Pith Number

pith:P5APWQ5H

pith:2024:P5APWQ5HAK3XBQZI33GIIVLQMR

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The Landscape of Emerging AI Agent Architectures for Reasoning, Planning, and Tool Calling: A Survey

Alex Chao, Mason Sawtell, Sandi Besen, Tula Masterman

AI agent architectures achieve complex goals through specific choices in leadership, communication styles, and planning-execution-reflection phases.

arxiv:2404.11584 v1 · 2024-04-17 · cs.AI · cs.CL

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Our contribution outlines key themes when selecting an agentic architecture, the impact of leadership on agent systems, agent communication styles, and key phases for planning, execution, and reflection that enable robust AI agent systems.

C2weakest assumption

That the selected AI agent implementations are representative of the broader landscape and that the authors' observations of their capabilities and limitations are comprehensive and unbiased.

C3one line summary

A survey of emerging AI agent architectures that organizes single and multi-agent designs around reasoning, planning, tool use, communication, and reflection phases.

References

38 extracted · 38 resolved · 13 Pith anchors

[1] AutoGPT+P: Affordance-based Task Planning with Large Language Models 2024

[2] AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors 2023 · arXiv:2308.10848

[3] Training Verifiers to Solve Math Word Problems 2021 · arXiv:2110.14168

[4] Large Language Model-based Human-Agent Collaboration for Complex Task Solving 2024

[6] Bias and fairness in large language models: A survey

Formal links

1 machine-checked theorem link

Cited by

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Against the Monolithic Wireless World Model: Why NextG Needs Composable and Agentic Intelligence

Receipt and verification

First computed	2026-05-17T23:38:46.267988Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7f40fb43a702b770c328decc8455706471ceaebcdadb63856ed122ac2777285e

Aliases

arxiv: 2404.11584 · arxiv_version: 2404.11584v1 · doi: 10.48550/arxiv.2404.11584 · pith_short_12: P5APWQ5HAK3X · pith_short_16: P5APWQ5HAK3XBQZI · pith_short_8: P5APWQ5H

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/P5APWQ5HAK3XBQZI33GIIVLQMR \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 7f40fb43a702b770c328decc8455706471ceaebcdadb63856ed122ac2777285e

Canonical record JSON

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  "metadata": {
    "abstract_canon_sha256": "b3adce2901d010c1a7cd6011ee70fbbec4e008636e305ebf3550989bc8e6df35",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2024-04-17T17:32:41Z",
    "title_canon_sha256": "19cde5be34bac8f68ced6e1aaea2c1467c2e1d0ae23ef47d7109b13640299d08"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2404.11584",
    "kind": "arxiv",
    "version": 1
  }
}