Paper Citation Record · LEDGER

Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2308.12833.

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

pith.paper-citation-record.v1
2308.12833 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 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 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T00:12:04.871771Z

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

29
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 8f61907b-3f67-4fba-ac27-2bc39558b951 · inbound

StarCoder 2 and The Stack v2: The Next Generation cites this paper.

StarCoder 2 and The Stack v2: The Next Generation Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 236

Resolution: verified exact; arxiv_id, observed 2026-05-12T17:28:22.907337Z

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 ec2c5be0-a579-4252-b93b-289b9ae89f95 · inbound

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models cites this paper.

Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding Models Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T00:12:04.871771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ed1bb7-229a-4867-b1a9-1fe7cace9c4d · inbound

From nuclear safety to LLM security: Applying non-probabilistic risk management strategies to build safe and secure LLM-powered systems cites this paper.

From nuclear safety to LLM security: Applying non-probabilistic risk management strategies to build safe and secure LLM-powered systems Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T15:35:47.840665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df8f36f9-83c9-4aec-85a8-5af897699b7f · inbound

System Prompt Extraction Attacks and Defenses in Large Language Models cites this paper.

System Prompt Extraction Attacks and Defenses in Large Language Models Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T13:28:17.621783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47f679fa-9a3e-40a2-a9b1-e73ef5f4e6c1 · inbound

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets cites this paper.

Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:26.893485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44c79d5e-b731-4f64-99df-022103abe32d · inbound

LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning cites this paper.

LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:56.464742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7587ae3b-1737-4ace-ae01-7df9eb24a1e6 · inbound

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework cites this paper.

Identifying Pre-training Data in LLMs: A Neuron Activation-Based Detection Framework Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T15:15:21.317329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb7354c1-fee5-4b56-b0fc-eb38e116ca6c · inbound

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems cites this paper.

LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 215

Resolution: unresolved; no resolver link, observed 2026-08-04T17:46:19.539260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c8e0e9a-082f-4850-bf4e-be2ff16d840c · inbound

Red Teaming Large Reasoning Models cites this paper.

Red Teaming Large Reasoning Models Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-17T03:31:28.603091Z

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 0c85acd5-7d36-441b-9bcc-b06dd91044bb · inbound

Fully Homomorphic Encryption on Llama 3 model for privacy preserving LLM inference cites this paper.

Fully Homomorphic Encryption on Llama 3 model for privacy preserving LLM inference Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:45:59.815333Z

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 18ed5e37-e215-4bf9-bd73-eeefd5cd638b · inbound

Segment-Level Coherence for Robust Harmful Intent Probing in LLMs cites this paper.

Segment-Level Coherence for Robust Harmful Intent Probing in LLMs Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:10:08.566078Z

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 90a5ed87-0e5a-4cea-bc56-375af0d945d5 · inbound

CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction cites this paper.

CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:46:55.965303Z

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.