Paper Citation Record · LEDGER

MMA Training: Direct Input Space Margin Maximization through Adversarial Training

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1812.02637.

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

pith.paper-citation-record.v1
1812.02637 v4

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 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:44:11.829657Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:12:34.748989Z

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 de5b0385-c5af-4f1e-875d-54fa8df62505 · inbound

A Survey of Secure Semantic Communications cites this paper.

A Survey of Secure Semantic Communications MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Reference 156

Resolution: unresolved; no resolver link, observed 2026-08-10T22:44:11.829657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c99ca22c-85a5-4862-83bf-2100ffe79be2 · inbound

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift cites this paper.

Robustifying Diffusion-Denoised Smoothing Against Covariate Shift MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T17:30:02.191084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 961401b3-dae1-47c8-99ba-6dd16c0d97cc · inbound

Stochastic Krylov Dynamics: Revisiting Operator Growth in Open Quantum Systems cites this paper.

Stochastic Krylov Dynamics: Revisiting Operator Growth in Open Quantum Systems MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:51:04.258914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fca9f081-1292-45fe-9c55-381235c9f95f · inbound

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

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:12:39.552859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e8cfb79f-717e-4981-855a-c469bf109740 · inbound

SORA: Free Second-Order Attacks in Fast Adversarial Training cites this paper.

SORA: Free Second-Order Attacks in Fast Adversarial Training MMA Training: Direct Input Space Margin Maximization through Adversarial Training

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:12:34.750474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.