Research proposal: Account-Scoped Reasoning Layer for Context Fidelity

Hi DeepSeek team,

I've developed a research instrument for account-scoped reasoning operator extraction. It addresses a fundamental weakness in LLMs: locally good answers from globally wrong active state.

The document includes:

• 20 failure taxonomy (F01-F20)
• Dataset & annotation design
• Verifier & anti-echo architecture
• Evaluation harness with metrics
• Implementation roadmap

DeepSeek's MoE architecture, R1 reasoning transparency, and open-source model give you a unique advantage here.

The document is currently not public. How can I share it with your technical team?

Thank you for your work.

— Alex Wasco