miniTE: Diagnosing and Bridging the Execution Gap in Native NVFP4 Reinforcement Learning
arXiv 2610.23928v1•f4559d282695eb6907528c25ab5811c1f996ae95ca5eb2c15b3dea9a00e191b2
Paper metadata
- arXiv ID
- 2610.23928
- Version
- v1
- Category
- cs.AI, cs.LG, stat.ML
- Authors
- Zhen Li, Mingfa Feng, Yiming Zhang, Yang Yu, Changhai Zhou, Pengxiang Li, Dongkuan Wu, Congkai Xie, Hongxia Yang
- Publication date
- 2026-10-20T04:00:00Z
- Source identifier
- 2610.23928v1
- Public record ID
- record:sha256:f4559d282695eb6907528c25ab5811c1f996ae95ca5eb2c15b3dea9a00e191b2
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Evidence and limitations
- Source ID
- arxiv_research
- Record identifier
- f4559d282695eb6907528c25ab5811c1f996ae95ca5eb2c15b3dea9a00e191b2
- Record type
- Source metadata
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