Paper Citation Record · LEDGER

Last Layer Empirical Bayes

As of 9 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2505.15888.

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

pith.paper-citation-record.v1
2505.15888 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:07.810767Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

48 of 48 outbound references displayed

verified exact0
verified fuzzy33
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7955d9f-9405-443b-b4b6-a4868b423017 · outbound

This paper cites write newline.

Last Layer Empirical Bayes write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:04.564376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70f73b4a-5cb3-4860-a04e-bae801780225 · outbound

This paper cites Fieguth, Xiaochun Cao, Abbas Khosravi, U.

Last Layer Empirical Bayes Fieguth, Xiaochun Cao, Abbas Khosravi, U

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:14.260765Z

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 3f401219-0b1e-446c-ba6b-14ea3e391c24 · outbound

This paper cites Variational inference: A review for statisticians.

Last Layer Empirical Bayes Variational inference: A review for statisticians

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:04.679341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32d38805-d057-403d-b87b-bbd60aa0d0c0 · outbound

This paper cites Weight uncertainty in neural network.

Last Layer Empirical Bayes Weight uncertainty in neural network

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:04.739339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 803002b6-9d07-4989-8a9e-b4e5f6d19926 · outbound

This paper cites End to End Learning for Self-Driving Cars.

Last Layer Empirical Bayes End to End Learning for Self-Driving Cars

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:04.812434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 997cb583-8ddb-439a-a1a0-e7ebef8fb979 · outbound

This paper cites Stochastic gradient hamiltonian monte carlo.

Last Layer Empirical Bayes Stochastic gradient hamiltonian monte carlo

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:14.051254Z

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 1384e97e-e923-41a7-9f88-ff39a7d7665a · outbound

This paper cites Laplace redux-effortless B ayesian deep learning.

Last Layer Empirical Bayes Laplace redux-effortless B ayesian deep learning

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:13.850677Z

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 256d4429-7a48-40d3-9569-1ab37617e533 · outbound

This paper cites NICE : Non-linear independent components estimation.

Last Layer Empirical Bayes NICE : Non-linear independent components estimation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:13.617823Z

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 3bdd0d80-1b79-44bc-b006-76b919d30847 · outbound

This paper cites Neural spline flows.

Last Layer Empirical Bayes Neural spline flows

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:13.419498Z

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 bba1c13a-fc95-4a4a-b2b6-f54dba801e22 · outbound

This paper cites nflows : normalizing flows in PyTorch , November 2020.

Last Layer Empirical Bayes nflows : normalizing flows in PyTorch , November 2020

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:05.211360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43c65a46-721e-4309-a06d-b730c9b73448 · outbound

This paper cites Dermatologist-level classification of skin cancer with deep neural networks.

Last Layer Empirical Bayes Dermatologist-level classification of skin cancer with deep neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:13.250931Z

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 37432edf-9968-475f-9dad-f0befe55f7d6 · outbound

This paper cites Dropout as a B ayesian approximation: Representing model uncertainty in deep learning.

Last Layer Empirical Bayes Dropout as a B ayesian approximation: Representing model uncertainty in deep learning

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:13.125792Z

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 eec9eb4e-731a-4a08-b047-bfa4bb8a7f0a · outbound

This paper cites Practical variational inference for neural networks.

Last Layer Empirical Bayes Practical variational inference for neural networks

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:12.947541Z

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 7da000e6-2963-4fe3-a4b4-0c22e001b559 · outbound

This paper cites Variational B ayesian last layers.

Last Layer Empirical Bayes Variational B ayesian last layers

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:12.775617Z

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 d5fc7948-3549-4997-80a0-a9810cf2c302 · outbound

This paper cites Deep residual learning for image recognition.

Last Layer Empirical Bayes Deep residual learning for image recognition

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:12.596537Z

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 8f84936e-79b1-438c-a107-011a430d3e6f · outbound

This paper cites Probabilistic backpropagation for scalable learning of B ayesian neural networks.

Last Layer Empirical Bayes Probabilistic backpropagation for scalable learning of B ayesian neural networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:12.405997Z

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 a6e0b5b4-ff42-47d4-afd9-92d006036628 · outbound

This paper cites Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods.

Last Layer Empirical Bayes Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:12.228159Z

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 3afa23a9-8412-4ebb-80ee-ee31f1a985d6 · outbound

This paper cites Adam: A method for stochastic optimization.

Last Layer Empirical Bayes Adam: A method for stochastic optimization

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:05.804584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dac3688f-6020-4920-b061-632256d9d89c · outbound

This paper cites Auto-encoding variational Bayes.

Last Layer Empirical Bayes Auto-encoding variational Bayes

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:12.079600Z

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 5f6f0876-b8a5-481d-b1f1-221e0e58c6d5 · outbound

This paper cites Improved variational inference with inverse autoregressive flow.

Last Layer Empirical Bayes Improved variational inference with inverse autoregressive flow

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:11.838282Z

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 26d3d5f0-9b6c-44d0-8dda-b7e0e8e88aaa · outbound

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

Last Layer Empirical Bayes Being B ayesian, even just a bit, fixes overconfidence in relu networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:11.675420Z

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 b234dd18-9796-4b81-b90c-b74bb425fc9c · outbound

This paper cites Learning multiple layers of features from tiny images.

Last Layer Empirical Bayes Learning multiple layers of features from tiny images

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:06.089961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9cd3f2c-ed0f-4fff-adc5-5bc0d40bdcab · outbound

This paper cites Simple and scalable predictive uncertainty estimation using deep ensembles.

Last Layer Empirical Bayes Simple and scalable predictive uncertainty estimation using deep ensembles

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:06.147708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb65e3f-175f-4925-9cbc-13dadb6abe90 · outbound

This paper cites Marginalized neural network mixtures for large-scale regression.

Last Layer Empirical Bayes Marginalized neural network mixtures for large-scale regression

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:11.476226Z

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 72db6b3e-1861-49ba-90b8-a073e1b8d145 · outbound

This paper cites Gradient-based learning applied to document recognition.

Last Layer Empirical Bayes Gradient-based learning applied to document recognition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:06.322943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e59aea5e-a56c-476d-852c-8053b95053c0 · outbound

This paper cites A survey on deep learning in medical image analysis.

Last Layer Empirical Bayes A survey on deep learning in medical image analysis

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:11.279957Z

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 4fe32d1c-b428-4ee4-bc00-4ed3850af2d4 · outbound

This paper cites Maximum entropy flow networks.

Last Layer Empirical Bayes Maximum entropy flow networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:11.084060Z

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 cc21cd62-6150-4528-aed1-30ecd4035aa4 · outbound

This paper cites Deep Ensembles Secretly Perform Empirical Bayes.

Last Layer Empirical Bayes Deep Ensembles Secretly Perform Empirical Bayes

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:06.472635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc25b1a6-13bb-4b0c-bf62-38bd001b841e · outbound

This paper cites Structured and efficient variational deep learning with matrix G aussian posteriors.

Last Layer Empirical Bayes Structured and efficient variational deep learning with matrix G aussian posteriors

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:10.878892Z

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 59666254-9e32-4155-94ab-a6ca3778ab8b · outbound

This paper cites Multiplicative normalizing flows for variational B ayesian neural networks.

Last Layer Empirical Bayes Multiplicative normalizing flows for variational B ayesian neural networks

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:10.669373Z

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 14b8243f-e447-418b-bdb0-eea9e773e225 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning.

Last Layer Empirical Bayes Reading digits in natural images with unsupervised feature learning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:10.490792Z

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 4b8b8f06-999f-4cc8-9352-455673ab3e76 · outbound

This paper cites Practical deep learning with B ayesian principles.

Last Layer Empirical Bayes Practical deep learning with B ayesian principles

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:10.278611Z

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 bd492b8a-4ec9-4525-9c7e-d1f879f28d95 · outbound

This paper cites Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons.

Last Layer Empirical Bayes Uncertainty quantification in scientific machine learning: Methods, metrics, and comparisons

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:10.033479Z

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 f5a007ba-75fe-4bb1-b832-6ab05ce8dfca · outbound

This paper cites Variational inference with normalizing flows.

Last Layer Empirical Bayes Variational inference with normalizing flows

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:09.851311Z

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 73c27554-0b0e-4ae6-a9f9-1d1ba34befac · outbound

This paper cites Stochastic backpropagation and approximate inference in deep generative models.

Last Layer Empirical Bayes Stochastic backpropagation and approximate inference in deep generative models

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:09.638597Z

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 cd275eef-04fd-411d-b8d7-d2b2087c08bf · outbound

This paper cites A scalable L aplace approximation for neural networks.

Last Layer Empirical Bayes A scalable L aplace approximation for neural networks

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:09.483495Z

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 70631966-0f66-43cb-acd5-af5c0bc18213 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

Last Layer Empirical Bayes Dropout: a simple way to prevent neural networks from overfitting

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:09.244312Z

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 998c3aa3-b3f9-472d-84b5-8e5d5b6cb9b4 · outbound

This paper cites Graphical models, exponential families, and variational inference.

Last Layer Empirical Bayes Graphical models, exponential families, and variational inference

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:09.027376Z

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 a2501143-a3dd-4018-aaf3-91f80e10c8ac · outbound

This paper cites Neural linear models with functional G aussian process priors.

Last Layer Empirical Bayes Neural linear models with functional G aussian process priors

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:08.859627Z

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 600e0d78-0273-45b8-a295-1cc360ef554d · outbound

This paper cites Latent derivative B ayesian last layer networks.

Last Layer Empirical Bayes Latent derivative B ayesian last layer networks

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:08.645390Z

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 5b2aae53-0ebd-4f53-8e40-f836c4896704 · outbound

This paper cites Bayesian learning via stochastic gradient langevin dynamics.

Last Layer Empirical Bayes Bayesian learning via stochastic gradient langevin dynamics

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:08.489309Z

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 5c377134-061c-400b-a2ee-d1c0e12c2f06 · outbound

This paper cites Deterministic variational inference for robust B ayesian neural networks.

Last Layer Empirical Bayes Deterministic variational inference for robust B ayesian neural networks

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:08.315636Z

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 b55c7b18-1451-4c51-a114-0b7d0e88254e · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

Last Layer Empirical Bayes Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:07.555555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f75b52da-d465-4225-9392-1b2fcbb1bdac · outbound

This paper cites Bayesian low-rank adaptation for large language models.

Last Layer Empirical Bayes Bayesian low-rank adaptation for large language models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:07.598337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b140559-58dc-4ec1-a392-d8aa17d250af · outbound

This paper cites Cyclical stochastic gradient MCMC for B ayesian deep learning.

Last Layer Empirical Bayes Cyclical stochastic gradient MCMC for B ayesian deep learning

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:17:08.101580Z

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 d7d39dfd-8a7b-4758-a051-d19bfafc41c9 · outbound

This paper cites @esa (Ref.

Last Layer Empirical Bayes @esa (Ref

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:07.698758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a040322-b591-4b4a-be94-57d455e82099 · outbound

This paper cites an unresolved cited work.

Last Layer Empirical Bayes Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:07.771788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 967b5c76-f386-42fc-bcea-c641e87fa012 · outbound

This paper cites an unresolved cited work.

Last Layer Empirical Bayes Unresolved cited work

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T15:17:07.810767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.