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Paper Citation Record · LEDGER

IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2206.14772.

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

pith.paper-citation-record.v1
2206.14772 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T10:08:54.400613Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T06:36:43.861475Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 355b3f1d-9244-400f-89f8-25acec2fb563 · 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 IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-23T16:43:11.501081Z

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=2026-05-23T16:42:11.222124Z digest=sha256:5c68668c8dfe9c9043143e77e910269bf46cb25e735553f87d2b725215eafd19

Observation 2aa8059c-facb-47d7-a354-250b8c857f0b · inbound

Learning Aligned Stability in Neural ODEs Reconciling Accuracy with Robustness cites this paper.

Learning Aligned Stability in Neural ODEs Reconciling Accuracy with Robustness IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-05-18T13:12:37.229139Z

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=2026-05-18T13:11:34.125273Z digest=sha256:39ff21f48647c3962c1d6fdd59e855a057c0f3d6f7c44038c75ca6bdf513c80a

Observation 0daa1278-1c26-4e04-89d2-087e098441ff · inbound

Adversarial Attacks Leverage Interference Between Features in Superposition cites this paper.

Adversarial Attacks Leverage Interference Between Features in Superposition IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T10:08:54.400613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:08:54.400613Z digest=sha256:d2b7728cc97b96ad94644211cc61c297e76de5ff99787944459b0fb71c92d22a

Observation 55b747da-b0b3-47cb-b675-69f87f0b76ef · inbound

Measuring Model Robustness via Fisher Information: Spectral Bounds, Theoretical Guarantees, and Practical Algorithms cites this paper.

Measuring Model Robustness via Fisher Information: Spectral Bounds, Theoretical Guarantees, and Practical Algorithms IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound

Reference 83

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T06:36:43.863130Z

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=2026-06-28T07:23:53.481722Z digest=sha256:f9adf697454ac4b898f4a8f6dbc8f584a17d10129cd935f66d8506447d65bcc8

Observation 9080a8a9-8bc6-4a1e-a682-c72357f090ff · inbound

Certified Training for Convolutional Perturbations cites this paper.

Certified Training for Convolutional Perturbations IBP Regularization for Verified Adversarial Robustness via Branch-and-Bound

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-01T15:48:09.041753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:48:09.041753Z digest=sha256:c6529edd5f8dcdd9163ec886c72a2bda128d8a0ae14001dc72cf8eb72fcf8e24