Paper Citation Record · LEDGER

Algorithms for Verifying Deep Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1903.06758.

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

pith.paper-citation-record.v1
1903.06758 v2

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:54:03.029678Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T22:17:11.621188Z

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 fabbd3a8-1d8b-4911-9ac2-302add00e9f5 · inbound

Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles cites this paper.

Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles Algorithms for Verifying Deep Neural Networks

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T15:39:40.788642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0944316e-7e9c-4180-b282-7696c304cbb6 · inbound

RTAMT -- Runtime Robustness Monitors with Application to CPS and Robotics cites this paper.

RTAMT -- Runtime Robustness Monitors with Application to CPS and Robotics Algorithms for Verifying Deep Neural Networks

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T16:54:03.029678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56d4b4d0-eb24-46c4-b5b5-253ded3e55d9 · inbound

Polyhedral Enclosures: An Efficient Combinatorial Abstraction for Nonlinear Neural Feedback Systems cites this paper.

Polyhedral Enclosures: An Efficient Combinatorial Abstraction for Nonlinear Neural Feedback Systems Algorithms for Verifying Deep Neural Networks

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:17:11.624481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation aeab106f-690f-43dc-bd56-26351dff7755 · inbound

Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-Networks cites this paper.

Verifiable Safety Q-Filters via Hamilton-Jacobi Reachability and Multiplicative Q-Networks Algorithms for Verifying Deep Neural Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:50.157809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.