Paper Citation Record · LEDGER

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease

As of 7 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 3 inbound Pith citation observations for arXiv:2507.06326.

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

pith.paper-citation-record.v1
2507.06326 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:12:59.834112Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:18:18.345069Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:10:05.044877Z

Reference resolution

44 of 44 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5359a051-6d46-4047-ae98-f86887ae3c95 · outbound

This paper cites Cell biology of parkin- son’s disease: Mechanisms of synaptic, lysosomal, and mitochondrial dysfunction,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Cell biology of parkin- son’s disease: Mechanisms of synaptic, lysosomal, and mitochondrial dysfunction,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.994606Z

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Observation 90c9bec6-32ab-406b-9780-0b1cdea98224 · outbound

This paper cites The cell biology of parkinson’s disease,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease The cell biology of parkinson’s disease,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.985884Z

Source-reported events for the cited work

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Observation 1b54efe8-31f7-4e5e-8d74-1fb61be6f533 · outbound

This paper cites Pharmacological treatment of parkinson disease: A review,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Pharmacological treatment of parkinson disease: A review,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.975722Z

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Observation 8bd5a6e7-fdcc-47ce-a422-0c4efb5dda5d · outbound

This paper cites Circuit mechanisms of parkinson’s disease,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Circuit mechanisms of parkinson’s disease,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.966288Z

Source-reported events for the cited work

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Observation cdd2bab4-9ed6-4f31-8888-6547728dd4f6 · outbound

This paper cites Biomarkers for closed-loop deep brain stimulation in parkinson disease and beyond,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Biomarkers for closed-loop deep brain stimulation in parkinson disease and beyond,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.956475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 45914c77-259f-4809-90c6-22150f9fb04e · outbound

This paper cites New perspectives of deep brain stimulation indications for parkinson’s disease: A critical review,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease New perspectives of deep brain stimulation indications for parkinson’s disease: A critical review,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.947324Z

Source-reported events for the cited work

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Observation 81879294-5cc1-4043-a2d9-a895393bfc95 · outbound

This paper cites Parkinson’s disease dbs: what, when, who and why? the time has come to tailor dbs targets,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Parkinson’s disease dbs: what, when, who and why? the time has come to tailor dbs targets,

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-06T19:13:00.306908Z

Source-reported events for the cited work

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Observation e9ecc428-ea93-465e-8cba-804430d6afd2 · outbound

This paper cites Translational principles of deep brain stimulation,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Translational principles of deep brain stimulation,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.929365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation deb0df21-97cb-449e-955b-e16569a2665b · outbound

This paper cites Adaptive deep brain stimulation in advanced parkinson disease,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Adaptive deep brain stimulation in advanced parkinson disease,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.920365Z

Source-reported events for the cited work

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Observation 47692530-f566-4e05-8951-1ea38fe540e8 · outbound

This paper cites Chronic adaptive deep brain stimulation versus conventional stimulation in parkinson’s disease: a blinded randomized feasibility trial,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Chronic adaptive deep brain stimulation versus conventional stimulation in parkinson’s disease: a blinded randomized feasibility trial,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.911479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5acc9ae3-d7be-4d47-b95f-aaf8b4e6bede · outbound

This paper cites Adaptive deep brain stimulation in parkinson’s disease: A delphi consensus study,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Adaptive deep brain stimulation in parkinson’s disease: A delphi consensus study,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.902478Z

Source-reported events for the cited work

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Observation 782032d6-0f8c-41b2-b231-ddef3e000afa · outbound

This paper cites Sensing data and methodology from the adaptive dbs algorithm for personalized therapy in parkinson’s disease (adapt-pd) clinical trial,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Sensing data and methodology from the adaptive dbs algorithm for personalized therapy in parkinson’s disease (adapt-pd) clinical trial,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.893287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2907b85d-11d5-48fc-aa8f-786e2fb566aa · outbound

This paper cites The origin of abnormal beta oscillations in the parkinsonian corticobasal ganglia circuits,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease The origin of abnormal beta oscillations in the parkinsonian corticobasal ganglia circuits,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.884729Z

Source-reported events for the cited work

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Observation 98c3d83f-8d61-4572-9601-c5952b8828ab · outbound

This paper cites Oscillatory beta dynamics inform biomarker-driven treatment optimization for parkinson’s disease,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Oscillatory beta dynamics inform biomarker-driven treatment optimization for parkinson’s disease,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.877153Z

Source-reported events for the cited work

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Observation bc7b6ecd-1ee5-4c6a-9298-0afd2bca99dc · outbound

This paper cites The modulatory effect of adaptive deep brain stimulation on beta bursts in parkinson’s disease,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease The modulatory effect of adaptive deep brain stimulation on beta bursts in parkinson’s disease,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.869416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 33f1dee7-759d-4b82-90a4-120376489175 · outbound

This paper cites Reinforcement Learning Framework for Deep Brain Stimulation Study.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Reinforcement Learning Framework for Deep Brain Stimulation Study

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:13:00.096688Z

Source-reported events for the cited work

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Observation d79dba0e-cc02-4cbf-b27e-811d9b75692e · outbound

This paper cites Closed-loop deep brain stimulation with reinforcement learning and neural simulation,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Closed-loop deep brain stimulation with reinforcement learning and neural simulation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.862225Z

Source-reported events for the cited work

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Observation 1df800a2-fda3-4d0a-ac45-96ba37a99802 · outbound

This paper cites Enhancing adaptive deep brain stimulation via efficient reinforcement learning,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Enhancing adaptive deep brain stimulation via efficient reinforcement learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.854079Z

Source-reported events for the cited work

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Observation bf76c611-1176-4624-bc1a-40d75c335d04 · outbound

This paper cites Neu- rostimulation for parkinson’s disease with early motor complications,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Neu- rostimulation for parkinson’s disease with early motor complications,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.846203Z

Source-reported events for the cited work

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Observation 0515ce72-4c3c-49e8-88cc-6e268fc409e7 · outbound

This paper cites The mds- updrs tracks motor and non-motor improvement due to subthalamic nucleus deep brain stimulation in parkinson disease,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease The mds- updrs tracks motor and non-motor improvement due to subthalamic nucleus deep brain stimulation in parkinson disease,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.839067Z

Source-reported events for the cited work

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Observation 65b6442e-5793-440f-9fb0-29f7fc302eb2 · outbound

This paper cites A framework for translational therapy development in deep brain stimulation,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease A framework for translational therapy development in deep brain stimulation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.831797Z

Source-reported events for the cited work

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Observation fe40225e-7302-423c-97c5-e70527c73f1e · outbound

This paper cites Offline learning of closed-loop deep brain stimulation controllers for parkinson disease treatment,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Offline learning of closed-loop deep brain stimulation controllers for parkinson disease treatment,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.824626Z

Source-reported events for the cited work

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Observation 4020bffe-65b0-4268-a31f-43cfe54bda85 · outbound

This paper cites A simulated environment for early development stages of reinforcement learning algorithms for closed-loop deep brain stimulation,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease A simulated environment for early development stages of reinforcement learning algorithms for closed-loop deep brain stimulation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.817398Z

Source-reported events for the cited work

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Observation 22599b47-b468-4692-83b0-5a21db152755 · outbound

This paper cites Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Reinforcement Learning with Foundation Priors: Let the Embodied Agent Efficiently Learn on Its Own

Reference 24

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Observation cb7a6f1f-cef2-40c2-83bf-551d7dc47099 · outbound

This paper cites Utilizing simulation for reinforcement learning and curiosity driven exploration in robotics,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Utilizing simulation for reinforcement learning and curiosity driven exploration in robotics,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.809754Z

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Observation 2c193928-5a1d-4a5f-9dd0-2d8ce0418e33 · outbound

This paper cites Curl: Contrastive unsupervised representations for reinforcement learning,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Curl: Contrastive unsupervised representations for reinforcement learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.801252Z

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Observation d81c0600-606e-4fb7-a4e2-bbbdbaeac6d6 · outbound

This paper cites Data-Efficient Reinforcement Learning with Self-Predictive Representations.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Data-Efficient Reinforcement Learning with Self-Predictive Representations

Reference 27

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Observation 4ae8be12-61b7-4da1-9cea-dcff6b2955d8 · outbound

This paper cites Model-based reinforcement learning for atari,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Model-based reinforcement learning for atari,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.792898Z

Source-reported events for the cited work

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Observation abd938cf-8ac6-4755-872e-add1ea353586 · outbound

This paper cites Dream to Control: Learning Behaviors by Latent Imagination.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Dream to Control: Learning Behaviors by Latent Imagination

Reference 29

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Observation f876bcec-a722-47c1-8b0d-d700fd5edb51 · outbound

This paper cites Mastering Diverse Domains through World Models.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Mastering Diverse Domains through World Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:58.522789Z

Source-reported events for the cited work

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Observation b20647d5-91c5-4072-a4c9-6280a9e409cc · outbound

This paper cites Temporal Difference Learning for Model Predictive Control.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Temporal Difference Learning for Model Predictive Control

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:58.596909Z

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Observation 2b8779fa-d873-4bb6-9bee-e88eb339c553 · outbound

This paper cites TD-MPC2: Scalable, Robust World Models for Continuous Control.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease TD-MPC2: Scalable, Robust World Models for Continuous Control

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:58.731629Z

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Observation f5e3125b-bcaa-4477-9a49-1fd643a3a179 · outbound

This paper cites Mastering atari games with limited data,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Mastering atari games with limited data,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.785024Z

Source-reported events for the cited work

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Observation e35030c9-fe47-45ee-9cb1-6cb81efdead9 · outbound

This paper cites EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:58.951885Z

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Observation fb8f8ceb-001f-4261-b49e-2ad69cc5d1e5 · outbound

This paper cites Categorical Reparameterization with Gumbel-Softmax.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Categorical Reparameterization with Gumbel-Softmax

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:59.082411Z

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Observation b9c9ed03-a89c-4d28-90c4-ef1722034822 · outbound

This paper cites Gumbel-softmax score and flow matching for discrete biological sequence generation,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Gumbel-softmax score and flow matching for discrete biological sequence generation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.777524Z

Source-reported events for the cited work

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Observation bc957e95-7a90-42b6-84a1-5c9a0c1199aa · outbound

This paper cites Seizure control in a com- putational model using a reinforcement learning stimulation paradigm,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Seizure control in a com- putational model using a reinforcement learning stimulation paradigm,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.769421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 65c020a7-491f-4f66-bee1-1282cb526346 · outbound

This paper cites Adaptive optimal tracking control of an underactuated surface vessel using actor–critic reinforcement learning,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Adaptive optimal tracking control of an underactuated surface vessel using actor–critic reinforcement learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.760580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 61385c07-81b7-4804-970b-d2aba41d2df1 · outbound

This paper cites The role of multisensor data fusion in neuromuscular control of a sagittal arm with a pair of muscles using actor-critic reinforcement learning method,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease The role of multisensor data fusion in neuromuscular control of a sagittal arm with a pair of muscles using actor-critic reinforcement learning method,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.751855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1239104e-db00-4c0d-82fb-eba37731fd82 · outbound

This paper cites Neuromuscular control of the point to point and oscillatory movements of a sagittal arm with the actor–critic reinforcement learning method,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Neuromuscular control of the point to point and oscillatory movements of a sagittal arm with the actor–critic reinforcement learning method,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.743166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c69f5f03-28df-4d38-bb8e-0a88f706faca · outbound

This paper cites Complexity of subthalamic 13-35 hz oscillatory activity directly correlates with clinical impairment in patients with parkinson’s disease,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Complexity of subthalamic 13-35 hz oscillatory activity directly correlates with clinical impairment in patients with parkinson’s disease,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.677057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d44748c1-b3c1-4ffa-882b-1d63d8eacbe2 · outbound

This paper cites Actor-critic reinforcement learning for control with stability guarantee,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Actor-critic reinforcement learning for control with stability guarantee,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.452707Z

Source-reported events for the cited work

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Observation 3d0cfce4-bdbc-439a-bc2b-73cfb0c14dcf · outbound

This paper cites Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Soft actor-critic: Off- policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T19:12:59.834112Z

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Observation ee7e0f92-45fe-47e7-9919-c3ccba652ebf · outbound

This paper cites Available: https://www.mdpi.com/2076-3425/14/7/638.

Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease Available: https://www.mdpi.com/2076-3425/14/7/638

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:13:00.938575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

Observation a8ffb545-11f5-4435-8f23-af99e6cb2897 · inbound

Inverse Reinforcement Learning for Interpretable Keystroke Biomarkers in Parkinson's Disease cites this paper.

Inverse Reinforcement Learning for Interpretable Keystroke Biomarkers in Parkinson's Disease Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T19:10:05.046683Z

Source-reported events for the cited work

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Observation dc758c41-4d95-4da8-b763-495ad72bd5d5 · inbound

Inverse Reinforcement Learning for Interpretable Keystroke Biomarkers in Parkinson's Disease cites this paper.

Inverse Reinforcement Learning for Interpretable Keystroke Biomarkers in Parkinson's Disease Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-02T21:37:24.224402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 36a4d016-78fb-4798-b575-ed7f6cce769b · inbound

Inverse Reinforcement Learning for Interpretable Keystroke Biomarkers in Parkinson's Disease cites this paper.

Inverse Reinforcement Learning for Interpretable Keystroke Biomarkers in Parkinson's Disease Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T10:18:18.345069Z

Source-reported events for the cited work

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