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Paper Citation Record · LEDGER

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2606.25362.

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

pith.paper-citation-record.v1
2606.25362 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-25T21:20:42.768437Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

40 of 40 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cd1e9047-88d0-494c-9388-fbb88b8055f4 · outbound

This paper cites Manufacturing & Service Operations Management , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Manufacturing & Service Operations Management , volume=

Reference 1

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:43eaff073e824e0d7760945f178da924e55460882fd866a4e4bb427e33b6baf8

Observation 9d075350-efc3-42a5-92f8-bd5a32a75666 · outbound

This paper cites Operations Research & Management Science in the age of analytics , pages=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Operations Research & Management Science in the age of analytics , pages=

Reference 2

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:80ffaa3e6d77b2fcddec4db0150156ad6599daf11b71dfa686fd62e9d5041ad2

Observation 141343d1-3d5f-45a5-a502-67f53f4d7586 · outbound

This paper cites 2019 , publisher=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application 2019 , publisher=

Reference 3

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:41b088d01d405d604544adba17428169f05c58b78e230d509c614f9346340923

Observation 52af41be-a43c-4b11-a61f-57d22a29683c · outbound

This paper cites INFORMS Journal on Computing , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application INFORMS Journal on Computing , volume=

Reference 4

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:ede98a36407fab4b61b942f6f34cb334bddd212e6508b6e83b353da5cdfee79a

Observation 233f357e-f66c-4960-8c7d-ead9901cbb2e · outbound

This paper cites Manufacturing & Service Operations Management , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Manufacturing & Service Operations Management , volume=

Reference 5

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:b216f27b3c9a51b0e04a92b1608461c6e108b5ad9f1728a588e711ef36f55ec6

Observation 556d04ed-1767-42f7-8d71-67b3b6b2b4f1 · outbound

This paper cites Advances in neural information processing systems , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Advances in neural information processing systems , volume=

Reference 6

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:4f8e40b8a0fe032ed1c9460d31661f1d53ee620ecab80fdfbf4c199b278baec7

Observation e83878f2-b633-497e-928a-ff9bd38c0a3e · outbound

This paper cites arXiv preprint arXiv:2602.20271 , year=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application arXiv preprint arXiv:2602.20271 , year=

Reference 7

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verified exact
arxiv_id, observed 2026-07-04T19:30:07.020920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:b3c3c07d855ed8bafa763d8d41fd5176458eab4cdf00cc697b38d6fe85dddd6c

Observation 8d065a93-ce56-4167-b20e-93bca91e9a60 · outbound

This paper cites Advances in neural information processing systems , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Advances in neural information processing systems , volume=

Reference 8

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:0575dd8bb7a62eac3785c8104da06c2922568f293062143ef9ae27bf02eb8435

Observation 45c98d86-ed77-4de7-a523-9e84dc151b1b · outbound

This paper cites International Conference on Learning Representations , year=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application International Conference on Learning Representations , year=

Reference 9

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:c858a447338cd0f3369a1e561b696426911176627fd55e965157ae099f0d2ebf

Observation af651162-b3fc-4a22-ad25-853b4fa8d5c5 · outbound

This paper cites 2015 , publisher=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application 2015 , publisher=

Reference 10

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:42c3338c0f07dd7c9d6d3f0adc964dc0e602e623e480321d6d85cf604460e60e

Observation 5bec81d8-9b08-430b-b2ba-4fa142116dd4 · outbound

This paper cites Transportation Science , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Transportation Science , volume=

Reference 11

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:1b6069f338740a8f0918e836c0833754750bd5c1ee13cce6f77a7462d5588740

Observation 9f06b15a-714c-43cc-8fa0-867fd1415716 · outbound

This paper cites INFORMS Journal on Computing , year=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application INFORMS Journal on Computing , year=

Reference 12

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:9b295ce176676425351fb9ce2e67b4070d6d246373438967daa8b96c034a306e

Observation 998559e5-9de0-4abf-9287-3cb78210efa6 · outbound

This paper cites INFORMS Journal on Computing , year=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application INFORMS Journal on Computing , year=

Reference 13

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:ab379c3b1a206243e3f9ab27cf24c49342a839169092f87f6233f665a2b6707d

Observation eb2dc342-2556-4c11-aabb-3fe1b673d7ea · outbound

This paper cites Operations Research , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Operations Research , volume=

Reference 14

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:50925f302e0f3eae2b391f2b86bfe6f1d4055bf2b6ddd036a9ce50a90f599b38

Observation 75390f75-b69f-473d-a97e-3963ddb3b99a · outbound

This paper cites INFORMS Journal on Computing , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application INFORMS Journal on Computing , volume=

Reference 15

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:c1782cf87f0da4d85dd9ca4e6752abd14cc49ba3fb410754b971f726e4ea623c

Observation 5b0f3682-641c-42ec-8d3c-a12627d684d5 · outbound

This paper cites Transportation Science , year=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Transportation Science , year=

Reference 16

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:bd40c2d61aea43d17e8cb64762d36a816cad6c4206b99a563711887337a608e9

Observation 514ded83-2ddc-43a0-8ad9-1e54e047c5a6 · outbound

This paper cites and Bodur, Merve , journal=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application and Bodur, Merve , journal=

Reference 17

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:ca64680ac7c2d9f72a432409983cbca5fce029d80e996486337cc40812cb31d9

Observation 51b9b695-66c3-4e70-afa2-1f5b22ddc8f5 · outbound

This paper cites IEEE Open Journal of Intelligent Transportation Systems , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application IEEE Open Journal of Intelligent Transportation Systems , volume=

Reference 18

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:6672424e2801568e4a752b801e97fbdc8523115cec5121f40c334c85dd9e0a7c

Observation fe0db3d2-e7e4-495a-88a9-2ea11aa15efe · outbound

This paper cites Management Science , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Management Science , volume=

Reference 19

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:fd93b0bb40ed56f80f74a48545bbb74f54a0fc9fa2650cc2c295776d91e3c81b

Observation a99c3fd6-55b4-4d85-a477-7923cf7cad60 · outbound

This paper cites Operations Research , year=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Operations Research , year=

Reference 20

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:46e07339e3521440eaf2f98b0149d9eb0dd59f4276b7af5d337b12e51b388d18

Observation 075fde9d-c243-4fed-8228-75cd4f406142 · outbound

This paper cites Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Efficiently Training Deep-Learning Parametric Policies using Lagrangian Duality

Reference 21

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arxiv_id, observed 2026-07-04T19:30:07.023969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:01721d59e1e3c3483d3a2626fb1d75e4d4e9f149c419f0525229957f2aecebc1

Observation 170b924f-0ce6-4759-9ce9-5cabc2e71035 · outbound

This paper cites , author Chenreddy, A.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application , author Chenreddy, A

Reference 22

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doi, observed 2026-06-25T21:28:28.055748Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:8b8472e9b425baa4916df586129699a6ec0974c21d1092e0db8e0888c16db1e1

Observation 3804d1da-ef69-4d02-a369-f4818ca55988 · outbound

This paper cites Manufacturing & Service Operations Management , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Manufacturing & Service Operations Management , volume=

Reference 23

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:ee20d57174cb16e1b3733c4bb9ad96646d38335fe81e7912e52058b60c922098

Observation 1a9a5b93-ac36-448d-998f-02aece86a37e · outbound

This paper cites 2024 , publisher=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application 2024 , publisher=

Reference 24

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:2c767f6b4c55856864592a7dba4bac22bec4cf60e5e28f110ee4e24f21698991

Observation 787c4451-0c12-4ecb-9074-9087c25f30f7 · outbound

This paper cites Optimization Learning.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Optimization Learning

Reference 25

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arxiv_id, observed 2026-07-04T19:30:07.016155Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:64ad1d552a357d2bb9ccdd4adadfafcb6486f1d839efb3fb01576b13e3337ad8

Observation 09fed1e0-974a-43d0-8f2f-f39ea2358cec · outbound

This paper cites European Journal of Operational Research , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application European Journal of Operational Research , volume=

Reference 26

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:a145423eb87d585e96d21e4f6ff2805edb6547dd595a738453dc8550e3e80799

Observation 4486c36d-6ad3-49f1-b942-b3ff23f7f875 · outbound

This paper cites Computational optimization and applications , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Computational optimization and applications , volume=

Reference 27

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:a0ce2fffb79fa4b60fd947703cb53db33016b95dbb1722b95eb747206a0665f4

Observation 44469913-02cd-496a-b8b4-05a083689928 · outbound

This paper cites 31st Conference on Neural Information Processing Systems (NIPS 2017), Time Series Workshop , address=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application 31st Conference on Neural Information Processing Systems (NIPS 2017), Time Series Workshop , address=

Reference 28

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:28f97a31c1b5474a81615c787bccdf159830aa099c89a8199ff985b85fe1934e

Observation 60eaa509-5874-4f5e-b1f5-2d4592a1a559 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 29

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:f0f8ee650f741f03167aa98433aaa9c6c4b0f574b9df89eb3ab748ad27fa2312

Observation 3f60090d-6b15-4c5b-9eb5-5614aa9cc468 · outbound

This paper cites Conformal Predictive Distributions for Order Fulfillment Time Forecasting.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Conformal Predictive Distributions for Order Fulfillment Time Forecasting

Reference 30

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arxiv_id, observed 2026-07-04T19:30:07.013161Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:fa6e0e0900bd5c2b6fae257603726738206371be5bace04cb6f4a378e26a4d8b

Observation 7ca72bcf-b40f-4628-b87b-912cd26bcae3 · outbound

This paper cites Manufacturing & Service Operations Management , year=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Manufacturing & Service Operations Management , year=

Reference 31

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:6d66a201d456c4fba7eda9bd0bc5055fa4f2ebb3ab596a1b729ed55201654dc3

Observation a41c16fa-8465-4c8c-b624-35474752fd32 · outbound

This paper cites Annals of Operations Research , year=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Annals of Operations Research , year=

Reference 32

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:d6f87595d8523e19ae1375f0a78aee8a1fc6c449ea16c217641e675efefdf56c

Observation cd9123fe-dfbe-47dc-b74d-0e779b01a027 · outbound

This paper cites Journal of Artificial Intelligence Research , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Journal of Artificial Intelligence Research , volume=

Reference 33

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:d8c8ae063058b605efa092dc77c7dce4f66004e425617c5663a75c9fab9b6341

Observation 1965c3e7-f849-4fab-8b14-e8a0bcfd5d4b · outbound

This paper cites Deep Sets , volume =.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Deep Sets , volume =

Reference 34

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:55c959a83513cf4c7aba699ae765ad1c274cfefd7ab5422c338ac881f6eca67d

Observation 29c5c611-2610-4711-a19c-fc302c5ff50a · outbound

This paper cites Management Science , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Management Science , volume=

Reference 35

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:c767387badcdbbdfc2044366b8ec5ae38ada07cbf93f54bd3ccbc0d510d6ce1e

Observation 22bfecdf-62c3-4bbf-8807-13dd4529f999 · outbound

This paper cites IEEE Transactions on Power Systems , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application IEEE Transactions on Power Systems , volume=

Reference 36

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:264b8b90f3e0d6cf5042263e664dc0656ba02f5ff7bed17c317f52bcc297067e

Observation 60e4dfe3-fcc2-4373-9207-8a279ec13c2c · outbound

This paper cites Stochastic Systems , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Stochastic Systems , volume=

Reference 37

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:b087bff17f708aebe59baaf1f36711a56b1616290952907b2cf401266d57d057

Observation c236a1ba-5b4e-43dc-a86f-f2119bf680a8 · outbound

This paper cites Surveys in Operations Research and Management Science , volume=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application Surveys in Operations Research and Management Science , volume=

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:e7cfc0519a5314a0f5a995e437951ca1330063bb3476f495dfe9aea7b1f76189

Observation 977ea396-4632-4cb7-8114-fdbe74be9c62 · outbound

This paper cites 2025 , howpublished=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application 2025 , howpublished=

Reference 39

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:526fca17acb3e1557bb80aa8f8f56f2bc6618a80c53da6abad9376597de365a5

Observation 4875203d-8914-4dac-8fa0-12eb1b43f224 · outbound

This paper cites 2020 , howpublished=.

Learning Optimization Proxies for Sequential Contextual Stochastic Programs: An Order Fulfillment Application 2020 , howpublished=

Reference 40

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no resolver link, observed 2026-06-25T21:20:42.768437Z

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source=arxiv_source observed=2026-06-25T21:20:42.768437Z digest=sha256:7486e143c5b5c8834df64c069bc55d0d0a17f6df027fe1ac1d5930900ac77d11

Pith citing papers

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