Paper Citation Record · LEDGER

LaMP: When Large Language Models Meet Personalization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 27 inbound Pith citation observations for arXiv:2304.11406.

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

pith.paper-citation-record.v1
2304.11406 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 27 of 27 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:10.226260Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

7
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fa5ace8f-e09f-4de4-a0b3-fd27789179a7 · inbound

BR-ASR: Efficient and Scalable Bias Retrieval Framework for Contextual Biasing ASR in Speech LLM cites this paper.

BR-ASR: Efficient and Scalable Bias Retrieval Framework for Contextual Biasing ASR in Speech LLM LaMP: When Large Language Models Meet Personalization

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:10.226260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431d7f5a-84a0-4a64-8de0-75affe2d92e4 · inbound

Aligning LLMs by Predicting Preferences from User Writing Samples cites this paper.

Aligning LLMs by Predicting Preferences from User Writing Samples LaMP: When Large Language Models Meet Personalization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:30:22.645052Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31915844-2a43-4eff-94e0-139db41e76d2 · inbound

Transforming Podcast Preview Generation: From Expert Models to LLM-Based Systems cites this paper.

Transforming Podcast Preview Generation: From Expert Models to LLM-Based Systems LaMP: When Large Language Models Meet Personalization

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:42:09.885257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ac1ac29-9398-4c01-973a-1226d2e3d6b8 · inbound

Localizing Persona Representations in LLMs cites this paper.

Localizing Persona Representations in LLMs LaMP: When Large Language Models Meet Personalization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:25:29.729108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2501e3c-47d0-4f4e-82e9-28dd92f2fcb6 · inbound

AI Agent Behavioral Science cites this paper.

AI Agent Behavioral Science LaMP: When Large Language Models Meet Personalization

Reference 126

Resolution: unresolved; no resolver link, observed 2026-08-07T11:00:53.868132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09d7a6b5-dd3e-4a6e-b01b-03fcaa6f3463 · inbound

Evaluating Style-Personalized Text Generation: Challenges and Directions cites this paper.

Evaluating Style-Personalized Text Generation: Challenges and Directions LaMP: When Large Language Models Meet Personalization

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-05T22:50:43.705685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 352b3192-d413-42b5-9d57-9027aa03e0d1 · inbound

PREF: Reference-Free Evaluation of Personalised Text Generation in LLMs cites this paper.

PREF: Reference-Free Evaluation of Personalised Text Generation in LLMs LaMP: When Large Language Models Meet Personalization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T22:50:43.685096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 212071d0-4274-4d00-85e7-e4a9121a1720 · inbound

"Pragmatic Tools or Empowering Friends?" Discovering and Co-Designing Personality-Aligned AI Writing Companions cites this paper.

"Pragmatic Tools or Empowering Friends?" Discovering and Co-Designing Personality-Aligned AI Writing Companions LaMP: When Large Language Models Meet Personalization

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-04T17:07:37.563209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e847152-6c6a-4295-b628-c6413eca373d · inbound

IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering cites this paper.

IPQA: A Benchmark for Core Intent Identification in Personalized Question Answering LaMP: When Large Language Models Meet Personalization

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T04:12:22.075983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 950e3bed-84fd-446c-91ff-28487b02df36 · inbound

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies cites this paper.

Separable Expert Architecture: Toward Privacy-Preserving LLM Personalization via Composable Adapters and Deletable User Proxies LaMP: When Large Language Models Meet Personalization

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:34:07.417263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0b8b14df-69bc-42dc-ac92-3066482ceae4 · inbound

Alignment has a Fantasia Problem cites this paper.

Alignment has a Fantasia Problem LaMP: When Large Language Models Meet Personalization

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:31:07.379239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b2c58923-99be-4118-853a-1c68a5804823 · inbound

What Makes an AI Writing Companion a Good Fit? A Personality-Informed Co-Design Study cites this paper.

What Makes an AI Writing Companion a Good Fit? A Personality-Informed Co-Design Study LaMP: When Large Language Models Meet Personalization

Reference 70

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:11:09.888924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2a09c66a-3713-47ac-ab82-7b402313ea2e · inbound

Personal Visual Context Learning in Large Multimodal Models cites this paper.

Personal Visual Context Learning in Large Multimodal Models LaMP: When Large Language Models Meet Personalization

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:06:37.512116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 29c1055a-f6a5-4875-9c97-43296eb8391e · inbound

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization cites this paper.

Beyond Isolated Behaviors: Hierarchical User Modeling for LLM Personalization LaMP: When Large Language Models Meet Personalization

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:56:20.563597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a9948aba-f1bd-4c51-9b17-d3631190fece · inbound

Personal Salience: Highlighting Is Social, but Individuality Lives in Selection cites this paper.

Personal Salience: Highlighting Is Social, but Individuality Lives in Selection LaMP: When Large Language Models Meet Personalization

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:37:35.856228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 75f23252-c339-4abc-938b-a74d69af831c · inbound

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework cites this paper.

Substrate Asymmetry in User-Side Memory: A Diagnostic Framework LaMP: When Large Language Models Meet Personalization

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:27:57.019114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 242d5ea2-73ca-4de7-8c7b-455f4a14cd77 · inbound

MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision cites this paper.

MemSlides: A Hierarchical Memory Driven Agent Framework for Personalized Slide Generation with Multi-turn Local Revision LaMP: When Large Language Models Meet Personalization

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-06-27T03:50:28.467361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e11ca943-5e3f-4576-86a6-1540742e9ae8 · inbound

User as Engram: Internalizing Per-User Memory as Local Parametric Edits cites this paper.

User as Engram: Internalizing Per-User Memory as Local Parametric Edits LaMP: When Large Language Models Meet Personalization

Reference 74

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:09:19.504785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ef12711-51cd-4712-a126-2b3cb532eedf · inbound

MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery cites this paper.

MEMPROBE: Probing Long-Term Agent Memory via Hidden User-State Recovery LaMP: When Large Language Models Meet Personalization

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:09:58.574495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82ebc149-e197-41c1-b001-c9ff0b6cbe9c · inbound

Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory cites this paper.

Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory LaMP: When Large Language Models Meet Personalization

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:07:26.367209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b69a974c-da99-4b1c-b190-82ff87f3fc54 · inbound

Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory cites this paper.

Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory LaMP: When Large Language Models Meet Personalization

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:39:16.337208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation adedad8b-a61f-4a96-8228-6a531f2fabd6 · inbound

Retain or Consolidate? Budget-Dependent Operator Selection for Language Agent Memory cites this paper.

Retain or Consolidate? Budget-Dependent Operator Selection for Language Agent Memory LaMP: When Large Language Models Meet Personalization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T17:44:53.837201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bb685b4-1f3f-4f66-ab62-da11505063c7 · inbound

From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation cites this paper.

From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation LaMP: When Large Language Models Meet Personalization

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T12:35:27.247396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03eeeb50-aa3e-4d4b-90ff-31ec237c4709 · 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 LaMP: When Large Language Models Meet Personalization

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T15:11:48.643927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93442740-430f-4645-9805-3b0c6aa2db73 · inbound

TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning cites this paper.

TREK: A Travel Reasoning and Evaluation Kit for LLM Agents in Complex Trip Planning LaMP: When Large Language Models Meet Personalization

Reference 71

Resolution: unresolved; no resolver link, observed 2026-07-30T15:14:05.789209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab9a3bbc-3e7c-41c7-9115-830d908cee90 · inbound

Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs cites this paper.

Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs LaMP: When Large Language Models Meet Personalization

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:25:10.336161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.