Paper Citation Record · LEDGER

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking

As of 10 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2604.21368.

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

pith.paper-citation-record.v1
2604.21368 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-09T21:50:51.328565Z

measured 34 of 34 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.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact6
verified fuzzy28
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d2138dad-6989-42b0-ab07-65e555d86bf6 · outbound

This paper cites Distributed subgradient methods for multi- agent optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Distributed subgradient methods for multi- agent optimization

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.925568Z

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.

Observation 5be94176-e678-4f46-a859-e53e77f8b020 · outbound

This paper cites On the linear convergence of the ADMM in decentralized consensus optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking On the linear convergence of the ADMM in decentralized consensus optimization

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.929465Z

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.

Observation 7194cd2f-a7d2-4bb2-994a-8fef69c9421b · outbound

This paper cites Linear convergence rate of a class of distributed augmented Lagrangian algorithms.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Linear convergence rate of a class of distributed augmented Lagrangian algorithms

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.933003Z

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.

Observation 44ae6258-9507-4d60-9480-555a892968d0 · outbound

This paper cites EXTRA: An exact first-order algorithm for decentralized consensus optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking EXTRA: An exact first-order algorithm for decentralized consensus optimization

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.937026Z

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.

Observation 6065ebe0-f019-4feb-8f36-24b4eef8b4f1 · outbound

This paper cites Exact diffusion for de- centralized optimization and learning—Part I: Algorithm and analysis.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Exact diffusion for de- centralized optimization and learning—Part I: Algorithm and analysis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.940969Z

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.

Observation 0280d3eb-7ad8-415d-9a80-f226bec7bbea · outbound

This paper cites Harnessing smoothness to accelerate distributed optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Harnessing smoothness to accelerate distributed optimization

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.836374Z

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.

Observation c34e02e4-dfb6-4f3f-9944-2658ae4f7bc1 · outbound

This paper cites Achieving geometric convergence for distributed optimization over time-varying graphs.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Achieving geometric convergence for distributed optimization over time-varying graphs

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.862989Z

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.

Observation ff95af85-d65d-491c-aca4-7fb44f60f1d9 · outbound

This paper cites Distributed stochastic gradient tracking methods.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Distributed stochastic gradient tracking methods

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.844138Z

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.

Observation 4501bcdc-2b15-4671-b834-47b85a60911a · outbound

This paper cites A primer on zeroth-order optimization in signal processing and machine learning: Principals, recent advances, and applications.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking A primer on zeroth-order optimization in signal processing and machine learning: Principals, recent advances, and applications

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.847832Z

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.

Observation 7b8e5f15-171b-4be8-bbb9-015ca205d044 · outbound

This paper cites Random gradient-free minimization of convex functions.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Random gradient-free minimization of convex functions

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.870794Z

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.

Observation 9b953e5a-8115-4d21-8b4e-38b1e68bd3a6 · outbound

This paper cites Fine-tuning language models with just forward passes.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Fine-tuning language models with just forward passes

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.890522Z

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.

Observation c2e109e1-37a5-4189-87f1-2bf2376f47a4 · outbound

This paper cites Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Second-Order Fine-Tuning without Pain for LLMs:A Hessian Informed Zeroth-Order Optimizer

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:03.707597Z

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.

Observation f540b94b-0546-4952-ac79-c3e2c8260c2a · outbound

This paper cites Why does adaptive zeroth-order optimization work?.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Why does adaptive zeroth-order optimization work?

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:03.710735Z

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.

Observation 33bdb1f4-3b13-4ff4-8eb9-fbd3a84eaa7a · outbound

This paper cites ZOO: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking ZOO: Zeroth order optimization based black-box attacks to deep neural networks without training substitute models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.910866Z

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.

Observation 6f88429e-85f2-4773-934e-2e98838f1fc5 · outbound

This paper cites Global convergence of policy gradient methods for the linear quadratic regulator.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Global convergence of policy gradient methods for the linear quadratic regulator

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.840333Z

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.

Observation 348f4ee7-2357-450c-b00e-65ca7cc95f97 · outbound

This paper cites FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking FZOO: Fast Zeroth-Order Optimizer for Fine-Tuning Large Language Models towards Adam-Scale Speed

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:03.699750Z

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.

Observation b6296ffa-974d-4b37-a4e0-d1814eeb1854 · outbound

This paper cites Distributed zero-order algorithms for nonconvex multiagent optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Distributed zero-order algorithms for nonconvex multiagent optimization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.866724Z

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.

Observation bf1fa00d-c792-48a9-8bab-af137774d1d6 · outbound

This paper cites Zeroth-order algorithms for stochastic distributed nonconvex optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Zeroth-order algorithms for stochastic distributed nonconvex optimization

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.906992Z

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.

Observation 7ab731d1-1970-4f23-8ad3-afba0ff8b32e · outbound

This paper cites Communication-efficient stochastic zeroth-order optimization for fed- erated learning.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Communication-efficient stochastic zeroth-order optimization for fed- erated learning

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.914815Z

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.

Observation 042b8db4-7b2e-4e36-a686-7ce9147634a9 · outbound

This paper cites Adaptive and communication- efficient zeroth-order optimization for distributed internet of things.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Adaptive and communication- efficient zeroth-order optimization for distributed internet of things

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.921884Z

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.

Observation edd7560a-1a42-4f40-b016-a7c43f836eca · outbound

This paper cites Zeroth-Order Feedback-Based Optimization for Distributed Demand Response.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Zeroth-Order Feedback-Based Optimization for Distributed Demand Response

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:03.703262Z

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.

Observation d7396d68-d0ae-4683-85cd-fd4f6b0e8199 · outbound

This paper cites Heterogeneous distributed zeroth-order nonconvex optimization with communication compression.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Heterogeneous distributed zeroth-order nonconvex optimization with communication compression

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:03.714144Z

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.

Observation d04d3221-cab7-4b15-950f-3f3649941fc8 · outbound

This paper cites Distributed zeroth-order gradi- ent tracking for weakly convex optimization over unbalanced graphs.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Distributed zeroth-order gradi- ent tracking for weakly convex optimization over unbalanced graphs

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.898970Z

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.

Observation 28b87a1a-a07e-43fb-89d5-222297932561 · outbound

This paper cites Compressed distributed zeroth-order gradient tracking for nonconvex optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Compressed distributed zeroth-order gradient tracking for nonconvex optimization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.903176Z

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.

Observation 331903a0-9657-4921-a669-f5224a911b7f · outbound

This paper cites Single point-based distributed zeroth- order optimization with a non-convex stochastic objective function.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Single point-based distributed zeroth- order optimization with a non-convex stochastic objective function

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.859195Z

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.

Observation cc304e7d-b5fa-4285-8f3f-92fd873c7b3b · outbound

This paper cites Decentralized gradient-free meth- ods for stochastic non-smooth non-convex optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Decentralized gradient-free meth- ods for stochastic non-smooth non-convex optimization

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.851485Z

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.

Observation 6a7774ae-155e-4b5f-b3d8-fbf54975823b · outbound

This paper cites Variance-reduced gradient estimator for nonconvex zeroth-order distributed optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Variance-reduced gradient estimator for nonconvex zeroth-order distributed optimization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.855446Z

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.

Observation 575249a1-eabb-433c-ac90-7b69ab347ba7 · outbound

This paper cites Zeroth-order stochastic variance reduction for nonconvex optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Zeroth-order stochastic variance reduction for nonconvex optimization

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.918687Z

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.

Observation 665af8de-c764-4cff-8295-7d6ac0541c46 · outbound

This paper cites Improved zeroth-order vari- ance reduced algorithms and analysis for nonconvex optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Improved zeroth-order vari- ance reduced algorithms and analysis for nonconvex optimization

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.894780Z

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.

Observation 9930eb46-2cdf-4821-90b6-a5d1c1e76399 · outbound

This paper cites ZIVR: An incremental variance reduc- tion technique for zeroth-order composite problems.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking ZIVR: An incremental variance reduc- tion technique for zeroth-order composite problems

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:26:03.720706Z

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.

Observation 7e3929b0-2d28-4115-916d-050be4578d49 · outbound

This paper cites Momentum-based variance reduction in non-convex SGD.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Momentum-based variance reduction in non-convex SGD

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.878725Z

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.

Observation 655f10f1-f0da-4dac-8fe8-0258d40641cc · outbound

This paper cites ZO-AdaMM: Zeroth-order adaptive momentum method for black-box optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking ZO-AdaMM: Zeroth-order adaptive momentum method for black-box optimization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.874762Z

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.

Observation 5e6a1ddc-738d-4ca4-bb4d-d69ea7ba49ea · outbound

This paper cites Accelerated zeroth-order and first-order momentum methods from mini to minimax optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Accelerated zeroth-order and first-order momentum methods from mini to minimax optimization

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.886308Z

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.

Observation 6105f72f-07a8-40d4-8031-ca031cffc738 · outbound

This paper cites Momentum-based zeroth-order gradient method for distributed black-box optimization.

Distributed Zeroth-Order Optimization with Rademacher Perturbations and Momentum Gradient Tracking Momentum-based zeroth-order gradient method for distributed black-box optimization

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-23T15:28:07.882147Z

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.

Pith citing papers

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