Paper Citation Record · LEDGER

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2411.10991.

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

pith.paper-citation-record.v1
2411.10991 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:08:58.713681Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

17 of 17 outbound references displayed

verified exact1
verified fuzzy3
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c230155-35d7-431e-acd2-ac83d0295919 · outbound

This paper cites Oscillations enhance time-series prediction in reservoir computing with feedback.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Oscillations enhance time-series prediction in reservoir computing with feedback

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-12T19:08:58.943152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3906b853-249c-47b7-bf5c-f092c18b52da · outbound

This paper cites Deep Q-network using reservoir computing with multi-layered readout.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Deep Q-network using reservoir computing with multi-layered readout

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T19:08:58.924976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 23d1f9cf-ba59-4923-9750-6d17839aa7d3 · outbound

This paper cites Reinforcement and Imitation Learning for Diverse Visuomotor Skills.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Reinforcement and Imitation Learning for Diverse Visuomotor Skills

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.699109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70e8ec00-813d-4125-b734-2c4e08300633 · outbound

This paper cites Context-based echo state networks for robot movement primitives.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Context-based echo state networks for robot movement primitives

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:08:59.225749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation aa7c647e-e5dd-44b6-bb41-745d04af329a · outbound

This paper cites Proximal Policy Optimization Algorithms.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Proximal Policy Optimization Algorithms

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.713681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd8d25d-f63a-4f5a-824a-1d21df28de5c · outbound

This paper cites Herbert Jaeger.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Herbert Jaeger

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.650159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 162b2ba9-ca67-4043-a943-0f43df89186e · outbound

This paper cites Louis Annabi, Alexandre Pitti, and Mathias Quoy.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Louis Annabi, Alexandre Pitti, and Mathias Quoy

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.667408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16dfaa3b-e4a0-4fb6-80d6-2850f2492d9b · outbound

This paper cites Cedric Hartland and Nicolas Bredeche.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Cedric Hartland and Nicolas Bredeche

Reference 2009

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.663254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6d4b204-cb11-4601-95a5-dafd18cfcede · outbound

This paper cites Acnmp: Skill transfer and task extrapolation through learning from demonstration and reinforcement learning via representation sharing.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Acnmp: Skill transfer and task extrapolation through learning from demonstration and reinforcement learning via representation sharing

Reference 2010

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:08:59.250697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9832cc6d-5614-4572-9a8b-a36f52f68d3b · outbound

This paper cites Memory-enhanced evolutionary robotics: The echo state network approach.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Memory-enhanced evolutionary robotics: The echo state network approach

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T19:08:59.237966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3478fd95-1feb-43e3-9c08-651c11831078 · outbound

This paper cites Deep Q-learning from Demonstrations.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Deep Q-learning from Demonstrations

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.685908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16b2bf57-b5d7-40c2-b8d9-24d12379a2e1 · outbound

This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.693994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e438078-a887-4681-92d8-0a9ceb408e6e · outbound

This paper cites Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, and Sergey Levine.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, and Sergey Levine

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.690086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 292c73f9-7586-420d-a95d-d7f0fc925892 · outbound

This paper cites Yuji Kawai, Jihoon Park, and Minoru Asada.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Yuji Kawai, Jihoon Park, and Minoru Asada

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.671834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49b10904-9930-4927-bb5b-9ad03cd595ac · outbound

This paper cites Reservoir Computing in robotics: a review.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Reservoir Computing in robotics: a review

Reference 2022

Resolution: metadata mismatch; local_arxiv, observed 2026-08-12T19:08:59.136998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 651ff851-84a6-44e4-883f-1aa11f89838f · outbound

This paper cites Mark Towers, Ariel Kwiatkowski, Jordan Terry, John U Balis, Gianluca De Cola, Tristan Deleu, Manuel Goulão, Andreas Kallinteris, Markus Krimmel, Arjun KG, et al.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Mark Towers, Ariel Kwiatkowski, Jordan Terry, John U Balis, Gianluca De Cola, Tristan Deleu, Manuel Goulão, Andreas Kallinteris, Markus Krimmel, Arjun KG, et al

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.706669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d00d9fde-9d96-4ab9-bfa6-64f012d50855 · outbound

This paper cites Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations.

Modulating Reservoir Dynamics via Reinforcement Learning for Efficient Robot Skill Synthesis Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T19:08:58.639560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.