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Paper Citation Record · LEDGER

De-risking solutions to optimization problems

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2605.28240.

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

pith.paper-citation-record.v1
2605.28240 v2

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T15:50:24.762576Z

measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation 570d0936-1bbd-4b59-ae2d-2a6733095afb · outbound

This paper cites an unresolved cited work.

De-risking solutions to optimization problems Unresolved cited work

Reference 1

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Observation 042221d7-6ef5-4bf8-85c5-7ed7cc80b7a1 · outbound

This paper cites The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms.

De-risking solutions to optimization problems The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 2

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Observation 43580376-5e70-4885-87ec-304af2413a1d · outbound

This paper cites Cambridge University Press (2026),https://yasminebeck.github.io/ files/bilevel-optimization-cup.pdf.

De-risking solutions to optimization problems Cambridge University Press (2026),https://yasminebeck.github.io/ files/bilevel-optimization-cup.pdf

Reference 3

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Observation 2e604d6b-5f6d-4e2b-9c69-5da1f87b4338 · outbound

This paper cites Numerische Mathematik4(1), 238–252 (1962).

De-risking solutions to optimization problems Numerische Mathematik4(1), 238–252 (1962)

Reference 4

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Observation ea539c74-6912-4d13-9ca2-9becaaaf0465 · outbound

This paper cites SIAM Review53(3), 464–501 (2011).

De-risking solutions to optimization problems SIAM Review53(3), 464–501 (2011)

Reference 5

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Observation 5ec3bc6f-e96b-4f28-959a-93873257e3e0 · outbound

This paper cites Operations Research52(1), 35–53 (2004).

De-risking solutions to optimization problems Operations Research52(1), 35–53 (2004)

Reference 6

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This paper cites Society for Industrial and Applied Mathematics (2015).

De-risking solutions to optimization problems Society for Industrial and Applied Mathematics (2015)

Reference 7

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Observation 5d1dc327-964a-4bd0-8eb2-447f386bf50d · outbound

This paper cites 4OR18(3), 249–292 (Sep 2020).

De-risking solutions to optimization problems 4OR18(3), 249–292 (Sep 2020)

Reference 8

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De-risking solutions to optimization problems Unresolved cited work

Reference 9

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This paper cites In: Proceedings of the Thirty-Sixth Annual ACM Symposium on Theory of Computing.

De-risking solutions to optimization problems In: Proceedings of the Thirty-Sixth Annual ACM Symposium on Theory of Computing

Reference 10

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This paper cites SIAM Journal on Optimization20(5), 2352–2380 (2010).

De-risking solutions to optimization problems SIAM Journal on Optimization20(5), 2352–2380 (2010)

Reference 11

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This paper cites Interfaces 36(6), 530–544 (2006).

De-risking solutions to optimization problems Interfaces 36(6), 530–544 (2006)

Reference 12

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De-risking solutions to optimization problems Unresolved cited work

Reference 13

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Observation 2cf81f0d-cff2-4421-8168-0906d0ee3be6 · outbound

This paper cites Federal Energy Regulatory Commission (2012).

De-risking solutions to optimization problems Federal Energy Regulatory Commission (2012)

Reference 14

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This paper cites Bulletin de la Societe Francoise des Electriciens8, 431–447 (1962).

De-risking solutions to optimization problems Bulletin de la Societe Francoise des Electriciens8, 431–447 (1962)

Reference 15

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This paper cites INFORMS Journal on Computing26, 718–734 (2014).

De-risking solutions to optimization problems INFORMS Journal on Computing26, 718–734 (2014)

Reference 16

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This paper cites Operations Re- search46(2), 184–197 (1998).

De-risking solutions to optimization problems Operations Re- search46(2), 184–197 (1998)

Reference 17

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This paper cites Networks3(2), 97–133 (1973).

De-risking solutions to optimization problems Networks3(2), 97–133 (1973)

Reference 18

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This paper cites SIAM Journal on Optimization4(1), 86–107 (1994).

De-risking solutions to optimization problems SIAM Journal on Optimization4(1), 86–107 (1994)

Reference 19

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De-risking solutions to optimization problems gurobi.com

Reference 20

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This paper cites IEEE Standard IEEE Std 738-2012, IEEE, New York, NY , USA (December 2012).

De-risking solutions to optimization problems IEEE Standard IEEE Std 738-2012, IEEE, New York, NY , USA (December 2012)

Reference 21

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De-risking solutions to optimization problems Journal of the Society for Industrial and Applied Mathematics pp

Reference 22

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This paper cites Probabilistic Modeling versus Robust Optimization: A tutorial based on a humanitarian logistics use case.

De-risking solutions to optimization problems Probabilistic Modeling versus Robust Optimization: A tutorial based on a humanitarian logistics use case

Reference 23

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De-risking solutions to optimization problems John Wiley & Sons, Inc

Reference 24

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De-risking solutions to optimization problems Now, Foundations and Trends (2019)

Reference 25

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De-risking solutions to optimization problems Springer Series in Operations Research and Financial Engineering, Springer, 2 edn

Reference 26

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De-risking solutions to optimization problems In: 32nd Annual Symposium on Foundations of Computer Sci- ence, San Juan, Puerto Rico, 1-4 October 1991

Reference 27

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De-risking solutions to optimization problems IEEE Trans

Reference 28

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De-risking solutions to optimization problems Unresolved cited work

Reference 29

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De-risking solutions to optimization problems ADADELTA: An Adaptive Learning Rate Method

Reference 30

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This paper cites IEEE Trans.

De-risking solutions to optimization problems IEEE Trans

Reference 31

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