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Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees explores A neuro-symbolic framework that restructures statement autoformalization into a modular pipeline, improving accuracy and error localization for mathematical statements.. Commercial viability score: 7/10 in LLM Reasoning.
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Canonical ID decompose-structure-and-repair-a-neuro-symbolic-framework-for-autoformalization-via-operator-trees | Route /paper/decompose-structure-and-repair-a-neuro-symbolic-framework-for-autoformalization-via-operator-trees
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/buildability/decompose-structure-and-repair-a-neuro-symbolic-framework-for-autoformalization-via-operator-trees
Subject: Decompose, Structure, and Repair: A Neuro-Symbolic Framework for Autoformalization via Operator Trees
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Dimensions overall score 7.0
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Receipt path
/buildability/decompose-structure-and-repair-a-neuro-symbolic-framework-for-autoformalization-via-operator-trees
Paper ref
decompose-structure-and-repair-a-neuro-symbolic-framework-for-autoformalization-via-operator-trees
arXiv id
2604.19000
Generated at
2026-04-22T02:14:56.763Z
Evidence freshness
stale
Last verification
2026-04-22T02:14:56.763Z
Sources
3
References
140
Coverage
67%
Lineage hash
6e2b979c6fa378d8ac12c318bb35711bb6c046125d7edac62de2c6a35b3b4f1a
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140 refs / 3 sources / Verification pending
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proof_status
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This equation captures one of the core mathematical components of the system. B = {m + n : (m, n) ∈A}. Then the greatest
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This equation captures one of the core mathematical components of the system. Let A = {(m, n) ∈Z2 : 7m + 12n = 22} and
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