Paper Citation Record · LEDGER

Personalized Large Language Models

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2402.09269.

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

pith.paper-citation-record.v1
2402.09269 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:54:06.067641Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T21:48:28.720202Z

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 b1feb503-3098-47b6-92ab-02f52f0dc2d9 · inbound

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond cites this paper.

Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond Personalized Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-23T21:48:28.723499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 40f3f66f-d0a2-459a-a65b-1456b42979f0 · inbound

On the Way to LLM Personalization: Learning to Remember User Conversations cites this paper.

On the Way to LLM Personalization: Learning to Remember User Conversations Personalized Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T16:32:05.028785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70b9f28f-a92c-4c73-9dc4-84dba104b9f6 · inbound

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models cites this paper.

Multi-Dimensional Insights: Benchmarking Real-World Personalization in Large Multimodal Models Personalized Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T13:58:43.727204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0d7f586-5cfc-4a5e-832c-cc74f0dff481 · inbound

AI PERSONA: Towards Life-long Personalization of LLMs cites this paper.

AI PERSONA: Towards Life-long Personalization of LLMs Personalized Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T13:31:41.415057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 380ad980-6f43-4322-b42b-c736f78ed642 · inbound

From General to Specific: Tailoring Large Language Models for Personalized Healthcare cites this paper.

From General to Specific: Tailoring Large Language Models for Personalized Healthcare Personalized Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T10:59:54.617035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ed03801-820c-4c34-9a6b-cce4f54c45ae · inbound

APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs cites this paper.

APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs Personalized Large Language Models

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-11T05:42:11.988698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ec9883b-f703-4de7-8738-d1dab63c1356 · inbound

LoRe: Personalizing LLMs via Low-Rank Reward Modeling cites this paper.

LoRe: Personalizing LLMs via Low-Rank Reward Modeling Personalized Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:54:06.067641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 137bcbdd-8b44-4546-977c-0179d44360e8 · inbound

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms cites this paper.

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms Personalized Large Language Models

Reference 261

Resolution: unresolved; no resolver link, observed 2026-08-16T11:07:59.454073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c4a40d6-f03f-47d3-974e-e56430156b2f · inbound

CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents cites this paper.

CAIM: Development and Evaluation of a Cognitive AI Memory Framework for Long-Term Interaction with Intelligent Agents Personalized Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T20:25:18.983182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5354f90-fad6-4bb2-96cf-a66ca53ebf2d · inbound

Personalized Constitutionally-Aligned Agentic Superego: Secure AI Behavior Aligned to Diverse Human Values cites this paper.

Personalized Constitutionally-Aligned Agentic Superego: Secure AI Behavior Aligned to Diverse Human Values Personalized Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:07.128902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b53cce4-89a9-49d3-a763-b2f914e85914 · inbound

Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team cites this paper.

Dynamic Knowledge Exchange and Dual-diversity Review: Concisely Unleashing the Potential of a Multi-Agent Research Team Personalized Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T18:55:49.362013Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdf9a6ed-3839-4b96-a1f2-0a02d5f8375f · inbound

Personalised Explanations in Long-term Human-Robot Interactions cites this paper.

Personalised Explanations in Long-term Human-Robot Interactions Personalized Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:07.947935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6cdeea7-8fc7-434e-9840-7dd39981c8bf · inbound

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification cites this paper.

Backtranslation and paraphrasing in the LLM era? Comparing data augmentation methods for emotion classification Personalized Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T15:55:22.753633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 897a6ff5-208a-4865-b892-b2371a0380b4 · inbound

CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation cites this paper.

CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation Personalized Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-16T15:28:02.411582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 097a073b-1bd5-4ad9-aabb-3d421e409752 · inbound

Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs cites this paper.

Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs Personalized Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T11:31:28.669954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.