Paper Citation Record · LEDGER

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors

As of 10 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 3 inbound Pith citation observations for arXiv:2509.09689.

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

pith.paper-citation-record.v1
2509.09689 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T19:08:31.294849Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:37:05.359943Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T21:15:04.252659Z

Reference resolution

17 of 17 outbound references displayed

verified exact0
verified fuzzy0
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 439901cc-84d0-453c-9d99-70f109fdbf75 · outbound

This paper cites When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:28.316515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5aa97748-fcc9-4a97-9513-0dd195a4307b · outbound

This paper cites Uncovering ChatGPT's Capabilities in Recommender Systems.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Uncovering ChatGPT's Capabilities in Recommender Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:28.474836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ce1990-5278-4b7c-855c-4103977a176e · outbound

This paper cites Maxwell Harper and Joseph A.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Maxwell Harper and Joseph A

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:28.722513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0caa6fc-0793-4084-bd80-de2e6404cced · outbound

This paper cites PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traits

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:28.954754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42bf91f2-6998-429d-9d62-adae884193c2 · outbound

This paper cites Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:29.124758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d802dae-db86-4a90-8c9c-e92eccaf599e · outbound

This paper cites Teach LLMs to Personalize -- An Approach inspired by Writing Education.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Teach LLMs to Personalize -- An Approach inspired by Writing Education

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:29.324760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cae23e5d-39f7-4bf3-b410-9d88d2e6ef37 · outbound

This paper cites Is ChatGPT a Good Recommender? A Preliminary Study.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Is ChatGPT a Good Recommender? A Preliminary Study

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:29.542691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81818661-2fcc-46f8-ac3b-46ce02c12107 · outbound

This paper cites ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:29.745670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b9baf5d-4991-4878-8e83-e96100c5d769 · outbound

This paper cites Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:29.935048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d871c3b-5ffd-4478-873f-5e05d8d41bd1 · outbound

This paper cites Generative agents: Interactive simulacra of human behavior.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Generative agents: Interactive simulacra of human behavior

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:30.054824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47692afb-7a27-4a5b-b04d-600073e6a4d1 · outbound

This paper cites Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Integrating Summarization and Retrieval for Enhanced Personalization via Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:30.205453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4cf7d45-2a26-4276-8aca-8ba7000d29f2 · outbound

This paper cites LaMP: When Large Language Models Meet Personalization.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors LaMP: When Large Language Models Meet Personalization

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:30.354839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24c02746-f322-4207-857f-f2f8f93bfb3f · outbound

This paper cites Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:30.544863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d23ea5ce-3efd-42ec-ae09-e853b8f68634 · outbound

This paper cites Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:30.884858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d2d5b44-f155-4758-a731-0c692cac709b · outbound

This paper cites RecMind: Large Language Model Powered Agent For Recommendation.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors RecMind: Large Language Model Powered Agent For Recommendation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:30.984838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fdb0e13-9f7a-4a78-96d1-631a9bcd5573 · outbound

This paper cites Gen- erate what you prefer: Reshaping sequential recommendation via guided diffusion.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Gen- erate what you prefer: Reshaping sequential recommendation via guided diffusion

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T19:08:31.137242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86acb454-76c7-4852-8dcb-3e63155550d1 · outbound

This paper cites Agentcf: Collaborative learning with autonomous language agents for recommender systems.

Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors Agentcf: Collaborative learning with autonomous language agents for recommender systems

Reference 17

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T19:08:31.734781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

Observation a44a120d-37ec-4b77-a5c7-89d7b52b4953 · inbound

Real-Time Group Dynamics with LLM Facilitation: Evidence from a Charity Allocation Task cites this paper.

Real-Time Group Dynamics with LLM Facilitation: Evidence from a Charity Allocation Task Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-15T01:53:29.063340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ecba4b0d-84af-49b8-9fbd-bc7c967bcbbc · inbound

Real-Time Group Dynamics with LLM Facilitation: Evidence from a Charity Allocation Task cites this paper.

Real-Time Group Dynamics with LLM Facilitation: Evidence from a Charity Allocation Task Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-06-30T21:15:04.254223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0dc60216-39b6-4935-b5e3-6f3669a6f4a2 · inbound

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities cites this paper.

FOCUS: Decoupling Expert Personas in LLMs to Enhance Domain Expert Capabilities Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T05:37:05.359943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.