Paper Citation Record · LEDGER

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization

As of 8 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2607.25785.

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

pith.paper-citation-record.v1
2607.25785 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:34:40.851607Z

measured 37 of 37 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

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Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact3
verified fuzzy0
unresolved32
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External citation measurements

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Outbound references

Observation 1445bab2-2e25-4313-8596-1b791dc5e690 · outbound

This paper cites Convergence of ﬁrst-order methods for constrained nonconvex optimization with dependent data.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Convergence of ﬁrst-order methods for constrained nonconvex optimization with dependent data

Reference 1

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Observation 17a92a89-1d99-433f-95d9-440f58928d30 · outbound

This paper cites Duchi, Dylan J.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Duchi, Dylan J

Reference 2

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Observation 81fdf752-988e-407c-9774-5d65e1e7dc62 · outbound

This paper cites Blanchet and Peter W.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Blanchet and Peter W

Reference 3

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Observation 7789cf76-42e2-4f65-bc2d-3bfe3a9e15bf · outbound

This paper cites High-probability bounds for non-convex stochastic optimization with heavy tails.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization High-probability bounds for non-convex stochastic optimization with heavy tails

Reference 4

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Observation d114afdd-579b-4a0a-9395-a820b9be0d35 · outbound

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

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Momentum-based variance reduction in non- convex SGD

Reference 5

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Observation cfc2a41a-afa7-4b91-9ae5-9d016207dd4d · outbound

This paper cites Adapting to mixing time in stochastic optimiza- tion with Markovian data.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Adapting to mixing time in stochastic optimiza- tion with Markovian data

Reference 6

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Observation 0b5937fe-1f0d-4b97-871a-f2538522ad7c · outbound

This paper cites Duchi, Alekh Agarwal, Mikael Johansson, and Michael I.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Duchi, Alekh Agarwal, Mikael Johansson, and Michael I

Reference 7

Resolution: verified exact; doi, observed 2026-08-01T01:36:15.802029Z

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Observation 539f47f4-6f47-42bf-ac3d-5ae2295ad39c · outbound

This paper cites Stochastic gradient descent under Markovian sampling schemes.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Stochastic gradient descent under Markovian sampling schemes

Reference 8

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Observation 03e68795-9def-4533-a0cc-1242b797cc28 · outbound

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

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization SPIDER: Near-optimal non- convex optimization via stochastic path-integrated diﬀerential estimator

Reference 9

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Observation 9913ccf3-a111-4e05-9023-b50afaf85575 · outbound

This paper cites An algorithm for quadratic programming.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization An algorithm for quadratic programming

Reference 10

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Observation 59554f98-fe3b-46fa-8c3f-d1a71d7e3dff · outbound

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Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Unresolved cited work

Reference 11

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Observation b17678a4-e57c-4473-8d83-d80b4ad2d05d · outbound

This paper cites Stochastic optimization with heavy-tailed noise via accelerated gradient clipping.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Stochastic optimization with heavy-tailed noise via accelerated gradient clipping

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T01:34:40.791585Z

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Observation d8c6a4d2-e070-431a-8884-e01c3f97c2b5 · outbound

This paper cites Variance-reduced and projection-free stochastic optimization.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Variance-reduced and projection-free stochastic optimization

Reference 13

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Observation 954fa53b-3367-4d3f-a3c4-84bdb713fc99 · outbound

This paper cites Revisiting Frank–Wolfe: Projection-free sparse convex optimization.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Revisiting Frank–Wolfe: Projection-free sparse convex optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:34:40.796576Z

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Observation 0f8cc516-5469-4a78-8232-234727ac2bd4 · outbound

This paper cites Non-asymptotic analy- sis of biased stochastic approximation scheme.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Non-asymptotic analy- sis of biased stochastic approximation scheme

Reference 15

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Observation 628e8068-df46-41a3-a51b-9eacc5f726f9 · outbound

This paper cites Stochastic-constrained stochastic optimization with Markovian data.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Stochastic-constrained stochastic optimization with Markovian data

Reference 16

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Observation 19de6938-5290-4b0b-b7eb-9ae043dc1612 · outbound

This paper cites Convergence Rate of Frank-Wolfe for Non-Convex Objectives.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Convergence Rate of Frank-Wolfe for Non-Convex Objectives

Reference 17

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Observation d380a10e-ce97-473e-a194-d2018dd65f03 · outbound

This paper cites Levin and Yuval Peres.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Levin and Yuval Peres

Reference 18

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Observation c5273543-5df1-4309-8b2c-0cba2f87ca51 · outbound

This paper cites Levy, Ali Kavis, and Volkan Cevher.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Levy, Ali Kavis, and Volkan Cevher

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T01:34:40.808276Z

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Observation 9f75571c-0291-4e50-a0be-61ecb53fff03 · outbound

This paper cites Stochastic conditional gradient meth- ods: From convex minimization to submodular maximization.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Stochastic conditional gradient meth- ods: From convex minimization to submodular maximization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T01:34:40.810428Z

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Observation eb4199d4-e019-42c1-8ec1-a4f4b0b58df1 · outbound

This paper cites Boosted Stochastic Frank-Wolfe for Constrained Nonconvex Optimization.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Boosted Stochastic Frank-Wolfe for Constrained Nonconvex Optimization

Reference 21

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Observation 36baf953-333f-46c6-b742-169d8b79099f · outbound

This paper cites Stochastic Frank–Wolfe: Uniﬁed analysis and zoo of spe- cial cases.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Stochastic Frank–Wolfe: Uniﬁed analysis and zoo of spe- cial cases

Reference 22

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Observation a58b1166-28ab-4ad2-b6c8-4098d936a1ff · outbound

This paper cites Stochastic variance-reduced policy gradient.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Stochastic variance-reduced policy gradient

Reference 23

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Observation c36328ab-f3f1-4294-9407-5ef3ff6494f1 · outbound

This paper cites A hybrid stochastic policy gradient algorithm for reinforcement learning.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization A hybrid stochastic policy gradient algorithm for reinforcement learning

Reference 24

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Observation b96528c0-7fdf-4935-bb76-a557a2290ef4 · outbound

This paper cites Reddi, Suvrit Sra, Barnabás Póczos, and Alexander J.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Reddi, Suvrit Sra, Barnabás Póczos, and Alexander J

Reference 25

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Observation 0f2431c8-efaf-431b-bf60-21d016edfd98 · outbound

This paper cites Methods for optimization problems with Markovian stochasticity and non-Euclidean geom- etry.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Methods for optimization problems with Markovian stochasticity and non-Euclidean geom- etry

Reference 26

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Observation 49934a83-2de0-44c7-9bb6-fd2458532334 · outbound

This paper cites On Markov chain gradient descent.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization On Markov chain gradient descent

Reference 27

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Observation e88829e2-a550-44d9-b4b7-0c72ab995dd4 · outbound

This paper cites Learning from a single markovian trajectory: Optimality and variance reduction.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Learning from a single markovian trajectory: Optimality and variance reduction

Reference 28

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Observation 412fe694-f84b-4a84-a2c7-b57526b804e0 · outbound

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Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Stability and generaliza- tion for Markov chain stochastic gradient methods

Reference 29

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Observation 3163d563-7d98-4d9a-a17c-2d418c501166 · outbound

This paper cites Adaptive Extrapolated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Adaptive Extrapolated Proximal Gradient Methods with Variance Reduction for Composite Nonconvex Finite-Sum Minimization

Reference 30

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Observation 9516b107-f874-4cb1-b56e-9017889e2f6c · outbound

This paper cites Adaptive Lipschitz-free conditional gradient methods for stochastic com- posite nonconvex optimization.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Adaptive Lipschitz-free conditional gradient methods for stochastic com- posite nonconvex optimization

Reference 31

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Observation cab4ab87-3bb1-4a87-9574-f96f2676c630 · outbound

This paper cites Stochastic Recursive Momentum for Policy Gradient Methods.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Stochastic Recursive Momentum for Policy Gradient Methods

Reference 32

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Observation 6668da21-cb54-473d-b44f-000fdc3d0a29 · outbound

This paper cites Why gradient clipping accel- erates training: A theoretical justiﬁcation for adaptivity.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Why gradient clipping accel- erates training: A theoretical justiﬁcation for adaptivity

Reference 33

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Observation 03ec8e9b-3024-419a-893b-c46fa890d8d8 · outbound

This paper cites Stochastic variance-reduced prox-linear algorithms for non- convex composite optimization.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Stochastic variance-reduced prox-linear algorithms for non- convex composite optimization

Reference 34

Resolution: verified exact; doi, observed 2026-08-01T01:36:15.216298Z

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Observation efe184cc-598e-4fa3-96b2-2653f60edde1 · outbound

This paper cites the base coeﬃcient system.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization the base coeﬃcient system

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T01:34:40.845806Z

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Observation a7c93649-72a5-4871-a7bc-f21ebe39613a · outbound

This paper cites Moreover, max(β1/3 T ,ϑ 2, 0) ϑ = β1/3 T ϑ = β1/6 T +β1/3 T = O (T + 1)−1/6.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Moreover, max(β1/3 T ,ϑ 2, 0) ϑ = β1/3 T ϑ = β1/6 T +β1/3 T = O (T + 1)−1/6

Reference 36

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Observation 9d058d84-ea17-465d-ba7a-1317f3f7df0b · outbound

This paper cites Thus the instance numerically exercises smooth nonconvexity, and h(x) = 0.02kxk1 is nonzero, convex, and nonsmooth.

Variance-Reduced Conditional Gradient Methods under Markovian Sampling for Nonconvex Composite Optimization Thus the instance numerically exercises smooth nonconvexity, and h(x) = 0.02kxk1 is nonzero, convex, and nonsmooth

Reference 37

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