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Paper Citation Record · LEDGER

SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2504.12722.

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

pith.paper-citation-record.v1
2504.12722 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:44:48.477482Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T14:05:46.445823Z

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 16aa5456-0da4-4f9f-8de7-48d5cc790b59 · inbound

GGBond: Growing Graph-Based AI-Agent Society for Socially-Aware Recommender Simulation cites this paper.

GGBond: Growing Graph-Based AI-Agent Society for Socially-Aware Recommender Simulation SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T13:44:48.477482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:44:48.477482Z digest=sha256:f2ecd68b83c121a32eb3d896587e68c201d70816d3cd41582a9c15ba918ac0d2

Observation de9bffd6-e94f-41e5-9f37-225aef9587a8 · inbound

CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation cites this paper.

CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T22:22:39.583050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:22:39.583050Z digest=sha256:53d9d177b0b75330ea2e209aba0fa73a9c802fb11800aebd4cc9f2c433fc4fa1

Observation d1dcabc9-5295-41b1-a246-dfae46585eae · inbound

Exploration on Demand: From Algorithmic Control to User Empowerment cites this paper.

Exploration on Demand: From Algorithmic Control to User Empowerment SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-06T12:23:49.834842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:23:49.834842Z digest=sha256:11cae35f984069729ccd7ea54f8a14149077a97110a9980021b5da6c6bdbdfd7

Observation 2ef140cf-f01d-463e-a8ff-8c14e27e3c0f · inbound

A Survey on Generative Recommendation: Data, Model, and Tasks cites this paper.

A Survey on Generative Recommendation: Data, Model, and Tasks SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-18T03:50:52.185463Z

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.

source=pdf_text observed=2026-05-18T03:47:08.208082Z digest=sha256:570f55090ca87ae6363e2c428d5639ede10857accaddeb1c1e912b4b85093a2b

Observation e6abfce5-7142-4748-bdb0-e121432fafc3 · inbound

How Well Do Large Language Models Capture Human Personality? cites this paper.

How Well Do Large Language Models Capture Human Personality? SimUSER: Simulating User Behavior with Large Language Models for Recommender System Evaluation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:05:46.448183Z

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.

source=pdf_text observed=2026-06-30T22:20:10.160763Z digest=sha256:22cd308436e4e5baa44e84bf63e1f17cf5c504068354cf574cf8151f71570bde