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Paper Citation Record · LEDGER

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2505.09327.

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

pith.paper-citation-record.v1
2505.09327 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

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measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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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

42 of 42 outbound references displayed

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External citation measurements

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Outbound references

Observation 8ed3e5f3-67f6-41e5-bf1b-d6a21a52ff5f · outbound

This paper cites Princeton University Press, Princeton, 1986.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Princeton University Press, Princeton, 1986

Reference 1

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Observation 43922c1b-f83e-4034-a73e-777c30ca6af1 · outbound

This paper cites Theory and examples of intrinsically nonlinear oscillators.American Journal of Physics, 72:492–498, 2004.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Theory and examples of intrinsically nonlinear oscillators.American Journal of Physics, 72:492–498, 2004

Reference 2

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Observation 00bf7936-9c59-4aa4-8019-81f3aada6ea5 · outbound

This paper cites Critical analysis for nonlinear oscillations by least square hpm.Scientific Reports, 14, 2024.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Critical analysis for nonlinear oscillations by least square hpm.Scientific Reports, 14, 2024

Reference 3

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Observation a08ebb1c-1fef-43a5-a1b4-ad5ac9de19d3 · outbound

This paper cites Pulsatile stimulation determines timing and specificity of nf-κb-dependent transcription.Science, 324(5924):242–246, 2009.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Pulsatile stimulation determines timing and specificity of nf-κb-dependent transcription.Science, 324(5924):242–246, 2009

Reference 4

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Observation 74a238f9-c5bf-4a69-9428-9f4247240b84 · outbound

This paper cites Temporal self-organization of the cyclin/cdk net- work driving the mammalian cell cycle.Proceedings of the National Academy of Sciences, 106(51):21643–21648, 2009.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Temporal self-organization of the cyclin/cdk net- work driving the mammalian cell cycle.Proceedings of the National Academy of Sciences, 106(51):21643–21648, 2009

Reference 5

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Observation 21c6e772-e5ee-4858-8a36-feb63f06f7f7 · outbound

This paper cites Sys- tems biology of cellular rhythms.FEBS letters, 586(18):2955–2965, 2012.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Sys- tems biology of cellular rhythms.FEBS letters, 586(18):2955–2965, 2012

Reference 6

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Observation 35724b38-cadd-43fd-8f15-e903195b321a · outbound

This paper cites Ajjarapu and B.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Ajjarapu and B

Reference 7

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Observation 9093fa54-1398-4aa8-a625-1a1149a96257 · outbound

This paper cites Manchester.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Manchester

Reference 8

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Observation 462f012a-8bdc-4b47-9182-3e08c980ce03 · outbound

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Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Unresolved cited work

Reference 9

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Observation ff9799d9-7856-4a6b-99a7-439781fcd404 · outbound

This paper cites Quasi-periodicoscillations, chaosandsuppression of chaos in a nonlinear oscillator driven by parametric and external excitations.Nonlinear Dynamics, 18:1–24, 1999.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Quasi-periodicoscillations, chaosandsuppression of chaos in a nonlinear oscillator driven by parametric and external excitations.Nonlinear Dynamics, 18:1–24, 1999

Reference 10

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Observation 92baa3fb-aa1f-4e16-ac64-1d2e4a821952 · outbound

This paper cites Data-driven nonlinear and stochas- tic dynamics with control, 2024.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Data-driven nonlinear and stochas- tic dynamics with control, 2024

Reference 11

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Observation a279a81e-a99d-4f03-9a40-b8f7430808af · outbound

This paper cites Stability analysis for a class of stochastic delay nonlinear systems driven by g-brownian motion.Syst.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Stability analysis for a class of stochastic delay nonlinear systems driven by g-brownian motion.Syst

Reference 12

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Observation 68145073-afae-4745-96fe-599acf828c55 · outbound

This paper cites Safetyverification for random ordinary differential equations.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(11):4090–4101, 2020.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Safetyverification for random ordinary differential equations.IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(11):4090–4101, 2020

Reference 13

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Observation 31bab51a-b36c-4875-afc3-2b101bf1ec11 · outbound

This paper cites Action functional as an early warning indicator in the space of probability measures via schrödinger bridge.Quantitative Biology, 2024.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Action functional as an early warning indicator in the space of probability measures via schrödinger bridge.Quantitative Biology, 2024

Reference 14

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Observation 23333091-a88e-4a88-ba0c-f70b119f433b · outbound

This paper cites Neural sdes as infinite- dimensional gans.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Neural sdes as infinite- dimensional gans

Reference 15

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Source-reported events for the cited work

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Observation 57e1c0a9-f8c6-47b2-af27-1e9b8d03f9bf · outbound

This paper cites Efficient and accurate gradients for neural sdes.Advances in Neural Information Processing Systems, 34:18747– 18761, 2021.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Efficient and accurate gradients for neural sdes.Advances in Neural Information Processing Systems, 34:18747– 18761, 2021

Reference 16

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Observation 573e6449-263f-48b7-a6d6-762eec45b2c5 · outbound

This paper cites Recent advances in physical reservoir computing: A review.Neural Networks, 115:100–123, 2019.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Recent advances in physical reservoir computing: A review.Neural Networks, 115:100–123, 2019

Reference 17

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Observation fe29cee8-f272-4624-9273-241c89044e3e · outbound

This paper cites Model-free control of dynam- ical systems with deep reservoir computing.Journal of Physics: Complexity, 2(3):035025, 2021.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Model-free control of dynam- ical systems with deep reservoir computing.Journal of Physics: Complexity, 2(3):035025, 2021

Reference 18

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Observation 3bdbe88a-cdc1-4bb6-9c5d-2b94636e1e75 · outbound

This paper cites Next generation reservoir computing.Nature communications, 12(1):1–8, 2021.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Next generation reservoir computing.Nature communications, 12(1):1–8, 2021

Reference 19

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Observation 11b2578f-0f4f-443f-bf1c-a0d7fbc84a17 · outbound

This paper cites Controlling chaos using edge computing hardware.Nature Communications, 15(1):3886, 2024.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Controlling chaos using edge computing hardware.Nature Communications, 15(1):3886, 2024

Reference 20

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Observation 11497b15-2261-42a8-a3f0-7c1b674e14c2 · outbound

This paper cites Controlling chaotic maps us- ing next-generation reservoir computing.Chaos: An Interdisciplinary Journal of Nonlinear Science, 34(2), 2024.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Controlling chaotic maps us- ing next-generation reservoir computing.Chaos: An Interdisciplinary Journal of Nonlinear Science, 34(2), 2024

Reference 21

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Observation 43063878-cc08-462d-8afb-548c3fd84316 · outbound

This paper cites Mechanisms and functions of theta rhythms.Annual review of neuro- science, 36(1):295–312, 2013.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Mechanisms and functions of theta rhythms.Annual review of neuro- science, 36(1):295–312, 2013

Reference 22

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Observation dfcbb5fb-b333-44f8-8641-1c293e74f066 · outbound

This paper cites The physiological basis of the effects of intermittent theta burst stimulationofthehumanmotorcortex.The Journal of physiology, 586(16):3871–3879, 2008.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing The physiological basis of the effects of intermittent theta burst stimulationofthehumanmotorcortex.The Journal of physiology, 586(16):3871–3879, 2008

Reference 23

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Observation 67b4dd23-b060-44f9-b196-8f212e4b02d0 · outbound

This paper cites Achieving modulated oscillations by feedback control.Physical Review E, 90(2):022909, 2014.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Achieving modulated oscillations by feedback control.Physical Review E, 90(2):022909, 2014

Reference 24

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Observation 5948efde-7072-4b6a-908e-7a79a8da12f7 · outbound

This paper cites A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators.Nature Communications, 12(1):5894, 2021.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing A frequency-amplitude coordinator and its optimal energy consumption for biological oscillators.Nature Communications, 12(1):5894, 2021

Reference 25

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Observation 98ba02b1-6b18-4624-960c-3120058f8b2f · outbound

This paper cites Sliding-mode control of a soft robot based on data-driven sparse identification.Control Engineering Practice, 2024.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Sliding-mode control of a soft robot based on data-driven sparse identification.Control Engineering Practice, 2024

Reference 26

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Observation b56eba80-d384-4d25-9056-d86331438aed · outbound

This paper cites Brunton, Joshua L.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Brunton, Joshua L

Reference 27

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Source-reported events for the cited work

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Observation 4533bc46-5a83-4a45-a3b7-6dc7be81a8da · outbound

This paper cites On the convergence of the sindy algorithm.Multiscale Model.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing On the convergence of the sindy algorithm.Multiscale Model

Reference 28

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Observation 81a7ef46-4940-4260-88f2-2146a9fe3214 · outbound

This paper cites An improved koopman-mpc framework for data-driven modeling and control of soft actuators.IEEE Robotics and Automation Letters, 8:616–623, 2023.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing An improved koopman-mpc framework for data-driven modeling and control of soft actuators.IEEE Robotics and Automation Letters, 8:616–623, 2023

Reference 29

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Observation a1944399-521d-4955-bbee-1919a0b3f01a · outbound

This paper cites PD-Based and SINDy Nonlinear Dynamics Identification of UAVs for MPC Design.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing PD-Based and SINDy Nonlinear Dynamics Identification of UAVs for MPC Design

Reference 30

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local_arxiv, observed 2026-08-15T21:40:00.236264Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cdf65f3c-0e02-4e45-9aca-eb1647519b32 · outbound

This paper cites Brunton, Joshua L.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Brunton, Joshua L

Reference 31

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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.

source=pdf_text observed=2026-08-15T21:40:00.140266Z digest=sha256:21a3b44e35595cd9237d74b3bcf074845cb92bfab90d96cde668d74a5c1ad6e4

Observation 4357beb8-db0d-4877-bd77-62aa5fa91271 · outbound

This paper cites The takens embedding theorem.International Journal of Bifurcation and Chaos, 1(04):867–872, 1991.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing The takens embedding theorem.International Journal of Bifurcation and Chaos, 1(04):867–872, 1991

Reference 32

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no resolver link, observed 2026-08-15T21:40:00.145748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation eab24b48-bb2e-491a-8879-54e59f3eba79 · outbound

This paper cites Rudy, Steven L.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Rudy, Steven L

Reference 33

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verified fuzzy
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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 64aab283-cfb4-46e1-9dce-5fb218c2b0f0 · outbound

This paper cites CRC press, 2018.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing CRC press, 2018

Reference 34

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 588f3f96-88ba-4ba3-80a1-5e72168e66cd · outbound

This paper cites an unresolved cited work.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Unresolved cited work

Reference 35

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unresolved
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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.

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Observation 03fb2ec1-74b9-4c5c-b844-f23e1169f5c6 · outbound

This paper cites Periodic event- triggered adaptive tracking control design for nonlinear discrete-time systems via reinforce- ment learning.Neural Networks, 154:43–55, 2022.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Periodic event- triggered adaptive tracking control design for nonlinear discrete-time systems via reinforce- ment learning.Neural Networks, 154:43–55, 2022

Reference 36

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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.

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Observation a5766690-a8c2-4a7f-855e-d913629be8e9 · outbound

This paper cites Dynamic event-triggered and self-triggered control for multi-agent systems.IEEE Transactions on Automatic Con- trol, 64(8):3300–3307, 2018.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Dynamic event-triggered and self-triggered control for multi-agent systems.IEEE Transactions on Automatic Con- trol, 64(8):3300–3307, 2018

Reference 37

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verified fuzzy
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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.

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Observation ef58e17f-ed34-44c8-9aef-2ed055da50a3 · outbound

This paper cites Stochastic versions of the lasalle theorem.Journal of Differential Equations, 153:175–195, 1999.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Stochastic versions of the lasalle theorem.Journal of Differential Equations, 153:175–195, 1999

Reference 38

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verified fuzzy
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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.

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Observation b0d951c9-a07f-44c0-8f67-8ee3504425d7 · outbound

This paper cites Springer Science & Business Media, 1991.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Springer Science & Business Media, 1991

Reference 39

Resolution
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Unavailable: canonical work link unavailable.

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Observation 966d36e4-7ce8-4e34-8946-791321d9c329 · outbound

This paper cites Elsevier, 2007.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Elsevier, 2007

Reference 40

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no resolver link, observed 2026-08-15T21:40:00.180353Z

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Unavailable: canonical work link unavailable.

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Observation ba3a5c54-1815-444e-a1fc-525d2a76d29b · outbound

This paper cites Springer Science & Business Media, 2012.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Springer Science & Business Media, 2012

Reference 41

Resolution
verified fuzzy
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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.

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Observation d2550c53-4e86-4686-9296-4903cd040507 · outbound

This paper cites Anoteonthelasalle-typetheoremsforstochasticdifferentialdelayequations.

Adaptive control for multi-scale stochastic dynamical systems with stochastic next generation reservoir computing Anoteonthelasalle-typetheoremsforstochasticdifferentialdelayequations

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:40:00.249714Z

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.

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Pith citing papers

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