Contextual Scenario Generation for Two-Stage Stochastic Programming | Paper Citation Record

Observation ddadd936-f444-4f18-8317-3e9571bab9e7 · outbound

This paper cites 1 11–152.

Contextual Scenario Generation for Two-Stage Stochastic Programming 1 11–152

Reference 1

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Observation a2b73367-4991-4e83-a3d2-4cc8e1be832d · outbound

This paper cites SIAM Journal on optimiza- tion 12(2), 479–502 (2002) https://doi.org/10.1137/S1052623499363220.

Contextual Scenario Generation for Two-Stage Stochastic Programming SIAM Journal on optimiza- tion 12(2), 479–502 (2002) https://doi.org/10.1137/S1052623499363220

Reference 2

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Observation 34f6f808-0d94-4c0b-b249-58935aac65d6 · outbound

This paper cites Advances in Neural Information Proces sing Systems 35, 23992–24005 (2022) 42.

Contextual Scenario Generation for Two-Stage Stochastic Programming Advances in Neural Information Proces sing Systems 35, 23992–24005 (2022) 42

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.343928Z

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Observation 33670a65-3eb7-4449-b722-89fe2f7b1d9c · outbound

This paper cites an unresolved cited work.

Contextual Scenario Generation for Two-Stage Stochastic Programming Unresolved cited work

Reference 4

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Observation 91419cf9-f291-4347-a6c6-af4ac83c194d · outbound

This paper cites Kluwer Academic Pub lishers, Norwell, MA, USA (1996).

Contextual Scenario Generation for Two-Stage Stochastic Programming Kluwer Academic Pub lishers, Norwell, MA, USA (1996)

Reference 5

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.586433Z

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Observation a199314e-fc17-47a6-9642-6e18bbf32931 · outbound

This paper cites INFORMS Journal on Optimization 5(3), 295– 320 (2023) https://doi.org/10.1287/ijoo.2023.0088.

Contextual Scenario Generation for Two-Stage Stochastic Programming INFORMS Journal on Optimization 5(3), 295– 320 (2023) https://doi.org/10.1287/ijoo.2023.0088

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-08T19:45:14.152268Z

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Observation d4577076-14f5-4dd8-b15b-3560261eafba · outbound

This paper cites Manufactu ring & Service Operations Management 21(4), 798–815 (2019) https://doi.org/10.1287/msom.

Contextual Scenario Generation for Two-Stage Stochastic Programming Manufactu ring & Service Operations Management 21(4), 798–815 (2019) https://doi.org/10.1287/msom

Reference 8

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Observation aa6a3d3f-3ba1-4886-a87c-df420ca863f7 · outbound

This paper cites Management Science 66(3), 1025–1044 (2020) https://doi.org/10.1287/mnsc.2018.3253.

Contextual Scenario Generation for Two-Stage Stochastic Programming Management Science 66(3), 1025–1044 (2020) https://doi.org/10.1287/mnsc.2018.3253

Reference 9

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Observation d2566c90-4b97-4af3-9fc8-e205ca2587b2 · outbound

This paper cites Optimization Letters, 1– 28 (2023) https:// doi.org/10.1007/s11590-023-02009-5.

Contextual Scenario Generation for Two-Stage Stochastic Programming Optimization Letters, 1– 28 (2023) https:// doi.org/10.1007/s11590-023-02009-5

Reference 10

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.569244Z

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Observation 2ae94af2-64e7-4c58-aa16-e007477e4974 · outbound

This paper cites Advances in Neural Information Proce ssing Systems 36 (2024).

Contextual Scenario Generation for Two-Stage Stochastic Programming Advances in Neural Information Proce ssing Systems 36 (2024)

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.323851Z

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Observation 143bb844-b905-4678-88bf-334a4197373f · outbound

This paper cites predict, then optimize.

Contextual Scenario Generation for Two-Stage Stochastic Programming predict, then optimize

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.163841Z

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Observation 1b03daf5-f979-470d-a227-db9942cf6b74 · outbound

This paper cites Advances in neural information processing systems 32 (2019).

Contextual Scenario Generation for Two-Stage Stochastic Programming Advances in neural information processing systems 32 (2019)

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.314591Z

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Observation a9625d0b-8c51-45ae-afba-089c1f4ab87f · outbound

This paper cites Integrated Conditional Estimation-Optimization.

Contextual Scenario Generation for Two-Stage Stochastic Programming Integrated Conditional Estimation-Optimization

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.170256Z

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Observation 2c9aa188-f7ec-448b-8a31-3ef8bebb737d · outbound

This paper cites Spr inger, New York, NY (2012).

Contextual Scenario Generation for Two-Stage Stochastic Programming Spr inger, New York, NY (2012)

Reference 15

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.548041Z

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Observation 8fdf5f88-b97c-4f04-af3e-4c42ad3ae9c4 · outbound

This paper cites Mathematical programming 95, 493–511 (2003) https://doi.org/ 10.1007/s10107-002-0331-0.

Contextual Scenario Generation for Two-Stage Stochastic Programming Mathematical programming 95, 493–511 (2003) https://doi.org/ 10.1007/s10107-002-0331-0

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.177396Z

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Observation ef533281-51d7-48bc-b19b-dee4ce71cd86 · outbound

This paper cites Computational optimization and applications 24, 169–185 (2003) https://doi.org/10.1023/A:1021853807313.

Contextual Scenario Generation for Two-Stage Stochastic Programming Computational optimization and applications 24, 169–185 (2003) https://doi.org/10.1023/A:1021853807313

Reference 17

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.531229Z

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Observation b247dd2b-e2fe-49f0-8fb5-8748140b63a8 · outbound

This paper cites Operations Research 71(4), 1343–1361 (2023) https://doi.org/10.1287/opre.2022.2265.

Contextual Scenario Generation for Two-Stage Stochastic Programming Operations Research 71(4), 1343–1361 (2023) https://doi.org/10.1287/opre.2022.2265

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.183955Z

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Observation 305a9d81-425a-4db5-839d-6928dad97c03 · outbound

This paper cites Mathematical Programming, 1–42 (2022) https://doi.org/10.1007/s10107-019-01451-7.

Contextual Scenario Generation for Two-Stage Stochastic Programming Mathematical Programming, 1–42 (2022) https://doi.org/10.1007/s10107-019-01451-7

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.187201Z

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Observation df2c65a1-cfb7-478f-8736-98d0a3a35285 · outbound

This paper cites European Journal of Opera tional Research 318(1), 154–166 (2024) https://doi.org/10.1016/j.ejor.2024.04.006.

Contextual Scenario Generation for Two-Stage Stochastic Programming European Journal of Opera tional Research 318(1), 154–166 (2024) https://doi.org/10.1016/j.ejor.2024.04.006

Reference 20

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.513729Z

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Observation cbe00471-edd0-4395-9d44-36e96c34f56c · outbound

This paper cites Europea n Journal of Operational Research 308(1), 321–335 (2023) https://doi.org/10.1016/j.ejor.

Contextual Scenario Generation for Two-Stage Stochastic Programming Europea n Journal of Operational Research 308(1), 321–335 (2023) https://doi.org/10.1016/j.ejor

Reference 21

Resolution: malformed identifier; no resolver link, observed 2026-08-08T19:45:13.194758Z

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Observation cd74278d-a328-426c-8d58-0df27de99772 · outbound

This paper cites In: International Confer ence on Artiﬁcial Intelligence and Statistics, pp.

Contextual Scenario Generation for Two-Stage Stochastic Programming In: International Confer ence on Artiﬁcial Intelligence and Statistics, pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.305209Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 70789200-d50c-4003-b633-3bafb87feb44 · outbound

This paper cites an unresolved cited work.

Contextual Scenario Generation for Two-Stage Stochastic Programming Unresolved cited work

Reference 23

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.503148Z

Source-reported events for the cited work

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Observation 86f58e88-6b66-4682-b04f-449a53229cca · outbound

This paper cites Han dbooks in oper- ations research and management science 10, 483–554 (2003) https://doi.org/10.

Contextual Scenario Generation for Two-Stage Stochastic Programming Han dbooks in oper- ations research and management science 10, 483–554 (2003) https://doi.org/10

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.295929Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bc382dc3-2f65-40f6-89be-64692dca5a5f · outbound

This paper cites Journal of Machine Learning Research 13(25), 723–773 (2012).

Contextual Scenario Generation for Two-Stage Stochastic Programming Journal of Machine Learning Research 13(25), 723–773 (2012)

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.286463Z

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Observation ad95d530-780b-40d6-8653-07516ef0efd2 · outbound

This paper cites : Ker- nel mean embedding of distributions: A review and beyond.

Contextual Scenario Generation for Two-Stage Stochastic Programming : Ker- nel mean embedding of distributions: A review and beyond

Reference 26

Resolution: malformed identifier; raw_fallback, observed 2026-08-08T19:45:14.277102Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9079f9fc-654e-4106-b6cc-ea282638b9c3 · outbound

This paper cites Evaluating Aleatoric Uncertainty via Conditional Generative Models.

Contextual Scenario Generation for Two-Stage Stochastic Programming Evaluating Aleatoric Uncertainty via Conditional Generative Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.216961Z

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Observation 687b053d-d229-44b0-92e8-17af94be7b61 · outbound

This paper cites The annals of statistics, 2263–2291 (2013).

Contextual Scenario Generation for Two-Stage Stochastic Programming The annals of statistics, 2263–2291 (2013)

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.267699Z

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Observation c27df0d1-1faa-4663-9311-49e8b257e6f2 · outbound

This paper cites Handbook of Numerical Analysis 24, 407–471 (2023) https:// doi.org/10.1016/bs.hna.2022.11.003.

Contextual Scenario Generation for Two-Stage Stochastic Programming Handbook of Numerical Analysis 24, 407–471 (2023) https:// doi.org/10.1016/bs.hna.2022.11.003

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.224601Z

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Observation 7ee7687c-63cb-49d2-87e6-4086ab167f31 · outbound

This paper cites Statistics & Probability Letters 82(12), 2278–2282 (2012) https://doi.org/10.1016/j.spl.2012.

Contextual Scenario Generation for Two-Stage Stochastic Programming Statistics & Probability Letters 82(12), 2278–2282 (2012) https://doi.org/10.1016/j.spl.2012

Reference 30

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.474941Z

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Observation 7a572235-6453-4654-9417-1cc31ff4a435 · outbound

This paper cites In: Proceedings o f the AAAI Conference on Artiﬁcial Intelligence, vol.

Contextual Scenario Generation for Two-Stage Stochastic Programming In: Proceedings o f the AAAI Conference on Artiﬁcial Intelligence, vol

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.231918Z

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Observation 3a0dafbd-77ce-480e-9a30-fd52bfa67c27 · outbound

This paper cites IEEE transactions o n evolution- ary computation 22(2), 276–295 (2017) https://doi.org/10.1109/TEVC.2017.

Contextual Scenario Generation for Two-Stage Stochastic Programming IEEE transactions o n evolution- ary computation 22(2), 276–295 (2017) https://doi.org/10.1109/TEVC.2017

Reference 32

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.456070Z

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Observation 7a7c5752-8ee7-4334-84c6-2c6096fd69da · outbound

This paper cites an unresolved cited work.

Contextual Scenario Generation for Two-Stage Stochastic Programming Unresolved cited work

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.239330Z

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Observation f66aee8b-e441-42ed-8c43-37e31bba6d0e · outbound

This paper cites Advances in neural information processing system s 30 (2017).

Contextual Scenario Generation for Two-Stage Stochastic Programming Advances in neural information processing system s 30 (2017)

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.258233Z

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Observation 125e99cb-20d7-494d-aa3f-697da3c62111 · outbound

This paper cites In: International Conference on Algorithmic Learning Theory, pp.

Contextual Scenario Generation for Two-Stage Stochastic Programming In: International Conference on Algorithmic Learning Theory, pp

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.248232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0e0469fe-3f01-4d67-acbe-40f61bb749b7 · outbound

This paper cites Machine learning 8, 293–321 (1992) https://doi.org/10.1007/ BF00992699.

Contextual Scenario Generation for Two-Stage Stochastic Programming Machine learning 8, 293–321 (1992) https://doi.org/10.1007/ BF00992699

Reference 36

Resolution: malformed identifier; raw_fallback, observed 2026-08-08T19:45:14.238586Z

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Observation 192663ee-0e98-4933-92fd-9d9e85605ed3 · outbound

This paper cites Mathematical programming 24, 314–325 (1982) https://doi.

Contextual Scenario Generation for Two-Stage Stochastic Programming Mathematical programming 24, 314–325 (1982) https://doi

Reference 37

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.437945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e8f47e8b-1885-4ba8-b814-ea208aa53c47 · outbound

This paper cites European Journal of Oper ational Research 300(2), 590–601 (2022) https://doi.org/10.1016/j.ejor.2021.08.013 45.

Contextual Scenario Generation for Two-Stage Stochastic Programming European Journal of Oper ational Research 300(2), 590–601 (2022) https://doi.org/10.1016/j.ejor.2021.08.013 45

Reference 38

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.427725Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ffa2218d-fe8b-4f94-9050-33f760028c00 · outbound

This paper cites In: Walt, Millman (eds.) Proceedings of the 9th Python in Scie nce Conference, pp.

Contextual Scenario Generation for Two-Stage Stochastic Programming In: Walt, Millman (eds.) Proceedings of the 9th Python in Scie nce Conference, pp

Reference 39

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Observation ebb18654-488e-4868-a6b8-6d37be8f9823 · outbound

This paper cites Journal of econ omic perspectives 15(4), 143–156 (2001).

Contextual Scenario Generation for Two-Stage Stochastic Programming Journal of econ omic perspectives 15(4), 143–156 (2001)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.228111Z

Source-reported events for the cited work

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Observation 3ccc27b6-aa7c-4902-9c5f-7f18e32beb00 · outbound

This paper cites Journal of risk 4, 43–68 (2002) https:// doi.org/10.21314/JOR.2002.057.

Contextual Scenario Generation for Two-Stage Stochastic Programming Journal of risk 4, 43–68 (2002) https:// doi.org/10.21314/JOR.2002.057

Reference 41

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.410100Z

Source-reported events for the cited work

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Observation c9f6fcc2-88c8-43b4-9f37-518aaf8fa152 · outbound

This paper cites International Journal of Production Economics 134(2), 388–397 (2011) https:// doi.org/10.1016/j.ijpe.2009.11.012.

Contextual Scenario Generation for Two-Stage Stochastic Programming International Journal of Production Economics 134(2), 388–397 (2011) https:// doi.org/10.1016/j.ijpe.2009.11.012

Reference 42

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.398383Z

Source-reported events for the cited work

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Observation 6f2c798c-81c4-49b5-aebc-9a387e471f2d · outbound

This paper cites In: 2009 IEEE 12th International Conference on Computer Vision, pp.

Contextual Scenario Generation for Two-Stage Stochastic Programming In: 2009 IEEE 12th International Conference on Computer Vision, pp

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.273263Z

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Observation 47dc8e80-2d43-489a-ac02-319bc0cd7662 · outbound

This paper cites In: The 22nd International Conferenc e on Artiﬁcial Intelligence and Statistics, pp.

Contextual Scenario Generation for Two-Stage Stochastic Programming In: The 22nd International Conferenc e on Artiﬁcial Intelligence and Statistics, pp

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.218090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb646d29-6d6f-4415-b6cc-b24f1b17072a · outbound

This paper cites The Cramer Distance as a Solution to Biased Wasserstein Gradients.

Contextual Scenario Generation for Two-Stage Stochastic Programming The Cramer Distance as a Solution to Biased Wasserstein Gradients

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T19:45:13.280118Z

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Observation b15a5e24-21f7-4cce-87fc-fe86b2af9a1a · outbound

This paper cites In: The 22nd International Conference on Artiﬁcial Intelligence and S tatistics, pp.

Contextual Scenario Generation for Two-Stage Stochastic Programming In: The 22nd International Conference on Artiﬁcial Intelligence and S tatistics, pp

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.208174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 76f3af3c-70d4-4a4b-b00f-a74e781715dc · outbound

This paper cites Advances in Neural Information Processing Systems 29 (2016).

Contextual Scenario Generation for Two-Stage Stochastic Programming Advances in Neural Information Processing Systems 29 (2016)

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.197189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 912bac2b-68d8-450e-b442-c17acabb103a · outbound

This paper cites Advances in neural information processing systems 33, 21247–21259 (2020).

Contextual Scenario Generation for Two-Stage Stochastic Programming Advances in neural information processing systems 33, 21247–21259 (2020)

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.187036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4d7b03ca-7e68-4705-813a-4c11ad35b044 · outbound

This paper cites Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel.

Contextual Scenario Generation for Two-Stage Stochastic Programming Posterior Sampling Based on Gradient Flows of the MMD with Negative Distance Kernel

Reference 49

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T19:45:13.374476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ff20c84-f5c1-486f-b7ab-baced56d189f · outbound

This paper cites Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances.

Contextual Scenario Generation for Two-Stage Stochastic Programming Y-Diagonal Couplings: Approximating Posteriors with Conditional Wasserstein Distances

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-08-08T19:45:13.358376Z

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Observation 28104d18-04ea-4aea-99d4-524e6ab00ae6 · outbound

This paper cites an unresolved cited work.

Contextual Scenario Generation for Two-Stage Stochastic Programming Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-08T19:45:14.175848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ee562352-9e11-4481-bc5a-a9edf098e70e · outbound

This paper cites Computa tional Manage- ment Science, 1–34 (2022) https://doi.org/10.1007/s10287-021-00400-0.

Contextual Scenario Generation for Two-Stage Stochastic Programming Computa tional Manage- ment Science, 1–34 (2022) https://doi.org/10.1007/s10287-021-00400-0

Reference 52

Resolution: verified exact; doi, observed 2026-08-08T19:45:13.341557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1fd56a69-a3c0-45a2-a0bc-c2320806d9f1 · outbound

This paper cites Advances in Neural Infor mation Processing Systems (2017) 47.

Contextual Scenario Generation for Two-Stage Stochastic Programming Advances in Neural Infor mation Processing Systems (2017) 47

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T19:45:14.164269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers