agent/papers/items/2025-2512-02605-iact-a-self-organizing-recursive-model-for-general-ai-agents-a-technical-white-p.md

Paper: IACT: A Self-Organizing Recursive Model for General AI Agents: A Technical White Paper on the Architecture Behind kragent.ai

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type: paper title: "IACT: A Self-Organizing Recursive Model for General AI Agents: A Technical White Paper on the Architecture Behind kragent.ai" authors: Pengju Lu year: 2025 venue: arXiv url: https://arxiv.org/abs/2512.02605 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2025-12-02 updated_at: 2025-12-02 status: queued relevance: high topics:

• agent-evaluation
• computer-use
• memory
• rag
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• cs.AI
• cs.MA
• cs.SE related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 15 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, computer-use, memory, rag, tool-use, workflow-agent
• arXiv categories: cs.AI, cs.MA, cs.SE
• collection score: 15

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/2512.02605