Paper Citation Record · LEDGER

PAC-Bayes with Backprop

As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 3 inbound Pith citation observations for arXiv:1908.07380.

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

pith.paper-citation-record.v1
1908.07380 v5

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:41:04.481868Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:08:02.945208Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:14:01.885058Z

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3ee75ee-7f84-4c12-a5ba-3fb50034cf06 · outbound

This paper cites Weight uncertainty in neural networks.

PAC-Bayes with Backprop Weight uncertainty in neural networks

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.940232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6a0bbc1a-43e7-4638-bdf2-e15579fe67ab · outbound

This paper cites Stochastic gradient descent tricks.

PAC-Bayes with Backprop Stochastic gradient descent tricks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.924666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 076c540c-f705-4684-a7bb-92fe3d42e77b · outbound

This paper cites Concentration inequalities: A nonasymptotic theory of independence.

PAC-Bayes with Backprop Concentration inequalities: A nonasymptotic theory of independence

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T12:41:04.349270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5a71cef-32db-4ac1-8aa9-03f950df3bee · outbound

This paper cites Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping.

PAC-Bayes with Backprop Overfitting in neural nets: Backpropagation, conjugate gradient, and early stopping

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.898727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation acc0d49f-e52e-40ed-b7d2-9d2b498b1fc1 · outbound

This paper cites UCI Machine Learning Repository , 2017.

PAC-Bayes with Backprop UCI Machine Learning Repository , 2017

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.883935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d2db745e-7c92-447b-9949-afa6008203ed · outbound

This paper cites an unresolved cited work.

PAC-Bayes with Backprop Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:41:04.869121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 16ccacaa-ed78-4e80-853d-299eedbf6e2e · outbound

This paper cites Data-dependent PAC-Bayes priors via differential privacy.

PAC-Bayes with Backprop Data-dependent PAC-Bayes priors via differential privacy

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.855510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4d9db373-9e1f-4ecf-9e27-5dfa09ce6e83 · outbound

This paper cites Self bounding learning algorithms.

PAC-Bayes with Backprop Self bounding learning algorithms

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.840445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 6741e1a2-9238-405d-8e9c-beb76c52d5a3 · outbound

This paper cites Keeping neural networks simple.

PAC-Bayes with Backprop Keeping neural networks simple

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.825398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 711af00f-0877-414d-bd01-b75f03a2c166 · outbound

This paper cites Pathwise Derivatives Beyond the Reparameterization Trick.

PAC-Bayes with Backprop Pathwise Derivatives Beyond the Reparameterization Trick

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:41:04.580105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a82617be-28f1-41e7-b9c7-fb90b43227ba · outbound

This paper cites Microchoice bounds and self bounding learning algorithms.

PAC-Bayes with Backprop Microchoice bounds and self bounding learning algorithms

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.810863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ca9f668e-3a49-426e-87f4-3504e55fa749 · outbound

This paper cites (Not) bounding the true error.

PAC-Bayes with Backprop (Not) bounding the true error

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.795966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2c9c05be-08d7-40d3-ab6b-e9ddc0b435ca · outbound

This paper cites Bounds for averaging classifiers.

PAC-Bayes with Backprop Bounds for averaging classifiers

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.781764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e706431f-23da-4bd7-aae1-9e4a28b7ab09 · outbound

This paper cites Distribution-dependent PAC-Bayes priors.

PAC-Bayes with Backprop Distribution-dependent PAC-Bayes priors

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.767002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 27e5400e-ee69-408a-b89c-3765c524ffdb · outbound

This paper cites Tighter PAC-Bayes bounds through distribution-dependent priors.

PAC-Bayes with Backprop Tighter PAC-Bayes bounds through distribution-dependent priors

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.752310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c3251720-b698-4b4e-99ac-1113212938ab · outbound

This paper cites A PAC-Bayesian analysis of randomized learning with application to stochastic gradient descent.

PAC-Bayes with Backprop A PAC-Bayesian analysis of randomized learning with application to stochastic gradient descent

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.737706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 49429d1d-84f4-4edf-9864-d43bc58c7338 · outbound

This paper cites A Note on the PAC Bayesian Theorem.

PAC-Bayes with Backprop A Note on the PAC Bayesian Theorem

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T12:41:04.422363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5355af-eb1c-464b-a79c-6d3e0664a39a · outbound

This paper cites Bayesian Learning via Stochastic Dynamics.

PAC-Bayes with Backprop Bayesian Learning via Stochastic Dynamics

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.722539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a7db3f68-cce9-4161-8b61-4199d245f90f · outbound

This paper cites Exploring generalization in deep learning.

PAC-Bayes with Backprop Exploring generalization in deep learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.706977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0d1b910e-c1a7-41d6-a51f-3fea2d1e8adf · outbound

This paper cites A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks.

PAC-Bayes with Backprop A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-14T12:41:04.437643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e087433-7efc-45fa-87fc-e404f8424db0 · outbound

This paper cites Robust forward algorithms via PAC-Bayes and Laplace distributions.

PAC-Bayes with Backprop Robust forward algorithms via PAC-Bayes and Laplace distributions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.692129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c257be4b-8a51-4bfc-97fe-a0db79553257 · outbound

This paper cites PAC-Bayesian Margin Bounds for Convolutional Neural Networks.

PAC-Bayes with Backprop PAC-Bayesian Margin Bounds for Convolutional Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T12:41:04.447990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a41b479e-b492-409c-908d-9a5c1607ca1b · outbound

This paper cites A useful theorem for nonlinear devices having Gaussian inputs.

PAC-Bayes with Backprop A useful theorem for nonlinear devices having Gaussian inputs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.677380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08c9065f-1c86-47eb-bece-ba6db019d6d9 · outbound

This paper cites PAC-Bayesian Generalization Error Bounds for Gaussian Process Classification.

PAC-Bayes with Backprop PAC-Bayesian Generalization Error Bounds for Gaussian Process Classification

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.661288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2f31cfeb-8f74-4a14-90a4-a60a02cd0756 · outbound

This paper cites Understanding Machine Learning.

PAC-Bayes with Backprop Understanding Machine Learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.644671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4034e9d5-a950-4bb8-9d86-c2733d4e6b83 · outbound

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

PAC-Bayes with Backprop Dropout: a simple way to prevent neural networks from overfitting

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.628652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation efc748ac-8a6f-43d3-8382-72bcc4023ef1 · outbound

This paper cites A strongly quasiconvex PAC-Bayesian bound.

PAC-Bayes with Backprop A strongly quasiconvex PAC-Bayesian bound

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.613045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 877f50e5-c8a6-4329-8470-395ae2975da1 · outbound

This paper cites Regularization of neural networks using dropconnect.

PAC-Bayes with Backprop Regularization of neural networks using dropconnect

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:41:04.596721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation de8944ab-8190-47da-9370-6a782e34aeba · outbound

This paper cites Are All Layers Created Equal?.

PAC-Bayes with Backprop Are All Layers Created Equal?

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T12:41:04.481868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 9ade8bd2-ca2a-4986-8d46-e7f0781b457d · inbound

Federated Learning with Nonvacuous Generalisation Bounds cites this paper.

Federated Learning with Nonvacuous Generalisation Bounds PAC-Bayes with Backprop

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-24T06:14:00.164084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 65016487-7963-48ac-8667-5115eea4810c · inbound

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement cites this paper.

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement PAC-Bayes with Backprop

Reference 243

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T16:12:39.488832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 65a59c03-e14f-4e36-bfd2-0023902289e0 · inbound

From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD cites this paper.

From Privacy to Generalization: Linear Max-Information Bounds for DP-SGD PAC-Bayes with Backprop

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:01.886602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.