Paper Citation Record · LEDGER

Can Bayesian Neural Networks Make Confident Predictions?

As of 22 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2501.11773.

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

pith.paper-citation-record.v1
2501.11773 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:02:19.032814Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:41:41.926775Z

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

verified exact8
verified fuzzy21
unresolved35
parse uncertain0
malformed identifier2
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 02d621e6-37a6-4674-86ce-923441dda7f2 · outbound

This paper cites The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization.

Can Bayesian Neural Networks Make Confident Predictions? The Neural Tangent Kernel in High Dimensions: Triple Descent and a Multi-Scale Theory of Generalization

Reference 1

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Observation 0bd988c9-2d02-4aef-8a44-a48e74e27cdd · outbound

This paper cites Git Re-Basin: Merging Models modulo Permutation Symmetries.

Can Bayesian Neural Networks Make Confident Predictions? Git Re-Basin: Merging Models modulo Permutation Symmetries

Reference 2

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Observation 28bd8d7f-293f-4fc7-a108-9a3245ef5e8e · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 3

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Observation 471f991d-ce85-44b2-8394-985f31873abd · outbound

This paper cites A Primer on Bayesian Neural Networks: Review and Debates.

Can Bayesian Neural Networks Make Confident Predictions? A Primer on Bayesian Neural Networks: Review and Debates

Reference 4

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Observation d0e705cc-b3d8-4c30-8d95-2d00a04a8696 · outbound

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 5

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Observation 1e2c55c9-e356-45ef-a398-09ad38000c87 · outbound

This paper cites Bartlett, Andrea Montanari, and Alexander Rakhlin.

Can Bayesian Neural Networks Make Confident Predictions? Bartlett, Andrea Montanari, and Alexander Rakhlin

Reference 6

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Source-reported events for the cited work

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Observation 67b19adb-fbf4-4ef6-be49-0c2bb4e2398e · outbound

This paper cites Reconciling modern machine- learning practice and the classical bias–variance trade-off.Proceedings of the National Academy of Sciences , 116(32):15849–15854, 2019.

Can Bayesian Neural Networks Make Confident Predictions? Reconciling modern machine- learning practice and the classical bias–variance trade-off.Proceedings of the National Academy of Sciences , 116(32):15849–15854, 2019

Reference 7

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Source-reported events for the cited work

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Observation 592cbb16-75ba-4783-923d-e30962b3b705 · outbound

This paper cites Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges.

Can Bayesian Neural Networks Make Confident Predictions? Variational Bayes Neural Network: Posterior Consistency, Classification Accuracy and Computational Challenges

Reference 8

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Observation f1142f53-bf78-44eb-847c-9dd2eafb69c2 · outbound

This paper cites On the geometry of feedforward neural network error surfaces.

Can Bayesian Neural Networks Make Confident Predictions? On the geometry of feedforward neural network error surfaces

Reference 9

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Observation 3c821168-c92f-4470-a038-68ebcc4d2e9f · outbound

This paper cites Convergence Rates of Variational Inference in Sparse Deep Learning.

Can Bayesian Neural Networks Make Confident Predictions? Convergence Rates of Variational Inference in Sparse Deep Learning

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:02:19.889684Z

Source-reported events for the cited work

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Observation 5d1efc13-296f-440e-840c-ce2982e3dd8d · outbound

This paper cites On double- descent in uncertainty quantification in overparametrized models.

Can Bayesian Neural Networks Make Confident Predictions? On double- descent in uncertainty quantification in overparametrized models

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:02:20.726257Z

Source-reported events for the cited work

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Observation b984a6e9-49e3-4ea0-8b3e-6daad2185de9 · outbound

This paper cites Bayes-optimal learning of deep random networks of extensive-width.

Can Bayesian Neural Networks Make Confident Predictions? Bayes-optimal learning of deep random networks of extensive-width

Reference 12

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Observation b10f61f6-d4df-44ea-abbc-9f0f39bcdf3f · outbound

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 13

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Observation aad26475-474a-4ab9-a455-b2bba619d51e · outbound

This paper cites Blei and Jon D.

Can Bayesian Neural Networks Make Confident Predictions? Blei and Jon D

Reference 14

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Observation cf44ad47-11a2-49ab-9bf6-859bdcfb37ea · outbound

This paper cites Bayesian deep learning via subnetwork inference.

Can Bayesian Neural Networks Make Confident Predictions? Bayesian deep learning via subnetwork inference

Reference 15

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Observation b174b8e8-5105-4293-b06e-f2b5d7fe4853 · outbound

This paper cites Denker and Yann LeCun.

Can Bayesian Neural Networks Make Confident Predictions? Denker and Yann LeCun

Reference 16

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Observation da9dfa9e-d39b-4002-8757-6c7cad266034 · outbound

This paper cites The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks.

Can Bayesian Neural Networks Make Confident Predictions? The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks

Reference 17

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Observation 7ff8b258-ef31-4623-ac65-605d6bf05d1e · outbound

This paper cites Reconstructing a neural net from its output.

Can Bayesian Neural Networks Make Confident Predictions? Reconstructing a neural net from its output

Reference 18

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Observation 91ca40ff-fdda-487d-9aae-de8e266a090c · outbound

This paper cites 'In-Between' Uncertainty in Bayesian Neural Networks.

Can Bayesian Neural Networks Make Confident Predictions? 'In-Between' Uncertainty in Bayesian Neural Networks

Reference 19

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Observation e9555af0-a296-4597-8dbd-a81ac549dbb3 · outbound

This paper cites Loss surfaces, mode connectivity, and fast ensembling of dnns.

Can Bayesian Neural Networks Make Confident Predictions? Loss surfaces, mode connectivity, and fast ensembling of dnns

Reference 20

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Observation c8fba93b-cd01-48ec-ac69-c743ca54e297 · outbound

This paper cites A survey of uncertainty in deep neural networks.

Can Bayesian Neural Networks Make Confident Predictions? A survey of uncertainty in deep neural networks

Reference 21

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 22

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Observation ee4cd661-473e-4cbd-a24f-5c3455f9ff56 · outbound

This paper cites Generalisation error in learning with random features and the hidden manifold model*.

Can Bayesian Neural Networks Make Confident Predictions? Generalisation error in learning with random features and the hidden manifold model*

Reference 23

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Observation 55af36d7-67fa-43a2-9068-ba327b537903 · outbound

This paper cites The gaussian equivalence of generative models for learning with shallow neural networks.

Can Bayesian Neural Networks Make Confident Predictions? The gaussian equivalence of generative models for learning with shallow neural networks

Reference 24

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Observation 961d2fbd-33ad-40d5-8752-9ae8cb6b0911 · outbound

This paper cites Hidden symmetries of ReLU networks.

Can Bayesian Neural Networks Make Confident Predictions? Hidden symmetries of ReLU networks

Reference 25

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Observation 424fd042-6eb8-4e34-9537-8aeaa8e62c35 · outbound

This paper cites Elisenda Grigsby, Kathryn Lindsey, Robert Meyerhoff, and Chenxi Wu.

Can Bayesian Neural Networks Make Confident Predictions? Elisenda Grigsby, Kathryn Lindsey, Robert Meyerhoff, and Chenxi Wu

Reference 26

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Observation 1ad1116d-b286-46d0-a3d7-edc18040c217 · outbound

This paper cites Bayesian interpolation with deep linear networks.

Can Bayesian Neural Networks Make Confident Predictions? Bayesian interpolation with deep linear networks

Reference 27

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This paper cites On the algebraic structure of feedforward network weight spaces.

Can Bayesian Neural Networks Make Confident Predictions? On the algebraic structure of feedforward network weight spaces

Reference 28

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Observation 9ffc9a46-12cc-45af-8086-a36b4231874e · outbound

This paper cites Hinton and Drew van Camp.

Can Bayesian Neural Networks Make Confident Predictions? Hinton and Drew van Camp

Reference 29

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This paper cites Simplifying neural nets by discovering flat minima.

Can Bayesian Neural Networks Make Confident Predictions? Simplifying neural nets by discovering flat minima

Reference 30

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Observation 96418a7c-0ee5-4812-b885-3f2a0046a878 · outbound

This paper cites Stinchcombe, and Halbert L.

Can Bayesian Neural Networks Make Confident Predictions? Stinchcombe, and Halbert L

Reference 31

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 32

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This paper cites On the approximate realization of continuous mappings by neural networks.

Can Bayesian Neural Networks Make Confident Predictions? On the approximate realization of continuous mappings by neural networks

Reference 33

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 34

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 35

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Observation ea941f22-b44d-4935-a251-eb89d3315353 · outbound

This paper cites Neural tangent kernel: convergence and generalization in neural networks.

Can Bayesian Neural Networks Make Confident Predictions? Neural tangent kernel: convergence and generalization in neural networks

Reference 36

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Observation a7bab56d-f1f9-4047-9045-cf0af0fdf8d1 · outbound

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Can Bayesian Neural Networks Make Confident Predictions? Kennedy and Anthony O’Hagan

Reference 37

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Observation 8cd43289-d6d3-48ad-beab-2052d45e501d · outbound

This paper cites Being bayesian, even just a bit, fixes overconfidence in relu networks.

Can Bayesian Neural Networks Make Confident Predictions? Being bayesian, even just a bit, fixes overconfidence in relu networks

Reference 38

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Observation 909e8b49-56a1-4cbb-a50d-f3a4440b1217 · outbound

This paper cites Learnable uncertainty under laplace approximations.

Can Bayesian Neural Networks Make Confident Predictions? Learnable uncertainty under laplace approximations

Reference 39

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 40

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Observation d719019e-b619-476f-9c36-d8156f83511d · outbound

This paper cites Statistical Mechanics of Deep Linear Neural Networks: The Back-Propagating Kernel Renormalization.

Can Bayesian Neural Networks Make Confident Predictions? Statistical Mechanics of Deep Linear Neural Networks: The Back-Propagating Kernel Renormalization

Reference 41

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Observation 7a077d74-546e-4a63-812d-5388fed6a51c · outbound

This paper cites Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation.

Can Bayesian Neural Networks Make Confident Predictions? Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation

Reference 42

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 43

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 44

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 45

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This paper cites The generalization error of random features regression: Precise asymptotics and the double descent curve.

Can Bayesian Neural Networks Make Confident Predictions? The generalization error of random features regression: Precise asymptotics and the double descent curve

Reference 46

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 47

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This paper cites Implicit Regularization in Deep Learning.

Can Bayesian Neural Networks Make Confident Predictions? Implicit Regularization in Deep Learning

Reference 48

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Observation b59378ac-6634-4ee3-82cf-cb896ea93f00 · outbound

This paper cites In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning.

Can Bayesian Neural Networks Make Confident Predictions? In Search of the Real Inductive Bias: On the Role of Implicit Regularization in Deep Learning

Reference 49

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 50

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Observation 2dab9a6c-6b74-4d76-a33a-e45c3db06cfa · outbound

This paper cites Theory IIIb: Generalization in Deep Networks.

Can Bayesian Neural Networks Make Confident Predictions? Theory IIIb: Generalization in Deep Networks

Reference 51

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Observation 1209512a-5f64-43d2-aa15-44296ac8f5a9 · outbound

This paper cites Random features for large-scale kernel machines.

Can Bayesian Neural Networks Make Confident Predictions? Random features for large-scale kernel machines

Reference 52

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Observation b80f2a9d-343a-4d03-8798-8a28067e9a63 · outbound

This paper cites Structured Partial Stochasticity in Bayesian Neural Networks.

Can Bayesian Neural Networks Make Confident Predictions? Structured Partial Stochasticity in Bayesian Neural Networks

Reference 53

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Observation 5b440b73-acbf-4548-9715-7439c92c7f40 · outbound

This paper cites Reverse-engineering deep ReLU networks.

Can Bayesian Neural Networks Make Confident Predictions? Reverse-engineering deep ReLU networks

Reference 54

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Observation cf5f6019-34ad-4004-b8b2-a16d46cdb6e3 · outbound

This paper cites On permutation symmetries in bayesian neural network posteriors: a variational perspective.

Can Bayesian Neural Networks Make Confident Predictions? On permutation symmetries in bayesian neural network posteriors: a variational perspective

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:02:20.149793Z

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Observation 43865c67-fcdd-4816-a0e8-453edda6c5b4 · outbound

This paper cites Najm, and Roger Ghanem.

Can Bayesian Neural Networks Make Confident Predictions? Najm, and Roger Ghanem

Reference 56

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 58

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 60

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

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Can Bayesian Neural Networks Make Confident Predictions? Understanding deep learning requires rethinking generalization, 2017

Reference 63

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Can Bayesian Neural Networks Make Confident Predictions? Understanding deep learning (still) requires rethinking generalization

Reference 64

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Can Bayesian Neural Networks Make Confident Predictions? doi: 10.1145/3446776

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Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 2021

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Pith citing papers

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Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance cites this paper.

Rethinking Likelihood distributions: Student's t Likelihood Boosts Bayesian Neural Network Performance Can Bayesian Neural Networks Make Confident Predictions?

Reference 17

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