Paper Citation Record · LEDGER

End-to-End Differential Privacy in Training Deep Neural Network Classifiers

As of 10 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.19580.

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

pith.paper-citation-record.v1
2607.19580 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T12:29:21.401720Z

measured 12 of 12 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 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

12 of 12 outbound references displayed

verified exact0
verified fuzzy0
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7530cdb0-fb63-4a36-9705-d3b11b0eebaf · outbound

This paper cites Abadi, A.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Abadi, A

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:19.802960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55043cec-a913-40ce-b816-0754e15413a6 · outbound

This paper cites DP-Image: Differential Privacy for Image Data in Feature Space.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers DP-Image: Differential Privacy for Image Data in Feature Space

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:21.078216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 537020bb-b1d3-4682-951b-b6c35be7eddb · outbound

This paper cites Wide Residual Networks.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Wide Residual Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:21.401720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06c34cd4-ff0f-4392-bdc8-7c11e89520e2 · outbound

This paper cites an unresolved cited work.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Unresolved cited work

Reference 2008

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:20.748219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f108615-6fa8-463c-a1d4-a74d58e0a8e2 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Adam: A Method for Stochastic Optimization

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:20.317621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e7e1fd0-2441-46fd-951f-fa1fab33170b · outbound

This paper cites Ganju, Q.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Ganju, Q

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:20.063452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfdd736d-0126-48a6-ad58-6b96ff876683 · outbound

This paper cites Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Bridging the Gap: Differentially Private Equivariant Deep Learning for Medical Image Analysis

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:20.190674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1e9ad68-0d49-4442-806c-1dcf369b9a1a · outbound

This paper cites R\'enyi Differential Privacy of the Sampled Gaussian Mechanism.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers R\'enyi Differential Privacy of the Sampled Gaussian Mechanism

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:20.455712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d96c49e9-21c3-486a-b975-1b6df707f5df · outbound

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

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:20.903754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 165f3f58-950a-4ecc-972c-f5770c9a5fcd · outbound

This paper cites Unlocking High-Accuracy Differentially Private Image Classification through Scale.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Unlocking High-Accuracy Differentially Private Image Classification through Scale

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:19.931519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a34267c1-6f2d-469c-980c-eb164a627db0 · outbound

This paper cites Opacus: User-Friendly Differential Privacy Library in PyTorch.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Opacus: User-Friendly Differential Privacy Library in PyTorch

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:21.244346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95899387-8bb9-4ac4-8938-1b8a886aa122 · outbound

This paper cites Netzer, T.

End-to-End Differential Privacy in Training Deep Neural Network Classifiers Netzer, T

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T12:29:20.609900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.