Pith. sign in

Paper Citation Record · LEDGER

A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.11057.

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

pith.paper-citation-record.v1
2502.11057 v3

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 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:42:17.755502Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:30:00.369725Z

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 1d5822a5-3cc6-4b2d-8317-07512c43e9a5 · inbound

HJRNO: Hamilton-Jacobi Reachability with Neural Operators cites this paper.

HJRNO: Hamilton-Jacobi Reachability with Neural Operators A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T05:42:17.755502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:42:17.755502Z digest=sha256:a660fc978ed506413e19dc5e30d15f5f51935cda74e4180462adfa0068751126

Observation d00ae5b9-7110-4b74-ae95-5d2cdced10db · inbound

Stochastic Neural Control Barrier Functions cites this paper.

Stochastic Neural Control Barrier Functions A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:30:00.378603Z

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.

source=pdf_text observed=2026-08-06T22:29:58.755693Z digest=sha256:eea24292ce927cd5f88521e15eb674938b03608b871213187debc291783c2f1d