Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2405.21063.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:48:46.423373Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 50dbaa31-970b-4b29-be9d-af88e86261e9 · inbound
Neural Network Certification Informed Power System Transient Stability Preventive Control with Renewable Energy Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3997a737-b5f7-4432-bec5-697ddf596016 · inbound
Creating a Formally Verified Neural Network for Autonomous Navigation: An Experience Report Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 29
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 409016e3-97dc-45a7-ba12-a15eb4dcf128 · inbound
Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5f2b1eb7-cca3-4c92-b769-4b8b37409c78 · inbound
Learning Ensembles of Vision-based Safety Control Filters Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 37
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5b7010ce-904a-4c60-8055-0466513b2f37 · inbound
The Fifth International Verification of Neural Networks Competition (VNN-COMP 2024): Summary and Results Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 58
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 754be986-f506-4ff6-9ca1-f767c5a94198 · inbound
A General Framework for Property-Driven Machine Learning Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 58
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab3f89a2-019c-4dfe-b720-6f42759e598f · inbound
Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 34
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d631dc46-40b4-4e3b-aec4-aaaff1299cb4 · inbound
Efficient Neural Network Verification via Order Leading Exploration of Branch-and-Bound Trees Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 42
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d035957b-3704-40da-9fd8-b719f80e7090 · inbound
Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 18
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51a7b209-9a09-44a2-a23a-354b30e11f41 · inbound
Lipschitz-Based Robustness Certification Under Floating-Point Execution Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6febac0b-1be7-4f5b-9b7f-8ade59e51231 · inbound
Lipschitz-Based Robustness Certification Under Floating-Point Execution Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 38
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b5522124-4ff4-48cd-9dd5-d8742973c42c · inbound
Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 108
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 658030a6-7fad-439b-a52e-ab80bf4c9310 · inbound
Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 108
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation be345417-296e-498a-b8c4-046135a12db7 · inbound
Neural Network Verification using Partial Multi-Neuron Relaxation Neural Network Verification with Branch-and-Bound for General Nonlinearities
Reference 38
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.