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Paper Citation Record · LEDGER

Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2402.17840.

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

pith.paper-citation-record.v1
2402.17840 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 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 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:56:20.345257Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.294873Z

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 eb136f9b-27dd-4de0-9a9a-d64e7d7c503b · inbound

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 151

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:08:25.831705Z

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.

source=pdf_text observed=2026-05-23T21:08:11.787013Z digest=sha256:97716637864dbd51adab3c200f3a3637539f299c80ff348fceb52a8c00e3ad1f

Observation 0e0fe80d-bae9-4706-a593-4b28a0314dc6 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 213

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:42:33.812297Z

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.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:69c57071e415075eca7221352483985fc3a8362ea3004c830fb1a2514df8c534

Observation 17444477-7d41-4668-a3b1-4a5da87d1633 · inbound

Provably Secure Retrieval-Augmented Generation cites this paper.

Provably Secure Retrieval-Augmented Generation Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T05:56:20.345257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:56:20.345257Z digest=sha256:ac7484c2ffecffbe3dfcbd4242cc3c0459568aea2338cce11cf49d7028bc7a69

Observation b0aa6cb5-c1fd-4c7d-abd8-b154a883c3b1 · inbound

Adaptive Backtracking for Privacy Protection in Large Language Models cites this paper.

Adaptive Backtracking for Privacy Protection in Large Language Models Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-05T23:04:08.330954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T23:04:08.330954Z digest=sha256:c7c61ff290eff855dccdc37953189ade575b9cb5646e9a13236d3b3c822dd060

Observation 5a64ef3c-0887-4c1b-a35c-744093e28440 · inbound

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

Layer-Wise Perturbations via Sparse Autoencoders for Adversarial Text Generation Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 167

Resolution
unresolved
no resolver link, observed 2026-08-05T20:31:48.352989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:31:48.352989Z digest=sha256:b80c454be029cbee37073a67206a7558adf151ef614c0dc8dc1db1a492dae4dd

Observation 0c28c9bf-1392-4aed-800f-40f214510039 · inbound

Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework cites this paper.

Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-05T16:07:57.804090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:07:57.804090Z digest=sha256:a3e2b40b58d341cf969d8fffc849defb822ce3fe0d33e3ede854277e05319237

Observation b9eacf30-671b-48ff-9f6f-567352a2d5ce · inbound

RAG Security and Privacy: Formalizing the Threat Model and Attack Surface cites this paper.

RAG Security and Privacy: Formalizing the Threat Model and Attack Surface Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T15:17:39.473035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T15:17:39.473035Z digest=sha256:9f12319c66a2a875a34aa73b44a17601df7042176d2d6b8a4df4e6d724b15811

Observation b042ad2c-0f57-4529-9692-c6ba20eed438 · inbound

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

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-03T03:04:47.828603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:04:47.828603Z digest=sha256:f819af40272bc31f789a5f52c8d744496634a596bc0ad4128f483cedb8e1ac1e

Observation 69295e96-351f-4d86-bba3-1ef80d339fdc · inbound

Not All Entities are Created Equal: A Dynamic Anonymization Framework for Privacy-Preserving RAG cites this paper.

Not All Entities are Created Equal: A Dynamic Anonymization Framework for Privacy-Preserving RAG Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 35

Resolution
unresolved
no resolver link, observed 2026-07-13T17:49:06.893176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:49:06.893176Z digest=sha256:874e4b9b4800f03188851a7f0c412f2b776fb1cde7a198f33fcc124126b61b01

Observation 96f781f4-4838-4c62-be3a-574b561abaf0 · 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 Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:45:57.588526Z

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.

source=pdf_text observed=2026-05-10T17:57:59.918483Z digest=sha256:556bfe513a033573584dc2be2bd1aff7d972e40a4ab4f8d08061ceacdb05dafb

Observation c9704e42-bcf7-4780-9e1a-fa239453f45b · inbound

AgenTEE: Confidential LLM Agent Execution on Edge Devices cites this paper.

AgenTEE: Confidential LLM Agent Execution on Edge Devices Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:40:19.388342Z

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.

source=pdf_text observed=2026-05-10T04:46:53.351566Z digest=sha256:7e70c1648f500eb0b0ba9a8d45307d73d3d1544fc4ec3089b4d41821e4ccc660

Observation e5b57ec6-c7d0-41b5-86ab-add5d411ffb7 · inbound

LeakDojo: Decoding the Leakage Threats of RAG Systems cites this paper.

LeakDojo: Decoding the Leakage Threats of RAG Systems Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:21:09.551420Z

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.

source=pdf_text observed=2026-05-08T09:28:51.867300Z digest=sha256:606b562d09c9a071e9594fe3ecf9648711619cf5aaf64274a1d1c18a2af10281

Observation 1e85ccc1-133f-43e9-85bf-8040f309db6d · inbound

MRMMIA: Membership Inference Attacks on Memory in Chat Agents cites this paper.

MRMMIA: Membership Inference Attacks on Memory in Chat Agents Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:13:27.029082Z

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.

source=pdf_text observed=2026-06-29T12:04:53.511344Z digest=sha256:852adafde737a8d27a10cdd250928ac9714ba4aac9758c24bae000b9044b0065

Observation 720e2610-6a40-476d-8d25-45faf0dbb618 · inbound

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents cites this paper.

Agents That Know Too Much: A Data-Centric Survey of Privacy in LLM Agents Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 94

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T14:09:53.296987Z

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.

source=pdf_text observed=2026-06-26T04:29:16.386339Z digest=sha256:afa6c53adf0f90793cb701e3ff6da278963c5771c9ca1cc976e7ec18a99949b6

Observation 481294e0-57d9-480b-b4b1-ffdf9cc66245 · inbound

Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents cites this paper.

Isolated but Exposed: Persistence-Based Memory Extraction Attack on LLM Agents Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 20

Resolution
unresolved
no resolver link, observed 2026-07-30T22:03:09.921668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T22:03:09.921668Z digest=sha256:6514c79ac5aa0cc6a560194c74cf9488c5dc5b39f5baa480e5bda826ea15041f