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SkillChain-Gym: A Benchmark for Reskilling-Aware Production-Inventory Control under Disruptions

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arXiv:2606. 17266v1 Announce Type: new Abstract: Production planning increasingly has to treat workforce capability as a decision variable: certifications lapse when skills are not maintained, new products require skills the current workforce does not hold, and reskilling competes for the same worker hours needed for production.

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Authors: Carlos Eduardo Sanoja
Released: 2026-06-18 (21d ago)
Topic: Related to current project
Relation to my work: Read next because SkillChain-Gym: A Benchmark for Reskilling-Aware Production-Inventory Control under Disruptions overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: code, strong, fill, class, under, eval, line, rate. Source: arxiv cs.AI (Artificial Intelligence).
arXiv: 2606.17266

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