pith:6SPVHHTQ
SciHorizon-DataEVA: An Agentic System for AI-Readiness Evaluation of Heterogeneous Scientific Data
SciHorizon-DataEVA is an agentic system that enables scalable AI-readiness evaluation of heterogeneous scientific data by defining Sci-TQA2 principles and executing them through a hierarchical multi-agent workflow.
arxiv:2604.26645 v2 · 2026-04-29 · cs.AI · cs.LG
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Claims
We propose SciHorizon-DataEVA, a novel agentic system to scalable AI-readiness evaluation of heterogeneous scientific data... Extensive experiments on scientific datasets spanning multiple domains demonstrate the effectiveness and generality of SciHorizon-DataEVA for principled AI-readiness evaluation.
That the Sci-TQA2 principles can be decomposed into measurable atomic elements and that the hierarchical multi-agent workflow with dynamic specification construction and self-correction will produce reliable, generalizable assessments across heterogeneous data without domain-specific failures or high error rates.
SciHorizon-DataEVA is a hierarchical multi-agent system that applies Sci-TQA2 principles to assess AI-readiness of heterogeneous scientific data through dynamic evaluation specifications and adaptive tool use.
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| First computed | 2026-05-29T02:05:45.346514Z |
|---|---|
| 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/6SPVHHTQFFH3VT4O4UQE5EXE2R \
| jq -c '.canonical_record' \
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# expect: f49f539e70294fbacf8ee5204e92e4d45b643614da0e238c077890b8b1f33d20
Canonical record JSON
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