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Paper Citation Record · LEDGER

Chaos-Free Networks are Stable Recurrent Neural Networks

As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2603.14106.

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

pith.paper-citation-record.v1
2603.14106 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T21:32:19.367153Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

19 of 19 outbound references displayed

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External citation measurements

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Outbound references

Observation 7b731ce4-2111-401f-9a4e-275716aa583a · outbound

This paper cites Deep networks for system identification,.

Chaos-Free Networks are Stable Recurrent Neural Networks Deep networks for system identification,

Reference 1

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Observation baac7c4c-fae8-454f-9e7f-705eab852e23 · outbound

This paper cites an unresolved cited work.

Chaos-Free Networks are Stable Recurrent Neural Networks Unresolved cited work

Reference 2

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Observation 190f1e9e-c994-4fdb-8a01-295af1930f71 · outbound

This paper cites A recurrent neural network without chaos.

Chaos-Free Networks are Stable Recurrent Neural Networks A recurrent neural network without chaos

Reference 3

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Observation 62681e02-9803-40cc-bc85-545c1fb12bf8 · outbound

This paper cites On Recurrent Neural Networks for learning-based control,.

Chaos-Free Networks are Stable Recurrent Neural Networks On Recurrent Neural Networks for learning-based control,

Reference 4

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Observation db3a508e-183d-43f4-9830-5c92bfc3769f · outbound

This paper cites Learning model predictive control with long short-term memory networks,.

Chaos-Free Networks are Stable Recurrent Neural Networks Learning model predictive control with long short-term memory networks,

Reference 5

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Observation ef344fc9-a61a-4eee-a405-9b838dda9e20 · outbound

This paper cites On the stability properties of Gated Recurrent Units neural networks,.

Chaos-Free Networks are Stable Recurrent Neural Networks On the stability properties of Gated Recurrent Units neural networks,

Reference 6

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Observation 288849bd-08a7-4130-9dd5-305adf704683 · outbound

This paper cites An Incremental Input-to- State Stability Condition for a Class of Recurrent Neural Networks,.

Chaos-Free Networks are Stable Recurrent Neural Networks An Incremental Input-to- State Stability Condition for a Class of Recurrent Neural Networks,

Reference 7

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Observation ddf28547-2354-4713-9721-44c3a6ff268b · outbound

This paper cites Infinity-norm-based Input-to-State-Stable Long Short- Term Memory networks,.

Chaos-Free Networks are Stable Recurrent Neural Networks Infinity-norm-based Input-to-State-Stable Long Short- Term Memory networks,

Reference 8

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Observation 62a6da5b-9d57-4ee9-a3c3-24ac1106ac1a · outbound

This paper cites Robust Offset-Free Constrained Model Predictive Control With Long Short-Term Memory Networks,.

Chaos-Free Networks are Stable Recurrent Neural Networks Robust Offset-Free Constrained Model Predictive Control With Long Short-Term Memory Networks,

Reference 9

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Observation 07f5a24e-7c2e-4ecd-babc-4b854634885a · outbound

This paper cites Robust constrained nonlinear Model Predictive Control with Gated Recurrent Unit model,.

Chaos-Free Networks are Stable Recurrent Neural Networks Robust constrained nonlinear Model Predictive Control with Gated Recurrent Unit model,

Reference 10

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Observation 739bbdb4-fda7-4dbb-9396-aa9ce15aeba2 · outbound

This paper cites Stable Recurrent Models.

Chaos-Free Networks are Stable Recurrent Neural Networks Stable Recurrent Models

Reference 11

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Observation ab8e13ff-5c53-477b-b591-3cfcedf782ec · outbound

This paper cites Deep equilibrium models,.

Chaos-Free Networks are Stable Recurrent Neural Networks Deep equilibrium models,

Reference 12

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Observation 0276413d-ab11-452e-9cc4-a51ba4cceb6a · outbound

This paper cites Strogatz,Nonlinear Dynamics and Chaos, ser.

Chaos-Free Networks are Stable Recurrent Neural Networks Strogatz,Nonlinear Dynamics and Chaos, ser

Reference 13

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Observation c8bd8db5-671d-4714-a94e-573bbfeb2cc0 · outbound

This paper cites A compendium of comparison function results,.

Chaos-Free Networks are Stable Recurrent Neural Networks A compendium of comparison function results,

Reference 14

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Observation fad34332-72cd-45ac-be38-3b281e0e7d37 · outbound

This paper cites Input-to-state stability for discrete-time nonlinear systems,.

Chaos-Free Networks are Stable Recurrent Neural Networks Input-to-state stability for discrete-time nonlinear systems,

Reference 15

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Observation 6d703bf3-4b82-4b39-bc4c-f0439bbf25b4 · outbound

This paper cites Discrete-time Incremental ISS,.

Chaos-Free Networks are Stable Recurrent Neural Networks Discrete-time Incremental ISS,

Reference 16

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Observation 754573eb-9287-4c1d-aa91-0ad9dbdeb747 · outbound

This paper cites Goodfellow, Y.

Chaos-Free Networks are Stable Recurrent Neural Networks Goodfellow, Y

Reference 17

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Observation 3d16d89a-b9db-481a-8f76-1091b2c7210d · outbound

This paper cites Were RNNs All We Needed?.

Chaos-Free Networks are Stable Recurrent Neural Networks Were RNNs All We Needed?

Reference 18

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Observation 92b18025-80e9-4b5a-a2f4-c6e1d74527b1 · outbound

This paper cites an unresolved cited work.

Chaos-Free Networks are Stable Recurrent Neural Networks Unresolved cited work

Reference 19

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