Paper Citation Record · LEDGER

Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2409.08045.

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

pith.paper-citation-record.v1
2409.08045 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:25.173850Z

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

3
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 6cd22c1e-5ed4-4bb7-857d-12fb52d38660 · inbound

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey cites this paper.

Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A Survey Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T19:15:25.173850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7038cf7-8e0b-4c91-9e31-281f329f7f40 · inbound

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning cites this paper.

Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T16:16:48.191060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f00606c0-a63f-4c5e-814e-3f0024de8c16 · inbound

Provably Secure Retrieval-Augmented Generation cites this paper.

Provably Secure Retrieval-Augmented Generation Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T05:56:20.230391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75706d01-b885-4be0-b33b-cda9c9855b15 · inbound

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation cites this paper.

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 168

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:48.551576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fd1e5b9-00de-4649-953b-a9ee6e7bb058 · inbound

Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous cites this paper.

Invitation Is All You Need! Promptware Attacks Against LLM-Powered Assistants in Production Are Practical and Dangerous Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T19:39:09.657624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9b205d6-f8d7-4550-b4b6-713fc5338b5e · inbound

External Data Extraction Attacks against Retrieval-Augmented Large Language Models cites this paper.

External Data Extraction Attacks against Retrieval-Augmented Large Language Models Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T12:43:23.823124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c326583-7bcf-4b77-89f0-a62690908c72 · inbound

Graphs Don't Stay Secret: Practical Subgraph Reconstruction Attacks on Defended Graph RAG cites this paper.

Graphs Don't Stay Secret: Practical Subgraph Reconstruction Attacks on Defended Graph RAG Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T03:57:24.715339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63c9bf35-a806-41de-8f47-9f1824f828d2 · inbound

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation cites this paper.

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-03T03:04:47.746801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2203f6b0-c840-45fa-89a4-579d7ffa43c6 · inbound

ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying cites this paper.

ADAM: A Systematic Data Extraction Attack on Agent Memory via Adaptive Querying Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:45:57.680222Z

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 e8172605-8999-4e48-9fab-433a6485bfb8 · inbound

Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game cites this paper.

Detecting RAG Extraction Attack via Dual-Path Runtime Integrity Game Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:46:02.399816Z

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 b5425ddd-ccf2-431b-88b4-9202e88386dd · inbound

A Case Study on the Impact of Anonymization Along the RAG Pipeline cites this paper.

A Case Study on the Impact of Anonymization Along the RAG Pipeline Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:58:12.283050Z

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 682bda91-efa4-4914-8417-cef5191ffe41 · inbound

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation cites this paper.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-21T10:04:58.918767Z

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 bf051bc8-9d5b-4e7a-af7d-c81decdffdc9 · inbound

Privacy-Preserving RAG via Multi-Agent Semantic Rewriting: Achieving Confidentiality Without Compromising Contextual Fidelity cites this paper.

Privacy-Preserving RAG via Multi-Agent Semantic Rewriting: Achieving Confidentiality Without Compromising Contextual Fidelity Unleashing Worms and Extracting Data: Escalating the Outcome of Attacks against RAG-based Inference in Scale and Severity Using Jailbreaking

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:20:00.957261Z

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.