Pith. sign in

Paper Citation Record · LEDGER

Generative Distributionally Robust Optimization

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.24983.

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

pith.paper-citation-record.v1
2607.24983 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T08:43:20.719860Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

24 of 24 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved22
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7db9625f-31b7-494d-b49e-d3590597700d · outbound

This paper cites For each day 𝑡, the input context𝑋 𝑡 is a historical demand window.

Generative Distributionally Robust Optimization For each day 𝑡, the input context𝑋 𝑡 is a historical demand window

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.717333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.717333Z digest=sha256:d9190c24d4c5902b789f39d092ade42a7629b7f1a29419fe53ec877ed5da7a36

Observation e9b791fd-eb7e-4fea-b1ad-e2bc63dd1e12 · outbound

This paper cites The KL term in (2.7) is nonnegative, hence OT𝜀(𝛼,𝛽)⩾𝑊 2 2(𝛼,𝛽).

Generative Distributionally Robust Optimization The KL term in (2.7) is nonnegative, hence OT𝜀(𝛼,𝛽)⩾𝑊 2 2(𝛼,𝛽)

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.706506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.706506Z digest=sha256:3e85fe9b3fddbf0c94e040b77d11645f9b36ae72f5375428c85abe44ba5af595

Observation 89a6be96-c346-4ea7-bdf4-2e1cb98e085e · outbound

This paper cites The loss is the multi-product newsvendor cost 𝑓(𝑤,𝑌)= 20∑︁ 𝑗=1 𝑐𝑢,𝑗(𝑌𝑗−𝑤 𝑗)++𝑐 𝑜,𝑗(𝑤𝑗−𝑌𝑗)+.

Generative Distributionally Robust Optimization The loss is the multi-product newsvendor cost 𝑓(𝑤,𝑌)= 20∑︁ 𝑗=1 𝑐𝑢,𝑗(𝑌𝑗−𝑤 𝑗)++𝑐 𝑜,𝑗(𝑤𝑗−𝑌𝑗)+

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.714835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.714835Z digest=sha256:6d2ee0e83fe0c66fa4ec554cab06d8bf24b9229c98e8cdeee1719837ae937d35

Observation 40c174c0-867d-4396-b689-9af0992cb9a0 · outbound

This paper cites Rui Gao, Xi Chen, and Anton J.

Generative Distributionally Robust Optimization Rui Gao, Xi Chen, and Anton J

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.670958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.670958Z digest=sha256:310de2eb620720b98732ee3612e2737172bdc398ae6799be839f7b9ffd43bea1

Observation 7b1d7d7c-d04c-44b7-a595-9a0df5053d2f · outbound

This paper cites Ivan Kobyzev, Simon J.

Generative Distributionally Robust Optimization Ivan Kobyzev, Simon J

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.679296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.679296Z digest=sha256:84cd5635f25c48bedde396424523fb85ba578dd51569449a508491f925a03cd6

Observation ac90ba06-d525-4d80-88bd-d3657985a4f6 · outbound

This paper cites Distributionally Robust Optimization.

Generative Distributionally Robust Optimization Distributionally Robust Optimization

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.684224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.684224Z digest=sha256:0d728665c1b9e79472327448cb2a75823047329daa7d6e737b25abc213d086f9

Observation 95fd1546-fc4a-4245-abee-a65b86c05fd5 · outbound

This paper cites Hongseok Namkoong and John C.

Generative Distributionally Robust Optimization Hongseok Namkoong and John C

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.687354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.687354Z digest=sha256:eb41df26b187145684c21111719fb5939b2a137d40d80659e4ea22610b3d7a9f

Observation da2efc27-027f-40b2-9b64-ac81bd0f8fbe · outbound

This paper cites Hamed Rahimian and Sanjay Mehrotra.

Generative Distributionally Robust Optimization Hamed Rahimian and Sanjay Mehrotra

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.690507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.690507Z digest=sha256:5363334decb44e24a231b3e9245d3d7e8a0b2eef626a6bdece6c96006504a1b4

Observation 046a57b5-6f7c-4cd7-a91b-5420eef8e855 · outbound

This paper cites an unresolved cited work.

Generative Distributionally Robust Optimization Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.693144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.693144Z digest=sha256:31c26a9a2c37891a53c5ccf47dc1184c02134345bb52350047db5b66cb8533eb

Observation 448cef79-e40b-415f-b7d6-e766401a432d · outbound

This paper cites Distributionally Robust Policy Learning via Adversarial Environment Generation.

Generative Distributionally Robust Optimization Distributionally Robust Policy Learning via Adversarial Environment Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.695724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.695724Z digest=sha256:b4e1e7e735f24abc3f4902c313b3a1185818c43119747029c55aa98ae3843887

Observation 3d80b908-31b1-484e-8e98-9e3c6b804be4 · outbound

This paper cites Learning decision-focused uncertainty sets in robust optimization, 2025a.

Generative Distributionally Robust Optimization Learning decision-focused uncertainty sets in robust optimization, 2025a

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.698615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.698615Z digest=sha256:ffb98a49e8f597ac78204ed7c5f6536fe966e3627eb915f11cc4949f63e43226

Observation 9cb1a388-dae1-47ab-8125-57f2f9bce6ae · outbound

This paper cites Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization.

Generative Distributionally Robust Optimization Nested Stochastic Algorithm for Generalized Sinkhorn distance-Regularized Distributionally Robust Optimization

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.703435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.703435Z digest=sha256:654e08aa15cf8d72c970fc39dd4b6ec4241fc0ca001e12762693ca32e89ea715

Observation 6a22b537-593b-4228-99ff-1b8163a797bc · outbound

This paper cites an unresolved cited work.

Generative Distributionally Robust Optimization Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.709521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.709521Z digest=sha256:4ab079e41fb7b9a56ad61cda851d29b39cb5b1f38bb4b0ef9a29e4a189854e8b

Observation 9dc12d19-6055-4ce5-b3e8-ca5b57f52f42 · outbound

This paper cites The decision update uses the average outer subgradient over the active inner adversaries.

Generative Distributionally Robust Optimization The decision update uses the average outer subgradient over the active inner adversaries

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.712267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.712267Z digest=sha256:74ab15a1cd44122da0bc45e583c76abe55d32b8cf30e1723f67145d0237122b3

Observation 5ca0eee8-a3e2-4db7-8609-130be940dee0 · outbound

This paper cites an unresolved cited work.

Generative Distributionally Robust Optimization Unresolved cited work

Reference 24

Resolution
malformed identifier
no resolver link, observed 2026-07-31T08:43:20.719860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.719860Z digest=sha256:c9494cae18b7dd200fae06d4a5c88a939589785d2751c71d81d5b0dbffc2aa7f

Observation 6187df99-3335-4dc8-956a-04e213889603 · outbound

This paper cites an unresolved cited work.

Generative Distributionally Robust Optimization Unresolved cited work

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.662153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.662153Z digest=sha256:65e9e676e9d768ee7b369d24df3e573d7c7a06e8ed9df23c91ee1f1ac389c829

Observation 4c014222-6e6a-4cd5-8bf5-896c42444a2d · outbound

This paper cites predict, then optimize.

Generative Distributionally Robust Optimization predict, then optimize

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.665076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.665076Z digest=sha256:75c55f0b68176e85ed50e6265a46ae82c40f0c4848d1e7d4e86fd89683c9dba9

Observation cf4f8e98-4c23-4ca0-89f0-59b040a54fdd · outbound

This paper cites 2018.00240.

Generative Distributionally Robust Optimization 2018.00240

Reference 2018

Resolution
malformed identifier
no resolver link, observed 2026-07-31T08:43:20.676756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.676756Z digest=sha256:57aacc8166314d76f3eebca885f4abcdc45f06d6f17b63cb15d6b1d2473fefbe

Observation c50d1a95-d063-4e1c-9881-6b464a6dcdd6 · outbound

This paper cites Giorgio Costa and Garud N.

Generative Distributionally Robust Optimization Giorgio Costa and Garud N

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.655371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.655371Z digest=sha256:1f70f42083ff8c61321127e95561bfa838c6cae927d1d864f808a959ba6b2422

Observation 2d585715-4a28-4bb6-a76b-bfe127329b5b · outbound

This paper cites Daniel Kuhn, Soroosh Shafiee, and Wolfram Wiesemann.

Generative Distributionally Robust Optimization Daniel Kuhn, Soroosh Shafiee, and Wolfram Wiesemann

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.681765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.681765Z digest=sha256:1d8b50dca475eeda8fff0a4d27bae5d7fdc5ed0eb3b9120cdda853ce408b886d

Observation de4ba3f6-5589-459c-bc24-fe194298ff70 · outbound

This paper cites Jean Feydy, Thibault S ´ejourn´e, Franc ¸ois-Xavier Vialard, Shun-ichi Amari, Alain Trouv´e, and Gabriel Peyr´e.

Generative Distributionally Robust Optimization Jean Feydy, Thibault S ´ejourn´e, Franc ¸ois-Xavier Vialard, Shun-ichi Amari, Alain Trouv´e, and Gabriel Peyr´e

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.668151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.668151Z digest=sha256:97a9da294428def1e429eb95f0dcc1178675904a2b654d96b40c38a0aeb9055d

Observation a2d99470-2bec-4302-9505-9e7d79064053 · outbound

This paper cites 14 Marco Cuturi.

Generative Distributionally Robust Optimization 14 Marco Cuturi

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.659016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.659016Z digest=sha256:58e00a27648f250b66182e00b13b67c7004520329b9d3c66d471fd8acd4457ad

Observation 21a58f6f-5076-4f86-84b5-7b4b6212231b · outbound

This paper cites Aude Genevay, Gabriel Peyr´e, and Marco Cuturi.

Generative Distributionally Robust Optimization Aude Genevay, Gabriel Peyr´e, and Marco Cuturi

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.673960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.673960Z digest=sha256:97962b64e9164a5c810b4c2d0f86571927a8fd2fc7b4db598aad41b8b9ee6cae

Observation ca6dae43-ecb4-4647-b1c0-ec30652c2298 · outbound

This paper cites Jiaqi Wen and Jianyi Yang.

Generative Distributionally Robust Optimization Jiaqi Wen and Jianyi Yang

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-07-31T08:43:20.700976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T08:43:20.700976Z digest=sha256:bb76d4269908bf05e7af22efb418414e67476ab90318ae3fb79acfc371f9c9eb

Pith citing papers

No inbound Pith citation observations are available.