Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T06:37:45.486491Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T06:37:45.486491Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 59ef7b3e-3560-4316-b78c-59b2eac8f62f · outbound
The Computational Basis of Confidence in Large Language Models Nature , volume=
Reference 1
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Observation 0f1c8d31-7d72-4121-a202-88ebdb49d727 · outbound
The Computational Basis of Confidence in Large Language Models Neuron , volume=
Reference 2
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Observation 97f8ad56-8960-408a-85f6-99122511d809 · outbound
The Computational Basis of Confidence in Large Language Models Neural Computation , volume=
Reference 3
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Observation 4da5b430-d114-48bf-85b6-950533c0a497 · outbound
The Computational Basis of Confidence in Large Language Models , author=
Reference 4
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Observation a6cf52ab-dcad-4541-b110-cb702b962b0d · outbound
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
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
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
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
The Computational Basis of Confidence in Large Language Models Gemma 3 Technical Report
Reference 9
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Observation 84a50ab3-5ede-430f-b8ee-c727b51b9dd7 · outbound
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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Observation b57ba2de-cdd7-4606-ab8b-e76cc76401e5 · outbound
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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Observation d4e842d3-9f6b-41df-a6db-3e10bd4df121 · outbound
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
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
The Computational Basis of Confidence in Large Language Models arXiv preprint arXiv:2501.19306 , year=
Reference 14
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Observation 9c535d5d-1e2d-42ad-af08-46aba86e404d · outbound
The Computational Basis of Confidence in Large Language Models , author=
Reference 15
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Observation 6f1acfff-0e69-4d97-b8b4-1d9a5d370919 · outbound
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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Observation d7c18a55-3055-4a89-a731-bedb23fb55aa · outbound
The Computational Basis of Confidence in Large Language Models How to use and interpret activation patching
Reference 17
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Observation 1383aad1-d5f6-41ec-8d57-fdebfb915278 · outbound
The Computational Basis of Confidence in Large Language Models International Conference on Learning Representations , year=
Reference 18
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Observation fb97b8e9-d0d6-4d19-abd5-2e820e76fbdb · outbound
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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Observation 1d9ee33f-0206-430e-ba0b-6554d69c87c3 · outbound
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
The Computational Basis of Confidence in Large Language Models Transactions of the Association for Computational Linguistics , volume=
Reference 21
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Observation 7922dbbe-0b1c-4dce-b8f9-d6d13bb2f9b2 · outbound
The Computational Basis of Confidence in Large Language Models Nature , volume=
Reference 22
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Observation 5898173a-c352-4457-9286-cf1a37a1be43 · outbound
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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Observation 242cfce2-6928-423d-9bf8-bdf1d373b83c · outbound
The Computational Basis of Confidence in Large Language Models science , volume=
Reference 24
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Observation cbc7aedf-98eb-486d-8265-04b594829e30 · outbound
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
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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Observation ee630d96-7423-4e64-b900-e776ba05cb09 · outbound
The Computational Basis of Confidence in Large Language Models Large Language Models have Intrinsic Self-Correction Ability
Reference 27
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Observation b658b9c8-b14a-4fef-8d78-6e7ee1755b31 · outbound
The Computational Basis of Confidence in Large Language Models arXiv preprint arXiv:2510.04013 , year=
Reference 28
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Observation 15f9e564-4972-4839-b4aa-ef6c1198b493 · outbound
The Computational Basis of Confidence in Large Language Models Advances in neural information processing systems , volume=
Reference 29
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Observation 21add6ab-ffa6-4dfe-a25a-8bce1b18b201 · outbound
The Computational Basis of Confidence in Large Language Models Advances in neural information processing systems , volume=
Reference 30
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Observation f074078a-face-4637-af4b-d5ad46aeb9b4 · outbound
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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Observation 4638d275-3cba-4742-88bc-95bc9f2d701e · outbound
The Computational Basis of Confidence in Large Language Models Nature neuroscience , volume=
Reference 32
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Observation 7ecca92c-babb-47f6-aee2-93d603345a88 · outbound
The Computational Basis of Confidence in Large Language Models Nature , volume=
Reference 33
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Observation b5ed9e03-c86f-4f84-b4bc-82a946dfa386 · outbound
The Computational Basis of Confidence in Large Language Models Nature Machine Intelligence , volume=
Reference 34
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Observation 02576b22-d371-4fae-a7d4-85bdd210f3b7 · outbound
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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Observation 5d77a0ca-4764-4e25-9d99-f060e68946ac · outbound
The Computational Basis of Confidence in Large Language Models ICLR , year=
Reference 36
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Observation 11c96b6e-1d32-416b-85e4-0aaa73be9f11 · outbound
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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Observation f294cae4-fe7c-4b1a-991b-0a662ecba00b · outbound
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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Observation a26f2a40-2c4c-4400-9f99-b8287b71edfb · outbound
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
The Computational Basis of Confidence in Large Language Models arXiv preprint arXiv:2505.14489 , year=
Reference 40
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Observation c81fb277-c577-4736-9afe-32b97afde5f4 · outbound
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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Observation 88dc8f9b-cc78-4cb2-8c8a-64df351df384 · outbound
The Computational Basis of Confidence in Large Language Models arXiv preprint arXiv:2510.20487 , year=
Reference 42
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Observation ea55de9d-f7f8-4777-8e9c-c92b5d2b9ab2 · outbound
The Computational Basis of Confidence in Large Language Models Steering Llama 2 via Contrastive Activation Addition
Reference 43
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Observation bd32edc9-720c-475e-b6ff-79705dad46aa · outbound
The Computational Basis of Confidence in Large Language Models Improving Instruction-Following in Language Models through Activation Steering
Reference 44
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Observation cf985718-09d2-467d-814d-25fafb12f3e4 · outbound
The Computational Basis of Confidence in Large Language Models Steering Language Models With Activation Engineering
Reference 45
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Observation 60b3868d-6486-4b1e-904b-f17458cb1d46 · outbound
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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Observation aac42c7e-00c9-4906-aa3b-a5387a0ac85c · outbound
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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Observation d726ee46-1e5b-4bf7-b9b2-5fd91d81de3f · outbound
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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Observation 413a3d04-7f24-4c9c-9445-e55c641eefc0 · outbound
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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Observation 5fcee475-1ba2-4f55-a165-96ff378f1699 · outbound
The Computational Basis of Confidence in Large Language Models Nature Reviews Neuroscience , volume=
Reference 50
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Observation 8030cda2-140d-43da-91f2-a5b9a63d8ef5 · outbound
The Computational Basis of Confidence in Large Language Models arXiv preprint arXiv:2510.27328 , year=
Reference 51
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Observation 2f987154-877f-44e5-a9eb-b6e2fd8e3287 · outbound
The Computational Basis of Confidence in Large Language Models Reasoning-Finetuning Repurposes Latent Representations in Base Models
Reference 52
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Observation 0d39ebd0-86d4-4254-b20d-827500dbd67e · outbound
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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Observation 3d077561-5e8f-4c85-a1fd-2fad28f62366 · outbound
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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Observation 806d79ed-c7ef-4e0e-a8ea-1aa9c994f73c · outbound
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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Observation cc8eab25-4987-4d34-865e-7313bd85c01e · outbound
The Computational Basis of Confidence in Large Language Models Current Directions in Psychological Science , pages=
Reference 56
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Observation 0f78fc08-6c39-4b8c-9145-7914567dfb80 · outbound
The Computational Basis of Confidence in Large Language Models Neuron , volume=
Reference 57
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Observation f9a8353b-315f-4ebc-820f-a7fc6547430a · outbound
The Computational Basis of Confidence in Large Language Models Cell , volume=
Reference 58
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Observation a008a8fe-1a28-455a-aa2e-b5598b3a2044 · outbound
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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Observation b35ad614-c90b-4949-9fd1-b4bac6c58f05 · outbound
The Computational Basis of Confidence in Large Language Models How do LLMs compute verbal confidence? , booktitle =
Reference 60
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Observation ec7d7b54-f5e2-45ef-a5db-4aa270b17ec9 · outbound
The Computational Basis of Confidence in Large Language Models Neural computation , volume=
Reference 61
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Observation 36d54548-55ab-4b47-885f-98ac8e71b0d2 · outbound
The Computational Basis of Confidence in Large Language Models , author=
Reference 62
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Observation 79f993d6-d6ab-4126-8a49-1baa068fa8d9 · outbound
The Computational Basis of Confidence in Large Language Models Annual Review of Vision Science , volume=
Reference 63
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Observation aa430bd1-0271-4ace-8ac1-7220e0200d37 · outbound
The Computational Basis of Confidence in Large Language Models International conference on machine learning , pages=
Reference 64
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Observation 65798a31-84f5-46ac-ac60-67412ec46367 · outbound
The Computational Basis of Confidence in Large Language Models 2026 , journal =
Reference 65
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Observation 944eb212-60dc-4dc2-8a9c-cb4e0b3cb7d4 · outbound
The Computational Basis of Confidence in Large Language Models Challenging the
Reference 66
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No inbound Pith citation observations are available.