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Paper Citation Record · LEDGER

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2506.08506.

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

pith.paper-citation-record.v1
2506.08506 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:26:27.529240Z

measured 37 of 37 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

37 of 37 outbound references displayed

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  • verified fuzzy24
  • unresolved8
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  • malformed identifier1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e16be9d7-10ad-4305-96f1-55ff57811e05 · outbound

This paper cites Achieving zero constraint violation for constrained reinforcement learning via primal-dual approach.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Achieving zero constraint violation for constrained reinforcement learning via primal-dual approach

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 76de4335-3374-43a5-afd9-c1962909ba78 · outbound

This paper cites an unresolved cited work.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Unresolved cited work

Reference 2

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Observation 4daac793-f4bf-4a5a-aac2-3fd5c6a263ad · outbound

This paper cites Projected Newton methods for optimization problems with simple con- straints.SIAM Journal on Control and Optimization, 20(2):221–246, 1982.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Projected Newton methods for optimization problems with simple con- straints.SIAM Journal on Control and Optimization, 20(2):221–246, 1982

Reference 3

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Observation 14750d0b-050d-4567-b0c7-8e951536050f · outbound

This paper cites Nonlinear programming.Journal of the Operational Research Society, 48(3):334–334, 1997.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Nonlinear programming.Journal of the Operational Research Society, 48(3):334–334, 1997

Reference 4

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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 c267ae15-c201-4340-8396-b04967721f7e · outbound

This paper cites Academic press, 2014.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Academic press, 2014

Reference 5

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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 52a1dd1f-230d-4f64-9c74-166ade6eefad · outbound

This paper cites Stochastic first-order methods for convex and nonconvex functional constrained optimization.Mathematical Programming, 197(1):215–279, 2023.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Stochastic first-order methods for convex and nonconvex functional constrained optimization.Mathematical Programming, 197(1):215–279, 2023

Reference 6

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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.

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Observation 91e38455-b649-4ad0-ac69-df9a87a4d929 · outbound

This paper cites Cambridge University Press, 2004.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Cambridge University Press, 2004

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:27.246856Z digest=sha256:779a63cdbb404f35a7d5f2cc7011906254f9c4ffec020ce7c271e60377d37334

Observation 9f833ce9-923d-4f4d-b8a0-110468bf1081 · outbound

This paper cites On the field of values of a matrix.Proceedings of the American Mathematical Society, 12:61–66, 1961.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On the field of values of a matrix.Proceedings of the American Mathematical Society, 12:61–66, 1961

Reference 8

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Source-reported events for the cited work

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

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Observation 9635febb-7395-4ff4-9575-e8548efe4e53 · outbound

This paper cites On the copositive representation of binary and continuous nonconvex quadratic programs.Mathematical Programming, 120(2):479–495, 2009.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On the copositive representation of binary and continuous nonconvex quadratic programs.Mathematical Programming, 120(2):479–495, 2009

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f5f7884f-d613-42de-a5ad-182d2998c831 · outbound

This paper cites MOS-SIAM Series on Optimization, 2022.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization MOS-SIAM Series on Optimization, 2022

Reference 10

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Observation 3e50ac05-fb4c-4cd9-b106-f6a00d0055e2 · outbound

This paper cites On the evaluation complexity of composite function minimization with applications to nonconvex nonlinear programming.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On the evaluation complexity of composite function minimization with applications to nonconvex nonlinear programming

Reference 11

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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=2026-08-07T05:26:27.288426Z digest=sha256:97bd144ec85750c563cc32374807486b19a94f1aa2c14f70515dfd97cb814dd8

Observation fece937b-24a4-4508-9dbe-4d4909756d46 · outbound

This paper cites On the complexity of finding first-order critical points in constrained nonlinear optimization.Mathematical Programming, 144(1):93–106, 2014.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On the complexity of finding first-order critical points in constrained nonlinear optimization.Mathematical Programming, 144(1):93–106, 2014

Reference 12

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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.

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Observation 9500f6a9-4a1d-45d7-a4aa-c8bd5db3c8d3 · outbound

This paper cites A near-optimal primal-dual method for off-policy learning in cmdp.Advances in Neural Information Processing Systems, 35:10521–10532, 2022.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization A near-optimal primal-dual method for off-policy learning in cmdp.Advances in Neural Information Processing Systems, 35:10521–10532, 2022

Reference 13

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:26:27.306193Z digest=sha256:1b9d2c289b0ca76064989647276a686e8bd6484f1468af00d70465ed94891819

Observation d50a27fc-288b-49ba-b04a-cfef982c7cf8 · outbound

This paper cites MOS-SIAM Series on Optimization, 2022.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization MOS-SIAM Series on Optimization, 2022

Reference 14

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raw_fallback, observed 2026-08-07T05:26:28.617826Z

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=2026-08-07T05:26:27.313437Z digest=sha256:efe8a64e47493cc503350c96df5ad9bb6abc3f15c4ba6c8d0854211a527ce6fe

Observation b02229b2-d3cf-4cb7-a798-47557be635c1 · outbound

This paper cites Approximation of the stability number of a graph via copositive programming.SIAM Journal on Optimization, 12(4):875–892, 2002.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Approximation of the stability number of a graph via copositive programming.SIAM Journal on Optimization, 12(4):875–892, 2002

Reference 15

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Source-reported events for the cited work

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

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Observation 9ae29e84-5acd-4f95-8d2c-0a26d7dfe0e7 · outbound

This paper cites Constrained composite optimization and augmented Lagrangian methods.Mathematical Programming, 201(1):863– 896, 2023.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Constrained composite optimization and augmented Lagrangian methods.Mathematical Programming, 201(1):863– 896, 2023

Reference 16

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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=2026-08-07T05:26:27.332438Z digest=sha256:7c0e240549f669d22f9ac6f7a9cec7a9e61a86c3f3bf2b208bfc11e9baf081e8

Observation d6a497f7-5c1a-46f2-9179-d66886608efe · outbound

This paper cites Copositive programming – a survey.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Copositive programming – a survey

Reference 17

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Source-reported events for the cited work

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

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Observation 9b3144f7-4c47-48fa-8a5a-f79dcd5087df · outbound

This paper cites Barrier Algorithms for Constrained Non-Convex Optimization.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Barrier Algorithms for Constrained Non-Convex Optimization

Reference 18

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-07T05:26:27.351596Z digest=sha256:63894acf213db30c66dd3660637f4d1418de1aec48a8f0891e24a4af2e7f7d9f

Observation 4aa98d4e-889f-452d-84ee-132af2b6566a · outbound

This paper cites On the complexity of an augmented Lagrangian method for nonconvex optimization.IMA Journal of Numerical Analysis, 41(2):1546–1568, 2021.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On the complexity of an augmented Lagrangian method for nonconvex optimization.IMA Journal of Numerical Analysis, 41(2):1546–1568, 2021

Reference 19

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no resolver link, observed 2026-08-07T05:26:27.358024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:27.358024Z digest=sha256:0b4d391430d684d7fc9456df60290feb8b24b9f53144b44eb5b685a856a8a9ef

Observation 195f694b-d795-4d41-a3c9-60941af4ffb5 · outbound

This paper cites Safe Zeroth-Order Optimization Using Quadratic Local Approximations.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Safe Zeroth-Order Optimization Using Quadratic Local Approximations

Reference 20

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local_arxiv, observed 2026-08-07T05:26:27.913323Z

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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 71f08c1c-96f1-43d3-8835-d6e274fdd3ab · outbound

This paper cites Safe zeroth- order convex optimization using quadratic local approximations.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Safe zeroth- order convex optimization using quadratic local approximations

Reference 21

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Source-reported events for the cited work

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

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Observation b44a2a54-280d-4ee7-8a9d-f96524f1d646 · outbound

This paper cites Safe Zeroth-Order Optimization Using Linear Programs.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Safe Zeroth-Order Optimization Using Linear Programs

Reference 22

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local_arxiv, observed 2026-08-07T05:26:27.809350Z

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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 957bc969-b566-4555-9672-3a277b012a87 · outbound

This paper cites an unresolved cited work.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Unresolved cited work

Reference 23

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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 d06c7c10-9aa6-43a6-9e36-65a2df635517 · outbound

This paper cites Rate-improved inex- act augmented Lagrangian method for constrained nonconvex optimization.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Rate-improved inex- act augmented Lagrangian method for constrained nonconvex optimization

Reference 24

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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=2026-08-07T05:26:27.401392Z digest=sha256:ace206b754d813c14f363f00a43c0daa6a09d6fd71dcfd663cf6cddda9d8c303

Observation afa32485-72cb-4d0f-aa4e-768badfb6850 · outbound

This paper cites Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.Computational Optimization and Applications, 82(1):175–224, 2022.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Complexity of an inexact proximal-point penalty method for constrained smooth non-convex optimization.Computational Optimization and Applications, 82(1):175–224, 2022

Reference 25

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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.

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Observation c03f5237-f489-487a-8fa5-b82f2e8a473a · outbound

This paper cites A level-set method for convex opti- mization with a feasible solution path.SIAM Journal on Optimization, 28:3290–3311, 2018.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization A level-set method for convex opti- mization with a feasible solution path.SIAM Journal on Optimization, 28:3290–3311, 2018

Reference 26

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raw_fallback, observed 2026-08-07T05:26:28.293412Z

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.

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Observation ad426628-4ada-44e8-930d-9e3b5847126b · outbound

This paper cites On Brickman’s theorem.Journal of Convex Analysis, 12:139– 143, 2005.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On Brickman’s theorem.Journal of Convex Analysis, 12:139– 143, 2005

Reference 27

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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 ffb45dce-a7c9-4fc1-9238-c55f77ab1c72 · outbound

This paper cites Kluwer Academic Publishers, 2004.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Kluwer Academic Publishers, 2004

Reference 28

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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.

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Observation 5a718a57-c484-4b92-8e61-940ac4a958ad · outbound

This paper cites Springer, 2018.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Springer, 2018

Reference 29

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no resolver link, observed 2026-08-07T05:26:27.452174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:27.452174Z digest=sha256:32e21b1be278b1287b62697bf7dee54eb51832e1c22f30d40f8e7e7344d582fb

Observation 0bb53b02-439d-4e86-9cd6-3c10050ad97f · outbound

This paper cites Springer, 1999.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Springer, 1999

Reference 30

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raw_fallback, observed 2026-08-07T05:26:28.159270Z

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=2026-08-07T05:26:27.459646Z digest=sha256:9e8f252ed7cc8ed1cd0a8fab04433774309982a1f6de707cf6d14ca2e69185a8

Observation b6065c6d-0491-4779-a276-9d46561ac752 · outbound

This paper cites Convergence to Second-Order Stationarity for Constrained Non-Convex Optimization.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Convergence to Second-Order Stationarity for Constrained Non-Convex Optimization

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:27.469671Z digest=sha256:1940085f9a80967dcc3fc84a60eeabc25d53554fc038842136ccb2c39bd25e5c

Observation 00be3379-2e69-41ff-9b53-2b65d0dd56a2 · outbound

This paper cites Constrained non-convex optimization via stochastic variance reduced approximations.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Constrained non-convex optimization via stochastic variance reduced approximations

Reference 32

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raw_fallback, observed 2026-08-07T05:26:28.119955Z

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=2026-08-07T05:26:27.478679Z digest=sha256:05d7a772395ba64a3e1778d784e849a43eedcf59f1d3a8b41cb3244749c99eb6

Observation 986225fd-f6be-4631-af01-2ec4ad70c339 · outbound

This paper cites An inexact augmented lagrangian framework for nonconvex optimization with nonlinear constraints.Ad- vances in Neural Information Processing Systems, 32, 2019.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization An inexact augmented lagrangian framework for nonconvex optimization with nonlinear constraints.Ad- vances in Neural Information Processing Systems, 32, 2019

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-07T05:26:28.082818Z

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=2026-08-07T05:26:27.484578Z digest=sha256:71d4d16b0c7e04bb405f586a001cab34fcdc2f7b040df9bc0312b0f03f16de9a

Observation 3013009b-f1aa-4a3d-9475-552d5eee97a6 · outbound

This paper cites On cones of nonnegative quadratic functions.Mathematics of Operations Research, 28:246–267, 2003.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization On cones of nonnegative quadratic functions.Mathematics of Operations Research, 28:246–267, 2003

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:26:28.050748Z

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=2026-08-07T05:26:27.492355Z digest=sha256:fa5c5f6457199513f81513e5cead2521cced4ada9dfe2995c6344db2660c5a17

Observation 87b6499e-0757-4cfe-8617-7db3f9c6d450 · outbound

This paper cites Novel Optimization Techniques for Parameter Estimation.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Novel Optimization Techniques for Parameter Estimation

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:26:27.734650Z

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=2026-08-07T05:26:27.507046Z digest=sha256:49d25a4f449ed51d7ca9c296aacb257f120258c537a6288055df4004aa0261b8

Observation 2cc98ee6-5e16-47ed-a332-213106c1e477 · outbound

This paper cites Solving convex smooth function constrained optimization is as almost easy as unconstrained optimization.arXiv preprint arXiv:2210.05807, 2022.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization Solving convex smooth function constrained optimization is as almost easy as unconstrained optimization.arXiv preprint arXiv:2210.05807, 2022

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:26:27.519072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:26:27.519072Z digest=sha256:b26c3d2656af23c130bc27db810f667213a8f369b3cb48a936ca69abe40ee9be

Observation 39be0815-ae79-4ecc-9218-d47f16aaad3c · outbound

This paper cites A first-order primal-dual method for nonconvex constrained optimization based on the augmented Lagrangian.Mathematics of Operations Research, 49(1):1–651, 2024.

Complexity Analysis of Convex Majorization Schemes for Nonconvex Constrained Optimization A first-order primal-dual method for nonconvex constrained optimization based on the augmented Lagrangian.Mathematics of Operations Research, 49(1):1–651, 2024

Reference 37

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T05:26:28.010412Z

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=2026-08-07T05:26:27.529240Z digest=sha256:cbca6dd7513527b9c118454cef4128b5b6dc024e4814e8d029a6baaecda5a1ec

Pith citing papers

No inbound Pith citation observations are available.