Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2402.11443.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:55:33.713403Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 33ed73b7-1e5c-4092-b25c-9eb290242497 · inbound
The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey cites this paper.
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
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T23:16:41.801484Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 74c15749-b6a0-4e28-b9a6-2cb4d3f95d08 · inbound
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems cites this paper.
Prompt Infection: LLM-to-LLM Prompt Injection within Multi-Agent Systems Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:32:19.615151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 31a6edaf-1644-45c9-8edd-118da0149679 · inbound
Multi-Agent Collaboration Mechanisms: A Survey of LLMs cites this paper.
Multi-Agent Collaboration Mechanisms: A Survey of LLMs Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 129
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T15:54:54.343887Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 40a336ab-ae3f-4f9c-b23c-d1c5d9d6005d · inbound
Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.
Large Language Model Agent: A Survey on Methodology, Applications and Challenges Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 132
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T21:52:10.039764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
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 cites this paper.
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
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T22:23:14.814860Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation ef268480-dc49-480e-82c8-af662745a063 · inbound
BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web cites this paper.
BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 90
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:55:33.713403Z
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 cites this paper.
Memory in the Age of AI Agents Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 284
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T18:18:20.405886Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 23b5d3c3-a6ff-4d7a-8c0b-de4f11de2814 · inbound
Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis cites this paper.
Automatically Generating Hard Math Problems from Hypothesis-Driven Error Analysis Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM Evaluation
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:40:49.933190Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+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 cites this paper.
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
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T13:03:26.749142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.