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Paper Citation Record · LEDGER

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness

As of 17 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2509.08726.

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

pith.paper-citation-record.v1
2509.08726 v3

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:18:52.296293Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

58 of 58 outbound references displayed

  • verified exact4
  • verified fuzzy34
  • unresolved20
  • parse uncertain0
  • malformed identifier0
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External citation measurements

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Outbound references

Observation 15744581-f5c3-4852-a8fb-6f457e0edf87 · outbound

This paper cites Chebyshev acceleration of iterative refinement.Numerical Algorithms, 66(3):591–608, 2014.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Chebyshev acceleration of iterative refinement.Numerical Algorithms, 66(3):591–608, 2014

Reference 1

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 24c4e379-f52d-4cba-99ba-75fde0c35d8b · outbound

This paper cites Stochastic gradient push for distributed deep learning.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Stochastic gradient push for distributed deep learning

Reference 2

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source=pdf_text observed=2026-08-15T16:18:51.998796Z digest=sha256:5c535226d347842e237f8a0681b79ffa33b7583d0ded9787d04ef365fee33fe7

Observation c0e9d81b-1cd9-43b8-9df8-4d4b2fe0be82 · outbound

This paper cites On the complexity of finite-sum smooth optimization under the Polyak– Lojasiewicz condition.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness On the complexity of finite-sum smooth optimization under the Polyak– Lojasiewicz condition

Reference 3

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Observation 4199bd02-d678-4fa2-b4fd-e7acfa465190 · outbound

This paper cites Generalized-smooth nonconvex optimization is as efficient as smooth nonconvex optimization.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Generalized-smooth nonconvex optimization is as efficient as smooth nonconvex optimization

Reference 4

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.015719Z digest=sha256:7e510a7327bcf9aeb08c007e6dc7cf4ffc52eaa4a0eeea74384982055843207f

Observation f06faafa-426c-4e24-a074-b2674be7880e · outbound

This paper cites Convergence of clipped-SGD for convex ( L0,L 1)-smooth optimization with heavy-tailed noise.arXiv preprint arXiv:2505.20817, 2025.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Convergence of clipped-SGD for convex ( L0,L 1)-smooth optimization with heavy-tailed noise.arXiv preprint arXiv:2505.20817, 2025

Reference 5

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-15T16:18:52.020939Z digest=sha256:e69b4ac9a6cd76276c0b0ffb8b93b898a73e4b9989f3c90653f199faeefb4e1a

Observation 6d48df81-0ecc-477c-8f0d-503d1dcda798 · outbound

This paper cites an unresolved cited work.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Unresolved cited work

Reference 6

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source=pdf_text observed=2026-08-15T16:18:52.026118Z digest=sha256:6c035209c2ca23e4a07f48ef0537b79b8220718bd99ead36534c9a3c8b5e2216

Observation 3e89b0cd-e87f-4110-b37e-38e86be44b1a · outbound

This paper cites Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness

Reference 7

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local_arxiv, observed 2026-08-15T16:18:52.623130Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.031537Z digest=sha256:0dc6b6ded01762b2c5699724d00ca00467edb2523fad1aab62bf66d2baf661a2

Observation 54d31de7-6655-419b-8784-ed4ac0009dde · outbound

This paper cites Robustness to unbounded smoothness of generalized SignSGD.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Robustness to unbounded smoothness of generalized SignSGD

Reference 8

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source=pdf_text observed=2026-08-15T16:18:52.036999Z digest=sha256:85f01a93ce31c7231c069f73f3034bad3bc736dd74c0eaf5d4b384993d85c087

Observation c34b958d-3014-4329-a7e1-8aaf85617a3a · outbound

This paper cites Momentum improves normalized SGD.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Momentum improves normalized SGD

Reference 9

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source=pdf_text observed=2026-08-15T16:18:52.042025Z digest=sha256:8faf3cd6f1fd2c75f056d099d01bf93a3eaf4b613581ed9e025946ca475153b7

Observation 320492b8-8c0d-48d6-9fd3-dfe4b0142754 · outbound

This paper cites On random graphs I.Publicationes Mathematicae Debrecen, 6(290-297): 18, 1959.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness On random graphs I.Publicationes Mathematicae Debrecen, 6(290-297): 18, 1959

Reference 10

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source=pdf_text observed=2026-08-15T16:18:52.046947Z digest=sha256:cdd75481ba95cad2e4173fe2f092ab7000fd317b84204ce005dec654f3195bfe

Observation 54998c09-9809-4eca-b48c-c66d0e28a62f · outbound

This paper cites SPIDER: Near-optimal non-convex optimization via stochastic path-integrated differential estimator.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness SPIDER: Near-optimal non-convex optimization via stochastic path-integrated differential estimator

Reference 11

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source=pdf_text observed=2026-08-15T16:18:52.052394Z digest=sha256:6a244e1812c20883e37c51b38f5d99a1e93d264704dc6604a02faa99dd683fa1

Observation 13ef42d6-13cc-44c9-9b6a-0567441cfeab · outbound

This paper cites Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Convergence of Clipped SGD on Convex $(L_0,L_1)$-Smooth Functions

Reference 12

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source=pdf_text observed=2026-08-15T16:18:52.057446Z digest=sha256:ee93ee910a18d975eb5bd22df4c39a54ede843e8214d3bf7bd21a178d8fa1bed

Observation 67ed2a30-fe9d-4087-80f7-35f9345faa1c · outbound

This paper cites Local SGD: Unified theory and new efficient methods.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Local SGD: Unified theory and new efficient methods

Reference 13

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source=pdf_text observed=2026-08-15T16:18:52.063461Z digest=sha256:1f19263dbad87c15b3f27ea81e714e37ae264136b174fa0ec9cb809dde8a9445

Observation 252e0755-74a7-489c-9e8a-f92c9186862d · outbound

This paper cites Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Methods for Convex $(L_0,L_1)$-Smooth Optimization: Clipping, Acceleration, and Adaptivity

Reference 14

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source=pdf_text observed=2026-08-15T16:18:52.068165Z digest=sha256:2d36ae0606eb51a9636496c0048c27555b2128b77ac1d45734d5a75d956099b5

Observation 4317441b-e931-4e99-a33f-48abfcfb39cc · outbound

This paper cites Beyond convexity: Stochastic quasi-convex optimization.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Beyond convexity: Stochastic quasi-convex optimization

Reference 15

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source=pdf_text observed=2026-08-15T16:18:52.073553Z digest=sha256:944b95e1bab52333d8a1f48f4018db269e55a2465581c4e2b82d0cc137870002

Observation 640a2d50-a0b4-42bc-aa0b-ed3872549d01 · outbound

This paper cites An optimal algorithm for decentralized finite-sum optimization.SIAM Journal on Optimization, 31(4):2753–2783, 2021.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness An optimal algorithm for decentralized finite-sum optimization.SIAM Journal on Optimization, 31(4):2753–2783, 2021

Reference 16

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source=pdf_text observed=2026-08-15T16:18:52.078729Z digest=sha256:d87f94b4cdbcebbcbf31e731994ad7a1a1a49b743ee64749141cab016d821143

Observation 1c1794a2-dbe4-4cb1-80f1-c58db376a369 · outbound

This paper cites Decentralized Relaxed Smooth Optimization with Gradient Descent Methods.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Decentralized Relaxed Smooth Optimization with Gradient Descent Methods

Reference 17

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local_arxiv, observed 2026-08-15T16:18:52.566444Z

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.083548Z digest=sha256:0f022289cd96b7895ae04595239f9ca1eaeec25c46e2830c009e6fc571d463c6

Observation 33e12f9b-5b32-45c4-b126-4cd6281c1c90 · outbound

This paper cites Communication-efficient algorithms under generalized smoothness assumptions.OpenReview, 2024.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Communication-efficient algorithms under generalized smoothness assumptions.OpenReview, 2024

Reference 18

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source=pdf_text observed=2026-08-15T16:18:52.088816Z digest=sha256:76411e5a45fedce4c1e266b7224e1cd295ba2f71245a8ac3067fe6875d9cd9be

Observation 8efa917b-f94c-4db7-b0b4-96ecce5ed0f9 · outbound

This paper cites Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Error Feedback under $(L_0,L_1)$-Smoothness: Normalization and Momentum

Reference 19

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source=pdf_text observed=2026-08-15T16:18:52.094632Z digest=sha256:f7f6353443ce55a537129bac35d596b5a766cb9ffa98ed83b41fd8a2e56eef65

Observation e22d5f05-ee0c-40f4-95c9-785f9af63d77 · outbound

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Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-15T16:18:52.099942Z digest=sha256:d90d6de7e2b10f290824fa418f86cb002e345f439fd162ffa6bbc93a3e961b29

Observation 772d20ca-c328-401d-9521-7fda7a88ae63 · outbound

This paper cites Lower bounds and optimal algorithms for non-smooth convex decentralized optimization over time-varying networks.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Lower bounds and optimal algorithms for non-smooth convex decentralized optimization over time-varying networks

Reference 21

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source=pdf_text observed=2026-08-15T16:18:52.104422Z digest=sha256:574a660f0db8913b4747b2614174a00e7ef5433f0753c493ff1120b7b1c2b7fc

Observation bb9d6e5a-3e85-4f2c-b19c-ca4ffcb096b3 · outbound

This paper cites Communication-efficient algorithms for decentralized and stochastic optimization.Mathematical Programming, 180(1):237–284, 2020.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Communication-efficient algorithms for decentralized and stochastic optimization.Mathematical Programming, 180(1):237–284, 2020

Reference 22

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source=pdf_text observed=2026-08-15T16:18:52.109216Z digest=sha256:576b370f8b451c3b6d64ceaf2f7e856b48d01499b33d0fd692c5802c6e5ca57f

Observation 2b988a20-932d-4da2-9efa-2e60d2342492 · outbound

This paper cites Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 2002.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Gradient-based learning applied to document recognition.Proceedings of the IEEE, 86(11):2278–2324, 2002

Reference 23

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source=pdf_text observed=2026-08-15T16:18:52.113824Z digest=sha256:d2aa15e52b62f44e7c8a3cb780d8564f2b165ef5185fbb256367b2989ae142b2

Observation 3389a44b-a505-41c6-aa60-d8d5ff49c7ff · outbound

This paper cites Convergence of adam under relaxed assumptions.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Convergence of adam under relaxed assumptions

Reference 24

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source=pdf_text observed=2026-08-15T16:18:52.118633Z digest=sha256:3feddc1122a14d5afbbd692014f35459504cb70183f6e4a55e9ec7cdad6ed1c5

Observation f43b3250-6e7b-4b1c-9157-697f6c55967b · outbound

This paper cites Variance reduced EXTRA and DIGing and their optimal acceleration for strongly convex decentralized optimization.Journal of Machine Learning Research, 23 (222):1–41, 2022.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Variance reduced EXTRA and DIGing and their optimal acceleration for strongly convex decentralized optimization.Journal of Machine Learning Research, 23 (222):1–41, 2022

Reference 25

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source=pdf_text observed=2026-08-15T16:18:52.124315Z digest=sha256:906983ec6e286d040209cf7e83424c5b98061743d6a22f1d96d8bc175e7cf0af

Observation 611c7a5a-6717-480d-b732-105e765a01fa · outbound

This paper cites Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Problem-Parameter-Free Decentralized Nonconvex Stochastic Optimization

Reference 26

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source=pdf_text observed=2026-08-15T16:18:52.129023Z digest=sha256:99751230e0659724d6dea4a28576adf72f23bb286d1ed75237eb76c426a4312f

Observation e7d1f9f0-c5dc-45c8-ac42-079bb693c22e · outbound

This paper cites Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Can decentralized algorithms outperform centralized algorithms? a case study for decentralized parallel stochastic gradient descent

Reference 27

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source=pdf_text observed=2026-08-15T16:18:52.134029Z digest=sha256:80b5d2c008fc62bdf6c9696ee20815580496938fdca726a83dd432f89defa131

Observation cbcc876a-9fc2-4f01-b667-17b18b7b3b84 · outbound

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

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Decentralized gradient-free methods for stochastic non-smooth non-convex optimization

Reference 28

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.139755Z digest=sha256:ad1d3ada3653ad2099543313f936807b1665ede985fbc2d65395d6ee85c51ff8

Observation 1a5f8f51-47ed-4132-acc0-39f20f2010c9 · outbound

This paper cites Stephen Morse.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Stephen Morse

Reference 29

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source=pdf_text observed=2026-08-15T16:18:52.144474Z digest=sha256:0a11e58fd5b7a572955da345e8dd144c4baac795a0710232f3f5ff8e944174aa

Observation f5595af1-73e4-4874-8cbb-34238db20bbb · outbound

This paper cites Decentralized convex finite-sum optimization with better dependence on condition numbers.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Decentralized convex finite-sum optimization with better dependence on condition numbers

Reference 30

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.150182Z digest=sha256:9dd19c7062e4a6fdf3760ea948217cbcacf62a5c055bf7ac2249373c3ad29c3c

Observation bc3e5b1d-5c10-43f1-ba8d-8d9dafd4b9a5 · outbound

This paper cites Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Nonconvex Stochastic Optimization under Heavy-Tailed Noises: Optimal Convergence without Gradient Clipping

Reference 31

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source=pdf_text observed=2026-08-15T16:18:52.155024Z digest=sha256:854431dee7e95f636af0193c3f53ca96687f7440106b6d3ef30b951146a4163e

Observation 1fbeb34c-a537-46a1-9c5f-a72ad2201bd7 · outbound

This paper cites Linear Convergence Rate in Convex Setup is Possible! Gradient Descent Method Variants under $(L_0,L_1)$-Smoothness.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Linear Convergence Rate in Convex Setup is Possible! Gradient Descent Method Variants under $(L_0,L_1)$-Smoothness

Reference 32

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source=pdf_text observed=2026-08-15T16:18:52.160174Z digest=sha256:b17bbd8edfcb6d9231c4237a036b586ee11cb13b007998e6c0835874ec851f8c

Observation 82dc5212-fba7-4754-916a-d178f6ec9c2f · outbound

This paper cites Optimal complexity in decentralized training.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Optimal complexity in decentralized training

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:53.136422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.165809Z digest=sha256:251812f2c0744cfd1e937dafdce93c8fd022cd945f62befa7b31aa94f7555133

Observation 6a9631db-eca7-4caf-a414-7ee77e07781d · outbound

This paper cites On the Complexity of Decentralized Smooth Nonconvex Finite-Sum Optimization.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness On the Complexity of Decentralized Smooth Nonconvex Finite-Sum Optimization

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:18:52.472809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.170669Z digest=sha256:0e751abec0c5fbf61e3b559a6b97115f08a8ce21842080c2e6bc2a71d0674413

Observation a33bb00f-abf6-45ac-8289-75634f09b93b · outbound

This paper cites an unresolved cited work.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:18:53.121160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.175588Z digest=sha256:64e8c3a5bf12ac5fa9dbbba39f56a1fb4d261976139534f5eac288ff8dfbc0ca

Observation a83f12d1-9ac1-4d6a-9c5b-9732252a79ee · outbound

This paper cites Decentralized Finite-Sum Optimization over Time-Varying Networks.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Decentralized Finite-Sum Optimization over Time-Varying Networks

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-15T16:18:52.447518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.180514Z digest=sha256:ba5ca17f45a061bb0e9d55cb51d0ae38808d9f07bc32fd26474ba91de697a9f1

Observation 0bbdcc1c-f58f-4574-8514-c35a160614a9 · outbound

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

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Distributed subgradient methods for multi-agent optimization

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:53.105428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.186561Z digest=sha256:fb3644264245b421eb90ef9414b4e843b2aba9e3577dd73701c450e999e0cdca

Observation fa33342c-1c6b-45df-9e87-796faa782105 · outbound

This paper cites Achieving geometric convergence for distributed optimization over time-varying graphs.SIAM Journal on Optimization, 27(4):2597–2633, 2017.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Achieving geometric convergence for distributed optimization over time-varying graphs.SIAM Journal on Optimization, 27(4):2597–2633, 2017

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-15T16:18:52.191527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:18:52.191527Z digest=sha256:976433ecddd82669f82c38aee1a72d1aff4e18f9dbc81bfefaa880e9a0cc2e52

Observation 92d3f03a-0c0d-478f-a757-6cfc14dec689 · outbound

This paper cites Network topology and communication- computation tradeoffs in decentralized optimization.Proceedings of the IEEE, 106(5):953–976, 2018.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Network topology and communication- computation tradeoffs in decentralized optimization.Proceedings of the IEEE, 106(5):953–976, 2018

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:53.079099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.196645Z digest=sha256:30ff429425fc32d6fb897cd496a4abc519b31b1294bff25f86f379513579e6d1

Observation 8c44dfc9-1d19-408c-ac98-d14c21cdf95b · outbound

This paper cites Harnessing smoothness to accelerate distributed optimization.IEEE Transactions on Control of Network Systems, 5(3):1245–1260, 2017.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Harnessing smoothness to accelerate distributed optimization.IEEE Transactions on Control of Network Systems, 5(3):1245–1260, 2017

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-15T16:18:52.201133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:18:52.201133Z digest=sha256:f0a9cc134ef7cb3fc8438a4e06664684d872572e7639a732087345990b949c16

Observation 5caa1409-3b7e-438d-a7ce-044e11946f5d · outbound

This paper cites Variance-reduced clipping for non-convex optimization.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Variance-reduced clipping for non-convex optimization

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:53.053369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.205400Z digest=sha256:f6be66f7ed0d67d26a0ff6f579c54e355da9c653caf28dcc2adc6470257d5448

Observation 73c9284b-6422-44f5-b834-6e63660541d5 · outbound

This paper cites An online optimization perspective on first-order and zero-order decentralized nonsmooth nonconvex stochastic optimization.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness An online optimization perspective on first-order and zero-order decentralized nonsmooth nonconvex stochastic optimization

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:53.037999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.209876Z digest=sha256:e4668308ddaf2f19f141bc53262c2e2cefa2194220da6057ae84ea7b8e794da6

Observation b2897452-77a4-4f82-b5ea-742d48d73840 · outbound

This paper cites Optimal algorithms for smooth and strongly convex distributed optimization in networks.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Optimal algorithms for smooth and strongly convex distributed optimization in networks

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:52.905414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.214572Z digest=sha256:15e82dcfbc77c90c7e2a2133b20f3c3566e0654bfe3b8becc60cb34e742e1188

Observation b5d6ca24-6007-4d3c-aae7-0aa3ecc37f98 · outbound

This paper cites Optimal gradient tracking for decentralized optimization.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Optimal gradient tracking for decentralized optimization

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:52.890711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.219378Z digest=sha256:df705db267d775d1e46bb7de81c5ca573e87e97adcaa5736e3676bb2e24f58e0

Observation ddf833cb-03cb-4d60-bdc1-fefe5a7b3a91 · outbound

This paper cites Revisiting stochastic proximal point methods: Generalized smoothness and similarity.arXiv preprint arXiv:2502.03401, 2025.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Revisiting stochastic proximal point methods: Generalized smoothness and similarity.arXiv preprint arXiv:2502.03401, 2025

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T16:18:52.225164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:18:52.225164Z digest=sha256:4526bdf31716d74dbbf58163ec19c6a66df7ba6dd93942c289b8e4c84baf0e33

Observation 99b3d212-33ac-47e1-98d1-be083402b3bc · outbound

This paper cites Toward a unified theory of gradient descent under generalized smoothness.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Toward a unified theory of gradient descent under generalized smoothness

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:52.875092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.229859Z digest=sha256:32af0ebbf0a5dce1803294e740fd41ef2ed7a262d145ab673e495eff91105bf1

Observation 6649d37f-e879-4295-95aa-76793e49d1c6 · outbound

This paper cites an unresolved cited work.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:18:52.858193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.234775Z digest=sha256:43f21923d37979586c5881bc773042de972e9f56b2d75ac26ac39c71294017a1

Observation bb3076e5-9ca8-4fc8-9d11-5aca0de026b8 · outbound

This paper cites Woodworth, Kumar Kshitij Patel, and Nati Srebro.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Woodworth, Kumar Kshitij Patel, and Nati Srebro

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:52.842871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.240490Z digest=sha256:f9750bd75f863a71ba3e217672c808afa4abd9c1f6046e8f6d317f4ebce0d9c4

Observation 71a098ab-02f6-4b80-a332-71c03a30fb51 · outbound

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

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T16:18:52.246183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:18:52.246183Z digest=sha256:098b9233730259ef2e0a67fded1aaf5b3734d8d5a06ea97ec1defcc14d041433

Observation 7dd9953e-da1f-4fbe-8135-4c17b76c00ca · outbound

This paper cites Trust region methods for nonconvex stochastic optimization beyond lipschitz smoothness.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Trust region methods for nonconvex stochastic optimization beyond lipschitz smoothness

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:52.826451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.251116Z digest=sha256:30536bb51f61d77e946a562fd17050d22034e62cd373e9a9316442098ebd00b1

Observation ad842f8f-f69e-455a-a027-fa72c403ef88 · outbound

This paper cites an unresolved cited work.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:18:52.809012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.256871Z digest=sha256:8156a7b3df60222896dffd52d7711de6c78914e7fbc77cf2ff9dd9770c2d69c8

Observation 501ddf07-8ab8-456c-9bff-bf6d83b95ad9 · outbound

This paper cites Multi-consensus decentralized accelerated gradient descent.Journal of Machine Learning Research, 24(306):1–50, 2023.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Multi-consensus decentralized accelerated gradient descent.Journal of Machine Learning Research, 24(306):1–50, 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:52.793398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.262528Z digest=sha256:e7feee7357dcc75338a0a4f6a203be443df52f5f9ef8de920e0af82ef916d6a6

Observation dffa6e4f-6d54-4e9f-98b2-386ef999aec0 · outbound

This paper cites Mirror Descent Under Generalized Smoothness.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Mirror Descent Under Generalized Smoothness

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T16:18:52.268751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:18:52.268751Z digest=sha256:4a8d755404ddfe5869d07d878b034995fa9910568ae74f7346912de1d7b434f6

Observation 84a60ff5-6a0f-4c04-8d2f-6d4c22078bad · outbound

This paper cites Revisiting optimal convergence rate for smooth and non-convex stochastic decentralized optimization.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Revisiting optimal convergence rate for smooth and non-convex stochastic decentralized optimization

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:52.775910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.274083Z digest=sha256:ed12590d60cfbc1dae29a19438f2c9696bbbf240d4fb1a22b736a2fcc288cb41

Observation 5c17b371-7c78-4cae-8c23-9820f91f6c1b · outbound

This paper cites Improved analysis of clipping algorithms for non-convex optimization.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Improved analysis of clipping algorithms for non-convex optimization

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:52.759396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.279917Z digest=sha256:60656492e6cebe2e979d35b7ebbd4d93318e9685052dc3c3fa9292b4ecab984d

Observation f85878fc-69bc-4273-af70-fef83c4dea4a · outbound

This paper cites 1 T T−1X t=0 ∇f( ¯xt) # ≤E 8(Φ0−Φ T ) 5ηT + 6ηLf 5 ≤ 8∆Φ 5ηT + 6ηLf 5 , where the last step holds due to E[Φ0−Φ T ] =E.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness 1 T T−1X t=0 ∇f( ¯xt) # ≤E 8(Φ0−Φ T ) 5ηT + 6ηLf 5 ≤ 8∆Φ 5ηT + 6ηLf 5 , where the last step holds due to E[Φ0−Φ T ] =E

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:52.743515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.285575Z digest=sha256:c090ebefa37065e5e6e98cafa0cd189cac8987197f66d83fb5780057d70d8f65

Observation 58b4a8d4-96d8-4d46-baaa-9bb5401a6091 · outbound

This paper cites an unresolved cited work.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:18:52.726931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.291335Z digest=sha256:2df38e82dc36cff6fe69877ed9db235936adec1f364916f089a0f8a7145d7f07

Observation f1dcde01-a23a-486d-8d3e-41ab6a91994b · outbound

This paper cites 1 T T−1X t=0 ∇f(x t i) # ≤E.

Decentralized Stochastic Nonconvex Optimization under the $(L_0,L_1)$-Smoothness 1 T T−1X t=0 ∇f(x t i) # ≤E

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:18:52.710709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T16:18:52.296293Z digest=sha256:2b75ead2f3d24d5126e456ac721523d1168932929590cbc294e31e97013fb20a

Pith citing papers

No inbound Pith citation observations are available.