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Paper Citation Record · LEDGER

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization

As of 15 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:1908.02734.

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

pith.paper-citation-record.v1
1908.02734 v4

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:45:51.821974Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:09:34.229493Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T10:22:26.206805Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy33
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5e6d33e6-eae5-4b52-93ae-7d2c62995714 · outbound

This paper cites Variance reduction for faster non-convex optimization.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Variance reduction for faster non-convex optimization

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6fe354e9-3077-46aa-83e3-39e9a32bca2d · outbound

This paper cites an unresolved cited work.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Unresolved cited work

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 53d8d700-3a29-480f-87ee-4e5bab8b44e4 · outbound

This paper cites M., Ramos, A., and Silva, P.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization M., Ramos, A., and Silva, P

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2db1a674-8151-4fe3-a8bc-120b4375670f · outbound

This paper cites Y., Burke, J.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Y., Burke, J

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 6ac53a97-a6f0-4455-b76b-85ff686171b7 · outbound

This paper cites Non-euclidean restricted memory level method for large-scale convex optimization.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Non-euclidean restricted memory level method for large-scale convex optimization

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 06e75f46-5e2c-43e9-a864-0d0006ab2505 · outbound

This paper cites an unresolved cited work.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Unresolved cited work

Reference 6

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raw_fallback, observed 2026-08-14T14:45:52.276698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 79b25706-c897-481e-9963-9a6126206f0b · outbound

This paper cites an unresolved cited work.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Unresolved cited work

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 90a37b0a-d265-4111-9228-3ba7587efc78 · outbound

This paper cites I., and Toint, P.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization I., and Toint, P

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation a1bd704d-e4cc-4615-8eeb-3ad242f60195 · outbound

This paper cites A first-order primal-dual algorithm for convex problems with applications to imaging.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization A first-order primal-dual algorithm for convex problems with applications to imaging

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.696147Z digest=sha256:030aa512836478427429fd91c9d96b67b1c456c7fc5346765e85a261213fe0c1

Observation 24730fdb-685d-46ff-93ff-e7d0831ec290 · outbound

This paper cites Optimal primal-dual methods for a class of saddle point problems.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Optimal primal-dual methods for a class of saddle point problems

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation af68026e-6f70-40ed-b78b-cd1d87de2cda · outbound

This paper cites Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Proximally Guided Stochastic Subgradient Method for Nonsmooth, Nonconvex Problems

Reference 11

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no resolver link, observed 2026-08-14T14:45:51.701312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:45:51.701312Z digest=sha256:e0b4dfeca13ad43922acbf3968475e9a16f0c33e41fd88acb10ccb26c59dee37

Observation 6357ab16-8291-40ba-9ba0-0a3eae3373ef · outbound

This paper cites Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity

Reference 12

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no resolver link, observed 2026-08-14T14:45:51.704667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 8476e2c2-23c8-44fc-bd32-5534b331c66f · outbound

This paper cites J., Lin, Z., and Zhang, T.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization J., Lin, Z., and Zhang, T

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 8fcb9db7-bcb2-482c-84e3-b0fe830962b7 · outbound

This paper cites Un-regularizing: approximate prox- imal point and faster stochastic algorithms for empirical risk minimiza tion.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Un-regularizing: approximate prox- imal point and faster stochastic algorithms for empirical risk minimiza tion

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation b9f1127e-34d3-478a-97cf-95e4d5203eda · outbound

This paper cites Stochastic first- and zeroth-order methods for nonconvex stochastic programming.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Stochastic first- and zeroth-order methods for nonconvex stochastic programming

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 2f737a02-a76c-498f-8576-2fc484f50d91 · outbound

This paper cites Accelerated gradient methods for nonconvex nonlinear and stochastic programming.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Accelerated gradient methods for nonconvex nonlinear and stochastic programming

Reference 16

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raw_fallback, observed 2026-08-14T14:45:52.205233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.715631Z digest=sha256:89a1ae9cd7997e04fa122e718c9f5e2315e892ca37063093ceb625cd6872fee2

Observation f907a2e8-2194-4312-a615-76f9a542a89c · outbound

This paper cites New proximal point algorithms for convex minimization.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization New proximal point algorithms for convex minimization

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation f6a68c31-39a5-4a98-8059-a6bc05d74925 · outbound

This paper cites A Primal-Dual Algorithm with Line Search for General Convex-Concave Saddle Point Problems.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization A Primal-Dual Algorithm with Line Search for General Convex-Concave Saddle Point Problems

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bd52e1b2-b746-4633-be93-bac5f9a36172 · outbound

This paper cites Complexity of a quadratic penalty accelerated inexact proximal point method for solving linearly constrained nonconvex composite programs.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Complexity of a quadratic penalty accelerated inexact proximal point method for solving linearly constrained nonconvex composite programs

Reference 19

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no resolver link, observed 2026-08-14T14:45:51.725782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1d1ab73d-fd39-4543-beac-cf53c19b7485 · outbound

This paper cites Lectures on Optimization Methods for Machine Learning.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Lectures on Optimization Methods for Machine Learning

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation e22e73d2-6625-473e-bb99-b81c7e749713 · outbound

This paper cites Communication-efficient algorithms for decentralized and stochastic optimization.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Communication-efficient algorithms for decentralized and stochastic optimization

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 7e230a6f-4010-438b-b0c9-4a0b444c5ba9 · outbound

This paper cites an unresolved cited work.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 916f4381-0269-4a95-9a01-30f04296a5b1 · outbound

This paper cites an unresolved cited work.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Unresolved cited work

Reference 23

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raw_fallback, observed 2026-08-14T14:45:52.158636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation bf274789-ef2b-48a2-8483-6f3e3959825b · outbound

This paper cites Accelerated Stochastic Algorithms for Nonconvex Finite-sum and Multi-block Optimization.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Accelerated Stochastic Algorithms for Nonconvex Finite-sum and Multi-block Optimization

Reference 24

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no resolver link, observed 2026-08-14T14:45:51.740756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:45:51.740756Z digest=sha256:406c2bbaa545076980035617326d0ead35bd9411106b27a01bb5aa632dee5e62

Observation fd278c0b-b467-4f45-9194-a530c72c7ab2 · outbound

This paper cites An optimal randomized incremental gradient method.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization An optimal randomized incremental gradient method

Reference 25

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raw_fallback, observed 2026-08-14T14:45:52.150131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation fc6667b8-2678-4b2f-b590-883213c0ea59 · outbound

This paper cites Algorithms for stochastic optimization with functional or expectation constraints.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Algorithms for stochastic optimization with functional or expectation constraints

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T14:45:51.746698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 87fe523c-fdaf-49b0-8ea0-2c64680be36b · outbound

This paper cites S., and Nesterov, Y.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization S., and Nesterov, Y

Reference 27

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation ab9d22ce-fd0b-4f07-b5ba-e20f1e8cfb22 · outbound

This paper cites Level-set methods for finite-sum constrained convex optimization.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Level-set methods for finite-sum constrained convex optimization

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.131770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.752857Z digest=sha256:6db826c6a448195574379815118da3cab22d5d33325109a1725c296561d612a4

Observation 7e1dbc90-5546-4766-8cff-2a3d5d82fef4 · outbound

This paper cites A level-set method for convex optimization with a feasible solution path.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization A level-set method for convex optimization with a feasible solution path

Reference 29

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raw_fallback, observed 2026-08-14T14:45:52.122141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.755988Z digest=sha256:b0cc0e7463b4ffffea833a092bb41e0b19feeb32546748d971071242a05be9ab

Observation c08cea4d-bd06-47b1-bb66-d38e028fe4d8 · outbound

This paper cites Proximally constrained methods for weakly convex optimization with weakly convex constraints.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Proximally constrained methods for weakly convex optimization with weakly convex constraints

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.759386Z digest=sha256:3cf0fd3bb1d499ca3ddb32b19d27220cdd2740f373cb94a8079804d50560f190

Observation e28f8683-39c5-43de-b6ee-39ec8a7b5c3a · outbound

This paper cites The fritz john necessary optimality conditions in the presence of equality and inequality constraints.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization The fritz john necessary optimality conditions in the presence of equality and inequality constraints

Reference 31

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raw_fallback, observed 2026-08-14T14:45:52.103045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

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Observation 69f32c44-09a2-4162-8d2d-1409c642c8e6 · outbound

This paper cites M., and Svaiter, B.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization M., and Svaiter, B

Reference 32

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.766047Z digest=sha256:47a403765ee3e1a0cca725461b0b4de1b59e22fe925c48e6f28a67d46f6c0777

Observation 20646c60-6c9f-4e8f-b7e7-f48e510b964d · outbound

This paper cites Prox-method with rate of convergence o(1/t) for variational ine quali- ties with lipschitz continuous monotone operators and smooth conv ex-concave saddle point problems.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Prox-method with rate of convergence o(1/t) for variational ine quali- ties with lipschitz continuous monotone operators and smooth conv ex-concave saddle point problems

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.086168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.769352Z digest=sha256:bb7bf827457e709c37ee1988c28cf8631d50b5ecc37c067e907faa06bbbaf1fb

Observation 34fbac09-90d4-48ab-b27a-c1dc30fa2a7c · outbound

This paper cites Lectures on convex optimization.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Lectures on convex optimization

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.077248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.772658Z digest=sha256:0849f3a286170c70c8d45110e2e374f7b41cafe9f628a96e0735c6f2f84c6e99

Observation 62dd0af3-c48e-4c3c-8cff-09ca5b28202b · outbound

This paper cites M., Liu, J., Scheinberg, K., and c, M.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization M., Liu, J., Scheinberg, K., and c, M

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.067822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.775773Z digest=sha256:aa75e2ed1ec897e07b434d90819b48d24eea63b2b7f737b5bf1d53f680756169

Observation b4595a15-936c-41d8-aee2-bd84dd2fe00b · outbound

This paper cites Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods

Reference 36

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T14:45:51.888115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.779227Z digest=sha256:a62df90b5b137d4b4582b98fc3f553e0c57ab7c0a39312db2522effbffd1601c

Observation 6e23db4b-f889-4b54-9e81-03985e7a0a3c · outbound

This paper cites ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-14T14:45:51.782198Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:45:51.782198Z digest=sha256:82a89f8182ebef2900606372c0056c9b8fba529713040bd2db59c7ed762ade84

Observation 64aa2fcd-1838-4501-974b-9a285d3af9c8 · outbound

This paper cites A general method of solving extremum problems.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization A general method of solving extremum problems

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.058117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.785102Z digest=sha256:a27a60a1e8f7bb2cacbc6c437f41236b911f524957560de28cd89ba4bc885c70

Observation 0798e986-addc-498e-bead-735e3394a043 · outbound

This paper cites an unresolved cited work.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-14T14:45:52.048727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.787882Z digest=sha256:9651f3b7745d2a330af95d3f2f8d6e184ce8142e6d08d20a7f8446538ff5556b

Observation fb3b905f-bf2c-4fe3-b4ef-70bfc2aafa98 · outbound

This paper cites Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Weakly-Convex Concave Min-Max Optimization: Provable Algorithms and Applications in Machine Learning

Reference 40

Resolution
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no resolver link, observed 2026-08-14T14:45:51.790614Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:45:51.790614Z digest=sha256:692696e9450a8dc9aa8a2b6326ae531a1db3cfeec4e5fa093315c21ff629a312

Observation 337a2582-5660-4e6a-a911-0570eaff9bb3 · outbound

This paper cites J., Hefny, A., Sra, S., P ´ocz´os, B., and Smola, A.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization J., Hefny, A., Sra, S., P ´ocz´os, B., and Smola, A

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.038921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.793438Z digest=sha256:3c12f92a1385c5576d35e40af9f4418ebde4834a5b1a2a6549e1b38223c618dd

Observation 9fa2943f-a826-43ad-a26f-d2babf879a8f · outbound

This paper cites T., and Uryasev, S.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization T., and Uryasev, S

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.029931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.796699Z digest=sha256:7c698aadf95c732f667526ada8429e03c0e0c16e3d4c47dc8b6db944193e3515

Observation f8139bba-959b-4d4b-842d-44a3c80f744f · outbound

This paper cites Lectures on Stochastic Program- ming: Modeling and Theory, Second Edition.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Lectures on Stochastic Program- ming: Modeling and Theory, Second Edition

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.019317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.800685Z digest=sha256:db3383c00b1c4700380b728ae9d2d2824123ea06fd13bee6c4fffced1079738e

Observation 5d5f21a8-30c3-40aa-8d79-c5e547ee5858 · outbound

This paper cites Penalty methods with stochastic approximation for stochastic nonlinear programming.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Penalty methods with stochastic approximation for stochastic nonlinear programming

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.007592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.804065Z digest=sha256:78468bab2127db26618513a2c7f9d21077b1dc977e0a896e87aa2f9b9fe37caf

Observation 43905812-9b87-4e67-b7d9-facee20df254 · outbound

This paper cites SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization SpiderBoost and Momentum: Faster Stochastic Variance Reduction Algorithms

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T14:45:51.807593Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:45:51.807593Z digest=sha256:f5ade8aeb7c01df4cee640b21558342178dec4bca5a232885d95ef63f0bd5603

Observation 3dca36bc-df53-4410-b06e-95f405ba8ede · outbound

This paper cites Iteration complexity of inexact augmented lagrangian methods for constrained convex programming.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Iteration complexity of inexact augmented lagrangian methods for constrained convex programming

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:51.996158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.811786Z digest=sha256:142f30e5548e9aa5ea8bb5192e9bb1d3acef0289379a63310ef75ca2b4960f1f

Observation 4860e765-9846-4668-9967-0c7117ad89f7 · outbound

This paper cites Online convex optimization with stochastic constraints.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Online convex optimization with stochastic constraints

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:51.985091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.815205Z digest=sha256:a006876cdd05293acb49b21927c8721ee7eec5797c0b8c5afa3ab6565475d5db

Observation fc98094d-04da-4ea1-b842-fff41972da42 · outbound

This paper cites Stochastic nested variance reduction for nonconvex optimization.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Stochastic nested variance reduction for nonconvex optimization

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:51.975096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.818911Z digest=sha256:097c291515f83ae8ef2bdd3dc6a15bfa28ec5ba72c779a4377615e5ef0982a2d

Observation 7b5cb843-3d16-4d78-9931-abcfcb98e082 · outbound

This paper cites Let xk :“ argminxPSXX Ψ kpxq.

Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization Let xk :“ argminxPSXX Ψ kpxq

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:51.964607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T14:45:51.821974Z digest=sha256:bc41b28e5678ef5d176f6af69fc4adc9333f38424dcfcfc0c04de7534b93ca16

Pith citing papers

Observation 95246e4e-e23f-4431-bd9d-81c68762cf52 · inbound

Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints cites this paper.

Quadratically Regularized Subgradient Methods for Weakly Convex Optimization with Weakly Convex Constraints Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization

Reference 6

Resolution
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no resolver link, observed 2026-08-14T15:09:34.229493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T15:09:34.229493Z digest=sha256:f3c1092a1714455fbd156a36918fe55a49a70f9db6285f0bff3c7e130650b632

Observation 42922a9b-e749-4530-8a5f-99f92fd74d81 · inbound

Inexact Proximal-Point Penalty Methods for Constrained Non-Convex Optimization cites this paper.

Inexact Proximal-Point Penalty Methods for Constrained Non-Convex Optimization Stochastic First-order Methods for Convex and Nonconvex Functional Constrained Optimization

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T10:22:26.210635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-14T10:22:25.480837Z digest=sha256:6fd2fdb48b1bb3ecc6c69f5f72cbd9440aef02092bbbaad1b826da5439c2c566