Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2411.07464.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:25:40.152070Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T23:29:02.945019Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 1b0bcea5-a5e4-4a8e-8e42-1452daf4e54c · inbound
Cost and Accuracy of Long-Term Memory in Distributed Multi-Agent Systems Based on Large Language Models BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks
Reference 46
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 752ac824-c44a-4220-9426-169036fc5778 · inbound
Toward Efficient Agents: Memory, Tool learning, and Planning BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b01e7281-07b8-499a-b7c3-86e71d275e93 · inbound
Trustworthy Self-Composable Big-Data-as-a-Service: An LLM-Orchestrated Multi-Agent Framework for Automated Data Engineering, AutoML, MLOps Deployment, and Drift-Aware Lifecycle Optimization BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks
Reference 14
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7cfebd6f-9cfb-4664-b257-799da2a48039 · inbound
Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks
Reference 187
Source-reported events for the cited work
Unavailable: canonical work link unavailable.