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Paper Citation Record · LEDGER

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

As of 16 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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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=2026-08-14T14:45:51.667300Z digest=sha256:234ef04b89241394bcf76def44127fbadd8f335a48444fba75143ff9fe4c42af

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.

source=pdf_text observed=2026-08-14T14:45:51.682679Z digest=sha256:7f2600df3b6f978bd072dc579f0c4bb86571ec8bf6cc31bd7f56fd8620d69cc2

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.

source=pdf_text observed=2026-08-14T14:45:51.690170Z digest=sha256:9fc4427c833e8a4183b64d254ec7ef07821c9c48627d9a2a18a16238971ec447

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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verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.251391Z

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=sha256:143616ba992b6691ad48eba8ebd64120162f93728be25b4a74be4fb0615a202a

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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raw_fallback, observed 2026-08-14T14:45:52.241952Z

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=2026-08-14T14:45:51.698742Z digest=sha256:e0e1a3affe7b5d66b5c38e84e86fa1248ff3d79d041ca16210dfe93495aff52e

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:45:51.701312Z digest=sha256:57530bee994a5befcb7da95291279a724e3bf749dbc7c7b3a811365f84f79f3d

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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raw_fallback, observed 2026-08-14T14:45:52.222749Z

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=2026-08-14T14:45:51.710181Z digest=sha256:de02a168e2b75817468091f0c68323675bb2ff019c5924503190990bbc704688

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.

source=pdf_text observed=2026-08-14T14:45:51.712893Z digest=sha256:5f1f5a435ab7fa43cb64080f808cbbb60c9c41c9a86095fb957b778dfbbb0f6b

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:d7f7b039ad47c245283769446bc5e12d38f08381f1025f8d206a113fe43332e9

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.

source=pdf_text observed=2026-08-14T14:45:51.725782Z digest=sha256:3841f067795ffb21289d569cfc2c89753dbe891413b847be78fe58836e2e94db

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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raw_fallback, observed 2026-08-14T14:45:52.187181Z

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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raw_fallback, observed 2026-08-14T14:45:52.177661Z

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.

source=pdf_text observed=2026-08-14T14:45:51.737851Z digest=sha256:f4eb2a55f1b92215aed531b98a507c807a7e27edd3d24db87c3d59be2a968f75

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:e2c3e4a4d79e6e80e99019be649a5a7c2e9147ba2d83d2d9042815675eb78bbe

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.

source=pdf_text observed=2026-08-14T14:45:51.746698Z digest=sha256:1a3a3e572d037b42575b076337f9ed9ec663d693778b4035a8e1be65f51e4ace

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
raw_fallback, observed 2026-08-14T14:45:52.141466Z

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=2026-08-14T14:45:51.749736Z digest=sha256:3290722e58e26cbd07997651da21c1fb0e5cb3ce274624a849694925abc99400

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
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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:b64761018a9b727b7a744cc80ce2586e84c23513251bdbc9ecf7d862dcf21015

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

Resolution
verified fuzzy
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=sha256:52c4336b68d71b02d3fac2b150768eb39f4a7b9d29b628133cd865b329f313ab

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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raw_fallback, observed 2026-08-14T14:45:52.112473Z

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=sha256:2696da8048f8e1bb1dec3abdec8ffa103950cdf6647150cceb070b8411c31c09

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.

source=pdf_text observed=2026-08-14T14:45:51.762782Z digest=sha256:d49228a21baf0c27867e4b20cc26c50fc48cea1632842badfe5f6ca7e9f7fbbd

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T14:45:52.094694Z

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:af8ee428ffd2bde502dfb275b07004f648b27c98938009a19ff741679c30ca34

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:b27f75d0f87ae25e5f6b531c8c8192a3a5e6fba3ba7d254a9e7a8ffd39b8ed50

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=sha256:46f72574aa91e153bf74e14e959b2250bc4de64524ec5b7dcc0bcd3187bc0eae

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

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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=sha256:184027fa1292d00ad8f0173eea008821d678bad55671747f66cfb34a103e08dd

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:dae659b019875ae58c68cdf7a8a01b5133860b90526d6cd89d559b936edc293f

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:45:51.782198Z digest=sha256:e5cf15225c0e058566cc6f823632aa02d83855ccc9fa206b66f89ba80b82e430

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:e6e220108e4a7bfe442b519732c287fdd21d08537ac2639dca0c2249e558412d

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:d31c3ba784fb665e3429f7627eae7269db1897a6ddb984f5dec8d17a9a37a28f

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=sha256:65290aa69b7a6a3f307df7f3b9596891ac038768b1788844e42738e48f64ce0a

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=sha256:13a7b1d6743aa76f4413cb9bc3f547fdaec887b5aa68dc43f34f18dae1129da7

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=sha256:636e0155a17f783580c1726fc873a04ccaaeccbdc5895d3f21926cd1f8589cf7

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=sha256:86d94378ff6e9b8f17f552a7212fadf81ba8390ffdbf49d7a7ec49966013454d

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=sha256:0ec6a8d6a82aa7fe8ad11d99bd3bdd1a0979febce7c63c92b2cf09578a963c8d

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=sha256:882ae7ba8e4d28212133d5a62e20fe7b2c870052b31f90447a03e354981523c8

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

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source=pdf_text observed=2026-08-14T14:45:51.811786Z digest=sha256:22ef742dd35f0256ad039525b03bae91b095d4b947ca66b0c10ab21a3e47897b

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=sha256:7e2576891e40174f059e752c00f5c1fd14ce3c1a8102f74072833ee7c198c876

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:b7275dd15ea47fe94e6a930d5a78a1165d39207d358fd8f9e4dcabc6f28fbf72

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:efc50f79e03fa9fadcd9c95e0888760220c75c1156c631fee82aff11cdd8cff0

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=sha256:91f42b1f81b8fcfda9db8ade26dd039d1e9760ef43c43c795634a46714b93d08

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=sha256:7a50b7ff7abb6810df2ffcbd13e8795ccdbf1fcafd43e40be5297484a4183a5d