Paper Citation Record · LEDGER

RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.18041.

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

pith.paper-citation-record.v1
2504.18041 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 2026-08-15T06:32:42.880941+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:41:04.875614Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T09:31:11.593419Z

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 bed10a0c-0df9-4124-9c5c-73aecea8439d · inbound

Safety Degradation in AI Agents cites this paper.

Safety Degradation in AI Agents RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T15:41:04.875614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbb68cd4-3423-4fb7-946d-878e2646fb5f · inbound

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval cites this paper.

Scalable Defense against In-the-wild Jailbreaking Attacks with Safety Context Retrieval RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:48.529201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c130e7d-4e28-4fdb-aef5-e2eba30ace8f · inbound

Foundation Model Driven Robotics: A Comprehensive Review cites this paper.

Foundation Model Driven Robotics: A Comprehensive Review RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models

Reference 165

Resolution: unresolved; no resolver link, observed 2026-08-06T17:43:53.437109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f36855d8-2b05-43ce-a2d3-fd1595b7f5c0 · inbound

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models cites this paper.

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:31:11.595671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8e8600dd-0e3f-4d53-88b5-dc422d3f952d · inbound

The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation cites this paper.

The Cost of Context: Mitigating Textual Bias in Multimodal Retrieval-Augmented Generation RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:41:08.787667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation acd50243-8b84-43c3-a8a2-28a2408ee2c6 · inbound

Risky Business: Measuring The Faithfulness-Safety Tension cites this paper.

Risky Business: Measuring The Faithfulness-Safety Tension RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T13:40:59.135576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.