Pith. sign in

Paper Citation Record · LEDGER

The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2212.10376.

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

pith.paper-citation-record.v1
2212.10376 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:44:03.129488Z

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

28
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 3f0b95e3-04db-43e9-9b1d-6870c49e6c2c · inbound

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

Position: Certified Robustness Does Not (Yet) Imply Model Security The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-07T00:44:03.129488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:44:03.129488Z digest=sha256:7ee14114a6608bd4474922e54d27656d7db3a4a2a3db69a29ff57c81ea548968

Observation 2a4a9049-a355-4f78-a263-b974bec88754 · 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 The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:44.234193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:54:44.234193Z digest=sha256:f117792fee2e7a9793a9e60c699deeddbc62d550d9e51bd8d17aaef03d3a3de8

Observation 27ff35f6-6ebb-4856-ba7b-c62815747ffe · inbound

Analyzing Symbolic Properties for DRL Agents in Systems and Networking cites this paper.

Analyzing Symbolic Properties for DRL Agents in Systems and Networking The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-11T00:10:51.220717Z

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.

source=pdf_text observed=2026-05-10T18:40:41.047907Z digest=sha256:b4a50d397e75c2649a978cbec5f0c48e11222ab9391b8f4bd5ba6b9a9557705c

Observation ee6d7089-9b7b-4012-a447-6e088d92f2f9 · inbound

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

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:32:30.232830Z

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.

source=arxiv_source observed=2026-05-14T17:29:39.346689Z digest=sha256:c98f3ad1cfa4d0e5e04d632aacabd1d4dbfc20724f93aeccd50cc39c63e6490b

Observation e8ded354-4a8b-4f63-84a3-1eb4877f7c68 · inbound

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

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 97

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:45:05.464520Z

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.

source=arxiv_source observed=2026-05-15T05:40:16.030363Z digest=sha256:81e86a34c86a9585cefc644b71ff022f376a15f9eef75d42b0355d08862cd329

Observation ea37b0f6-4de1-4afe-b65e-fd1a8cf8662d · inbound

Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism cites this paper.

Scaling Neural Network Verification with Tensor Parallelism and Fully Sharded Data Parallelism The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T00:17:29.233922Z

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.

source=pdf_text observed=2026-06-27T17:20:04.247977Z digest=sha256:db88812556baed73058abfe558558a2ed7e67af7b6873281d2a44b83df8a4b50

Observation d1c7426a-55c6-4d58-8c20-bb2137be203e · inbound

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

Shifting-based Optimizable Linear Relaxations for General Activation Functions The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:39:29.730825Z

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.

source=pdf_text observed=2026-06-26T17:53:19.172873Z digest=sha256:3cb6485d6b8c2cfc7660d0a333d239b3e43cf1c26bd6e50f19d267c24083a165

Observation 0f76bff9-0b22-4059-b292-21ca6ec4c09e · inbound

A Survey on the Verification of Reinforcement Learning Policies cites this paper.

A Survey on the Verification of Reinforcement Learning Policies The Third International Verification of Neural Networks Competition (VNN-COMP 2022): Summary and Results

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-02T14:02:55.508412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:02:55.508412Z digest=sha256:313863a38752b8a0894faaa70c4ab18d7709ff61c09a56b6e16c6e182ecd2908