Paper Citation Record · LEDGER

LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2307.10719.

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

pith.paper-citation-record.v1
2307.10719 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:58:57.440037Z

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

20
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 7577613c-6363-42d3-9480-f1a1fe6514db · 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 LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?

Reference 248

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:55:50.193526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 88d160dd-3aaf-451e-ba76-d703f97201c7 · inbound

`Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs cites this paper.

`Do as I say not as I do': A Semi-Automated Approach for Jailbreak Prompt Attack against Multimodal LLMs LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T17:58:57.440037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27d0c8e0-d379-42b4-8675-438300aed070 · inbound

Robust AI Security and Alignment: A Sisyphean Endeavor? cites this paper.

Robust AI Security and Alignment: A Sisyphean Endeavor? LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-16T22:58:38.478396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 755164db-09bb-4d26-81e8-6bfc01279b79 · inbound

Provably Secure Agent Guardrail cites this paper.

Provably Secure Agent Guardrail LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-06-29T07:53:14.252981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 651648e5-3e9a-40f1-b433-d7409df2cef6 · inbound

When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems cites this paper.

When Local Monitors Miss Compositional Harm: Diagnosing Distributed Backdoors in Multi-Agent Systems LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?

Reference 54

Resolution: unresolved; no resolver link, observed 2026-07-14T03:26:15.676915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68e49eda-0cbc-4d03-9204-77c61dc16605 · inbound

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation cites this paper.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T05:44:22.843255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.