Paper Citation Record · LEDGER

A DPLL(T) Framework for Verifying Deep Neural Networks

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2307.10266.

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

pith.paper-citation-record.v1
2307.10266 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:54:44.160076Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-07T22:04:07.464941Z

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 bfe69a1a-28ef-4971-b661-9c21ca7a8ab6 · inbound

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees cites this paper.

Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees A DPLL(T) Framework for Verifying Deep Neural Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T14:54:44.160076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 863c876f-c58f-42de-a501-fbab8321fcac · inbound

Influence-Guided Concolic Testing of Transformer Robustness cites this paper.

Influence-Guided Concolic Testing of Transformer Robustness A DPLL(T) Framework for Verifying Deep Neural Networks

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T14:42:50.595404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de06e761-c490-411d-8040-34dfa718da93 · inbound

IoUCert: Robustness Verification for Anchor-based Object Detectors cites this paper.

IoUCert: Robustness Verification for Anchor-based Object Detectors A DPLL(T) Framework for Verifying Deep Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T19:17:08.536553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b8472a07-09b1-473f-ba45-430fd6830639 · inbound

Stress-Testing Neural Network Verifiers with Provably Robust Instances cites this paper.

Stress-Testing Neural Network Verifiers with Provably Robust Instances A DPLL(T) Framework for Verifying Deep Neural Networks

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:53:23.468871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 09d9749e-2592-447e-8731-cd3da644d5db · inbound

Privacy-Preserving Robustness Verification for Neural Networks cites this paper.

Privacy-Preserving Robustness Verification for Neural Networks A DPLL(T) Framework for Verifying Deep Neural Networks

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-07T22:04:07.488336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.