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Paper Citation Record · LEDGER

Can Bayesian Neural Networks Make Confident Predictions?

As of 10 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 2026-08-10T06:31:04.303077+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

This paper cites an unresolved cited work.

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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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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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

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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

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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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This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 13

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This paper cites Blei and Jon D.

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

Reference 14

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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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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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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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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

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

Reference 29

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

Reference 30

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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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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

This paper cites Kennedy and Anthony O’Hagan.

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

Reference 37

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.865659Z digest=sha256:b4e49acce89b2d059a5f5bbbe756228bf741f102ee95a9e8e78f99f79961e7f8

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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raw_fallback, observed 2026-08-10T18:02:20.283164Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.873482Z digest=sha256:89d68d09a0d096a532920bf5803b16bbc0b54da2111f16c479277a03d52b2aa7

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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raw_fallback, observed 2026-08-10T18:02:20.266809Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.878890Z digest=sha256:ba1c033326a6405da6c2d2e43f530d18c62d186690aa809cfacaf7ed0bf8929c

Observation 3de17df5-a46c-4892-8f9e-cb0ad2ebe2ae · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 40

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.890830Z digest=sha256:3bef41d2232b4f27aac3708ff2caa154f0bc2a29b03be540c5362a6b750a280c

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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local_arxiv, observed 2026-08-10T18:02:19.375432Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.897949Z digest=sha256:0c79e262602db9788c23c37f37e5422ffec0c32eb048b5d4705b33dc213049fa

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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source=pdf_text observed=2026-08-10T18:02:18.904362Z digest=sha256:a926ba4c0874c4f514d579b7ceb708797e45fbba148d64da2801515f2832c2ed

Observation f45755e1-8184-4cfa-87e0-b7035b4d3657 · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 43

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source=pdf_text observed=2026-08-10T18:02:18.909739Z digest=sha256:3d50776edb50ac95d16775fbe53a2d2eecd561cafc13de647f4727a9f860f899

Observation ccaf796a-dcb5-40be-9606-4be6738539c6 · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 44

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source=pdf_text observed=2026-08-10T18:02:18.917626Z digest=sha256:2498ec62b490091ed775dd739c8ecd1d67441ae28dd5e7b46f96dcb273fa8bcb

Observation f665da75-6c55-4498-a8d7-e9d4b93602f6 · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 45

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source=pdf_text observed=2026-08-10T18:02:18.921955Z digest=sha256:79c47141c1267ffa59b83b6a79319d8ab40582486fd8c28dd9a3c01d5a74071d

Observation 828c6238-0cf1-41b8-aa27-4dd3eeb47b77 · outbound

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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no resolver link, observed 2026-08-10T18:02:18.926790Z

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source=pdf_text observed=2026-08-10T18:02:18.926790Z digest=sha256:828e7ac20c56dd2880b608eb8f6f52ea7c93f01994c1e713d534509d104ccabf

Observation fa2684ec-7661-424f-81ce-75de59177e2c · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 47

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no resolver link, observed 2026-08-10T18:02:18.930888Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:02:18.930888Z digest=sha256:ee31a9479e41191e77bc7007797cf70afe5a2acc31baa6feda3f3ee271f8be40

Observation 19c3b5b0-a2f8-4e93-b31b-e5cbb6a5266c · outbound

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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no resolver link, observed 2026-08-10T18:02:18.935998Z

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source=pdf_text observed=2026-08-10T18:02:18.935998Z digest=sha256:84c840c810450fbacee9797fb662a0a74dc38f702398cb131c7fdd9108a2d444

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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no resolver link, observed 2026-08-10T18:02:18.941280Z

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source=pdf_text observed=2026-08-10T18:02:18.941280Z digest=sha256:f20fd5337605aa51de6e38b20a90b6e1ac3df551c77840d6cd8395cc2be651c6

Observation 54c816b1-0012-4557-b14d-82d71478c47c · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 50

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raw_fallback, observed 2026-08-10T18:02:20.219207Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.946570Z digest=sha256:a5f04b35a7de070ed40ba48067076adc4351372960f514549adf41ff95fa2004

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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local_arxiv, observed 2026-08-10T18:02:19.280918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.952118Z digest=sha256:9804cb68550965c8bb19dd9ff6dbb4a13c68334b6f640c01ae24ccac297202fa

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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source=pdf_text observed=2026-08-10T18:02:18.956416Z digest=sha256:ac780b36c7f7a30e75fe12c5c1d458c38c8195113abea3ef725b3693e1ed331d

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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local_arxiv, observed 2026-08-10T18:02:19.247702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.960741Z digest=sha256:293b23ba7795be71e942faae33224540636205647d658fdab9ccd17ec6605d90

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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raw_fallback, observed 2026-08-10T18:02:20.175292Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.966288Z digest=sha256:c9c8d03473cd27d2800c10e94bdc230ee768eba7f1b3a91173828fec8485aebc

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

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raw_fallback, observed 2026-08-10T18:02:20.149793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.974813Z digest=sha256:d066fe7a3d9b73354eeeb16d241efb51cfe486d9b21987179afa6f47f74df857

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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raw_fallback, observed 2026-08-10T18:02:20.127389Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.979411Z digest=sha256:c4dbafd303529faadef2e27d54404a55464a43125a626127cc7110eb201a953e

Observation e84f6a40-cfbb-4263-b51a-d43d68781665 · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 57

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.986007Z digest=sha256:de9cf51650ee6ed4ab54b5dab7337850e93eeaf41dc335681d760dddfb6b4b20

Observation e16876d2-062d-471c-a401-cd86e54b6508 · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 58

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.998081Z digest=sha256:64606738b0ba74542d327713cacde0b1e999a0a103be3ad8539786e276e394f8

Observation 44671dcc-b2e2-41ef-b973-9cb3704566f1 · outbound

This paper cites Spiegelhalter and Steffen L.

Can Bayesian Neural Networks Make Confident Predictions? Spiegelhalter and Steffen L

Reference 59

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doi, observed 2026-08-10T18:02:19.098596Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:19.003678Z digest=sha256:22f7135c670a9f1160f4f7a6db899ade2bc95d9a264a3a729461843342a03991

Observation 411cad11-2bf9-4018-8fd5-1d659d7b75aa · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 60

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raw_fallback, observed 2026-08-10T18:02:20.046447Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:19.010202Z digest=sha256:963eba87165fbd85d3c528cb07620a6798a15f2670a3aca68643fde835234743

Observation 6b9e8edb-e3a9-4f74-a5cc-80545dddcae3 · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 61

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:19.015486Z digest=sha256:06507d9d1401c0cbb8c68ca17f5b927c82d899843bcbbed39df56426373f8295

Observation 439b33f9-9911-40b3-92cb-a67acefd42f5 · outbound

This paper cites Zavatone-Veth, William L.

Can Bayesian Neural Networks Make Confident Predictions? Zavatone-Veth, William L

Reference 62

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raw_fallback, observed 2026-08-10T18:02:20.009129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:19.020143Z digest=sha256:d75b7dfda96f29158540df8fdf0aa988e7af03fd9fe53e712504c55259cacc74

Observation cbf2e991-abba-486d-ad2b-9f6d7b9fa278 · outbound

This paper cites Understanding deep learning requires rethinking generalization, 2017.

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

Reference 63

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:02:19.024522Z digest=sha256:2b29e8fa344f8c5b3b3133018c49e1faad3d71fb41062a5a5f04c728910578b1

Observation 0d1d0b13-7b0e-4fd7-a80c-b52e7bdf5b2a · outbound

This paper cites Understanding deep learning (still) requires rethinking generalization.

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

Reference 64

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raw_fallback, observed 2026-08-10T18:02:19.980910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:19.028008Z digest=sha256:ae50ed46ee391360c085121d3d39cef5962f7424b0fafe48a5bf229dfcedc1f4

Observation a3ca6f20-8ff2-464b-b961-7d3089fa77b9 · outbound

This paper cites doi: 10.1145/3446776.

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

Reference 66

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:02:19.032814Z digest=sha256:37de67507f4a659cde5e458bca3c44bc6b9beb4e6b49ad2e604069455c319ca7

Observation 187e225c-829d-4aa5-9dba-78f828d6d83d · outbound

This paper cites an unresolved cited work.

Can Bayesian Neural Networks Make Confident Predictions? Unresolved cited work

Reference 2021

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T18:02:18.845727Z digest=sha256:b73d4d07598651ccff72982173856528744f3120d42b923403f987a8244d058f

Pith citing papers

Observation c7335629-bd9d-4f0b-936f-af3e4d0c26a6 · inbound

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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no resolver link, observed 2026-08-01T02:41:41.926775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:41:41.926775Z digest=sha256:e2d956c33c07ce6813b24fe0cde46450f48358a1b3a1993af5b74634f39b2192