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Paper Citation Record · LEDGER

Learning a Formally Verified Control Barrier Function in Stochastic Environment

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.19332.

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

pith.paper-citation-record.v1
2403.19332 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:46:41.344517Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T03:05:53.083449Z

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 f4498b81-f678-48c1-9169-4797d9150f44 · inbound

Towards Mitigating Sim2Real Gaps: A Formal Quantitative Approach cites this paper.

Towards Mitigating Sim2Real Gaps: A Formal Quantitative Approach Learning a Formally Verified Control Barrier Function in Stochastic Environment

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-12T18:46:41.344517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:46:41.344517Z digest=sha256:955b8a108e1de5400ec3ebc004f97c0d6e1314ac6d4753af448aca78dd130987

Observation 185b9a02-f08c-4b12-bd29-d969c8ce818f · inbound

Learning Ensembles of Vision-based Safety Control Filters cites this paper.

Learning Ensembles of Vision-based Safety Control Filters Learning a Formally Verified Control Barrier Function in Stochastic Environment

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-11T23:59:13.607570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:59:13.607570Z digest=sha256:ccbc96669ed310893e3c1157c6332e564ed42ec643db95ff1f327aa6a00b6a49

Observation 16106853-d925-49da-b5da-e67d1d96c214 · inbound

Formal Verification of Neural Certificates Done Dynamically cites this paper.

Formal Verification of Neural Certificates Done Dynamically Learning a Formally Verified Control Barrier Function in Stochastic Environment

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T17:04:54.992321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:04:54.992321Z digest=sha256:5fcd021d03f5a436bd2d8431048dd0018cf58156e3cea66af79442faea98cac8

Observation b7ff126d-1b4d-404c-b0ba-c0b7d780ccc9 · inbound

Safety Certification in the Latent space using Control Barrier Functions and World Models cites this paper.

Safety Certification in the Latent space using Control Barrier Functions and World Models Learning a Formally Verified Control Barrier Function in Stochastic Environment

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T16:20:59.445391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:20:59.445391Z digest=sha256:98a03dfd2737dbf002249411604a44f56e27df167c737c12a057b3e96e65d6a2

Observation a200f604-e2aa-4a08-b193-d1b5146774a5 · inbound

Efficient Verification of Neural Control Barrier Functions with Smooth Nonlinear Activations cites this paper.

Efficient Verification of Neural Control Barrier Functions with Smooth Nonlinear Activations Learning a Formally Verified Control Barrier Function in Stochastic Environment

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:05:53.085944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-11T03:05:23.952346Z digest=sha256:33101c0f8228610c207b317b960a1f63ef99dcc83ed44f2bdfd06bb6a3900f1e