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Paper Citation Record · LEDGER

Lipschitz Bounded Equilibrium Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:47:36.668196Z

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T18:36:32.508064Z digest=sha256:ebf685641e629f7982da3b24a5116675698cb450c30cb57fc9ede6258c22163c

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.

source=pdf_text observed=2026-08-06T17:47:36.668196Z digest=sha256:0dc5f2abbee1142f2a3671fcd65965471aa549ae1c7dc197a64caa00a713576e

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.

source=pdf_text observed=2026-08-04T16:41:20.829500Z digest=sha256:70a46573777db3a6b839222dfd010c04cc835b9cbe6f7d5e52168d1a9e25095f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T10:31:06.865302Z digest=sha256:ef6f163842d5031c6723f67d8e3b7e7046aa99f9ddb8b0b7df19918aef78f5ba

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T02:17:46.406715Z digest=sha256:87d391162786ea709818406ebe9035b7d1bfb6d66fac5eb7887eb622e540523a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T04:45:31.451088Z digest=sha256:6b40d59313cb89c72501ce3386846d47b620932ec40744ca6676a1f8c799e251