PinSieve: Production Selective VLM Serving and a Governed Memory Flywheel for Enterprise Content-Quality Triage

  • 类型:arxiv
  • 标识:2608.24040
  • 链接:http://arxiv.org/abs/2608.24040v1
  • 主分类:multimodal
  • 形态:application
  • 被引:0
  • 被引来源:Semantic Scholar + OpenAlex
  • S2被引:0
  • OpenAlex被引:0
  • 影响力被引:0
  • TLDR:This work presents PinSieve, a production case study in a large-scale content-quality pipeline, a selective vision-language-model Serving Agent that operates only on the grey-zone slice left unresolved by lightweight upstream models, exposes a scalar routing score online, and preserves controlled human escalation.
  • OpenAlex ID:W7204225509
  • OpenAlex DOI:10.48550/arxiv.2608.24040
  • DOI:10.48550/arxiv.2608.24040
  • DOI来源:OpenAlex
  • 开放获取:green
  • 开放获取链接:https://arxiv.org/pdf/2608.24040
  • OpenAlex更新:2026-08-31
  • 副分类:llm-infra
  • 待LLM分类:否
  • 标题中文:PinSieve:生产级选择性 VLM 服务与企业内容质量分诊的可治理记忆飞轮
  • TLDR中文:介绍 PinSieve——大规模内容质量流水线中的生产级案例:一个选择性 vision-language-model Serving Agent,仅处理轻量上游模型无法覆盖的 grey-zone 切片,在线暴露标量路由评分,并保留受控的人工升级通道。
  • 来源文件:
  • /inbox/tom/_candidates/2026-08-26-agent-rag-longcontext-candidates.json
  • /inbox/tom/_candidates/2026-08-27-agent-rag-longcontext-candidates.json
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