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Paper Citation Record · LEDGER

User-LLM: Efficient LLM Contextualization with User Embeddings

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2402.13598.

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

pith.paper-citation-record.v1
2402.13598 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:04:12.226516Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T22:16:36.509652Z

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 a6951630-52e7-4216-9bf8-9d2766ee1527 · inbound

Challenges in Guardrailing Large Language Models for Science cites this paper.

Challenges in Guardrailing Large Language Models for Science User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-12T21:54:44.306981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:54:44.306981Z digest=sha256:3e9f20d3f071af237593cc62f2e5aaee08d544e29a346a6c898ea15e6f7b7f62

Observation f5814c44-017d-408b-9b6c-b78de834dcb7 · inbound

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information cites this paper.

PRECISE: Pre-training Sequential Recommenders with Collaborative and Semantic Information User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T19:52:59.758710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:52:59.758710Z digest=sha256:d210a561e6e5715b8e4d4ca5fb36f9e4021120b233cb6986b4834f501fd05682

Observation f67d287e-44b9-4d66-bf44-6af97d133ad9 · inbound

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation cites this paper.

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-11T05:00:35.332531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:00:35.332531Z digest=sha256:efdcf6d4b0f75ff033d59d43d916097d52f317a46041e81cbf53e423d07daba8

Observation 2271bbbb-c37e-4325-bd0b-57fdae41a9c6 · inbound

Intelligent Interaction Strategies for Context-Aware Cognitive Augmentation cites this paper.

Intelligent Interaction Strategies for Context-Aware Cognitive Augmentation User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T12:04:12.226516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:04:12.226516Z digest=sha256:ecd8d751440a701cee281dbb9bf926230c090a5e95dc6a2f08e4862ee16227f6

Observation 5411a0a7-ac88-44dc-9bce-260880ed92d6 · 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 User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-16T11:07:58.490030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:07:58.490030Z digest=sha256:8d08335ceb9a074665d1f2a5ec8a0bbe31f0f3cfdf9c009f1ecc809aece2e567

Observation d7f9c8ef-c0de-4132-a898-da72eedb27e3 · 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 User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-15T20:25:18.896345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:25:18.896345Z digest=sha256:d347e367da488a33a89d42aa5bf09877be0b1239093aef9b3c6f59e358ff971a

Observation 099005e2-2fab-4a20-8684-eae094dd79f1 · inbound

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models cites this paper.

Embedding-to-Prefix: Parameter-Efficient Personalization for Pre-Trained Large Language Models User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-15T21:02:03.181524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:02:03.181524Z digest=sha256:3661330f315d7e7f35c1f59474291429533080b2f36557cb5830f6263f211c70

Observation 832ce67a-7057-4741-91d5-c37ed5563240 · inbound

Extended Inductive Reasoning for Personalized Preference Inference from Behavioral Signals cites this paper.

Extended Inductive Reasoning for Personalized Preference Inference from Behavioral Signals User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:51.958159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:39:51.958159Z digest=sha256:0bf27b2df0e1e2fe2effda4a744ca72d33dcb914a9f12a16d8d936cce08a5a7e

Observation 7cdb7862-1e4e-40e0-95f6-3c004d27de2f · inbound

Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization cites this paper.

Interpretable Mnemonic Generation for Kanji Learning via Expectation-Maximization User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T19:37:08.021931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:37:08.021931Z digest=sha256:9c331dfb64e2b1f7fa716a3fdb5161b7cc6560c3833775860c12c5d284768354

Observation 896cf97a-cc07-4db8-905d-74910f18e7d1 · inbound

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs cites this paper.

The Personalization Trap: How User Memory Alters Emotional Reasoning in LLMs User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-04T10:26:11.374673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:26:11.374673Z digest=sha256:16530446003c654ecee6b5967cbc25a89100f060801d16a2e4d4d8d2dcd9d2e4

Observation 71104885-0a07-4fbd-afe3-d2cc6d3bb2b7 · inbound

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

LATTE: Forecasting Peer Anchored Preference Trajectories for Personalized LLM Generation User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-06-29T18:43:50.811474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-29T18:36:50.012434Z digest=sha256:cd3de119972d4da00d6e44a94991dee2f6e0be0894be9ea8cdcb76d123b9bd35

Observation d1d6e22f-f4f3-40b8-a7fe-3df533e3e4a7 · inbound

Large Behavior Model: A Promptable Digital Twin of the Retail Customer cites this paper.

Large Behavior Model: A Promptable Digital Twin of the Retail Customer User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-09T22:16:36.513279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-07-09T22:13:38.928850Z digest=sha256:e93238e4c044a1d55eff0a05f6acf1a170a6c6b99e6e18175802a846176e3d06

Observation fb470c60-575c-4859-8ba0-260633474b5e · inbound

Large Behavior Model: A Promptable Digital Twin of the Retail Customer cites this paper.

Large Behavior Model: A Promptable Digital Twin of the Retail Customer User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 32

Resolution
unresolved
no resolver link, observed 2026-07-13T06:47:40.850966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T06:47:40.850966Z digest=sha256:f066f8c561f7ce2a64a0188c5c3a3a59bd12f6e17ee0008cf437dda70d136515

Observation 7696205d-5468-472e-975b-e5e69ddc94f2 · inbound

Enhancing LLMs through human feedback: a journey towards self-improvement cites this paper.

Enhancing LLMs through human feedback: a journey towards self-improvement User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-14T02:23:46.480403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T02:23:46.480403Z digest=sha256:e44545d9fdd221b6ac0d451469697cfd87feee9486b2f74ddfac7ab5d466c8f0

Observation 3c4e17f3-5518-4594-bb8a-b85d8349da90 · inbound

Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces cites this paper.

Inverse Theory of Mind Modeling for Content Recommendation: From Web Browsing to Dynamic Intelligent Interfaces User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T14:17:40.337708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:17:40.337708Z digest=sha256:f278913a2181af58d234ff47aed1f9a73cbb37cbfa37c6dc2e1d2c497f0193bd

Observation 630fe654-748a-4a1c-927a-9d0572b43238 · inbound

Before You Say It: Anticipating Verbal Behavior from Longitudinal Everyday Conversations with LLMs cites this paper.

Before You Say It: Anticipating Verbal Behavior from Longitudinal Everyday Conversations with LLMs User-LLM: Efficient LLM Contextualization with User Embeddings

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-14T10:42:20.397498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:42:20.397498Z digest=sha256:be644db72951d10f22ad9d8a925bc5b9f093d072e4b7769fd4c0859e87f88008