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Paper Citation Record · LEDGER

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling

As of 10 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 1 inbound Pith citation observation for arXiv:2506.07299.

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

pith.paper-citation-record.v1
2506.07299 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:44:28.644894Z

measured 71 of 71 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:32:02.519645Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:32:04.512961Z

Reference resolution

70 of 70 outbound references displayed

  • verified exact2
  • verified fuzzy52
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 436d71e2-a92e-40cc-8d65-e1f983f6f31d · outbound

This paper cites Coherent measures of risk.Mathematical Finance, 9(3):203–228, 1999.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Coherent measures of risk.Mathematical Finance, 9(3):203–228, 1999

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.918347Z

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=pdf_text observed=2026-08-07T05:44:17.457556Z digest=sha256:ed03ee9bbb8409fc02e21ec96cf47f9c4e209492e9f191dd5c207a5f3fad7442

Observation a17eac34-852d-4464-8ee1-5444e25369d9 · outbound

This paper cites Bailey, Jonathan M.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Bailey, Jonathan M

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.907578Z

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=pdf_text observed=2026-08-07T05:44:17.628976Z digest=sha256:9536884411f2db38e073ca703f39086938bdd44a3fd6382f7d5d960a04e2253b

Observation e9de1145-57e1-42d1-8266-e6dda33b09ef · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:33.897154Z

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=pdf_text observed=2026-08-07T05:44:17.806158Z digest=sha256:b1781270407cc345395335a2afc8928f939b7f42fc5301ed87f48bb24529b6c6

Observation 19416406-0fd2-4902-9372-eb41275dee61 · outbound

This paper cites Brown, and Constantine Caramanis.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Brown, and Constantine Caramanis

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.887002Z

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=pdf_text observed=2026-08-07T05:44:17.936334Z digest=sha256:3f9144760d42ee642a007f0493c30a2e407ede1dc3f42a028e55dba5e881a6ba

Observation 84e79aa5-1c0d-4a0d-8ffa-f0a31296cfe5 · outbound

This paper cites Bielecki, Igor Cialenco, and Marek Rutkowski.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Bielecki, Igor Cialenco, and Marek Rutkowski

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.875949Z

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=pdf_text observed=2026-08-07T05:44:18.102030Z digest=sha256:9d48f6b0a900d8eabf5db922be08146321397645d5add6050770d31f1cfbfaad

Observation bc3afc2e-7b69-40d7-b153-eaa2064550ac · outbound

This paper cites Global portfolio optimization.Financial Analysts Journal, 48(5):28–43, 1992.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Global portfolio optimization.Financial Analysts Journal, 48(5):28–43, 1992

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:18.280153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:18.280153Z digest=sha256:c35f749b6068874d6fbf16498246b8190f10d2c458d17be997bf3b85485fa72c

Observation 02d932e8-58bf-4686-a494-d72633d8d0a6 · outbound

This paper cites The pricing of options and corporate liabilities.J.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling The pricing of options and corporate liabilities.J

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.860232Z

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=pdf_text observed=2026-08-07T05:44:18.401455Z digest=sha256:fce555ea7d7815b92515e8876957a22a95832baf6c66b0cf0773edd463100fc7

Observation d81008a7-7edf-4616-a23d-2be568f5f7e1 · outbound

This paper cites Large-scale machine learning with stochastic gradient descent.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Large-scale machine learning with stochastic gradient descent

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.849708Z

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=pdf_text observed=2026-08-07T05:44:18.568611Z digest=sha256:7ef693ad875c026ca20a916a1eb3c1c07701d50eeabbcece33d431749ecdefad

Observation 3a6105d6-1e5e-43e4-a968-f4efc815a8a7 · outbound

This paper cites Stochastic gradient descent tricks.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Stochastic gradient descent tricks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:18.711724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:18.711724Z digest=sha256:416d4b8dc2be1f47513e5109d33ef4018e4de2149f8e67b0f747e0f7a8682c11

Observation 6322debe-9c20-472a-9ce2-33da302ac650 · outbound

This paper cites Buehler, L.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Buehler, L

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.833240Z

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=pdf_text observed=2026-08-07T05:44:18.845385Z digest=sha256:5599874cb95758fde8ebd235600b5f1fd2934035844d5e5a1e792fa3d234f59a

Observation c074c6ec-47ee-4481-b4f5-b86df2ecd00d · outbound

This paper cites Deep hedging.Quantitative Finance, 19(8):1271– 1291, 2019.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Deep hedging.Quantitative Finance, 19(8):1271– 1291, 2019

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.823351Z

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=pdf_text observed=2026-08-07T05:44:19.048342Z digest=sha256:420f2fe1005c05bf79398a432260715a97ddeb8da405e39101a4bc99cb9151de

Observation 9f7429e8-fac5-4e5f-8d02-8d7f95e42526 · outbound

This paper cites A Data-driven Market Simulator for Small Data Environments.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling A Data-driven Market Simulator for Small Data Environments

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:19.215434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:19.215434Z digest=sha256:f2bdccca2fbdab3237766432460c583624c677ec3023e3d9dae7142c44db2c16

Observation a59a20fb-55c3-4b96-8a31-bbe100021fed · outbound

This paper cites A data-driven market simulator for small data environments.SSRN Electronic Journal, 2020.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling A data-driven market simulator for small data environments.SSRN Electronic Journal, 2020

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.813130Z

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=pdf_text observed=2026-08-07T05:44:19.339878Z digest=sha256:e0f2f2b83d660968f88f331b7450156eb6c67c0233ae8bca02dbfc7e8bcda6ba

Observation d90501ea-034b-4362-ad79-33339a75112e · outbound

This paper cites Deep Bellman Hedging.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Deep Bellman Hedging

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:44:28.979990Z

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=pdf_text observed=2026-08-07T05:44:19.505378Z digest=sha256:b84d596482849eb6234803140364e83dc7306de5174632c64528fedf9cacbd70

Observation be82456c-e683-4aa7-baee-b0ea38acab53 · outbound

This paper cites Campbell, Andrew W.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Campbell, Andrew W

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.802556Z

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=pdf_text observed=2026-08-07T05:44:19.636115Z digest=sha256:60aa998b41a83f7cd2404896252cd2cf015001081bec5b658c21ed162508b01e

Observation bcd15add-3513-477d-b75f-6e435329d55f · outbound

This paper cites Algorithms for cvar optimization in mdps.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Algorithms for cvar optimization in mdps

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.792397Z

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=pdf_text observed=2026-08-07T05:44:19.810686Z digest=sha256:cfa33758e8f518e155d9ac40253ab85d2ae6e405f698e04266a77d4d5a0d3b26

Observation 6a455a9a-2d04-43f7-bfb0-d649ff78b6fd · outbound

This paper cites Risk-sensitive and robust decision-making: a CVaR optimization approach.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Risk-sensitive and robust decision-making: a CVaR optimization approach

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.782087Z

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=pdf_text observed=2026-08-07T05:44:19.968648Z digest=sha256:5329abc1d4735d54b7a12956ff93e2d8523ca4d7295197bc9767f1ff011b8183

Observation bb984e54-b4a8-404b-b3dd-dfdb1c482f02 · outbound

This paper cites Springer, 2017.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Springer, 2017

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.771923Z

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=pdf_text observed=2026-08-07T05:44:20.131629Z digest=sha256:0118aed7790ce8179e3abd4abb8bf8139d73b99027a41a46066ccd188997a308

Observation 4f66f458-95b8-45a9-b54d-350ca665b333 · outbound

This paper cites Springer, 2001.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Springer, 2001

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.761578Z

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=pdf_text observed=2026-08-07T05:44:20.299912Z digest=sha256:eb28e18a60772e5578edaee57eac4d8488744f96f081c14b229a0ba73407c36a

Observation 84dd3e0b-df05-4be3-bd62-cb43bff7097a · outbound

This paper cites Model uncertainty and its impact on the pricing of derivative instruments.Math.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Model uncertainty and its impact on the pricing of derivative instruments.Math

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.750424Z

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=pdf_text observed=2026-08-07T05:44:20.458170Z digest=sha256:f6b5afef2d26c7bdeaf816542049389a69c1cf8d28ee7a7f29e0975c93d7d150

Observation e8e38a92-82a9-40e1-b1e4-28232d64b879 · outbound

This paper cites Risk measures under model uncertainty: a bayesian viewpoint, 2022.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Risk measures under model uncertainty: a bayesian viewpoint, 2022

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.739679Z

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=pdf_text observed=2026-08-07T05:44:20.636913Z digest=sha256:cb821918a729cc2ad7643b893e78ad49bbab57dc4ba5d30a5b317c09f3789ac2

Observation 5716cec6-85a2-499a-aa45-e8753fd4fce3 · outbound

This paper cites Istituto italiano degli attuari, 1940.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Istituto italiano degli attuari, 1940

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.728741Z

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=pdf_text observed=2026-08-07T05:44:20.819230Z digest=sha256:67fc1a35e6fea9f81bf2f38d7b1a7ebaebcf91d4938db56569c9233b0646137b

Observation d63f97f3-87dc-4c83-8357-a22cc1c0e2d2 · outbound

This paper cites Distributionally robust optimization under moment uncertainty with application to data-driven problems.Operations Research, 58(3):595–612, 2010.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Distributionally robust optimization under moment uncertainty with application to data-driven problems.Operations Research, 58(3):595–612, 2010

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.717235Z

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=pdf_text observed=2026-08-07T05:44:20.983422Z digest=sha256:8cfb12878e366190b6796638ee787c7888f81200dabe37815748b65ce48cfb4b

Observation 48c6dab6-3d6c-40ba-b488-207af3b6f2ab · outbound

This paper cites A theoretical framework for the pricing of contingent claims in the presence of model uncertainty.The Annals of Applied Probability, 16(2):827–852, 2006.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling A theoretical framework for the pricing of contingent claims in the presence of model uncertainty.The Annals of Applied Probability, 16(2):827–852, 2006

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.706191Z

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=pdf_text observed=2026-08-07T05:44:21.160184Z digest=sha256:509bb3e0e01810b355c167c4ab200ec6500269e3efd7e3b43aa2dc3190cf0440

Observation f22f3c56-0187-4961-a395-2355c3943a58 · outbound

This paper cites Estimate nothing.Quantitative Finance, 14(12):2065–2072, 2014.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Estimate nothing.Quantitative Finance, 14(12):2065–2072, 2014

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.695411Z

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=pdf_text observed=2026-08-07T05:44:21.298705Z digest=sha256:f3d2697cb10f6352edb168c96241263f22005b914223bab5de0e84bb8b557cf7

Observation 7d4504cd-e709-4121-afe9-dcaa827f296f · outbound

This paper cites Princeton University Press, 2010.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Princeton University Press, 2010

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.685441Z

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=pdf_text observed=2026-08-07T05:44:21.442718Z digest=sha256:02aafb52111fe06783569541e027882bbbfafb10f3bcf5eac58b8e65fba4a154

Observation 446477d4-5390-49f6-9b4f-f17b5981ca6d · outbound

This paper cites John Wiley & Sons, 2013.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling John Wiley & Sons, 2013

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.675629Z

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=pdf_text observed=2026-08-07T05:44:21.562635Z digest=sha256:0b543d91f660746a1515ed0d1955cb655f3cfd273994c4a979512e55c5fc9742

Observation 699db4cd-252f-4d77-bd30-b4578286cd34 · outbound

This paper cites Bootstrap methods: another look at the jackknife.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Bootstrap methods: another look at the jackknife

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:21.729037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:21.729037Z digest=sha256:28b5501716cf343fb78251fcb5ea5c9539ef0f5417cbf9833361f3807ebd3b0a

Observation a4926c32-01e0-42ed-821d-dd33626184b4 · outbound

This paper cites Affine processes under parameter uncertainty.Probability, Uncertainty and Quantitative Risk, 4(1):5, 2019.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Affine processes under parameter uncertainty.Probability, Uncertainty and Quantitative Risk, 4(1):5, 2019

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.659330Z

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=pdf_text observed=2026-08-07T05:44:21.838233Z digest=sha256:e55af36483eaef6119b7bef1d3fddb84ff47ddb89696bd0a297a4fb6db6324d1

Observation 58e33b92-e93d-4779-b7c2-5372cb91e9e2 · outbound

This paper cites De Gruyter, Berlin, Boston, 2004.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling De Gruyter, Berlin, Boston, 2004

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.650064Z

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=pdf_text observed=2026-08-07T05:44:21.976371Z digest=sha256:495a36cd591abe36efc163cfacaf0444e81e9a82170c8b80752f99217c639a8c

Observation 815e4ccc-02e4-449a-8532-18bf74ebfe7b · outbound

This paper cites Portfolio selection with parameter and model uncertainty: A multi-prior approach.Review of Financial Studies, 20(1):41–81, 2007.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Portfolio selection with parameter and model uncertainty: A multi-prior approach.Review of Financial Studies, 20(1):41–81, 2007

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.640756Z

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=pdf_text observed=2026-08-07T05:44:22.119314Z digest=sha256:cb346dbf35002a353b73ee58f162fc202cccca0e1b928528cb6317e0e43cb15e

Observation 917b9f12-2973-4b4e-ba63-30475ddc0eef · outbound

This paper cites Pairs trading: Performance of a relative-value arbitrage rule.The review of financial studies, 19(3):797–827, 2006.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Pairs trading: Performance of a relative-value arbitrage rule.The review of financial studies, 19(3):797–827, 2006

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.629630Z

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=pdf_text observed=2026-08-07T05:44:22.259525Z digest=sha256:a727dbf0b9a0506d32a8a7074f67b2ee53fd20da00616d587d38afbb85d27d8a

Observation 11bbbf68-5d01-4b88-acbd-87ceb220c2da · outbound

This paper cites John Wiley & Sons, 2011.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling John Wiley & Sons, 2011

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.523731Z

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=pdf_text observed=2026-08-07T05:44:22.379376Z digest=sha256:905c31383d7fce5c1bd5c3c604bfe1bf6d6ae605c926df234a5ce5499e687161

Observation c9293478-f12b-4483-a130-f3cf4e1b4956 · outbound

This paper cites Robust risk measurement and model risk.Quantitative Finance, 14(1):29–58, 2014.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Robust risk measurement and model risk.Quantitative Finance, 14(1):29–58, 2014

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:22.543465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:22.543465Z digest=sha256:ea0edf7d7e5371c62903e72a45682272cf5d6195852cb56935778b6998328dc5

Observation 5d1c8277-0d18-4f62-a30b-c123d1350804 · outbound

This paper cites Robust portfolio selection problems.Mathematics of Operations Research, 28(1):1–38, 2003.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Robust portfolio selection problems.Mathematics of Operations Research, 28(1):1–38, 2003

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.394328Z

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=pdf_text observed=2026-08-07T05:44:22.691016Z digest=sha256:e0b53fdd7d60182a5b9d4ab81276752be756749a79a4fa5917d523a3903bb4dd

Observation af444b9d-a72e-4afa-be40-5963b958e214 · outbound

This paper cites MIT press, 2016.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling MIT press, 2016

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:22.834397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:22.834397Z digest=sha256:bafbdcd311afbdc79c96961e6fb43cebcc1d846117e815b35ef1fe73560fb568

Observation f96c9682-61d2-47df-9090-d2e63548bad0 · outbound

This paper cites Managing smile risk.The Best of Wilmott, 1:249–296, 2002.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Managing smile risk.The Best of Wilmott, 1:249–296, 2002

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.272426Z

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=pdf_text observed=2026-08-07T05:44:22.937062Z digest=sha256:71b6b0b0ba57e173cd3c4057485dcc11c94f8b8ab7b662f914b0f661cf786f8b

Observation 14591718-d6e2-4f3a-affd-41d1509eff25 · outbound

This paper cites Robust control and model uncertainty.American Economic Review, 91(2):60–66, 2001.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Robust control and model uncertainty.American Economic Review, 91(2):60–66, 2001

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:23.149529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:23.149529Z digest=sha256:b9bc985c16e83d7c6876172779828064a593a5669d82a9d7bfc098fac6faa9f1

Observation 6e70cb1c-e3c9-425e-8636-3d328cfc4a78 · outbound

This paper cites Sargent.Robustness.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Sargent.Robustness

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:33.170699Z

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=pdf_text observed=2026-08-07T05:44:23.262732Z digest=sha256:82ea3432e22973bb2398977ffcb45179cb52e67b181125a13a4545135731149f

Observation 8880dc50-fcbf-4000-91c7-6c73ca6e43d2 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:33.114254Z

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=pdf_text observed=2026-08-07T05:44:23.424774Z digest=sha256:fe7cca18920047a55345c8e1c833afcb5ac948e8c074d29f08d238c8dacf6a61

Observation 5fb5c5a5-6242-4916-81b2-49b4e48b9551 · outbound

This paper cites Deep learning in finance and banking: A literature review and classification.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Deep learning in finance and banking: A literature review and classification

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:32.982406Z

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=pdf_text observed=2026-08-07T05:44:23.763795Z digest=sha256:7f54d701950485ac1e867ce0d7f75f544537bccbde399c876fd3a33bf1a6c1d1

Observation 41dd9b0a-a89e-40ce-b722-4d777f110161 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:25.717927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:25.717927Z digest=sha256:6b94e62bbdaf31359cb5cae4a3e9e792842ce607072ee50c7c558fb6b01c9a72

Observation 1ece129d-e0d1-4716-b4f0-be64417379ac · outbound

This paper cites A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:25.774102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:25.774102Z digest=sha256:e6c2b0fd5f7ce0ea36716af96e7378ffbe898a9ea87ae0379beb1f91fdc2d114

Observation bdb959dd-feb0-48a7-9d10-2834fb3f8e97 · outbound

This paper cites Bayes–stein estimation for portfolio analysis.Journal of Financial and Quantitative Analysis, 21(3):279–292, 1986.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Bayes–stein estimation for portfolio analysis.Journal of Financial and Quantitative Analysis, 21(3):279–292, 1986

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:32.850481Z

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=pdf_text observed=2026-08-07T05:44:25.844034Z digest=sha256:fc69244fe696a75a2302a4385d6d06e2ee19efb1f1e5e28b3bfb21f5b923d6cd

Observation 763cd7c5-1cfa-4c97-8607-71d03ca83df1 · outbound

This paper cites an unresolved cited work.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:44:32.729179Z

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=pdf_text observed=2026-08-07T05:44:25.937725Z digest=sha256:2a8bae9bebf715006509d19cc90d6d28a6467414608c2f841b5004fe243c4969

Observation 1bdb0378-7af5-4463-9857-fbcd045a198c · outbound

This paper cites A smooth model of decision making under ambiguity.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling A smooth model of decision making under ambiguity

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:32.597520Z

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=pdf_text observed=2026-08-07T05:44:26.028617Z digest=sha256:680a4f3513286d276a2614387dd4f336d6de11d02cb7e9b9707ae1b567f6b829

Observation 308f3d9b-5eb3-4e5f-a49e-f5c363f7e554 · outbound

This paper cites Boston and New York, Houghton Mifflin Company, 1921.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Boston and New York, Houghton Mifflin Company, 1921

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:32.430293Z

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=pdf_text observed=2026-08-07T05:44:26.124641Z digest=sha256:83eacf5262290534c08ea02bca126702dca64663fc6f6846619c2d5c5b9c91ed

Observation 1822c7d5-914a-4a79-a480-d2951a16e203 · outbound

This paper cites Robust hedging gans: Towards automated robustification of hedging strategies.Applied Mathematical Finance, 31(3):164–201, 2024.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Robust hedging gans: Towards automated robustification of hedging strategies.Applied Mathematical Finance, 31(3):164–201, 2024

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:32.310580Z

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=pdf_text observed=2026-08-07T05:44:26.307120Z digest=sha256:6063f05cc46307316db0eaf650981d152e56091d89b8727259b56593a62cb836

Observation a7a2fa9b-a69e-49f1-89f7-4be1e60e6185 · outbound

This paper cites Robust deep hedging.Quantitative Finance, pages 1–16, 2021.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Robust deep hedging.Quantitative Finance, pages 1–16, 2021

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:32.196115Z

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=pdf_text observed=2026-08-07T05:44:26.806082Z digest=sha256:84ca273a308bd86da7365ac4994f9a9a281117ee51aa4433604a8a346988d6f7

Observation d00e1451-1686-4a6c-bca3-73d504bd6d55 · outbound

This paper cites McNeil and Rüdiger Frey.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling McNeil and Rüdiger Frey

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:32.086448Z

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=pdf_text observed=2026-08-07T05:44:27.121562Z digest=sha256:efe098a8de5800b71dabbfe8d8117c20d690d1199528e8aa0bf1cecb6b5842d8

Observation e2e6905c-202f-4212-be21-12c6ef59ab0c · outbound

This paper cites optimized.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling optimized

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:31.939258Z

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=pdf_text observed=2026-08-07T05:44:27.179666Z digest=sha256:e8a98d78dd1ffe8f22194e22071a341b28936e7d8c25c1df22c37eb50e2974ea

Observation ed83626d-3e1d-4832-b667-d92dded1e6a5 · outbound

This paper cites Data-driven distributionally robust optimization using the wasserstein metric: Performance guarantees and tractable reformulations.Mathematical Programming, 171(1– 2):115–166, 2018.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Data-driven distributionally robust optimization using the wasserstein metric: Performance guarantees and tractable reformulations.Mathematical Programming, 171(1– 2):115–166, 2018

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:31.815906Z

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=pdf_text observed=2026-08-07T05:44:27.248710Z digest=sha256:4241666e0aa9ee26cd003402d50563ffb3db41dd7724386d25d88c724709e68b

Observation 10e05d46-4874-4861-948b-1516a381b9cd · outbound

This paper cites A risk-neutral equilibrium leading to uncertain volatility pricing.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling A risk-neutral equilibrium leading to uncertain volatility pricing

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:31.681079Z

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=pdf_text observed=2026-08-07T05:44:27.315671Z digest=sha256:5638aefe8697fdfc44d550184a0815c34c4e987d077991083e06ce7f481032aa

Observation 3e59d1b3-02cd-4ef0-aa90-18030f1e248f · outbound

This paper cites Pakkanen.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Pakkanen

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:31.454087Z

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=pdf_text observed=2026-08-07T05:44:27.410373Z digest=sha256:ae2f9039b8f6a0bc91dcf25af9a7b292014fe96516efbf47c98f22dfd1f4b776

Observation 4eb5edcf-9bf8-4616-bf4e-78033cef21f4 · outbound

This paper cites Sig-wasserstein gans for time series generation.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Sig-wasserstein gans for time series generation

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:31.278204Z

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=pdf_text observed=2026-08-07T05:44:27.464940Z digest=sha256:83ce3fc326f6a6cd40e3e876b791b8edf5a99f090783987d96475fe2f87a58a3

Observation ca8eaa79-83ed-457a-9039-7e90c4529ad3 · outbound

This paper cites Conditional Sig-Wasserstein GANs for Time Series Generation.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Conditional Sig-Wasserstein GANs for Time Series Generation

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:27.549180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:27.549180Z digest=sha256:c497678f01125931ae1254d232a1f14e0c725779631f379369cf4361eb41f531

Observation d07951b5-5e26-45cf-ac90-0e20a21e9915 · outbound

This paper cites Deep exploration via bootstrapped dqn.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Deep exploration via bootstrapped dqn

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:31.116200Z

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=pdf_text observed=2026-08-07T05:44:27.597368Z digest=sha256:f70eb3cc0afc8afab257467940127d5e2ab44841470299eb21069cab6104f0fc

Observation 701d77cc-d001-4042-bbb0-d5b24fea4750 · outbound

This paper cites Estimating and backtesting risk under heavy tails.Journal of Empirical Finance, 65:1–22, 2022.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Estimating and backtesting risk under heavy tails.Journal of Empirical Finance, 65:1–22, 2022

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:30.997300Z

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=pdf_text observed=2026-08-07T05:44:27.682527Z digest=sha256:f13e70e5fc37de1e5e183c94d88e2f112fafd5c82788d10879ca1c612bf23e8e

Observation c2bf9472-c5fa-4498-a2c3-d02a7b70a177 · outbound

This paper cites A novel scaling approach for unbiased adjustment of risk estimators.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling A novel scaling approach for unbiased adjustment of risk estimators

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:44:28.818579Z

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=pdf_text observed=2026-08-07T05:44:27.735709Z digest=sha256:19ce898fa57ed68bfc2b21adb79e7630a182411548accd73327ab9814facad89

Observation df28fc36-d730-4bc6-aa1d-47943c28c3b3 · outbound

This paper cites A stochastic approximation method.The annals of mathematical statistics, pages 400–407, 1951.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling A stochastic approximation method.The annals of mathematical statistics, pages 400–407, 1951

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:27.830397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:27.830397Z digest=sha256:910ae1413038b14a1cc0ce1c51ac744a5800ffa0b5dda73b299ac93c4caf8a07

Observation a91082f5-0800-4264-a01a-bdbeef5769da · outbound

This paper cites Tyrrell Rockafellar, Stanislav Uryasev, et al.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Tyrrell Rockafellar, Stanislav Uryasev, et al

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:30.864390Z

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=pdf_text observed=2026-08-07T05:44:27.904143Z digest=sha256:44a58cc358a5582a2cf1195d6926ba53463db6e69addabc2e5769a0bb8ce6ab9

Observation 75777d23-ed35-47ff-a805-36b904c2ead9 · outbound

This paper cites Cam- bridge university press, 2014.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Cam- bridge university press, 2014

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:30.709792Z

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=pdf_text observed=2026-08-07T05:44:27.977208Z digest=sha256:2b875c705d98c863c45abef57d6c26eec5990894e5e89540327ef1da39ca4b53

Observation b5d7e76f-631a-4c37-b8da-cbb19440a3ee · outbound

This paper cites Shreve.Stochastic calculus for finance.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Shreve.Stochastic calculus for finance

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:28.071242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:28.071242Z digest=sha256:3218c6f598df8f11ec6f1600c559540c988fe07d26956a7a94ccc57b037c3819

Observation c969cf07-c789-4fcc-aef0-d3ca2ac68673 · outbound

This paper cites Shreve.Stochastic calculus for finance.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Shreve.Stochastic calculus for finance

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:30.318353Z

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=pdf_text observed=2026-08-07T05:44:28.123991Z digest=sha256:36e39ade30b24408e323cd0858cc8bd87edad3a37d855923905ed341f56fed92

Observation d2930bf8-77c6-4c17-bd0a-f6467789ed79 · outbound

This paper cites Policy Gradient for Coherent Risk Measures.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Policy Gradient for Coherent Risk Measures

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-07T05:44:28.225911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:44:28.225911Z digest=sha256:662235c4af63e081c314556149bbbbd61d57e1eedd7aca51a78a73eaee5360b4

Observation 08f5b134-7ef8-4893-a30d-349589f9c67b · outbound

This paper cites John Wiley & Sons, 2000.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling John Wiley & Sons, 2000

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:29.743994Z

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=pdf_text observed=2026-08-07T05:44:28.306179Z digest=sha256:98ba6577ef794be05298c1ce9688666a0feb314ecd44ed7c272195157804ae17

Observation 35e88fe8-588a-4736-80ab-14944df81e9e · outbound

This paper cites Wand and M.C.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Wand and M.C

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:29.581415Z

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=pdf_text observed=2026-08-07T05:44:28.390153Z digest=sha256:f30b933f4ac0e3026dd6f2702058c0cf030f31261e39639062d50433e0ed22de

Observation d80495f0-1f01-4758-81c5-33f60dead951 · outbound

This paper cites Deep hedging: Learning to simulate equity option markets.SSRN Electronic Journal, 2019.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Deep hedging: Learning to simulate equity option markets.SSRN Electronic Journal, 2019

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:29.424954Z

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=pdf_text observed=2026-08-07T05:44:28.454151Z digest=sha256:582a70bdeb29e60ad3330217fac496fbcf5e2011044a480fd01de2621a500d5e

Observation 6b42abeb-f6bc-48c6-acb6-db8a71b14160 · outbound

This paper cites Quant GANs: deep generation of financial time series.Quant.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling Quant GANs: deep generation of financial time series.Quant

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:29.291944Z

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=pdf_text observed=2026-08-07T05:44:28.563181Z digest=sha256:80f9ebed2d6834723dc7d027f5468bc6b4a9a594269eb1fe2103eb47c933d4bb

Observation f27b2bd1-72ac-4339-b1bc-bf8bd8f74f4f · outbound

This paper cites out-of-sample.

Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling out-of-sample

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:44:29.147530Z

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=pdf_text observed=2026-08-07T05:44:28.644894Z digest=sha256:86b533dbaedea795d566437fd1efa00fa620604fb6a997bf4dfb7c51dbfdc10b

Pith citing papers

Observation 116cf8de-294c-46ac-a6bf-c6874eabca1a · inbound

Robust Control under Stationary Ambiguity cites this paper.

Robust Control under Stationary Ambiguity Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:32:04.580766Z

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=pdf_text observed=2026-08-06T15:32:02.519645Z digest=sha256:2bec7d7a4ba15d400780b43746968cf278ac61fa18c6184340c973d9527713f9