Paper Citation Record · LEDGER

Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.09510.

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

pith.paper-citation-record.v1
2409.09510 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:45:23.271993Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:41:23.676877Z

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 a9d8c971-7431-4749-a546-cd5f90efd848 · inbound

Accelerating Retrieval-Augmented Generation cites this paper.

Accelerating Retrieval-Augmented Generation Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T15:45:23.271993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b15198f-4be9-49b6-b18e-745e741a66de · inbound

ComMer: a Framework for Compressing and Merging User Data for Personalization cites this paper.

ComMer: a Framework for Compressing and Merging User Data for Personalization Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T22:12:16.057237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca8e0118-b893-4c2b-b4c8-5e6808c5cb6f · inbound

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation cites this paper.

Reasoning-Enhanced Self-Training for Long-Form Personalized Text Generation Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:42:44.122072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ca20867-1a60-4331-beb8-f922e5231344 · inbound

ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation cites this paper.

ExPerT: Effective and Explainable Evaluation of Personalized Long-Form Text Generation Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-10T14:51:43.567413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5528a8a-19c7-41bb-9970-bf010d91c0d4 · inbound

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search cites this paper.

NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T15:31:19.652610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4a652a3-d0b7-415b-8ea6-302ed9c82e49 · inbound

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning cites this paper.

Systematic Optimization of Open Source Large Language Models for Mathematical Reasoning Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T22:38:09.682521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc7e9358-ec10-405a-ac78-6841f9b0f8ef · inbound

Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications cites this paper.

Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:41:23.679864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1f3c036a-d329-419d-b1c2-2136fa7f5979 · inbound

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias cites this paper.

Frustratingly Simple Black-Box Adaptation of Language Models via Logit Bias Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T04:28:36.334772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.