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agent/papers/items/2026-2603-05553-eigendata-a-self-evolving-multi-agent-platform-for-function-calling-data-synthes.md
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# Paper: EigenData: A Self-Evolving Multi-Agent Platform for Function-Calling Data Synthesis, Auditing, and Repair
---
type: paper
title: "EigenData: A Self-Evolving Multi-Agent Platform for Function-Calling Data Synthesis, Auditing, and Repair"
authors: Jiaao Chen, Jingyuan Qi, Mingye Gao, Wei-Chen Wang, Hanrui Wang, Di Jin
year: 2026
venue: arXiv
url: https://arxiv.org/abs/2603.05553
code_url:
source: arxiv
collected_at: 2026-07-08
published_at: 2026-03-05
updated_at: 2026-03-05
status: queued
relevance: high
topics:
- agent-evaluation
- coding-agent
- multi-agent
- tool-use
methods:
-
benchmarks:
-
models:
-
datasets:
- cs.SE
- cs.AI
- cs.CL
related_concepts:
-
related_jobs:
-
related_experiments:
-
related_projects:
-
collection_score: 16
collection_queries: function-calling
---
## One-line Takeaway
Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.
## Why Collected
- matched queries: function-calling
- inferred topics: agent-evaluation, coding-agent, multi-agent, tool-use
- arXiv categories: cs.SE, cs.AI, cs.CL
- collection score: 16
## Review Checklist
- Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
- Does it include a benchmark, dataset, code, or reproducible experimental setup?
- Should it be promoted from `queued` to `skimmed` or `summarized`?
## Links
- arXiv: https://arxiv.org/abs/2603.05553