Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.01285.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:22:40.639978Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 4a96f7dc-2bca-4ffb-b5f3-be76385e739b · inbound
CitySim: Modeling Urban Behaviors and City Dynamics with Large-Scale LLM-Driven Agent Simulation Large Language Models as Recommender Systems: A Study of Popularity Bias
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 59d2ef85-5f05-4926-8cca-6a0520f1739c · inbound
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems Large Language Models as Recommender Systems: A Study of Popularity Bias
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4277ed6-324f-4114-8d72-de7168ecf806 · inbound
GraphRAG-IRL: Personalized Recommendation with Graph-Grounded Inverse Reinforcement Learning and LLM Re-ranking Large Language Models as Recommender Systems: A Study of Popularity Bias
Reference 15
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 390d1379-ebff-406b-8e22-e18d0cf3c069 · inbound
Prominence-Stratified Failure Modes in Retrieval-Augmented Commercial Recommendation: A 37,000-Run Audit Large Language Models as Recommender Systems: A Study of Popularity Bias
Reference 15
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 e510a0fd-0939-42aa-ba8d-82219e00c16e · inbound
Persona Conditioning of Brand Recommendations in Retrieval-Augmented Commercial Chat: A Prominence-Stratified Cross-Provider Audit Large Language Models as Recommender Systems: A Study of Popularity Bias
Reference 17
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 cc8fef50-c766-468b-9674-865c91f74ffe · inbound
Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Large Language Models as Recommender Systems: A Study of Popularity Bias
Reference 134
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 c9b95370-1d3f-462c-afea-b46259cb9f50 · inbound
From Prompt to Purchase: How AI Brand Recommendations Move Consumers on the Open Web Large Language Models as Recommender Systems: A Study of Popularity Bias
Reference 23
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 75ad8748-b345-4008-bf5c-5379be46f7e3 · inbound
Incumbent Advantage: Brand Bias and Cognitive Manipulation Dynamics in LLM Recommendation Systems Large Language Models as Recommender Systems: A Study of Popularity Bias
Reference 11
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 6c7d634e-6f00-4472-a3e5-7d41c8bb596f · inbound
Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems Large Language Models as Recommender Systems: A Study of Popularity Bias
Reference 145
Source-reported events for the cited work
Unavailable: canonical work link unavailable.