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Paper Citation Record · LEDGER

Neural Lyapunov Model Predictive Control: Learning Safe Global Controllers from Sub-optimal Examples

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.10451.

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

pith.paper-citation-record.v1
2002.10451 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:22:03.107627Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:01:55.948970Z

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 c06c8abb-3ea7-492a-a323-b9226da52a1a · inbound

Bridging the Digital Divide: Approach to Documenting Early Computing Artifacts Using Established Standards for Cross-Collection Knowledge Integration Ontology cites this paper.

Bridging the Digital Divide: Approach to Documenting Early Computing Artifacts Using Established Standards for Cross-Collection Knowledge Integration Ontology Neural Lyapunov Model Predictive Control: Learning Safe Global Controllers from Sub-optimal Examples

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:01:55.953560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T17:01:55.827403Z digest=sha256:bdc258daddfd0d214df9271159cea903ab2d80bff04437d8692ebe874c0bce99

Observation aa833dd2-2e61-44c9-8f5b-2b7fdab37d08 · inbound

Safe Physics-Informed Machine Learning for Dynamics and Control cites this paper.

Safe Physics-Informed Machine Learning for Dynamics and Control Neural Lyapunov Model Predictive Control: Learning Safe Global Controllers from Sub-optimal Examples

Reference 152

Resolution
unresolved
no resolver link, observed 2026-08-16T12:22:03.107627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:22:03.107627Z digest=sha256:52550cd2510959af50942706ea42d69892c6796b1d4cf03ab57d24323597570d

Observation 3436a500-c36f-4795-9611-97b0c128d9f9 · inbound

Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control cites this paper.

Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control Neural Lyapunov Model Predictive Control: Learning Safe Global Controllers from Sub-optimal Examples

Reference 2011

Resolution
unresolved
no resolver link, observed 2026-08-16T12:19:48.234643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:19:48.234643Z digest=sha256:05b8efc8d50204dc73ebe4ab64630d973ce6d1c87ee318b23573a9d123cca360