Paper Citation Record · LEDGER

Distributed Learning with Adversarial Gradient Perturbations

As of 8 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2605.03313.

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

pith.paper-citation-record.v1
2605.03313 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-07T17:32:12.469438Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

32 of 32 outbound references displayed

verified exact1
verified fuzzy28
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c39b879-6e6f-468b-a04d-6488c5c6f131 · outbound

This paper cites Bartlett, Pradeep Ravikumar, and Martin J.

Distributed Learning with Adversarial Gradient Perturbations Bartlett, Pradeep Ravikumar, and Martin J

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.190190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3ef92687-f059-4b6a-b496-687cf4d5dbfb · outbound

This paper cites Byzantine stochastic gradient descent.

Distributed Learning with Adversarial Gradient Perturbations Byzantine stochastic gradient descent

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.187367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2b294612-b65c-4d55-82b3-8a3f5acbd505 · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent.

Distributed Learning with Adversarial Gradient Perturbations Machine learning with adversaries: Byzantine tolerant gradient descent

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.193204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da36aa80-e091-43df-80f0-2feaff1409e2 · outbound

This paper cites Stochastic first-order methods for convex and nonconvex functional constrained optimization.Mathematical Programming, 197(1):215– 279.

Distributed Learning with Adversarial Gradient Perturbations Stochastic first-order methods for convex and nonconvex functional constrained optimization.Mathematical Programming, 197(1):215– 279

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.184560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 377cfcf9-dd49-48c4-aa57-1f9a25b00d31 · outbound

This paper cites Convex optimization: Algorithms and complexity.Foundations and Trends in Machine Learning, 8(3-4):231–357.

Distributed Learning with Adversarial Gradient Perturbations Convex optimization: Algorithms and complexity.Foundations and Trends in Machine Learning, 8(3-4):231–357

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.197059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5ca90a43-1709-4dee-8460-fc8590a485f6 · outbound

This paper cites Efficient coreset selection with cluster-based methods.

Distributed Learning with Adversarial Gradient Perturbations Efficient coreset selection with cluster-based methods

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.151697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 37b03e30-ab6b-4c28-98ed-0f54b4085de3 · outbound

This paper cites Gradient descent: Robustness to adversarial corruption.

Distributed Learning with Adversarial Gradient Perturbations Gradient descent: Robustness to adversarial corruption

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.149077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4fab879b-7c3f-47ca-aee5-170a91e6709e · outbound

This paper cites Smooth optimization with approximate gradient.SIAM Journal on Optimization, 19(3):1171–1183.

Distributed Learning with Adversarial Gradient Perturbations Smooth optimization with approximate gradient.SIAM Journal on Optimization, 19(3):1171–1183

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.123074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 226b49b5-e0fc-439a-a2af-bff8e093e0c4 · outbound

This paper cites Optimal distributed online prediction using mini-batches.Journal of Machine Learning Research (JMLR), 13:165–202.

Distributed Learning with Adversarial Gradient Perturbations Optimal distributed online prediction using mini-batches.Journal of Machine Learning Research (JMLR), 13:165–202

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.125542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c1bf2644-3ab0-49e3-b9ac-e733d3a6e233 · outbound

This paper cites Nesterov.

Distributed Learning with Adversarial Gradient Perturbations Nesterov

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.134824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7974660c-7ce3-4e31-b3ad-f9f0b9da8f55 · outbound

This paper cites Handbook of Convergence Theorems for (Stochastic) Gradient Methods.

Distributed Learning with Adversarial Gradient Perturbations Handbook of Convergence Theorems for (Stochastic) Gradient Methods

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:16:38.024047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8694e186-2cbb-403f-b901-fa6d87d6b9ea · outbound

This paper cites A study of first-order methods with a determinis- tic relative-error gradient oracle.

Distributed Learning with Adversarial Gradient Perturbations A study of first-order methods with a determinis- tic relative-error gradient oracle

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.128522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2540c62f-0bb6-48d4-83c6-d863e0c97c6f · outbound

This paper cites Freris, and Hu Ding.

Distributed Learning with Adversarial Gradient Perturbations Freris, and Hu Ding

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.140041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d562a57d-6241-4b64-aa4e-f4149e883027 · outbound

This paper cites How to learn when data gradually reacts to your model.

Distributed Learning with Adversarial Gradient Perturbations How to learn when data gradually reacts to your model

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.235340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 35c5238d-1a6c-4649-907f-d0095c7a75a8 · outbound

This paper cites Revisiting frank-wolfe: Projection-free sparse convex optimization.

Distributed Learning with Adversarial Gradient Perturbations Revisiting frank-wolfe: Projection-free sparse convex optimization

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.154404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a723cdf-90ee-4a11-a4e0-fb97f6cd19f2 · outbound

This paper cites Learning from history for byzantine robust optimization.

Distributed Learning with Adversarial Gradient Perturbations Learning from history for byzantine robust optimization

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:03:20.390513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 223710ba-ee92-44b7-b8bc-57e1a02dcb56 · outbound

This paper cites Kerger, Marco Molinaro, Hongyi Jiang, and Amitabh Basu.

Distributed Learning with Adversarial Gradient Perturbations Kerger, Marco Molinaro, Hongyi Jiang, and Amitabh Basu

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:03:20.383400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8abbc124-3a70-4aa1-8da6-07bd9296d25f · outbound

This paper cites Sub-sampled cubic regularization for non-convex optimization.

Distributed Learning with Adversarial Gradient Perturbations Sub-sampled cubic regularization for non-convex optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:03:20.395698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 29e6be68-a461-44de-ac20-b9a1b27cd7f5 · outbound

This paper cites Springer.

Distributed Learning with Adversarial Gradient Perturbations Springer

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T01:03:20.369401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 34530001-226b-49e5-b705-429c881a0614 · outbound

This paper cites Learning rates for stochastic gradient descent with nonconvex objectives.IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 43(12):4505–4511.

Distributed Learning with Adversarial Gradient Perturbations Learning rates for stochastic gradient descent with nonconvex objectives.IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 43(12):4505–4511

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.230178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4fc8b360-bb1e-4309-a16f-1f63ee71a39f · outbound

This paper cites Federated learning: Challenges, methods, and future directions.IEEE Signal Processing Magazine, 37(3):50– 60.

Distributed Learning with Adversarial Gradient Perturbations Federated learning: Challenges, methods, and future directions.IEEE Signal Processing Magazine, 37(3):50– 60

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.224972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e6fb8621-0c7c-43b8-8c93-0f4efe0e65f0 · outbound

This paper cites Bilmes, and Jure Leskovec.

Distributed Learning with Adversarial Gradient Perturbations Bilmes, and Jure Leskovec

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.221970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2168fe28-f577-44b5-a539-797ee7eaae58 · outbound

This paper cites MIT Press.

Distributed Learning with Adversarial Gradient Perturbations MIT Press

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.232460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 936f4475-cd01-47d4-9780-f7e5b18cd8b0 · outbound

This paper cites Juditsky, Guanghui Lan, and Alexander Shapiro.

Distributed Learning with Adversarial Gradient Perturbations Juditsky, Guanghui Lan, and Alexander Shapiro

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.210756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67e03282-6a90-4212-936a-887ec12879a8 · outbound

This paper cites John Wiley & Sons.

Distributed Learning with Adversarial Gradient Perturbations John Wiley & Sons

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.213709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e5e08a18-64e9-4386-a2da-6068af061883 · outbound

This paper cites Nesterov.

Distributed Learning with Adversarial Gradient Perturbations Nesterov

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.216392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2fa1d347-9db8-458d-9d34-bd02ccb50038 · outbound

This paper cites Tsybakov.

Distributed Learning with Adversarial Gradient Perturbations Tsybakov

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.207763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 07ea530b-db5f-4e73-88c0-fe580b3b9b6f · outbound

This paper cites an unresolved cited work.

Distributed Learning with Adversarial Gradient Perturbations Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-05-27T00:58:40.203328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5b574f40-02df-4321-96ed-273325af64c7 · outbound

This paper cites an unresolved cited work.

Distributed Learning with Adversarial Gradient Perturbations Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-05-27T00:58:40.219161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 93e22392-e671-4aa4-895e-2cece917cd5f · outbound

This paper cites if-branch.

Distributed Learning with Adversarial Gradient Perturbations if-branch

Reference 30

Resolution: malformed identifier; raw_fallback, observed 2026-05-27T00:58:40.227472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 16c7e520-7dfe-46fb-b4b6-6848332e0079 · outbound

This paper cites by magic.

Distributed Learning with Adversarial Gradient Perturbations by magic

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.160343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 169cdcf1-6158-4fc8-8464-a0b1c25c00ed · outbound

This paper cites 9”, “13”, “17.

Distributed Learning with Adversarial Gradient Perturbations 9”, “13”, “17

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-27T00:58:40.200728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.