Paper Citation Record · LEDGER

Adversarial Attacks on Large Language Models Using Regularized Relaxation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.19160.

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

pith.paper-citation-record.v1
2410.19160 v1

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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:55:56.838748Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T18:16:43.786757Z

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 844fb739-fac2-4cc4-822f-18d4d7b318d3 · inbound

Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers cites this paper.

Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers Adversarial Attacks on Large Language Models Using Regularized Relaxation

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T21:55:56.838748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb9f3c42-522a-46ba-92d0-77333ae398ee · inbound

DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities cites this paper.

DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities Adversarial Attacks on Large Language Models Using Regularized Relaxation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T11:32:42.790731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 07b53378-6152-4a74-8b8f-8d9bc75e1e11 · inbound

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework cites this paper.

Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework Adversarial Attacks on Large Language Models Using Regularized Relaxation

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:16:43.789211Z

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.

Observation d950f53f-f4df-4023-9d26-34663f1ed292 · inbound

Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs cites this paper.

Zero-Shot Embedding Drift Detection: A Lightweight Defense Against Prompt Injections in LLMs Adversarial Attacks on Large Language Models Using Regularized Relaxation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T09:53:25.411098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.