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Paper Citation Record · LEDGER

Robust Control under Stationary Ambiguity

As of 8 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 2026-08-08T06:32:00.761636+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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  • malformed identifier0
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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:03.453800Z digest=sha256:c21143c825e3ade0d026e56761dfaaf666e5a11d6672681c4bcc2f49a104d889

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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raw_fallback, observed 2026-08-06T15:32:05.227067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:03.548140Z digest=sha256:5db1ec7e1c0239ae469df6cffe2d1024b4bdae61d754e66d7f370d663dc8d62e

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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raw_fallback, observed 2026-08-06T15:32:05.104642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:03.626335Z digest=sha256:f7aba6601b794cfed3d7f6a3268af6130b3d49e3c429fb9aae7467df54f55f46

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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raw_fallback, observed 2026-08-06T15:32:04.944674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:03.706466Z digest=sha256:e01b40941e1777335940cc20365df0447648874806c48a597b1fe10273a580af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:02.895217Z digest=sha256:da76e358e4a0fa5611cd73c778bade1a9d5fe09dd608d34d2051ed9ccb2debdb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:03.250793Z digest=sha256:e2b73a3ec45cfbbfea1e82d0c9220dfbd6a2aabbe8c38af45c6c6423f643d60f

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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no resolver link, observed 2026-08-06T15:32:03.340302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:03.340302Z digest=sha256:9c14702bf23c9435c3672489a6f2b38bd4c50b2db698f7ac536ed16e29501beb

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:03.808043Z digest=sha256:06c33a230fa01b9c49e0d766cf71f0feaaf8713d8b1a9922ee0c71f1e70da36b

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:32:04.700506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:03.869886Z digest=sha256:caf2a9a83b7ceebfdb2d27e529a8ef5fd6f8642f906d626c77b3c2d3f8568900

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:02.727045Z digest=sha256:6699bab5d713b68dc6968e5117c036d3231485d0d8fa7a56318d46ba6304ef11

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=sha256:26aa7f1fe72a2194503ee402332a02fd2bbd56feebfc8dc6e20b54d5118d08a1

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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no resolver link, observed 2026-08-06T15:32:02.778013Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:02.778013Z digest=sha256:7e0decc891a70c4553605a83db546591a6326b90978eaf9e9499d87a54d49c7a

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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local_arxiv, observed 2026-08-06T15:32:04.273756Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:02.607372Z digest=sha256:f6985878c4a07b0070355faee1d6c246d54c92ed833b822ccaa1fc9dad2cef5b

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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verified exact
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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:02.549531Z digest=sha256:35444cc6b760e7216d17f3eef4ffde1f94048c9d49614c8525ca3f8a10ba2caa

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=sha256:9e934d60e54daa37e68d118913a797e2fca098060e91940821ff97a33ce66a15

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:03.150005Z digest=sha256:785dcc895d615bf5e68ea224c4d9477bd8cf3f07c8496816e253df2e443739a9

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:f9f433c27300178c464af14272b76eececbc2a47dad451d957d34209e89b735c

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

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:02.519645Z digest=sha256:49286973d41f99c3382b795e5c1e6b668f3f40af3e2d161e55e4f9b9fa93df09

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:03.079104Z digest=sha256:c76ba20d2650377cb5a050387edb8ed9e9a77b5be6d9882c968adee30c65a1e2

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:03.405351Z digest=sha256:e0eb1587a9b62a02d12c169b67f6c43b3f981be4dafd64741a6a45545d799dcf

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T15:32:02.971240Z digest=sha256:bb9050cc04a42655f54606cd7f911e6b2a98201f79cd316a326ba568bfffe66b

Pith citing papers

No inbound Pith citation observations are available.