pith:ZUALWONY
Toward Autonomous Long-Horizon Engineering for ML Research
AiScientist achieves higher performance on long-horizon ML research benchmarks by using hierarchical orchestration and a File-as-Bus workspace.
arxiv:2604.13018 v2 · 2026-04-14 · cs.CL
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\pithnumber{ZUALWONYSBKNVUQLQCL72YDU2B}
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Record completeness
Claims
AiScientist improves PaperBench score by 10.54 points on average over the best matched baseline and achieves 81.82 Any Medal% on MLE-Bench Lite. Ablation studies further show that File-as-Bus protocol is a key driver of performance, reducing PaperBench by 6.41 points and MLE-Bench Lite by 31.82 points when removed.
That the chosen benchmarks (PaperBench and MLE-Bench Lite) accurately capture real long-horizon ML research engineering capability and that the reported gains are attributable to the hierarchical orchestration plus File-as-Bus design rather than implementation details or baseline mismatches.
AiScientist improves ML research benchmarks by 10.54 points on PaperBench and reaches 81.82% Any Medal on MLE-Bench Lite through hierarchical control plus durable file-based state instead of conversational handoffs.
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Receipt and verification
| First computed | 2026-05-27T01:05:54.535357Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cd00bb39b89054dad20b8097fd6074d0615f2fa78728c783273ad7ec23d8df99
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZUALWONYSBKNVUQLQCL72YDU2B \
| 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: cd00bb39b89054dad20b8097fd6074d0615f2fa78728c783273ad7ec23d8df99
Canonical record JSON
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