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

source=pdf_text observed=2026-08-06T15:32:03.548140Z digest=sha256:d36cb7b69b10b27b1ea787a3f6b43d6d70155fbd0a20db969b9fded54ce1c242

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

source=pdf_text observed=2026-08-06T15:32:03.626335Z digest=sha256:3da0521a1d9dedfb426ab8f8ec0916fdb32d0055e098c79938fd24d97181887f

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

source=pdf_text observed=2026-08-06T15:32:03.706466Z digest=sha256:e75e74f1bd12da92c9de592e1d4b30760f06d1c7685f6550fc890ca3dbfa4e27

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

source=pdf_text observed=2026-08-06T15:32:02.895217Z digest=sha256:97ee633598d86ea8bfac4a476ccc1e86204f3af7750332a6a83df612c6fd9f64

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

source=pdf_text observed=2026-08-06T15:32:03.250793Z digest=sha256:0c277cb5c98b39172ddd59424b35ed69d9fc23153f5e48deb013e48297ae817f

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:32:03.340302Z digest=sha256:a6093447eb394da05b926d36ad9e1670db42a4f11120c71f5dd737aeb6d69a6b

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

source=pdf_text observed=2026-08-06T15:32:03.808043Z digest=sha256:ce3a1e9bc56facb1d24b8fdd83af7d10f35f629c58bdea77ac9f28bd23075343

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

source=pdf_text observed=2026-08-06T15:32:03.869886Z digest=sha256:2aacbec9789496e039426145a358b639508bc70ad62bc22697d42d30d9b23bea

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=sha256:33709b865126712e5d9e19484da94b92a64c0abf3b75959931d8c0440638ffde

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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source=pdf_text observed=2026-08-06T15:32:02.933895Z digest=sha256:c7a1be11f6aad9e293f1408652d615dfc74779e2a645852f60de044d55f7d4cd

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:b800c00517f044196cd6f55942d412db79bf3b1a9d41e60cf032315afd6ac8a2

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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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=2026-08-06T15:32:02.607372Z digest=sha256:3dfedc0b2beee270471a5a107481bf8e4ffebcee6d483b51a9cf134fa1a9460f

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

source=pdf_text observed=2026-08-06T15:32:02.549531Z digest=sha256:c13aaf46b3b9f81bab0835ce576c51bf6a58eb51323473a9ded651ee8a37da2a

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=sha256:292a96895776070014370f51fee2dc5b2d6b4de91280f83b2ac6b59252ce157e

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

source=pdf_text observed=2026-08-06T15:32:03.150005Z digest=sha256:9624ed5eb1b70157ac5ae63ec3f3235267be01c290cdc0adba533a307ab946d6

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=sha256:4f036e0c2950c58c624eca80a149ac357b172488228984437dbeaa4e91247db4

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

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

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

source=pdf_text observed=2026-08-06T15:32:03.079104Z digest=sha256:3db10bcaaf2c4522e8ea13e6556defeb499ec61611da1b475fdf1c44f396efdc

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

source=pdf_text observed=2026-08-06T15:32:03.405351Z digest=sha256:688b6084c7e24083f7e0040b2bd73be09b58429dae042e4eac8d34e4f138ff82

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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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Pith citing papers

No inbound Pith citation observations are available.