Researchers Seek arXiv cs.AI Endorser

The real story here is friction: arXiv endorsement can be the difference between a draft sitting in limbo and a paper getting seen.

• –arXiv still uses category-based endorsement for first-time submissions, so social proof matters alongside the work itself.
• –The topic list is coherent around LLM systems, agents, and speech/voice AI, which could make a single endorsement especially valuable.
• –The numeric claims are attention-grabbing, but they’ll need careful validation and reproducible methods if the drafts are shared.
• –This is a reminder that indie and early-career AI research often depends on distribution access, not just technical quality.