Paper Citation Record · LEDGER

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2109.00498.

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

pith.paper-citation-record.v1
2109.00498 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:48:45.051783Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

43
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 463a7f78-3a61-4fbf-a498-043a79e847ff · inbound

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report cites this paper.

Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-12T15:31:53.290850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2159f7be-f093-4224-bcfb-200a6f1e5c59 · inbound

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics cites this paper.

BaB-ND: Long-Horizon Motion Planning with Branch-and-Bound and Neural Dynamics The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T16:57:33.951726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6bd00db3-fa74-47fc-a6d2-d4fdb01ad322 · inbound

Training Verification-Friendly Neural Networks via Neuron Behavior Consistency cites this paper.

Training Verification-Friendly Neural Networks via Neuron Behavior Consistency The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T13:45:34.404785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b2d08f1-d87d-40b2-9950-99a8515eb46a · inbound

Neural Network Verification is a Programming Language Challenge cites this paper.

Neural Network Verification is a Programming Language Challenge The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:09:21.893724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66bdc893-1070-4a38-99f1-03734ebffe34 · inbound

A General Framework for Property-Driven Machine Learning cites this paper.

A General Framework for Property-Driven Machine Learning The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T04:48:45.051783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 429d0473-896f-4563-befc-932ef5d1a68b · inbound

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification cites this paper.

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-14T17:32:30.556868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a846f578-5d98-4e8b-8d22-d2c735aee76d · inbound

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification cites this paper.

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:45:05.383636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c2366cd-cf4f-4413-a144-0eeb53f7c1c3 · inbound

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

Stress-Testing Neural Network Verifiers with Provably Robust Instances The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:53:23.466237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 89e44501-e8e5-4b5e-ac42-4f37a8cc16eb · inbound

Lipschitz Optimization for Formal Verification of Homographies cites this paper.

Lipschitz Optimization for Formal Verification of Homographies The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:00:22.278321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 054fc462-d998-49a2-863a-5e4ce3179614 · inbound

Shifting-based Optimizable Linear Relaxations for General Activation Functions cites this paper.

Shifting-based Optimizable Linear Relaxations for General Activation Functions The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:39:29.725321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.