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Paper Citation Record · LEDGER

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2501.08906.

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

pith.paper-citation-record.v1
2501.08906 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:22:32.961530Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T20:04:44.810854Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f0deba3d-4f21-41b5-b529-4335777ee334 · outbound

This paper cites In: Proceedings of the 35th International Conference on Machine Le arning.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme In: Proceedings of the 35th International Conference on Machine Le arning

Reference 1

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Observation 652a922d-7648-45be-b481-4dbd83e2b85a · outbound

This paper cites IEEE Trans.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme IEEE Trans

Reference 2

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This paper cites IEEE Press, Piscataway, NJ (2000).

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme IEEE Press, Piscataway, NJ (2000)

Reference 3

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This paper cites IEEE Signal Process.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme IEEE Signal Process

Reference 4

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This paper cites In: Proc eedings of ICNN’95-International Conference on Neural Networks, vol.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme In: Proc eedings of ICNN’95-International Conference on Neural Networks, vol

Reference 5

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

Reference 6

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This paper cites Swarm Inte ll.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Swarm Inte ll

Reference 7

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This paper cites an unresolved cited work.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

Reference 8

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This paper cites Neur ocomputing 119(7), 319–331 (2013).

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Neur ocomputing 119(7), 319–331 (2013)

Reference 9

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This paper cites Soft Comput.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Soft Comput

Reference 10

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

Reference 11

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This paper cites ESAIM Contr ol Optim.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme ESAIM Contr ol Optim

Reference 12

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This paper cites an unresolved cited work.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

Reference 13

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This paper cites Chaos Solitons Fractals 174(113859) (2023).

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Chaos Solitons Fractals 174(113859) (2023)

Reference 14

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

Reference 18

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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This paper cites Consensus-Based Optimization Methods Converge Globally.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Consensus-Based Optimization Methods Converge Globally

Reference 26

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Springer, London (2008)

Reference 27

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Birkh¨ auser, Boston, MA (199 9)

Reference 28

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

Reference 30

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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Observation a870da0e-8db6-43d7-adf6-ff6c42d6aaee · outbound

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

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Observation 8e252aab-a83a-4bf1-b69e-dd30ef6fa329 · outbound

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A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

Reference 35

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Source-reported events for the cited work

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Observation a99495f4-21ab-43fe-b7b0-6c5fdd318e87 · outbound

This paper cites an unresolved cited work.

A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme Unresolved cited work

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization cites this paper.

Mean-Field Model for Two-Layer Neural Networks Trained with Consensus-Based Optimization A consensus-based optimization method for nonsmooth nonconvex programs with approximated gradient descent scheme

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