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pith:2026:V6Q5QS2RHNDMUQLLJHIQO4IIF2
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APWA: A Distributed Architecture for Parallelizable Agentic Workflows

Alina Oprea, Cristina Nita-Rotaru, Evan Rose, Matthew D. Laws, Tushin Mallick

APWA breaks complex agentic tasks into independent subproblems that run in parallel without communication.

arxiv:2605.15132 v1 · 2026-05-14 · cs.AI · cs.DC · cs.MA

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Claims

C1strongest claim

In our evaluation, we demonstrate that APWA can dynamically decompose complex queries into parallelizable workflows and scales on larger tasks in settings where prior systems fail completely.

C2weakest assumption

That complex agentic workflows can be reliably decomposed into non-interfering subproblems that require no cross-communication and can be executed independently on heterogeneous resources.

C3one line summary

APWA is a distributed multi-agent architecture that decomposes parallelizable agentic workflows into non-interfering subproblems for scalable execution on heterogeneous resources.

References

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[1] PII masking 300k dataset 2024
[2] Hadoop.https://hadoop.apache.org/
[3] Schema-driven information extraction from heterogeneous tables 2024
[4] Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes 2023
[5] Language models are few-shot learners 1901
Receipt and verification
First computed 2026-05-17T21:40:25.620752Z
Last reissued 2026-05-17T21:57:18.940110Z
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Signature unsigned_v0
Schema pith-number/v1.0

Canonical hash

afa1d84b513b46ca416b49d10771082eadc19a0e0da8e279c418dcb745b885a8

Aliases

arxiv: 2605.15132 · arxiv_version: 2605.15132v1 · pith_short_12: V6Q5QS2RHNDM · pith_short_16: V6Q5QS2RHNDMUQLL · pith_short_8: V6Q5QS2R
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Canonical record JSON
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