Paper Citation Record · LEDGER

PersonalLLM: Tailoring LLMs to Individual Preferences

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2409.20296.

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

pith.paper-citation-record.v1
2409.20296 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 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:42:48.799048Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T01:07:30.149086Z

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 94f043c8-85a3-4f6f-9cca-51230c272405 · inbound

PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization cites this paper.

PersonaFeedback: A Large-scale Human-annotated Benchmark For Personalization PersonalLLM: Tailoring LLMs to Individual Preferences

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:42:48.799048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bd907c3-3299-4dcd-a713-cec582f36768 · inbound

MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems cites this paper.

MINTEval: Evaluating Memory under Multi-Target Interference in Long-Horizon Agent Systems PersonalLLM: Tailoring LLMs to Individual Preferences

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-20T10:48:12.958322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f6c80a08-30fa-4e04-bb81-15be535d6f66 · inbound

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions cites this paper.

VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions PersonalLLM: Tailoring LLMs to Individual Preferences

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:13:44.730178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 626e4566-3686-4546-81ea-dc3eea05c4eb · inbound

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling cites this paper.

PAFO: Pareto Fairness Optimization for Personalized Reward Modeling PersonalLLM: Tailoring LLMs to Individual Preferences

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T20:57:23.604736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 36dc073f-84c8-424a-a9dc-6733626a9ef5 · inbound

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs cites this paper.

Personalization Meets Safety:Mechanisms,Risks,and Mitigations in Personalized LLMs PersonalLLM: Tailoring LLMs to Individual Preferences

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:07:30.150634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b90609d1-0622-4a32-9552-d726a7d80540 · inbound

When Does Personality Composition Matter for Multi-Agent LLM Teams? cites this paper.

When Does Personality Composition Matter for Multi-Agent LLM Teams? PersonalLLM: Tailoring LLMs to Individual Preferences

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:15:58.351958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0d9b52e0-2a2a-4a5d-8b9d-d42422b86fee · inbound

When Does Personality Composition Matter for Multi-Agent LLM Teams? cites this paper.

When Does Personality Composition Matter for Multi-Agent LLM Teams? PersonalLLM: Tailoring LLMs to Individual Preferences

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-15T10:30:43.158583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0367603a-9d67-484f-94b7-9a686b352f40 · inbound

Learning Dynamic User Personas from Implicit Interaction Streams via Iterative Refinement cites this paper.

Learning Dynamic User Personas from Implicit Interaction Streams via Iterative Refinement PersonalLLM: Tailoring LLMs to Individual Preferences

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T15:11:48.838938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.