Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:28:00.728388Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2412.13093.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:28:00.728388Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
16 of 16 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 5b71f17e-6ef4-45e7-902b-4397a7a1003b · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Human-level control through deep reinforcement learning.nature, 518 (7540):529–533, 2015
Reference 1
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 01742749-ec33-4f8d-b514-8c9b042763fe · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b3234412-3058-45da-bbfb-291c1380b645 · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Long short-term memory.Neural compu- tation, 9(8):1735–1780, 1997
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b10300f3-75f1-40e5-b109-60b61f2f2342 · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Reservoir computing approaches to recurrent neural network training.Computer science review, 3(3):127–149, 2009
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 844f5f40-5382-43a6-9ad2-0772c88b7588 · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Recent advances in physical reservoir computing: A review.Neural Networks, 115:100–123, 2019
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a7e6398-70b0-4ce2-923a-658bc6ef2cf5 · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication.science, 304(5667):78–80, 2004
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4035a362-fe86-401a-87b7-ff49cb01adf8 · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Short term memory in echo state networks
Reference 7
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a0977d90-f9df-46e1-a800-642172944e3e · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks echo state
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1bf31bf3-f1a1-413c-a585-d0f56ecdac09 · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Real-time computing withoutstablestates: Anewframeworkforneuralcomputationbasedonperturbations
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 60407adf-6c22-4434-bea2-526393b749b7 · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Pattern recognition in a bucket
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3b988d51-888e-441b-83a0-0dda225314ea · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks POPGym: Benchmarking Partially Observable Reinforcement Learning
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 192cc81a-67da-42c5-ae72-be9fe0a069d1 · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Reservoirs learn to learn
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 00bb2c46-5dad-465c-8d5d-1f6e5b1cfa3b · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Place navigation impaired in rats with hippocampal lesions.Nature, 297(5868):681–683, 1982
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 786ac0ed-44ec-4fed-9f5d-95eaa4bbc0d2 · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks MIT press, 2018
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 915d6443-09ec-4dee-9dd9-bc99058e074f · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Prefrontal cortex as a meta-reinforcement learning system.Nature neuroscience, 21(6):860–868, 2018
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 176e66fd-5e45-4749-8ee0-c69188ef3f7a · outbound
Reservoir Computing for Fast, Simplified Reinforcement Learning on Memory Tasks Pytorch: An imperative style, high-performance deep learning library.Advances in neural in- formation processing systems, 32, 2019
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
No inbound Pith citation observations are available.