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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:17.457556Z digest=sha256:ae42454ed37f887d3884b1e8096390231e8e2840350db95089bb198e44df14ac

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:17.628976Z digest=sha256:f9136426e5fb664613ef2d15d9dc852ae27a1b263f2c12113a915d3841d65318

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:17.806158Z digest=sha256:541c2d689270286c9dfc7478c1fe586c35cec3ec8f8c0eed509d952e4a94d5e4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:17.936334Z digest=sha256:2310a69163d46942c95d3469ded8ee0bed32edfbdb80a5d28f2510ee5d485602

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:18.102030Z digest=sha256:833adc96bfe36acad70872b010fc844a0adee53db976df95d0be7c373ca4b533

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=sha256:627b5ce90b39a73beaa5071a0cad1e5f13540f1c462d436856b4569652021a9e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:18.401455Z digest=sha256:3f1b652ad76397f1dcdab2232df293631757c2935c1ce1954095dde0892173d3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:18.568611Z digest=sha256:4c9cca96c50e185a4ef1469a9f0218e8d77178129890e9ef11b4bf5fa553cf2a

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=sha256:511e20e3a1eec34a246847fa45a84bf614823edafd22c992ab79b4b1b0cd1fbd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:18.845385Z digest=sha256:7c93a45feede4fde55ba7b39c9a12ab48f6435fe01abb878b57a090d95445093

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:19.048342Z digest=sha256:fc875d94a9cfb3c3c594146a52b58dd584339fe827d7db9a06b59717860fa814

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:aff2a2971260fe98344c583172a7a116ea7eaec9e41c5b181fe135dad44155ce

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:19.339878Z digest=sha256:f953e998517188c231413182b830ba81a4af36b88ca16ce54d61ebaf83b6d5cb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:19.505378Z digest=sha256:2108aeb1a7c99276dae79e90bf9ec5b976fbc184c42586c5cce92175bc5900c0

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:19.636115Z digest=sha256:7fe57850b5235316ba71966b892651a445397981b4721b05527ba2e80540c276

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:19.810686Z digest=sha256:5d78d609cf39f652f7d1b24f83a402b8039cdf6d958eca51f872a34e8a8eaefd

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:19.968648Z digest=sha256:412405845c42c80b9c28c9106b15726d39358ca8a77d0fd15be41d2aa243bf84

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:20.131629Z digest=sha256:7c33057115f793cf19d394e1cc9977128e3a1c4c2daa2f1b4cec802b1a3e6c11

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:20.299912Z digest=sha256:0070ed192613c65cda26d7fe5bd935b58a1ed0c9ad3f9669eab0192e60ee22e5

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:20.458170Z digest=sha256:f063899067356f4eecb5c95b57eec0f856bc11315aef0ee8d60426e57e352a0f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:20.636913Z digest=sha256:f4a63b62d9b7d3bdb3e94755c8d9bea741ea369e9be848c4f3433b02a7a108da

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:20.819230Z digest=sha256:0744838d8a77f4e069adbbcae6c97e3ca9407eb6e29cde6efd5e93a6be5b1186

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:20.983422Z digest=sha256:682a985bf7b2cf9013f977563c6613269f2c13dfe9e186ad7135e7112066d7fb

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:21.160184Z digest=sha256:2ef6c21580b6ab554dff82fcd93abcdca036a858cd4ee308fee20d589ee06603

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:21.298705Z digest=sha256:30b81de87074f106945ba5e1f7335831eb7a6388ce22bedc830db490dfefbbb3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:21.442718Z digest=sha256:59003663bdfc0b23e2ab055a272ce3d48fa58ce339bd7f9eaa27de37d5865f65

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:21.562635Z digest=sha256:36fcb5115bd8dbeede90809d98610172c4dd2fb713df6c3c78520147a0a972b4

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:c2fc881f7f8559465293cac71cda1112bc66dccff1a7d8d4b7320187b36e5983

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:21.838233Z digest=sha256:2b927d1e97ac26649a6ab3f26bbdb01cc49127510fed2147b24e5646c831fad3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:21.976371Z digest=sha256:5a2542425bda71693bb494b94c43fa9254d19f72a0978661d08f692a4d4be1f9

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:22.119314Z digest=sha256:bc9805d163674f12a59bd6add9b0e4a6c88e1ac423809affc39b07ab53235fc4

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:22.259525Z digest=sha256:df9f096e0ac14aeb285a195340ff3039a067bdcf2d3ad5377c68087b1353143d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:22.379376Z digest=sha256:a8fbd17ed4c85ef5c812d4936b362d4cc1d2da80084220f94e8faddb81844a45

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=sha256:17a94d88f8261556d4d12e80bcb2e65ca12ab5b267ababb08a92f3784fcdbe6a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:22.691016Z digest=sha256:6fc261c5e396bf87b66991433f4d022cefaae2023e106bba640dfb4edd8d08c7

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=sha256:2fc4784e50954922b528e8d02dde39ce7003597d136b1635407c38d02c43f47d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:22.937062Z digest=sha256:0c8b63408447d50f58de9cd20e13575e7a3ae46ea6303a324492d16204aaca9f

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:c28363bae42aa94c1751e502735bf35f76e0a7db0dc11c1706f7dd2a224b4906

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:23.262732Z digest=sha256:7dc04993aecee999b1257ddb9cdc325ed52f956656f32d7a05978064ba16f8a2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:23.424774Z digest=sha256:b3f037ca8882c20545148082a88e73d9ccf41f1b65b58e1d7fde6fc9a62742aa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:23.763795Z digest=sha256:94c49e500144d6e3e2e72bcbc5aa2c7bec622e65f7fedc69dd0660dae48cd451

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=sha256:073790a784a7887525e35aa69ba4dc3af6ac09474df6c55afea88a5ea3a9b695

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=sha256:6a68323098969f6807d57b7005fb792a556503d5d88906654de7e21409660ee6

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:25.844034Z digest=sha256:805a62e570468839486334be26431d47e39ef34e3260b16121677cf029ac3d2e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:25.937725Z digest=sha256:d9ac2c4874c5e0e71930753072fa45626cbc099dd304d33bf4b0837b9bfc3eed

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:26.028617Z digest=sha256:c646521f1f223a5d2c938be229edced968d2bbabba34d609e2559c8eb9abffae

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:26.124641Z digest=sha256:8b823a9cbbe96b249969f1b86d01565cefded1616b92ab92cda1486d88751371

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:26.307120Z digest=sha256:10359321abcc420cb8de8b0f0964516f3383845e7f68c87ed5f8a97223bb9474

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:26.806082Z digest=sha256:c87e610d259a6b676f00daeeb2b38d5a9721581b1e8bf5d65a0bd87a709ac150

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.121562Z digest=sha256:af2cdf4854be92862a1828547d62d77622f4ddb7f2e53660173f43839a54fa69

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.179666Z digest=sha256:693582c9a088e5fee76ef2cacb104ff81348460f4398fff5ef546715d36e6b1f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.248710Z digest=sha256:fae020b68c70b8ada7c703cb9757ad5bcee4522deb70de0c16676c3e64fc3e1a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.315671Z digest=sha256:a9867e122c7acb9bf6e94e5da95dce8d6c69d3d6202465caba1544bee72403f7

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.410373Z digest=sha256:9be191f42028dbb645c570c4e0ce86141b1b36adb3e7d4af9ebc9638c42d65da

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.464940Z digest=sha256:0de9af178777998ee267d29a66b607c207b3203aa386f9e9606cc03af2c1ea39

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:c817f200df2abcbaf17bd6c56d6e7c3dfead3ec028c3383eee0c777895454c21

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.597368Z digest=sha256:a425ef6d614d4c5e688fe344de1d3fe4e8edb451a8698a028c1ef2f9e9106442

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.682527Z digest=sha256:b4386f066e5f85bebff6902e78e04b03d56cdf56b0ff3376a9db17965cb4507c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.735709Z digest=sha256:280fb72fe7988edab37df709d6d274ea268f03cd02459a8d1d73479cce407f61

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=sha256:016a4a767f25902836d5ff341a152ace8768eddd2ed57eda1d724a02869ddd42

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.904143Z digest=sha256:c8f6f562f2006f63c97c576e973ab554052a5116d9ef5ef257f82b1b0be1e1ec

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:27.977208Z digest=sha256:cf64bc31cbd9205cf503fcb642ae4246e047c7febe3a8e001003125aefde090e

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=sha256:3d440ad65c46c2195f1980762958edce149beb7ad324dd7607e74b87095525ee

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:28.123991Z digest=sha256:d4d864471fa66479c4f1ca4e8af99c2a1cbd38bfe1f8cae6c44800c7a18dd74f

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=sha256:32b39dec3a71700ed8d1561933653e3eacd5842105fd18f28cd12baa7573c818

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:28.306179Z digest=sha256:51aadf7695f1b4018e7e3d34e0819f2b19189e589637e5127bfc68ec8418949b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:28.390153Z digest=sha256:8c4b817f99bff25c5fd774acb359b2fa093e719c263d8713f7c5a1aafc5e0b46

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:28.454151Z digest=sha256:5123dced7a9c98da5c3813a30f79cb23c0fdd53259ae610c120c58667e9fcefa

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:28.563181Z digest=sha256:d224a0dfbba81dd070e8a23c9688365cb58c0aa1d65b69debe04f0f98b62edf3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:44:28.644894Z digest=sha256:5a9c814805f0eaad65cf45273ccc2fcfacdc46623c3e4423e742f3553852dcc1

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:32:02.519645Z digest=sha256:07d3bf3ddfc7a6deda0cc386deecc6f0c119dc1eb6a8791bfb48f7f5a3f689fa