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pith:46RKXVCN

pith:2026:46RKXVCNPMTP347F4R6DQV3YMJ

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When Does Hierarchy Help? Benchmarking Agent Coordination in Event-Driven Industrial Scheduling

Hailiang Zhao, Wenzhuo Qian, Yuhao Yang, Zhiwei Ling, Ziqi Wang

Different coordination paradigms for agents in event-driven scheduling each carry distinct trade-offs in robustness, efficiency, alignment, and communication load.

arxiv:2605.13172 v1 · 2026-05-13 · cs.MA · cs.AI

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Claims

C1strongest claim

Our controlled evaluations reveal clear coordination trade-offs: centralized coordination is robust and communication-efficient but scales poorly with difficulty; hierarchical coordination improves efficiency through decomposition but suffers from cross-level misalignment; heterarchical coordination is flexible but communication-heavy; and holonic coordination satisfies constraints well but loses global robustness.

C2weakest assumption

That the four chosen coordination paradigms and the defined tasks/metrics in DESBench sufficiently capture the essential mechanisms of information flow, decision authority, and conflict resolution in real event-driven industrial systems with partial observability.

C3one line summary

DESBench reveals structural trade-offs among centralized, hierarchical, heterarchical, and holonic coordination in dynamic industrial scheduling that outcome metrics alone miss.

References

41 extracted · 41 resolved · 0 Pith anchors

[1] Agentic services computing 2025

[2] A survey on llm-based multi-agent systems: workflow, infrastructure, and challenges.Vicinagearth, 1(1):9 2024

[3] Overcoming the sim-to-real gap: Leveraging simulation to learn to explore for real-world rl 2024

[4] Modeling complex system dynamics with flow matching across time and conditions 2025

[5] Multiagentbench: Evaluating the collaboration and competition of llm agents 2025

Formal links

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Receipt and verification

First computed	2026-05-18T03:08:56.523987Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

e7a2abd44d7b26fdf3e5e47c38577862771d402e7bc43713847ab524ca8e7dfd

Aliases

arxiv: 2605.13172 · arxiv_version: 2605.13172v1 · doi: 10.48550/arxiv.2605.13172 · pith_short_12: 46RKXVCNPMTP · pith_short_16: 46RKXVCNPMTP347F · pith_short_8: 46RKXVCN

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/46RKXVCNPMTP347F4R6DQV3YMJ \
  | 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: e7a2abd44d7b26fdf3e5e47c38577862771d402e7bc43713847ab524ca8e7dfd

Canonical record JSON

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    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.MA",
    "submitted_at": "2026-05-13T08:33:28Z",
    "title_canon_sha256": "0a231779bb6280abeca5d969452f38bf3497f04a41631cd8fd954700dce48ddc"
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