Paper Citation Record · LEDGER

When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.15267.

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

pith.paper-citation-record.v1
2410.15267 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:58:51.297979Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T23:21:42.749198Z

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 03d47b21-c76b-49d6-921c-39089b70d8d9 · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T04:58:51.297979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daf20d88-fa05-4d3b-a8a3-06ff188b4a43 · inbound

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs cites this paper.

Bias Amplification in RAG: Poisoning Knowledge Retrieval to Steer LLMs When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:15:35.857559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a57f91a6-aca5-445e-918b-d640465cbd52 · inbound

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction cites this paper.

A Survey on Generative Model Unlearning: Fundamentals, Taxonomy, Evaluation, and Future Direction When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?

Reference 229

Resolution: unresolved; no resolver link, observed 2026-08-06T13:54:40.397808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1bff5fe6-23a5-4098-9444-52231e88c75c · inbound

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems cites this paper.

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems When Machine Unlearning Meets Retrieval-Augmented Generation (RAG): Keep Secret or Forget Knowledge?

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-07-17T02:21:27.470066Z

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.