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Paper Citation Record · LEDGER

Neural Network Verification with Branch-and-Bound for General Nonlinearities

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.

pith.paper-citation-record.v1
2405.21063 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:48:46.423373Z

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

2
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 50dbaa31-970b-4b29-be9d-af88e86261e9 · inbound

Neural Network Certification Informed Power System Transient Stability Preventive Control with Renewable Energy cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-12T21:49:28.062163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:49:28.062163Z digest=sha256:2c7edce6d9e91ebc8b12a1dc608ed798900a56482b35544f3869c3baed10ead9

Observation 3997a737-b5f7-4432-bec5-697ddf596016 · 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 Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T15:31:53.367014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T15:31:53.367014Z digest=sha256:97b89653e4b9257df8d903a644867048bb06113aaae39b8d3845d8c56b2aba46

Observation 409016e3-97dc-45a7-ba12-a15eb4dcf128 · inbound

Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control cites this paper.

Certified Training with Branch-and-Bound for Lyapunov-stable Neural Control Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:43:11.457148Z

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.

source=pdf_text observed=2026-05-23T16:42:11.222124Z digest=sha256:e0a9fb5348e97892d88c6a76a5cda71cd80fd9d57ffbac93516896de2979c9ed

Observation 5f2b1eb7-cca3-4c92-b769-4b8b37409c78 · inbound

Learning Ensembles of Vision-based Safety Control Filters cites this paper.

Learning Ensembles of Vision-based Safety Control Filters Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T23:59:13.602532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:59:13.602532Z digest=sha256:d89b0892f57cdd75c3fb67942fab42d6c7ac569f8692534cf9a76fcb24ebda7c

Observation 5b7010ce-904a-4c60-8055-0466513b2f37 · inbound

The Fifth International Verification of Neural Networks Competition (VNN-COMP 2024): Summary and Results cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-08-10T23:46:42.192595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:46:42.192595Z digest=sha256:bd92dd4e68ff9d2e7cf8daff47a56a978fcab8537a3a60b1f3548ab571512267

Observation 754be986-f506-4ff6-9ca1-f767c5a94198 · inbound

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

A General Framework for Property-Driven Machine Learning Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T04:48:46.423373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:48:46.423373Z digest=sha256:d149bb8dd77018a3cfe1c6612076b0814f10ab33e90c1160b30e722c5a4a339f

Observation ab3f89a2-019c-4dfe-b720-6f42759e598f · inbound

Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification cites this paper.

Adaptive Branch-and-Bound Tree Exploration for Neural Network Verification Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T04:37:13.074491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:37:13.074491Z digest=sha256:dab8e46ce5458bf132d014ac28613f8c10375f5eff9eb3eb8a4968cccf21b50a

Observation d631dc46-40b4-4e3b-aec4-aaaff1299cb4 · 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 Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T14:54:44.260070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T14:54:44.260070Z digest=sha256:467f4b4295008c9b8bd7d8446e5daddc54bf87afafc925ad6c157bb05a410c29

Observation d035957b-3704-40da-9fd8-b719f80e7090 · inbound

Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision cites this paper.

Of Good Demons and Bad Angels: Guaranteeing Safe Control under Finite Precision Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T11:37:01.768386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:37:01.768386Z digest=sha256:0bc979fc7ab3c24e916d55c0ba624ddcad3938e9c98a2031ecfd12b3b25b7776

Observation 51a7b209-9a09-44a2-a23a-354b30e11f41 · inbound

Lipschitz-Based Robustness Certification Under Floating-Point Execution cites this paper.

Lipschitz-Based Robustness Certification Under Floating-Point Execution Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-15T14:07:56.936206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:07:56.936206Z digest=sha256:e96cc23aaf72f117bb87b0027ddccc32ef2318edef33b0287e31a9a00008d731

Observation 6febac0b-1be7-4f5b-9b7f-8ade59e51231 · inbound

Lipschitz-Based Robustness Certification Under Floating-Point Execution cites this paper.

Lipschitz-Based Robustness Certification Under Floating-Point Execution Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-02T18:47:59.435482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:47:59.435482Z digest=sha256:5325091f5c8847b6ab41a7023a0ed9dba8bc867b9af06cad8f65efb85774fd69

Observation b5522124-4ff4-48cd-9dd5-d8742973c42c · inbound

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

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 108

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:32:30.608561Z

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.

source=arxiv_source observed=2026-05-14T17:29:39.346689Z digest=sha256:9b7d4a60daacf33b96661b2a40f5c62d9ec15b5928609fc050dcc2f86ac8d258

Observation 658030a6-7fad-439b-a52e-ab80bf4c9310 · inbound

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

Quantitative Linear Logic for Neuro-Symbolic Learning and Verification Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 108

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:45:05.132293Z

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.

source=arxiv_source observed=2026-05-15T05:40:16.030363Z digest=sha256:2ca367067c99d4ab02fded0bc678d0fa2fbe73ff88e644b430cd8e5828feb896

Observation be345417-296e-498a-b8c4-046135a12db7 · inbound

Neural Network Verification using Partial Multi-Neuron Relaxation cites this paper.

Neural Network Verification using Partial Multi-Neuron Relaxation Neural Network Verification with Branch-and-Bound for General Nonlinearities

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:02:49.697310Z

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.

source=pdf_text observed=2026-06-29T00:00:52.891222Z digest=sha256:0b427ad4e2ea1e754a29d5b66b89922a997f6dad366cf239ce634468c692e1cc