Astana time
AI QAZAQSTANKZ · AIBeta

Smart portal about artificial intelligence and high technology in Kazakhstan

ResearchFinTech1 min read

From the original source:

arXiv — cs.AI

Read full article at arXiv — cs.AI

Anduin: A sybil-resistant agentic marketplace reputation system

arXiv:2611.05586v1 Announce Type: new Abstract: As autonomous AI agents enter permissionless onchain markets, selecting new service providers remains a core challenge. Existing reputation systems depend on scarce resources like human curation, identity credentials, or voluntary…

arXiv — cs.AIBy: Reza Ramji, Preston Vander Vos, Ziming Zeng, Duc V. LeNovember 5, 2026 (2 hours ago)
Available in 1 languages

AI Summary & Key Takeaways

  • arXiv:2611.05586v1 Announce Type: new Abstract: As autonomous AI agents enter permissionless onchain markets, selecting new service providers remains a core challenge
  • Existing reputation systems depend on scarce resources like human curation, identity credentials, or voluntary…
Research
KZ·AI 88B2
Инсайт дня

Anduin: A sybil-resistant agentic marketplace reputation system

Tags:#arXiv
Share:

Related stories

Anthropic has launched a website for its upcoming IPO

✔️ Anthropic has launched a website for the upcoming IPO. The company has opened a laconic portal ipo.anthropic.com. So far, the main page displays only minimalistic animation and an inscription about the imminent appearance of details. Anthropic plans to raise private capital through brokerage partners...

Telegram — AI Machine Learning Big Data

Claude even bans paid accounts. How not to lose everything?

Claude even bans paid accounts. How not to lose everything? ⠀ Imagine: you pay $200 for Claude Max, manage projects, store correspondence, and one day you see Account Suspended. Access was lost, but the work remained inside. ⠀ In October, complaints about blocking became more frequent, including after...

Telegram — Paragon | Нейросети и ИИ

Who May Overrule the Agent? Evidence-Gated Authority in LLM Review Institutions

arXiv:2611.05390v1 Announce Type: new Abstract: Multi-agent language-model systems often add a reviewer to improve an upstream agent's decision. Yet a reviewer can both repair errors and replace decisions that were already correct. We study this as a problem of institutional…

arXiv — cs.AI

Back to list