Paper Citation Record · LEDGER

A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2312.02003.

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

pith.paper-citation-record.v1
2312.02003 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:10:31.077809Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T11:05:42.299538Z

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 41c1be5d-d1c4-4c49-beb2-818b41dbcde7 · 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 A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.884564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 83bdef7b-67f3-4d75-b703-8cb882d458bf · inbound

Multilingual and Explainable Text Detoxification with Parallel Corpora cites this paper.

Multilingual and Explainable Text Detoxification with Parallel Corpora A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T14:46:59.544480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45f79098-181a-48cc-8f2f-d0f086a81295 · inbound

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory cites this paper.

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:17.755804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3173ad88-a012-454d-9922-8ea6930174b3 · 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 A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 233

Resolution: unresolved; no resolver link, observed 2026-08-10T20:05:12.770788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a701a33-ae22-4dda-9ab4-a90d4ad77df7 · inbound

DETAM: Defending LLMs Against Jailbreak Attacks via Targeted Attention Modification cites this paper.

DETAM: Defending LLMs Against Jailbreak Attacks via Targeted Attention Modification A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-16T12:10:31.077809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ddcc072-603e-43b5-b42a-22025e68d2d7 · inbound

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms cites this paper.

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 258

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:59.436462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f684f326-a56c-4524-bce0-fde82bf4ff65 · inbound

Automated Privacy Information Annotation in Large Language Model Interactions cites this paper.

Automated Privacy Information Annotation in Large Language Model Interactions A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T13:49:49.387007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6014949-e848-43cf-8c45-91f8b432bd27 · inbound

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics cites this paper.

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T17:24:23.878192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e84a383-b9cd-4dad-80b3-a4a42d5dbd95 · inbound

Prompts for Public-Sector LLMs Should Be Governed as Commons cites this paper.

Prompts for Public-Sector LLMs Should Be Governed as Commons A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T18:02:26.879776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ab79604c-d36e-4439-ae77-4285b52da410 · 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 on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-07-01T11:05:42.301129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 75363083-5c36-481d-903b-e2745f9bb9fd · inbound

Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows cites this paper.

Operational Evidence Gaps for LLMs in Fraud Detection and Trust-and-Safety Workflows A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the Ugly

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-02T07:06:19.581859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.