Paper Citation Record · LEDGER

Is Certifying $\ell_p$ Robustness Still Worthwhile?

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.09361.

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

pith.paper-citation-record.v1
2310.09361 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:35:33.709730Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:00:22.230933Z

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 4b4caa3e-fc1c-4567-80f1-830395a61a7b · inbound

Towards Generalized Certified Robustness with Multi-Norm Training cites this paper.

Towards Generalized Certified Robustness with Multi-Norm Training Is Certifying $\ell_p$ Robustness Still Worthwhile?

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:03:24.407827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9aef8c3b-5219-46c2-922d-a1790643f88b · inbound

A Formally Verified Robustness Certifier for Neural Networks (Extended Version) cites this paper.

A Formally Verified Robustness Certifier for Neural Networks (Extended Version) Is Certifying $\ell_p$ Robustness Still Worthwhile?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T22:35:33.709730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdfb4625-c741-459c-bd61-fce61f29652d · inbound

Position: Certified Robustness Does Not (Yet) Imply Model Security cites this paper.

Position: Certified Robustness Does Not (Yet) Imply Model Security Is Certifying $\ell_p$ Robustness Still Worthwhile?

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T00:44:02.111831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b82ae8b-4b7a-483b-a19b-72b7cd6c8cd3 · inbound

Lipschitz Optimization for Formal Verification of Homographies cites this paper.

Lipschitz Optimization for Formal Verification of Homographies Is Certifying $\ell_p$ Robustness Still Worthwhile?

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:00:22.234821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.