Paper Citation Record · LEDGER

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2308.16258.

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

pith.paper-citation-record.v1
2308.16258 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:50:39.202552Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:58:26.384025Z

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 2939db38-827d-45b8-aa89-1d81942c21a2 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

Reference 116

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.387190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 377b2d40-e64b-4034-b364-f4e57442fa45 · inbound

Towards Generalized Certified Robustness with Multi-Norm Training cites this paper.

Towards Generalized Certified Robustness with Multi-Norm Training Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:03:24.413499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 05a1413a-e6be-463d-b988-0814abb915bc · inbound

Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks cites this paper.

Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-12T16:50:39.202552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f4082df-7cdc-46ee-bd3e-f5d41efa4c99 · inbound

FastAT Benchmark: A Comprehensive Framework for Fair Evaluation of Fast Adversarial Training Methods cites this paper.

FastAT Benchmark: A Comprehensive Framework for Fair Evaluation of Fast Adversarial Training Methods Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:24:46.819238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.