pith:AQ7MR45H
Bridging the Last Mile of Circuit Design: PostEDA-Bench, a Hierarchical Benchmark for PPA Convergence and DRC Fixing
LLM agents succeed on simple post-EDA tasks but reach only 37% and 20% success on practical DRC reasoning and multi-objective PPA.
arxiv:2605.06936 v2 · 2026-05-07 · cs.AR · cs.AI · cs.MA
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Claims
Across eight commercial and open-source LLMs under multiple agent scaffolds, we find that agents handle synthetic DRC-Essential and single-objective PPA-Mono reasonably well but degrade sharply on the more practical DRC-Reasoning, where the best success rate is 36.66%, and PPA-Multi, where the best success rate is 20.00%; vision augmentation consistently enhances DRC-Bench; and trade-off reasoning, rather than knob knowledge, is the dominant PPA-Multi bottleneck.
The 145 tasks across the four categories in PostEDA-Bench, supported by EDA toolchains with machine-checkable evaluation, are representative of real-world post-EDA challenges and provide a fair test of agent capabilities.
PostEDA-Bench shows LLM agents succeed reasonably on basic DRC and single-objective PPA tasks but struggle on practical DRC reasoning (best 36.66% success) and multi-objective PPA (best 20% success).
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Receipt and verification
| First computed | 2026-05-25T02:01:22.384645Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/AQ7MR45H6YSUTT3267ZV5C3ACA \
| jq -c '.canonical_record' \
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# expect: 043ec8f3a7f62549cf7af7f35e8b60101391fc1f421c02053f15bcc52945bbf1
Canonical record JSON
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