Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 5 inbound Pith citation observations for arXiv:2411.01705.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T19:15:25.472143Z
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 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.