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Positional task conditioning for scalable defect detection across product families in large product catalogs

arxiv.org/abs/2609.09567

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Updated 8 h ago · first seen 11 Sept 2026

paper_01M294FSM4CWHCFPW28QNHHNYJ

Published
11 Sept 2026
T1 · 8 h ago
arXiv
2609.09567
T1 · 8 h ago
Category
cs.LG
T1 · 8 h ago

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9 claims · 9 properties

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https://arxiv.org/abs/2609.09567currentcurrentarXiv (Atom API + RSS)T1highdeterministic

Abstractabstract1

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Product families in large product catalogs suffer from inconsistencies such as duplicates and unit mismatches that degrade customer experience. Detecting these requires reasoning over multiple error types across lengthy product listings, where LLM classification quality degrades due to long-context limitations. We address this by decomposing detection into focused sub-tasks that reduce context and isolate error types, improving F1 from 52% to 87%. For scalable deployment, we introduce Positional Task Conditioning (PTC), which distills this capability into a single smaller model by reinforcing task identity at structural prompt boundaries. PTC outperforms rationale-based distillation across five models and two architecture families, achieving within 1.79% F1 of the frontier at upto 98% lower cost. Our system is deployed across multiple countries processing 10+ million product families.currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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replacecurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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2609.09567currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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Soham Satyadharma, Gabriel Roccabruna, Suleiman A. KhancurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.LGcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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https://arxiv.org/pdf/2609.09567currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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cs.LGcurrentcurrentarXiv (Atom API + RSS)T1highdeterministic

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11 Sept 2026currentcurrentarXiv (Atom API + RSS)T1highdeterministic

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