Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Simulating Filter Bubble on Short-video Recommender System with Large Language Model Agents
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2504.08742.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:43:22.070227Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:19:02.964743Z
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 68dc2928-c7d0-441f-b184-510624e3e5c8 · inbound
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems cites this paper.
The Future is Agentic: Definitions, Perspectives, and Open Challenges of Multi-Agent Recommender Systems Simulating Filter Bubble on Short-video Recommender System with Large Language Model Agents
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:43:22.070227Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0c4c67c-5de9-4e62-86e8-0f2644674a18 · inbound
Do Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-powered User Simulators cites this paper.
Do Generative Recommenders Deepen the Information Cocoon? A Closed-Loop Simulation with LLM-powered User Simulators Simulating Filter Bubble on Short-video Recommender System with Large Language Model Agents
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T23:19:02.968691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 74a590d6-50af-48c3-bb16-575815a2e5e7 · inbound
Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems cites this paper.
Autonomous Information Seeking: A Roadmap for Agentic Recommender Systems Simulating Filter Bubble on Short-video Recommender System with Large Language Model Agents
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T19:14:13.105401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.