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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:17.457556Z digest=sha256:de5d51e8bb0120898e8904fae4e9805567ff34a4b574b2f060355a8d3d19bc95

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:17.628976Z digest=sha256:34c493d630f58b460ccb574a88e7060eba5ab3e5c5b6e82187ba75d8fa29ffca

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:17.806158Z digest=sha256:2251033d367a7bed8ab45aa52f3a1e752fe562085e580294a55c12d545f648fd

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:17.936334Z digest=sha256:cfa2010ebc03b669395d5269f84c53fde27cbb088de3354be5e4c24b30ba9d8c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:18.102030Z digest=sha256:fa1f0acc25cd220e94e25a39d75ccf5e0ec51f2a21e8315dda0aa194590f6a88

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:18.401455Z digest=sha256:849a9c013f72cc3b32ca3fe622c47b4c99e5d7265be8947a518bf71a3b60ef24

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:18.568611Z digest=sha256:6060339add9528069a2e36042cb9689ca0d553588dd4a4d753403f5c5fc40d36

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:18.845385Z digest=sha256:e38d6601dd90b9555016a105109ad4bc1902a97b8ffefcbb627e0b712d4b451b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:19.048342Z digest=sha256:693817089c2d4aadc891a4a34b59a681d9aa5781155849af54d4cad511b96a90

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:19.339878Z digest=sha256:18a4c78304edc5250e103cf9bb950a580bdcd7b1c54a6d061e27ce47a2aa44d4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:19.505378Z digest=sha256:9678da0d145e939db46417684a2294503391277a047ab2869a272aeb6c91cbfc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:19.636115Z digest=sha256:9fb3f036e13273423ac91bfa01029cb330817b2762ca6ed9cacc6cd79b4aea9c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:19.810686Z digest=sha256:c9f273d5cf6983b6b6f8ec139a3b3d5ad9fe8b2019d2e77a7871eefa1c61bfc4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:19.968648Z digest=sha256:90921bccf0ea2bc17a4701b384e90657cbd43bd42394ac3708d14142f99b858f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:20.131629Z digest=sha256:3adb6250240a9620429639db660785d9fbe7a2da6d87d64bca9cb171073042a4

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:20.299912Z digest=sha256:9285dd8769999fe2c3748a69126286d4c582e495fc0be99cde07f9735733e1b5

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:20.458170Z digest=sha256:477b70d5318abee58a6d632ee107536bc1f33f238f8da29d6d91be314749e42a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:20.636913Z digest=sha256:0ef2e8fa1660eb3d46539fce03b1b746089b33b4620dedb61ea978b0ce3b53ad

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:20.819230Z digest=sha256:f87e0c444750957f36bb6d31fb5abea546c67f1d95e795f127c3c5f954d39bf6

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:20.983422Z digest=sha256:3f7c7dad5e06e4b738305a08624686ab563238308e9000dc0b21219f07c6f346

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:21.160184Z digest=sha256:0279a45a8ad6aa78e46985bc7f213b7459ec9b455aacef0078815f6905d50ca0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:21.298705Z digest=sha256:e72f67f968e2c711fb83a6729a63dd184c436173bffdc45d7820e9e62ea96d65

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:21.442718Z digest=sha256:f6620984e024710e0daac45baa39be55d766bb86095f95e390323a22232e69ef

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:21.562635Z digest=sha256:a8afdcbb5951bf3760817db797f780084f0cd5c4e2b8d1909a940ea470419be3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:21.838233Z digest=sha256:9855a6d32002ae672a7cdadc95f482fe9c34e4ff08cc87abaf9523dfe50cc531

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:21.976371Z digest=sha256:23b078db0ea1d5411ca6a6ebf72184b11fb774f34bf70af05d029a0a69b8f1ee

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:22.119314Z digest=sha256:016475c9b19c57d7cd498c90b051ce6a86b6d822e4e363a7f7e7147f82190586

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:22.259525Z digest=sha256:5f934ee012e247828775d85135ee15885447a842b295d11468b5ebae6fcfd573

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:22.379376Z digest=sha256:28a857f0191ddfe7d03c19ab3c940b78af0aa5f11333f66aa600226e32b4ea21

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:22.691016Z digest=sha256:5f05003230c6e8c92a93580886293f00b14a88e9968e1d17bcd5569cef1e4d12

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:22.937062Z digest=sha256:770f4086165a68919f549b17bbdcf7829e44f0ce990715f701f82ef2732bda56

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:23.262732Z digest=sha256:b3c44fa90b24442730cc3c48e54a2d0b49b022d77ca56747d4f1c1a24a9b68b0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:23.424774Z digest=sha256:2a7e39166b58de84f1c2b84d1dd1eab9f1584b5a9da811972f13c30b37c671f2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:23.763795Z digest=sha256:55ce946e5045abb4f61ab5f07f28083e76d8a326a1fa1ee8ea4e579f759c7ff1

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:25.844034Z digest=sha256:9a2a939ae7eb80de8c988e218c2dde5bd838148b86db28c98679929cd33e5c2e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:25.937725Z digest=sha256:9571b4327c60f88596b76396ffc4c61a5026208da6ece3911d50e4def0f3c7e0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:26.028617Z digest=sha256:5858bf19e27276fb228c211e6b771c1c9ab9f56a93241a3d7dc18293bb913299

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:26.124641Z digest=sha256:cbca883e7fe308bff3efdb7c5901eeffe0c209737babaceb05fa26c3cdd4e212

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:26.307120Z digest=sha256:49889b0be1f72ba56cddbbf6af162e5ef22da6ce2d393ab2f262e28f7396822f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:26.806082Z digest=sha256:e589ab07de1c8102d3b046a0f9f3cc9dbbfbcb71d42eb7f89da4170d05998c25

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.121562Z digest=sha256:9ecd8fdb6d1d9e3b6f613b884c864eb100822a1d18672866aaf9db98a39b6a10

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.179666Z digest=sha256:82cf7f592573d7316d4d2c1e14b48f7660d748baaf8d393a12be6f7277ad5cb7

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.248710Z digest=sha256:fcfb3d90c6865afd9ed7fda282e3cbc64343ffedd7527ffc23752eaa441645d3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.315671Z digest=sha256:d0dfa3618256e8796ed1689ecc8479f6b93832f42066bfe6e5b4a531b180b189

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.410373Z digest=sha256:1fcf7cf1a953c6065742f71ae01c93aba245d536303bb5d0d43cce3c68175ce8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.464940Z digest=sha256:cd9a500b124ac1403653ec39ac9ac70d65f4f0d5e7e96d1e6c31cd07fe662f0a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.597368Z digest=sha256:0af3016412a873d60865f3862da7f3e63d6a7888d3798c528d563c6077e59840

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.682527Z digest=sha256:772ec7b44c1900ad2ef53a2c34a3e290890ea0fff202ed468793b508adb94a1b

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.735709Z digest=sha256:36c483db22894e0b04e7ed7f9b61d74ebef4359ec645335d2a2c3cfb3eea8f46

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.904143Z digest=sha256:09dd2e85ec7638866a51e0c33a516139e705f795afde2924759993fa47ebc8b0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:27.977208Z digest=sha256:1d19e185edb22b4531f35a96bbf9ccc8925658377c5712b62652ac33e91f0119

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:28.123991Z digest=sha256:07da38ebae929757b02487c36a01f895cf072dda610b99ba78b96b30ccb28df2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:28.306179Z digest=sha256:484989c7d6bebfcad8f706c052b89d14119b3dc9444b1d5be30abfbf86e84b79

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:28.390153Z digest=sha256:d40c8536d8fd1dcb6117ae57eb4ade863caf5c7f7263a6a8b5f3994481663776

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:28.454151Z digest=sha256:c36a66d47df5ab73318be3a2520b52d450857c81fd4217fc1f22a417f3cdf418

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:28.563181Z digest=sha256:6a59926f9d1df3b50c957f2528c1c50701ab4dbc86845a2b489be1423b6a0341

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:44:28.644894Z digest=sha256:85c0f739a09be80e40aac317d90125ed369b322453e89c264a98fbd8d1bdfe9e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T15:32:02.519645Z digest=sha256:8c7f1cd69cb08d637948d3b2a9cdabc183bf571847cc8e3b9e120ff8ceb3f19f