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Paper Citation Record · LEDGER

Neural Network Verification with PyRAT

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2410.23903.

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

pith.paper-citation-record.v1
2410.23903 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:55:08.256519Z

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

3
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 90c3864b-c7b5-4fb4-9fd1-3003d6a08d18 · inbound

Efficient Certified Reasoning for Binarized Neural Networks cites this paper.

Efficient Certified Reasoning for Binarized Neural Networks Neural Network Verification with PyRAT

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T22:55:08.256519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:55:08.256519Z digest=sha256:72f24be20b9fd8765e5ff7651c4157705531766124184a6bb11ef95183372780

Observation 081769c6-b827-4117-b749-279822a8bda8 · inbound

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

IoUCert: Robustness Verification for Anchor-based Object Detectors Neural Network Verification with PyRAT

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T19:17:08.642165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:17:08.642165Z digest=sha256:099f467094383c8d08833d9c7a81a2e25dc4936001d36ca94e54dfdfca7f7f78

Observation c0a76657-49e5-4724-ad00-105837cb2d0c · inbound

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

Lipschitz-Based Robustness Certification Under Floating-Point Execution Neural Network Verification with PyRAT

Reference 32

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=sha256:8ba32518fc3e1a9d24c758c4bcd43a1331ca0d5cf45b08ac124ea6417f8da86c

Observation 80429c89-f238-40ec-9d98-dd132b03373e · inbound

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

Lipschitz-Based Robustness Certification Under Floating-Point Execution Neural Network Verification with PyRAT

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-02T18:47:59.408560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:47:59.408560Z digest=sha256:4851bc88ed519756a18ae60a2e168c48da55dbb6852e0fe0d0e24e1f4c1a2856

Observation dab221f9-1786-484d-9b29-e0e5ba057d7a · 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 PyRAT

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-14T17:32:30.603428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T17:29:39.346689Z digest=sha256:e5f8ad94bbcfed41c9b5044cb1660601722150b87af97cfb4f45dd7452b378ce

Observation e9d6b566-9f95-4dd1-b2c3-3e6335698240 · 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 PyRAT

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:45:05.409990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T05:40:16.030363Z digest=sha256:a96174f221bdf9ffd7753dd78ba0ffd8b5839c77d997283a37e64eb705d5413f

Observation 41b728e9-918d-4a99-926d-63c45eba8c66 · inbound

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

A Survey on the Verification of Reinforcement Learning Policies Neural Network Verification with PyRAT

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T14:02:54.489903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T14:02:54.489903Z digest=sha256:1595e3973d85c0dd5bf97cdad4d7e5f696457e9181513b3a5dac7d06d85445ad