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Paper Citation Record · LEDGER

Robust Control under Stationary Ambiguity

As of 10 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2608.04832.

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

pith.paper-citation-record.v1
2608.04832 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:32:03.869886Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

21 of 21 outbound references displayed

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  • unresolved6
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5c7d875-4027-4e4d-83c9-5ef1ce00f8a9 · outbound

This paper cites Proposition(Doob’s theorem).Let X and Y be Polish spaces, equipped with their Borel σ-algebras.

Robust Control under Stationary Ambiguity Proposition(Doob’s theorem).Let X and Y be Polish spaces, equipped with their Borel σ-algebras

Reference 1

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raw_fallback, observed 2026-08-06T15:32:05.344621Z

Source-reported events for the cited work

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

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Observation 2c0bd1a1-93be-4445-9848-a2385619501f · outbound

This paper cites The result is well-known (Kunita, 1971; van Handel, 2012).

Robust Control under Stationary Ambiguity The result is well-known (Kunita, 1971; van Handel, 2012)

Reference 2

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:32:03.548140Z digest=sha256:db0917e4f43ed72fab72888084cbfdf6c320fe4bca53080d66bd5e8c0c7b69e4

Observation a4e085cb-b024-4c3e-a1dc-a08e91271a74 · outbound

This paper cites Our recursion is of this form, with the latent process X as the stationary driving sequence.

Robust Control under Stationary Ambiguity Our recursion is of this form, with the latent process X as the stationary driving sequence

Reference 3

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:32:03.626335Z digest=sha256:a55419899bd7f89092d0fb78295102b1a373bb345a586c90bc89da1d2a42c9d7

Observation 61c05563-54a9-4e72-95d6-ac0e7641d3a1 · outbound

This paper cites Since the drift is known, the policy does not learn about it from its observations and the optimal investment amount is constant over time.

Robust Control under Stationary Ambiguity Since the drift is known, the policy does not learn about it from its observations and the optimal investment amount is constant over time

Reference 6

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:32:03.706466Z digest=sha256:90171dccda91625a087206ec6e20e37343dc5880a332f8c13e966685e341ed79

Observation f5345f4e-ba4e-4bc8-bf1e-bf0456be8be8 · outbound

This paper cites Exponential forgetting of smoothing distributions for pairwise Markov models.

Robust Control under Stationary Ambiguity Exponential forgetting of smoothing distributions for pairwise Markov models

Reference 8

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local_arxiv, observed 2026-08-06T15:32:04.122894Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:32:02.895217Z digest=sha256:ec46977f4f2dad735837a44a775094a5aa379b1e112c1acae51641a103a8b5ac

Observation 389e614d-31d1-4e80-a008-4c5538ea427f · outbound

This paper cites Domain randomization for transferring deep neural networks from simulation to the real world.

Robust Control under Stationary Ambiguity Domain randomization for transferring deep neural networks from simulation to the real world

Reference 13

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:32:03.250793Z digest=sha256:761477178360b050818068e5146e7c9e778cd1bfe76c5854ab9538c288542e68

Observation a2006c4f-4b77-434c-b473-bbbaaecbd1a7 · outbound

This paper cites Multi-Asset Spot and Option Market Simulation.

Robust Control under Stationary Ambiguity Multi-Asset Spot and Option Market Simulation

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-06T15:32:03.340302Z digest=sha256:e67e13ee87624535769abebc98f3481319ed6bb5e92966c549093da407b8c114

Observation fbffe02b-8c5f-4a89-97a2-d2757b8564f9 · outbound

This paper cites Throughout this subsection, we work on the bi-infinite time axis and write Gt :=σ(Y s :s≤t), t∈Z.

Robust Control under Stationary Ambiguity Throughout this subsection, we work on the bi-infinite time axis and write Gt :=σ(Y s :s≤t), t∈Z

Reference 20

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:32:03.808043Z digest=sha256:dfe5f7815820c25ed7bb11504240e21a3f366b6c10c99ce80ca9ae8a96358a98

Observation 180d5ff6-74b0-44c4-bc1d-fe96864eaa54 · outbound

This paper cites It therefore does not force the policy to inherit the specialization behavior of the static latent policy.

Robust Control under Stationary Ambiguity It therefore does not force the policy to inherit the specialization behavior of the static latent policy

Reference 21

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:32:03.869886Z digest=sha256:bc96eb3c7088169de5268776414930ad25c944d40823a1d54a945b21581c313b

Observation 016376fc-74bb-4db8-82dd-a161a83fd6cc · outbound

This paper cites Designing and Interpreting Probes with Control Tasks.

Robust Control under Stationary Ambiguity Designing and Interpreting Probes with Control Tasks

Reference 1993

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:02.727045Z digest=sha256:96953f36cbf372180935c4efa732cd92b4360fad5f2c588d0d5bc48725a13cfa

Observation 2e885b47-a5f9-4ff1-b16a-4b7aadf9d37d · outbound

This paper cites A detailed treatment of Doob's theorem.

Robust Control under Stationary Ambiguity A detailed treatment of Doob's theorem

Reference 1995

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:02.933895Z digest=sha256:a59267c1b9eec8699c501ad8205bed9bc66bd2b6b5d079a774dd65012aaa04fc

Observation b3a91f5e-9fd8-42a3-a4e5-4f2b43e0444c · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Robust Control under Stationary Ambiguity Adam: A Method for Stochastic Optimization

Reference 2001

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:02.778013Z digest=sha256:a8ec1546503446b9a2e6cfa95cfef9d3ae39e9594812874eb37dc688090af589

Observation a39ff262-1ffb-4533-8900-e456382fb19f · outbound

This paper cites Deep Hedging with Options Using the Implied Volatility Surface.

Robust Control under Stationary Ambiguity Deep Hedging with Options Using the Implied Volatility Surface

Reference 2008

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

source=pdf_text observed=2026-08-06T15:32:02.607372Z digest=sha256:dd2098fc9ece6183ec3889b85ecf90bb91e54a4be7723ef911f719b5a1bd1054

Observation 0d9aece7-6acc-4941-9d5c-951bc8d6ef98 · outbound

This paper cites Exponential Spectral Risk Measures.

Robust Control under Stationary Ambiguity Exponential Spectral Risk Measures

Reference 2009

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local_arxiv, observed 2026-08-06T15:32:04.406394Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:32:02.549531Z digest=sha256:5d1dc63fac8fc492278b912f68855005645589bb6cd03f8cf7014e4b962ca9ed

Observation 7311fa82-31e2-4035-afd7-b4df73b49406 · outbound

This paper cites Deep Learning Approximation for Stochastic Control Problems.

Robust Control under Stationary Ambiguity Deep Learning Approximation for Stochastic Control Problems

Reference 2013

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source=pdf_text observed=2026-08-06T15:32:02.690019Z digest=sha256:c109cec37ac24b483d2be2954bf21520b5918a7b6edfab533734d92924f65f1b

Observation b161d409-4adf-4bd9-9249-d4f8cc93fd85 · outbound

This paper cites Sim-to-Real Transfer of Robotic Control with Dynamics Randomization.

Robust Control under Stationary Ambiguity Sim-to-Real Transfer of Robotic Control with Dynamics Randomization

Reference 2014

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-06T15:32:03.150005Z digest=sha256:3e36b34c6c4240f5c668acbaab0ef9af343028b5f84e0dd2dc2730cfe2c35855

Observation 6ca897fc-c73e-42f7-947e-93d9473d28ae · outbound

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

Robust Control under Stationary Ambiguity A Data-driven Market Simulator for Small Data Environments

Reference 2019

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:02.494671Z digest=sha256:167fefcdfb646d59751c582c6292ee30a70f598334aa6f6321193e56dc075a8e

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

This paper cites Uncertainty-Aware Strategies: A Model-Agnostic Framework for Robust Financial Optimization through Subsampling.

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

Reference 2020

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

source=pdf_text observed=2026-08-06T15:32:02.519645Z digest=sha256:5772d8b4e57a7382ba5936b18f08c814cbb65820a26e8911a68b2bba086d7af4

Observation 90bd35e2-871d-4014-8acc-958690da8df3 · outbound

This paper cites Option Valuation and Hedging Strategies with Jumps in the V olatility of Asset Returns.The Journal of Finance, 48 (5):1969–1984,.

Robust Control under Stationary Ambiguity Option Valuation and Hedging Strategies with Jumps in the V olatility of Asset Returns.The Journal of Finance, 48 (5):1969–1984,

Reference 2022

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

source=pdf_text observed=2026-08-06T15:32:03.079104Z digest=sha256:bad01ee5790394f87e75806b665ff8ce5227bfabdad0f4aa09d2b0120e8e3062

Observation 1209eb4a-b8bc-4651-bacc-db57cca131d6 · outbound

This paper cites Parametric regret in uncertain Markov decision processes.

Robust Control under Stationary Ambiguity Parametric regret in uncertain Markov decision processes

Reference 2023

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

source=pdf_text observed=2026-08-06T15:32:03.405351Z digest=sha256:4b12e8964198621dffd3a178f8aa53c7d18620767cec08c166f43db4d862540a

Observation 192fe6d6-39c7-41b7-a012-76a7c99ed0a5 · outbound

This paper cites Generating Financial Time Series by Matching Random Convolutional Features.

Robust Control under Stationary Ambiguity Generating Financial Time Series by Matching Random Convolutional Features

Reference 2024

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local_arxiv, observed 2026-08-06T15:32:03.991247Z

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

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Pith citing papers

No inbound Pith citation observations are available.