Reference 25

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Observation f2d2bce7-193c-4083-9e50-d1689542e65c · outbound

This paper cites Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav).

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Interpretability beyond feature attribution: Quantitative testing with concept activation vectors (tcav)

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:38.832390Z

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Observation 7e06e4c5-3b74-4eca-89de-d4eea2365f1b · outbound

This paper cites Concept bottleneck models.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Concept bottleneck models

Reference 27

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Observation bbb7c75d-c8d0-40c5-b921-9c0bf3c15f29 · outbound

This paper cites Semantic entropy probes: Robust and cheap hallucination detection in LLMs, 2025.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Semantic entropy probes: Robust and cheap hallucination detection in LLMs, 2025

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:44.269727Z

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Observation 702a47a9-f95f-4a88-8c8a-88329874c9be · outbound

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

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Semantic uncertainty: Linguistic invariances for uncertainty estimation in natural language generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:39.083010Z

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Observation 95612946-7291-44a5-a52d-e9b31dad6802 · outbound

This paper cites Emergent world representations: Exploring a sequence model trained on a synthetic task.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Emergent world representations: Exploring a sequence model trained on a synthetic task

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:44.063508Z

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Observation c7fb2201-d286-4191-906b-065f1b0dd637 · outbound

This paper cites Sparsing Law: Towards Large Language Models with Greater Activation Sparsity.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Sparsing Law: Towards Large Language Models with Greater Activation Sparsity

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:39.281866Z

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This paper cites On faithfulness and factuality in abstractive summarization.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? On faithfulness and factuality in abstractive summarization

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:39.396195Z

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Observation a070a926-354a-4b28-b660-0fcae1424a67 · outbound

This paper cites Linguistic regularities in continuous space word representations.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Linguistic regularities in continuous space word representations

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:39.469735Z

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Observation 2037fb71-7288-4b46-8c94-d500de43168c · outbound

This paper cites Linguistic regularities in continuous space word representations.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Linguistic regularities in continuous space word representations

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:43.835486Z

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Observation 953eab1a-42be-46d1-a908-ff4ddc0a628b · outbound

This paper cites Robustly identifying concepts introduced during chat fine-tuning using crosscoders.arXiv preprint arXiv:2504.02922, 2025.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Robustly identifying concepts introduced during chat fine-tuning using crosscoders.arXiv preprint arXiv:2504.02922, 2025

Reference 35

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This paper cites Progress mea- sures for grokking via mechanistic interpretability.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Progress mea- sures for grokking via mechanistic interpretability

Reference 36

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Observation e1ea36eb-be92-4efa-a8ef-09dded4bea9e · outbound

This paper cites Emergent linear representations in world models of self-supervised sequence models.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Emergent linear representations in world models of self-supervised sequence models

Reference 37

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Observation c5b594c0-a133-4369-9f3b-e5aa7973e774 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Generative agents: Interactive simulacra of human behavior

Reference 38

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Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Unresolved cited work

Reference 39

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Observation 8fc76a36-14d2-4ed2-a558-91df6a2b4aff · outbound

This paper cites Llm-based agentic systems in medicine and healthcare.Nature Machine Intelligence, 6(12):1418–1420, 2024.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Llm-based agentic systems in medicine and healthcare.Nature Machine Intelligence, 6(12):1418–1420, 2024

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:43.240775Z

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Observation 76c882d7-ae74-4dd4-869f-546a0267d491 · outbound

This paper cites Mapping language models to grounded conceptual spaces.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Mapping language models to grounded conceptual spaces

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:43.552520Z

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Observation f2ab0b8c-e0ba-4535-9402-dc1449b64c2b · outbound

This paper cites Rethinking Interpretability in the Era of Large Language Models.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Rethinking Interpretability in the Era of Large Language Models

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This paper cites Ash, and Dipendra Misra.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Ash, and Dipendra Misra

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f857dd80-fe80-4664-a026-883dcf594ba4 · outbound

This paper cites Large language models in medicine.Nature medicine, 29(8):1930–1940, 2023.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Large language models in medicine.Nature medicine, 29(8):1930–1940, 2023

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:40.670184Z

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Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Unresolved cited work

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:40.591387Z

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Observation f5112745-72a0-4f80-8f3f-14b18dde2465 · outbound

This paper cites V oyager: An open-ended embodied agent with large language models.Transactions on Machine Learning Research, 2024.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? V oyager: An open-ended embodied agent with large language models.Transactions on Machine Learning Research, 2024

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:40.915044Z

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Observation 0f888702-7252-4f35-a5e2-8c0e124e6f56 · outbound

This paper cites Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:42.711082Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45f901ab-e0f0-40f1-a254-a9d561f216d8 · outbound

This paper cites Gaussian process probes (gpp) for uncertainty-aware probing.Advances in neural information processing systems, 36:63573–63594, 2023.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Gaussian process probes (gpp) for uncertainty-aware probing.Advances in neural information processing systems, 36:63573–63594, 2023

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:42.516123Z

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Observation 8ca75642-c58f-42a0-9724-cf64f627f6e6 · outbound

This paper cites Gradient based Feature Attribution in Explainable AI: A Technical Review.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Gradient based Feature Attribution in Explainable AI: A Technical Review

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Observation 9c66941c-3c7b-49ad-ab23-64c736ac1fd9 · outbound

This paper cites Qwen2.5 Technical Report.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Qwen2.5 Technical Report

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

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Chain-of-thought prompting elicits reasoning in large language models

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Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:41.273417Z

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Observation f847ee44-1683-4dac-9514-41288bf34cdf · outbound

This paper cites On completeness-aware concept-based explanations in deep neural networks.Advances in neural information processing systems, 33:20554–20565, 2020.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? On completeness-aware concept-based explanations in deep neural networks.Advances in neural information processing systems, 33:20554–20565, 2020

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:33:42.244842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b1b00631-c8b3-45df-be7f-c980e6b689d5 · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822, 2023.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822, 2023

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:41.478031Z

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Observation c2c528df-853a-4a67-ac69-48310603df06 · outbound

This paper cites Cleopatra.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? Cleopatra

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:41.680464Z

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Unavailable: canonical work link unavailable.

Observation c87b6c2a-04bd-4712-a3df-14470c84fc04 · outbound

This paper cites An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression.

Response Uncertainty and Probe Modeling: Two Sides of the Same Coin in LLM Interpretability? An Axiomatic Assessment of Entropy- and Variance-based Uncertainty Quantification in Regression

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:37.760163Z

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Unavailable: canonical work link unavailable.

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