Paper Citation Record · LEDGER

Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.14773.

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

pith.paper-citation-record.v1
2406.14773 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:30.356202Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:53.305324Z

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 f4326bc1-f3f8-4ad4-acb2-91bfbf16f12a · inbound

RAG with Differential Privacy cites this paper.

RAG with Differential Privacy Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T00:50:04.694809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f676eac-d8c4-4609-8ef3-7b9fa8903822 · inbound

ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation cites this paper.

ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T17:47:46.197616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf863b4-3e8c-4e0c-9b6d-374b3c9ff654 · 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 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 233

Resolution: unresolved; no resolver link, observed 2026-08-08T19:15:25.751974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 666046e8-f994-4a9b-ad59-a27034aa30d0 · 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 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T16:16:48.407726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c85979ea-4819-42d6-a600-9acd00652780 · inbound

EnronQA: Towards Personalized RAG over Private Documents cites this paper.

EnronQA: Towards Personalized RAG over Private Documents Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:30.356202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 863bcf18-5c1b-4906-a48c-8303ec511355 · inbound

Distributed Retrieval-Augmented Generation cites this paper.

Distributed Retrieval-Augmented Generation Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T04:46:38.600667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42cfadf0-fc3a-4261-9873-7e9c470cf2b3 · 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 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T16:07:57.839493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8f87f5d4-288e-4496-a2d8-c1a8c67c998f · inbound

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

Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG) Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:51:13.528342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation baf47370-7f5a-4fe8-b19b-29a8b593e7bd · inbound

FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters cites this paper.

FedMosaic: Federated Retrieval-Augmented Generation via Parametric Adapters Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T04:20:54.735772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec293635-c0fe-4134-9ca2-dcc1925a2aaa · 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 Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:09:53.307967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.