Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 inbound Pith citation observations for arXiv:2402.11443.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:40:24.777981Z
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
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation 33ed73b7-1e5c-4092-b25c-9eb290242497 · inbound
The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 30
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.
Observation 74c15749-b6a0-4e28-b9a6-2cb4d3f95d08 · inbound
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 39
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.
Observation 31a6edaf-1644-45c9-8edd-118da0149679 · inbound
Multi-Agent Collaboration Mechanisms: A Survey of LLMs Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 129
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.
Observation 40a336ab-ae3f-4f9c-b23c-d1c5d9d6005d · inbound
Large Language Model Agent: A Survey on Methodology, Applications and Challenges Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 132
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.
Observation 2590573f-3035-4269-b202-ff079e461bb5 · inbound
AutoJudger: An Agent-Driven Framework for Efficient Benchmarking of MLLMs Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 86
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27763c9e-edc1-48d5-abe3-84d74710dfc5 · inbound
Tracing LLM Reasoning Processes with Strategic Games: A Framework for Planning, Revision, and Resource-Constrained Decision Making Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8efb481-ee2b-4016-ad62-e2f495fb91d5 · inbound
CRITICTOOL: Evaluating Self-Critique Capabilities of Large Language Models in Tool-Calling Error Scenarios Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 40
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dba8bc9-ccf8-4659-99c3-584e10b0cd81 · inbound
Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 208
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 66e57e5f-cdb9-4967-b15c-286dece8a6b0 · inbound
Configurable multi-agent framework for scalable and realistic testing of llm-based agents Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9298ab66-356b-49f7-9ae2-0973d5c6213f · inbound
A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 142
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.
Observation ef268480-dc49-480e-82c8-af662745a063 · inbound
BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 90
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e832b30-0aeb-4c57-bd0b-e3ec2431d0f6 · inbound
Memory in the Age of AI Agents Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 284
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.
Observation 23b5d3c3-a6ff-4d7a-8c0b-de4f11de2814 · inbound
Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 12
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.
Observation cae55505-ab63-40b6-a7c5-05d54f56cab9 · inbound
Does Capability Transfer to Subjective Behavior -- and Would Our Instruments Tell Us? A Self-Evolving, Trust-by-Construction Evaluation Paradigm Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 121
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.