Paper Citation Record · LEDGER

Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2411.01705.

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

pith.paper-citation-record.v1
2411.01705 v2

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 2026-08-09T19:32:34.342529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T02:07:33.511366Z

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 c9576b90-5219-4d0a-b615-f383812ed7fe · inbound

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

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-09T19:32:34.342529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8062b654-58f5-4d98-be28-7605204e83c1 · 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 Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-08T19:15:25.472143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1a118d2-8a52-4343-b724-9a54fd3ebcf7 · 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 Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-08T16:16:48.329182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76526ce7-9ab8-4f8a-93f5-f54558aff9f7 · inbound

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG) cites this paper.

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG) Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:51:13.537197Z

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 38cde71c-8a23-49b4-8164-1f55a23a4475 · 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 Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors

Reference 32

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e279c1d2-a791-4d52-8969-6abb6c52eb70 · inbound

SoK: Colluding Adversaries in Machine Learning Pipelines cites this paper.

SoK: Colluding Adversaries in Machine Learning Pipelines Data Extraction Attacks in Retrieval-Augmented Generation via Backdoors

Reference 81

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T02:07:33.513230Z

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.