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Paper Citation Record · LEDGER

A Dual Approach to Scalable Verification of Deep Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.06567.

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

pith.paper-citation-record.v1
1803.06567 v2

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T20:45:41.672620Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-24T20:09:52.748692Z

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 69ebde70-d6b2-4381-a5b3-aa6c15d33017 · inbound

Connecting Lyapunov Control Theory to Adversarial Attacks cites this paper.

Connecting Lyapunov Control Theory to Adversarial Attacks A Dual Approach to Scalable Verification of Deep Networks

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-05-24T20:09:52.751982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-24T20:08:53.831112Z digest=sha256:8585b0c8321e9d1a6ebc4e7963c67c2e19b4203da89c26fff3b8f92be85f933c

Observation d303891d-1745-44c8-8a3f-6d07223da294 · inbound

TorchLean: Formalizing Neural Networks in Lean cites this paper.

TorchLean: Formalizing Neural Networks in Lean A Dual Approach to Scalable Verification of Deep Networks

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-02T20:45:41.672620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:45:41.672620Z digest=sha256:a9d89c700d0620927e2964644268c2beb779dffead5edf7f2955370ab0f69d86