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Paper Citation Record · LEDGER

Learning Lyapunov Functions for Piecewise Affine Systems with Neural Network Controllers

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2008.06546.

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

pith.paper-citation-record.v1
2008.06546 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:00.514762Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T03:37:35.172371Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 31d4f177-3ee0-4448-b354-b722ed20d982 · inbound

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity cites this paper.

Learning Neural Controllers with Optimality and Stability Guarantees Using Input-Output Dissipativity Learning Lyapunov Functions for Piecewise Affine Systems with Neural Network Controllers

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T06:04:00.514762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:00.514762Z digest=sha256:8780c13cc176c65b0e87ea76d4e175cfce68c9cda84e391a085ede816bbf9880

Observation d718b00a-ecd2-4d1f-a684-98cedc79d400 · inbound

A constrained symbolic regression approach for Lyapunov function discovery cites this paper.

A constrained symbolic regression approach for Lyapunov function discovery Learning Lyapunov Functions for Piecewise Affine Systems with Neural Network Controllers

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-07-03T03:37:35.173714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T15:15:08.149601Z digest=sha256:39bbc17a80e2752bfb9fd2c855646f6a6139f305d900c5b9ac8702fc7632b36a