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Paper Citation Record · LEDGER

The Computational Basis of Confidence in Large Language Models

As of 6 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2607.12447.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.12447 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T06:37:45.486491Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

66 of 66 outbound references displayed

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External citation measurements

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Outbound references

Observation 59ef7b3e-3560-4316-b78c-59b2eac8f62f · outbound

This paper cites Nature , volume=.

The Computational Basis of Confidence in Large Language Models Nature , volume=

Reference 1

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Observation 0f1c8d31-7d72-4121-a202-88ebdb49d727 · outbound

This paper cites Neuron , volume=.

The Computational Basis of Confidence in Large Language Models Neuron , volume=

Reference 2

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This paper cites Neural Computation , volume=.

The Computational Basis of Confidence in Large Language Models Neural Computation , volume=

Reference 3

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The Computational Basis of Confidence in Large Language Models , author=

Reference 4

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Observation a6cf52ab-dcad-4541-b110-cb702b962b0d · outbound

This paper cites PLoS computational biology , volume=.

The Computational Basis of Confidence in Large Language Models PLoS computational biology , volume=

Reference 5

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Observation 90b41701-e4d4-43d5-a674-5784b6617d4c · outbound

This paper cites Lawrence and Girshick, Ross , title =.

The Computational Basis of Confidence in Large Language Models Lawrence and Girshick, Ross , title =

Reference 6

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Observation 98f1e473-ae9b-4673-89ca-7236a8042990 · outbound

This paper cites How do LLMs Compute Verbal Confidence.

The Computational Basis of Confidence in Large Language Models How do LLMs Compute Verbal Confidence

Reference 7

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Observation 59879721-350d-4305-98b2-42afc774b9b3 · outbound

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

The Computational Basis of Confidence in Large Language Models The Internal State of an LLM Knows When It's Lying

Reference 8

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Observation 547fc101-c4b3-4f26-bbf8-91988a0d3e48 · outbound

This paper cites Gemma 3 Technical Report.

The Computational Basis of Confidence in Large Language Models Gemma 3 Technical Report

Reference 9

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This paper cites Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=.

The Computational Basis of Confidence in Large Language Models Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies , pages=

Reference 10

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This paper cites Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=.

The Computational Basis of Confidence in Large Language Models Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 11

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This paper cites Advances in Neural Information Processing Systems , volume=.

The Computational Basis of Confidence in Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 12

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Observation e0d54499-1682-4ac0-92b3-a092556fbc40 · outbound

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

The Computational Basis of Confidence in Large Language Models Discovering Latent Knowledge in Language Models Without Supervision

Reference 13

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Observation 9a7044ba-448d-4965-bc28-86b9ca18a658 · outbound

This paper cites arXiv preprint arXiv:2501.19306 , year=.

The Computational Basis of Confidence in Large Language Models arXiv preprint arXiv:2501.19306 , year=

Reference 14

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The Computational Basis of Confidence in Large Language Models , author=

Reference 15

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This paper cites A Survey of Confidence Estimation and Calibration in Large Language Models.

The Computational Basis of Confidence in Large Language Models A Survey of Confidence Estimation and Calibration in Large Language Models

Reference 16

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This paper cites How to use and interpret activation patching.

The Computational Basis of Confidence in Large Language Models How to use and interpret activation patching

Reference 17

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The Computational Basis of Confidence in Large Language Models International Conference on Learning Representations , year=

Reference 18

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

The Computational Basis of Confidence in Large Language Models TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 19

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

The Computational Basis of Confidence in Large Language Models Language Models (Mostly) Know What They Know

Reference 20

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Observation 4c8c9fb3-fd16-4eb1-bbcd-3ba72a8d4c71 · outbound

This paper cites Transactions of the Association for Computational Linguistics , volume=.

The Computational Basis of Confidence in Large Language Models Transactions of the Association for Computational Linguistics , volume=

Reference 21

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The Computational Basis of Confidence in Large Language Models Nature , volume=

Reference 22

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The Computational Basis of Confidence in Large Language Models Philosophical Transactions of the Royal Society B: Biological Sciences , volume=

Reference 23

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The Computational Basis of Confidence in Large Language Models science , volume=

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The Computational Basis of Confidence in Large Language Models Advances in Neural Information Processing Systems , volume=

Reference 25

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Observation 4626da9d-71e1-4a3b-be70-11ddcda934fb · outbound

This paper cites Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models.

The Computational Basis of Confidence in Large Language Models Confidence Matters: Revisiting Intrinsic Self-Correction Capabilities of Large Language Models

Reference 26

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The Computational Basis of Confidence in Large Language Models Large Language Models have Intrinsic Self-Correction Ability

Reference 27

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The Computational Basis of Confidence in Large Language Models arXiv preprint arXiv:2510.04013 , year=

Reference 28

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The Computational Basis of Confidence in Large Language Models Advances in neural information processing systems , volume=

Reference 29

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The Computational Basis of Confidence in Large Language Models Advances in neural information processing systems , volume=

Reference 30

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The Computational Basis of Confidence in Large Language Models LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations

Reference 31

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The Computational Basis of Confidence in Large Language Models Nature neuroscience , volume=

Reference 32

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The Computational Basis of Confidence in Large Language Models Nature , volume=

Reference 33

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The Computational Basis of Confidence in Large Language Models Nature Machine Intelligence , volume=

Reference 34

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

The Computational Basis of Confidence in Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 35

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The Computational Basis of Confidence in Large Language Models ICLR , year=

Reference 36

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The Computational Basis of Confidence in Large Language Models Findings of the Association for Computational Linguistics: EMNLP 2023 , pages=

Reference 37

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The Computational Basis of Confidence in Large Language Models Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

Reference 38

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The Computational Basis of Confidence in Large Language Models Psychological Review , volume=

Reference 39

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Observation b947066b-83ec-4842-b599-95f387ec61f0 · outbound

This paper cites arXiv preprint arXiv:2505.14489 , year=.

The Computational Basis of Confidence in Large Language Models arXiv preprint arXiv:2505.14489 , year=

Reference 40

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source=arxiv_source observed=2026-08-02T06:37:42.430505Z digest=sha256:70bbfb55b0ef5c564a42dd846f6459a1ea12718b89e86a75e7eb48e057aef9bc

Observation c81fb277-c577-4736-9afe-32b97afde5f4 · outbound

This paper cites Towards Best Practices of Activation Patching in Language Models: Metrics and Methods.

The Computational Basis of Confidence in Large Language Models Towards Best Practices of Activation Patching in Language Models: Metrics and Methods

Reference 41

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source=arxiv_source observed=2026-08-02T06:37:42.576901Z digest=sha256:d33c68cee7afe9f2fc0ad7f48bfa5ee4c694a799ca9f39e30f63cbed24e427b9

Observation 88dc8f9b-cc78-4cb2-8c8a-64df351df384 · outbound

This paper cites arXiv preprint arXiv:2510.20487 , year=.

The Computational Basis of Confidence in Large Language Models arXiv preprint arXiv:2510.20487 , year=

Reference 42

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source=arxiv_source observed=2026-08-02T06:37:42.692015Z digest=sha256:32722ba2c5a1338f05936227d2f64e811f3ba4f144c3374874566871583842d6

Observation ea55de9d-f7f8-4777-8e9c-c92b5d2b9ab2 · outbound

This paper cites Steering Llama 2 via Contrastive Activation Addition.

The Computational Basis of Confidence in Large Language Models Steering Llama 2 via Contrastive Activation Addition

Reference 43

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no resolver link, observed 2026-08-02T06:37:42.781228Z

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source=arxiv_source observed=2026-08-02T06:37:42.781228Z digest=sha256:16ee7c8a0b3591649f975c0a37c335b73b04f688d29682678efa53a1d15f91ce

Observation bd32edc9-720c-475e-b6ff-79705dad46aa · outbound

This paper cites Improving Instruction-Following in Language Models through Activation Steering.

The Computational Basis of Confidence in Large Language Models Improving Instruction-Following in Language Models through Activation Steering

Reference 44

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source=arxiv_source observed=2026-08-02T06:37:42.924059Z digest=sha256:84cc197a7a998934fa6239937f5b3c913f49553050a693bc7b4135ae0a3a7813

Observation cf985718-09d2-467d-814d-25fafb12f3e4 · outbound

This paper cites Steering Language Models With Activation Engineering.

The Computational Basis of Confidence in Large Language Models Steering Language Models With Activation Engineering

Reference 45

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source=arxiv_source observed=2026-08-02T06:37:43.069243Z digest=sha256:e9982a07e90e88ba75107a78925aa4582d0fefd8c107efc5f86b45d8b2507acb

Observation 60b3868d-6486-4b1e-904b-f17458cb1d46 · outbound

This paper cites Base Models Know How to Reason, Thinking Models Learn When.

The Computational Basis of Confidence in Large Language Models Base Models Know How to Reason, Thinking Models Learn When

Reference 46

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source=arxiv_source observed=2026-08-02T06:37:43.179908Z digest=sha256:371652c386507400f2500e7e4307c1247f990febb4a731ce8a802f988cb3dfde

Observation aac42c7e-00c9-4906-aa3b-a5387a0ac85c · outbound

This paper cites Know When You're Wrong: Aligning Confidence with Correctness for.

The Computational Basis of Confidence in Large Language Models Know When You're Wrong: Aligning Confidence with Correctness for

Reference 47

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no resolver link, observed 2026-08-02T06:37:43.293174Z

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source=arxiv_source observed=2026-08-02T06:37:43.293174Z digest=sha256:3f26a4c55fe44d34a49cac30ecdddf46dfa3376f64cff4d771bf56f43e717554

Observation d726ee46-1e5b-4bf7-b9b2-5fd91d81de3f · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

The Computational Basis of Confidence in Large Language Models Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 48

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source=arxiv_source observed=2026-08-02T06:37:43.411416Z digest=sha256:ce4512375c01f2686726f4a5f46bab6abc9239fa00600f8dca17b86ba48f4340

Observation 413a3d04-7f24-4c9c-9445-e55c641eefc0 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

The Computational Basis of Confidence in Large Language Models Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 49

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source=arxiv_source observed=2026-08-02T06:37:43.522655Z digest=sha256:c9dc61689383822de91fb61464ffa2dc631a064468e7616b0d5fdf5ab8dafdcd

Observation 5fcee475-1ba2-4f55-a165-96ff378f1699 · outbound

This paper cites Nature Reviews Neuroscience , volume=.

The Computational Basis of Confidence in Large Language Models Nature Reviews Neuroscience , volume=

Reference 50

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source=arxiv_source observed=2026-08-02T06:37:43.608286Z digest=sha256:045ccb7fd241393bc856935d71fd6628cbc89d631998b5f73cfdb56fb174ebeb

Observation 8030cda2-140d-43da-91f2-a5b9a63d8ef5 · outbound

This paper cites arXiv preprint arXiv:2510.27328 , year=.

The Computational Basis of Confidence in Large Language Models arXiv preprint arXiv:2510.27328 , year=

Reference 51

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source=arxiv_source observed=2026-08-02T06:37:43.692955Z digest=sha256:b833f9823543000f20282953f4219a0b73a27b7fc269390428299d3311e43769

Observation 2f987154-877f-44e5-a9eb-b6e2fd8e3287 · outbound

This paper cites Reasoning-Finetuning Repurposes Latent Representations in Base Models.

The Computational Basis of Confidence in Large Language Models Reasoning-Finetuning Repurposes Latent Representations in Base Models

Reference 52

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no resolver link, observed 2026-08-02T06:37:43.829079Z

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source=arxiv_source observed=2026-08-02T06:37:43.829079Z digest=sha256:0a71b2429ecec2067c9c7df389581f7613ff1d149b67698345b9a4c4b39af6b9

Observation 0d39ebd0-86d4-4254-b20d-827500dbd67e · outbound

This paper cites Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs.

The Computational Basis of Confidence in Large Language Models Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs

Reference 53

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no resolver link, observed 2026-08-02T06:37:43.913292Z

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source=arxiv_source observed=2026-08-02T06:37:43.913292Z digest=sha256:91f4e658e9ad36b9f500c3445a502d8151aa30b6d1d31e8343619471214767b5

Observation 3d077561-5e8f-4c85-a1fd-2fad28f62366 · outbound

This paper cites Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models.

The Computational Basis of Confidence in Large Language Models Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models

Reference 54

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no resolver link, observed 2026-08-02T06:37:44.034377Z

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source=arxiv_source observed=2026-08-02T06:37:44.034377Z digest=sha256:e6e5adcf0d3af5a7834638a0135c4c6bde4c84b13360217166820fd062f8da7c

Observation 806d79ed-c7ef-4e0e-a8ea-1aa9c994f73c · outbound

This paper cites Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=.

The Computational Basis of Confidence in Large Language Models Proceedings of the 61st annual meeting of the association for computational linguistics (volume 1: Long papers) , pages=

Reference 55

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source=arxiv_source observed=2026-08-02T06:37:44.141544Z digest=sha256:d992b08dde9dfbbab0ab382de441372678a795f060334f2c644c53dddf61c043

Observation cc8eab25-4987-4d34-865e-7313bd85c01e · outbound

This paper cites Current Directions in Psychological Science , pages=.

The Computational Basis of Confidence in Large Language Models Current Directions in Psychological Science , pages=

Reference 56

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source=arxiv_source observed=2026-08-02T06:37:44.267666Z digest=sha256:4862dd424a7e9df6580c2750b2c6e2486a9d8909fc9fa9e06a8e44e6766179f2

Observation 0f78fc08-6c39-4b8c-9145-7914567dfb80 · outbound

This paper cites Neuron , volume=.

The Computational Basis of Confidence in Large Language Models Neuron , volume=

Reference 57

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no resolver link, observed 2026-08-02T06:37:44.349679Z

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source=arxiv_source observed=2026-08-02T06:37:44.349679Z digest=sha256:17f4cc77518e715a516eb83365913579c1b5bb2daab95fa9fe8ecac6fba3021a

Observation f9a8353b-315f-4ebc-820f-a7fc6547430a · outbound

This paper cites Cell , volume=.

The Computational Basis of Confidence in Large Language Models Cell , volume=

Reference 58

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no resolver link, observed 2026-08-02T06:37:44.464462Z

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source=arxiv_source observed=2026-08-02T06:37:44.464462Z digest=sha256:358bcec63d79e93519350741c1b36406398dbf39b563292942b74f5b1b7d7bb6

Observation a008a8fe-1a28-455a-aa2e-b5598b3a2044 · outbound

This paper cites Causal evidence that language models use confidence to drive behavior , journal =.

The Computational Basis of Confidence in Large Language Models Causal evidence that language models use confidence to drive behavior , journal =

Reference 59

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source=arxiv_source observed=2026-08-02T06:37:44.576433Z digest=sha256:d183c06da3a36374376b6d5caf3a39c26b2ca0fc407c3a1f324dc4655f8fd12d

Observation b35ad614-c90b-4949-9fd1-b4bac6c58f05 · outbound

This paper cites How do LLMs compute verbal confidence? , booktitle =.

The Computational Basis of Confidence in Large Language Models How do LLMs compute verbal confidence? , booktitle =

Reference 60

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source=arxiv_source observed=2026-08-02T06:37:44.711588Z digest=sha256:48bd7ed09680fcf6c71c4fa3b3d7b5c9facdfc843602aa4aeaf8258acb166512

Observation ec7d7b54-f5e2-45ef-a5db-4aa270b17ec9 · outbound

This paper cites Neural computation , volume=.

The Computational Basis of Confidence in Large Language Models Neural computation , volume=

Reference 61

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source=arxiv_source observed=2026-08-02T06:37:44.854163Z digest=sha256:3d2a1c05724c23d5c1332e2819d8d97e18fcdbc503eb439e662295abbe48b11c

Observation 36d54548-55ab-4b47-885f-98ac8e71b0d2 · outbound

This paper cites , author=.

The Computational Basis of Confidence in Large Language Models , author=

Reference 62

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source=arxiv_source observed=2026-08-02T06:37:44.974057Z digest=sha256:339d2ca2024696cc12bc4045c122df362c9a8196a46b2ca0af4d608a1c65e8a7

Observation 79f993d6-d6ab-4126-8a49-1baa068fa8d9 · outbound

This paper cites Annual Review of Vision Science , volume=.

The Computational Basis of Confidence in Large Language Models Annual Review of Vision Science , volume=

Reference 63

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source=arxiv_source observed=2026-08-02T06:37:45.088908Z digest=sha256:41eeb878e0c5ad5f21294305eb6c2b9281a2c8ab765ab808d9a319f3fe74f4f7

Observation aa430bd1-0271-4ace-8ac1-7220e0200d37 · outbound

This paper cites International conference on machine learning , pages=.

The Computational Basis of Confidence in Large Language Models International conference on machine learning , pages=

Reference 64

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source=arxiv_source observed=2026-08-02T06:37:45.224097Z digest=sha256:5cc0e5f1dc080a752bd7878d5ce59eaa1753c18b41ff25d820f59d7989dc8463

Observation 65798a31-84f5-46ac-ac60-67412ec46367 · outbound

This paper cites 2026 , journal =.

The Computational Basis of Confidence in Large Language Models 2026 , journal =

Reference 65

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source=arxiv_source observed=2026-08-02T06:37:45.367601Z digest=sha256:4cc8af0b7fb32c6eda29cc87f77761469ccb48e23b4fef84b585f657ce6d5440

Observation 944eb212-60dc-4dc2-8a9c-cb4e0b3cb7d4 · outbound

This paper cites Challenging the.

The Computational Basis of Confidence in Large Language Models Challenging the

Reference 66

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source=arxiv_source observed=2026-08-02T06:37:45.486491Z digest=sha256:de4ffe4ca05c59d9046b29036ab9eeabfa524e6a4ed49670cf7c450bffac94a1

Pith citing papers

No inbound Pith citation observations are available.