Paper Citation Record · LEDGER

A Survey of Attacks on Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2505.12567.

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

pith.paper-citation-record.v1
2505.12567 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:23:14.155540Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T11:05:42.376291Z

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 0ce7fa8f-8630-4980-9495-8b48523e056b · inbound

A Survey on Model Extraction Attacks and Defenses for Large Language Models cites this paper.

A Survey on Model Extraction Attacks and Defenses for Large Language Models A Survey of Attacks on Large Language Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T22:23:14.155540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4437ed19-2bef-44be-8e2b-3b2765d5a548 · inbound

Exploiting Web Search Tools of AI Agents for Data Exfiltration cites this paper.

Exploiting Web Search Tools of AI Agents for Data Exfiltration A Survey of Attacks on Large Language Models

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T08:36:07.186914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b3b4624a-5506-431b-8382-3254edd8199a · inbound

Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models cites this paper.

Step-Wise Refusal Dynamics in Autoregressive and Diffusion Language Models A Survey of Attacks on Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T05:45:43.424556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0b1cc9f-0519-459c-bdd1-fcfc6bc94ae5 · inbound

Why Do Large Language Models Generate Harmful Content? cites this paper.

Why Do Large Language Models Generate Harmful Content? A Survey of Attacks on Large Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:21:04.698068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f0ea97eb-3299-4eee-bcf9-d6849840aa43 · inbound

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking cites this paper.

SRTJ: Self-Evolving Rule-Driven Training-Free LLM Jailbreaking A Survey of Attacks on Large Language Models

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:01:12.426820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2da5128-f804-4b81-bdbd-f4f90322c51e · inbound

Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits cites this paper.

Efficient Multi-objective Prompt Optimization via Pure-exploration Bandits A Survey of Attacks on Large Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:53:29.081821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d74a1925-d0ef-4aed-b636-5f55d00c4d90 · inbound

MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection cites this paper.

MemAudit: Post-hoc Auditing of Poisoned Agent Memory via Causal Attribution and Structural Anomaly Detection A Survey of Attacks on Large Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:05:20.417334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b8ccbc72-829b-40be-a8cf-72766e565523 · inbound

A Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems cites this paper.

A Lifecycle and Application-Stack Survey of Large Language Model Vulnerabilities: Attacks, Risks, Defenses, and Open Problems A Survey of Attacks on Large Language Models

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:05:42.377798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.