Paper Citation Record · LEDGER

Lipschitz Bounded Equilibrium Networks

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2010.01732.

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

pith.paper-citation-record.v1
2010.01732 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:08:44.162662Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

24
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9e0cce1d-f1b8-4614-a991-942d1c964e69 · inbound

LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers cites this paper.

LipKernel: Lipschitz-Bounded Convolutional Neural Networks via Dissipative Layers Lipschitz Bounded Equilibrium Networks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-23T18:38:18.952727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d67e1f23-603b-4329-b461-6e9a9bd4a3ca · inbound

Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses cites this paper.

Robustly Invertible Nonlinear Dynamics and the BiLipREN: Contracting Neural Models with Contracting Inverses Lipschitz Bounded Equilibrium Networks

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-16T00:08:44.162662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c4ef8c-5520-4674-9bb9-ab787310de81 · inbound

Improved Sum-of-Squares Stability Verification of Neural-Network-Based Controllers cites this paper.

Improved Sum-of-Squares Stability Verification of Neural-Network-Based Controllers Lipschitz Bounded Equilibrium Networks

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T17:47:36.668196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0bbc859-b3e5-4cc4-88f7-aa79e2075367 · inbound

Circuit realization and hardware linearization of monotone operator equilibrium networks cites this paper.

Circuit realization and hardware linearization of monotone operator equilibrium networks Lipschitz Bounded Equilibrium Networks

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T16:41:20.829500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5b08887-65fd-465e-9000-c8239788f9b0 · inbound

A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning cites this paper.

A Nonlinear Separation Principle via Contraction Theory: Applications to Neural Networks, Control, and Learning Lipschitz Bounded Equilibrium Networks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-10T10:34:28.338415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e91e99ea-f429-430b-8324-70ded37255bb · inbound

Bifurcation Models: Learning Set-Valued Solution Maps with Weight-Tied Dynamics cites this paper.

Bifurcation Models: Learning Set-Valued Solution Maps with Weight-Tied Dynamics Lipschitz Bounded Equilibrium Networks

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:45:58.583339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 775a5bd0-bbdb-4792-bc05-e658203e9775 · inbound

Efficient Learning of Affine and Rational Dependency LPV Models With Linear Fractional Representation cites this paper.

Efficient Learning of Affine and Rational Dependency LPV Models With Linear Fractional Representation Lipschitz Bounded Equilibrium Networks

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-13T04:57:17.780027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9aa243a3-2342-4be9-b48e-1b39b759b88c · inbound

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs cites this paper.

Adaptive Stability-Constrained Neural Differential Equations for Controlled Dynamical Systems with Unknown Inputs Lipschitz Bounded Equilibrium Networks

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T18:01:23.198736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.