Paper Citation Record · LEDGER

A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.06662.

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

pith.paper-citation-record.v1
2410.06662 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:53:52.435560Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:05:21.427345Z

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 09ce8264-3403-45fc-b79f-faa15079c716 · inbound

Beyond Interval MDPs: Tight and Efficient Abstractions of Stochastic Systems cites this paper.

Beyond Interval MDPs: Tight and Efficient Abstractions of Stochastic Systems A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:53:52.435560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2629d6bd-7853-4fb2-a2f6-4b639585238c · inbound

Incremental Data-Driven Policy Synthesis via Game Abstractions cites this paper.

Incremental Data-Driven Policy Synthesis via Game Abstractions A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:05:21.429309Z

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.

Observation 41eef03e-8a4e-417f-bd22-d391962ff671 · inbound

StochasticBarrier.jl: A Toolbox for Stochastic Barrier Function Synthesis cites this paper.

StochasticBarrier.jl: A Toolbox for Stochastic Barrier Function Synthesis A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T21:25:01.196953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2ccecd8-14ff-4878-a842-5f3c30872e73 · inbound

Safety Certification is Classification cites this paper.

Safety Certification is Classification A data-driven approach for safety quantification of non-linear stochastic systems with unknown additive noise distribution

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:56:09.170869Z

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.