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Paper Citation Record · LEDGER

A Formally Verified Robustness Certifier for Neural Networks (Extended Version)

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.06958.

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

pith.paper-citation-record.v1
2505.06958 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T18:47:59.461742Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 cfdb9c01-7a82-420c-9905-88d3dafddf7a · inbound

Lipschitz-Based Robustness Certification Under Floating-Point Execution cites this paper.

Lipschitz-Based Robustness Certification Under Floating-Point Execution A Formally Verified Robustness Certifier for Neural Networks (Extended Version)

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-15T14:07:56.936206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:07:56.936206Z digest=sha256:656b72aedc2ff4e7e10aa1ffc4eef7efc163bf677dd4bd5a1ec68e3a88d9049f

Observation 4ac7ebf0-b3b9-4620-bd09-79f994360109 · inbound

Lipschitz-Based Robustness Certification Under Floating-Point Execution cites this paper.

Lipschitz-Based Robustness Certification Under Floating-Point Execution A Formally Verified Robustness Certifier for Neural Networks (Extended Version)

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T18:47:59.461742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:47:59.461742Z digest=sha256:09a0159f3ef915414f3529cc18a2c03e60f6805696ad550d654048a9ab9c19a6