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Paper Citation Record · LEDGER

Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.05970.

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

pith.paper-citation-record.v1
2404.05970 v1

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 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:20:54.482148Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T18:43:50.795399Z

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 dd16873c-b9b2-4724-8037-e539be0f000a · inbound

Personalized Graph-Based Retrieval for Large Language Models cites this paper.

Personalized Graph-Based Retrieval for Large Language Models Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:53.148579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:53.148579Z digest=sha256:f647c312ff9b113208d6134a3a752bb468426e85a01b26a1753e18d468bcfbf8

Observation 9a04e0d6-0f6a-4878-9494-710ad87d7363 · inbound

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation cites this paper.

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:43:50.796988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T18:36:50.012434Z digest=sha256:c641b5a7ae7083a310649c40732ff7e9e55a4d97299a319cf31c037c789c4a8e

Observation ad4d1668-2cb2-4e7c-a1ec-d6d195c36087 · inbound

Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning cites this paper.

Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T16:11:47.547498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:11:47.547498Z digest=sha256:5b9069ee8429812b68985bcb19a9aaf9197e2fc473b5819f9b2fa6cf796ccb41

Observation a4211d96-7bf3-4b26-bb04-5c51ad00d0da · inbound

Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning cites this paper.

Learning Preference Adaptation for Large Language Model Personalization via Verbal Reinforcement Learning Optimization Methods for Personalizing Large Language Models through Retrieval Augmentation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-14T04:20:54.482148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:20:54.482148Z digest=sha256:6b0a3422b1a0e5e91299b29dc9d6d8621116842c4427ff8aaa6d234b6ccf7fa8