Paper Citation Record · LEDGER

Bag of Tricks for Adversarial Training

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.00467.

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

pith.paper-citation-record.v1
2010.00467 v3

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 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:30:21.489243Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:37:13.923161Z

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 736a5a24-abad-44a1-aa91-405fc2113bbc · inbound

HEM: a margin-based loss for visual categorisation tasks cites this paper.

HEM: a margin-based loss for visual categorisation tasks Bag of Tricks for Adversarial Training

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.489243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e8d38e7-3620-4f5d-a7f1-2ce96d182e00 · inbound

SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense cites this paper.

SHIELD: Secure Hypernetworks for Incremental Expansion Learning Defense Bag of Tricks for Adversarial Training

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:22:42.168878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0104f330-7706-4045-ae32-a3f292c694a3 · inbound

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement cites this paper.

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement Bag of Tricks for Adversarial Training

Reference 141

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:07:41.131708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 28291385-cc0b-4e84-a09f-78ba05e50e68 · 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 Bag of Tricks for Adversarial Training

Reference 95

Resolution: verified exact; arxiv_id, observed 2026-07-02T06:36:43.886680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e002e9b-0887-4f46-92e9-a0efb2ad4dcf · inbound

Homogenization of $\ell_2$-Adversarial Training in High-Dimensions: Exact Dynamics under Stochastic Gradient Descent cites this paper.

Homogenization of $\ell_2$-Adversarial Training in High-Dimensions: Exact Dynamics under Stochastic Gradient Descent Bag of Tricks for Adversarial Training

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:37:13.924788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.