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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 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 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 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:54:11.526843Z

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T21:08:11.787013Z digest=sha256:a09b23d1fd4cc1fa22ebdecf9cd365fabe7ed868b6a8f8e8a12caa052b55dd7b

Observation 3f01cb3c-421b-4275-95c6-d04ec4d8190d · inbound

Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases cites this paper.

Pirates of the RAG: Adaptively Attacking LLMs to Leak Knowledge Bases Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T04:54:11.526843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T04:54:11.526843Z digest=sha256:bd9c3c68f121c98567782f03528bd6b726cf846c5ca4c9129e102a5786e299e7

Observation 9bbd6c9b-98d4-4c89-a6a5-95dedec59585 · inbound

RAG with Differential Privacy cites this paper.

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

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T00:50:04.672283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:50:04.672283Z digest=sha256:22190fa669a8afa8ad68e4499333473972865c90a0677882ceb46f5385c3bf9c

Observation d42b24ee-76a9-41b0-bfe1-2c1a44091f69 · inbound

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation cites this paper.

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-09T19:32:34.357260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:32:34.357260Z digest=sha256:4946d82b6fa48e890c517f0ac9b589ccdf14875b79a8fdd4e293c64232f411e2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:78591cea551e6fab5002c02c1aaca0cc9dbb3ac9e0db91efe02ba92052e869f4

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=sha256:84d8a6e32d05b61045f69166987b23dd986c64c1258ec5dc0f0f6f6744da70e7

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=sha256:7b0ed5846b4d070ab73544a9907ec521209817a4f1e4504ab5c009cb77069124

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:f2b4dbff3d067ab9b9b406d7a3f07b8ce00ce597f842c418404392309db4953a

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=sha256:2e7bfcf0ebfb244f7cb9119905a4d8926e8c6bcd6862cb58ebc46d4eefc488ec

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=sha256:983e38bf232dc7ebafc09ea963593281a139310f0753c054f994801ab7e34713

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=sha256:25f9aa8ee71700f336201533cff8815344a1201b2bb4a78e59e262727cfefb6f

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=sha256:64bc7110a61e7f84ce824bcb74c5b23375cfc020ba036e9be730395b8f43c3b9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T17:57:59.918483Z digest=sha256:05c469e99296186b1d0ecd548451fd45c2eda927df46b82010c3e3ca16ecd278

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T04:46:53.351566Z digest=sha256:09b6a6f783c7a657d0b309d6f43b6df43aafbe4cb57728fdd51cb1c161a8bea7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T09:28:51.867300Z digest=sha256:d438ff80c8968c733f75e727a8dbce74266f727f12e6d3497433f7c1d09932e0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-29T12:04:53.511344Z digest=sha256:b8583889f58d9e9730d76565f57e22de3d09a7d58236290da1ad5c7a24bcd077

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-26T04:29:16.386339Z digest=sha256:855f767232cec7e42186862715cd3a98b4d8ac5b92de6a4946d50e80b11e2428

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:cdb29a65bead5f05d95971a359ddad430f3ef02bd6ce87c6c9ce953e196354a3