Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2505.13528.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T18:41:06.636352Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-28T18:42:29.091525Z
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 812b2950-7139-469d-b671-19884886410c · inbound
Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems cites this paper.
Prompt-Unknown Promotion Attacks against LLM-based Sequential Recommender Systems LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T21:31:14.233999Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 65418f8b-9626-458a-84b6-0e1c7d8fc699 · inbound
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges LLM-Based User Simulation for Low-Knowledge Shilling Attacks on Recommender Systems
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T18:42:29.093000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.