Paper Citation Record · LEDGER

Security and Privacy Challenges of Large Language Models: A Survey

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2402.00888.

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

pith.paper-citation-record.v1
2402.00888 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:37:05.317790Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

33
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6b5074e1-c57d-424e-8d51-74bd0f40e082 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Security and Privacy Challenges of Large Language Models: A Survey

Reference 69

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T07:21:39.908926Z

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 0cfee958-fe0c-47db-a9b3-9d3d8745080c · inbound

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions cites this paper.

AI Safety Landscape for Large Language Models: Taxonomy, State-of-the-art, and Future Directions Security and Privacy Challenges of Large Language Models: A Survey

Reference 167

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:55:50.303088Z

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 fcbeb279-a188-41e3-a029-8e2e56bd8be5 · 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 Security and Privacy Challenges of Large Language Models: A Survey

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.215012Z

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 4a0a5409-f638-4ef8-8099-9da1888df7e6 · inbound

Retrieval-Augmented Generation with Graphs (GraphRAG) cites this paper.

Retrieval-Augmented Generation with Graphs (GraphRAG) Security and Privacy Challenges of Large Language Models: A Survey

Reference 74

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T04:33:39.438711Z

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 fc185abe-4110-43ba-a4ab-7f193a8ecfa4 · inbound

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions cites this paper.

Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions Security and Privacy Challenges of Large Language Models: A Survey

Reference 247

Resolution: unresolved; no resolver link, observed 2026-08-10T21:37:05.317790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d907841d-0843-4bbb-9028-695ce17264f5 · inbound

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy Security and Privacy Challenges of Large Language Models: A Survey

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-10T20:05:12.079222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd0a7d43-5122-4bbc-b63a-2a756102bda9 · inbound

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives cites this paper.

Large Language Model Adversarial Landscape Through the Lens of Attack Objectives Security and Privacy Challenges of Large Language Models: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:49.957573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9480e77a-efff-4347-abae-590188524f7c · inbound

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks cites this paper.

Commercial LLM Agents Are Already Vulnerable to Simple Yet Dangerous Attacks Security and Privacy Challenges of Large Language Models: A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T04:37:28.371361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e78aab51-9608-446f-8e11-a7efe49bf851 · inbound

LLM Access Shield: Domain-Specific LLM Framework for Privacy Policy Compliance cites this paper.

LLM Access Shield: Domain-Specific LLM Framework for Privacy Policy Compliance Security and Privacy Challenges of Large Language Models: A Survey

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T15:07:01.396235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e6a621d-0677-4b31-80a8-d4632a19d3b8 · inbound

Measuring Human Involvement in AI-Generated Text: A Case Study on Academic Writing cites this paper.

Measuring Human Involvement in AI-Generated Text: A Case Study on Academic Writing Security and Privacy Challenges of Large Language Models: A Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:06:06.546417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47741064-91e7-4d67-ab2a-e61c9f05b7f6 · inbound

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt cites this paper.

To Protect the LLM Agent Against the Prompt Injection Attack with Polymorphic Prompt Security and Privacy Challenges of Large Language Models: A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:26.510759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8deb338c-8eb3-4bc8-a220-41ca7b86d17c · inbound

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation cites this paper.

SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation Security and Privacy Challenges of Large Language Models: A Survey

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:46:09.958080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f73c47e-60c8-429b-b644-d9c090709542 · inbound

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction cites this paper.

KRONE: Scalable LLM-Augmented Log Anomaly Detection via Hierarchical Abstraction Security and Privacy Challenges of Large Language Models: A Survey

Reference 77

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:00:43.001148Z

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 6647ae1b-2344-4aa8-8ec6-e0af452f1d91 · inbound

FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs cites this paper.

FedSpy-LLM: Towards Scalable and Generalizable Data Reconstruction Attacks from Gradients on LLMs Security and Privacy Challenges of Large Language Models: A Survey

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T23:30:51.367592Z

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 c7f26025-f9e5-4ff2-a439-d3f7dd6956da · inbound

GuardSec: A Multi-Modal Web Platform for Real-Time Digital Fraud Detection, Entity Verification, and Connection Security Analysis in the African Context cites this paper.

GuardSec: A Multi-Modal Web Platform for Real-Time Digital Fraud Detection, Entity Verification, and Connection Security Analysis in the African Context Security and Privacy Challenges of Large Language Models: A Survey

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:00:36.797840Z

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 c3d870fb-a7f6-4775-9bf9-7591c07b4b5e · inbound

GuardSec: A Multi-Modal Web Platform for Real-Time Digital Fraud Detection, Entity Verification, and Connection Security Analysis in the African Context cites this paper.

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:08:04.255978Z

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 cf541411-6933-4367-afe6-2f0c3800d446 · inbound

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning cites this paper.

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning Security and Privacy Challenges of Large Language Models: A Survey

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T21:52:48.263207Z

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.