◇ 今日论文 · GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives

一句话人话版

这是一篇今日 AI 论文的线索卡：讲什么、谁写的、在哪里读全文。

编辑判断

适合当作今日前沿线索追踪；要复现实验请读原文。

基于字段派生 · 置信度：中（功能未逐项实测）

打开官网 / 来源 ↗

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① 这是什么

这是一篇今日 AI 论文的线索卡：讲什么、谁写的、在哪里读全文。（原文：今日论文《GroundingPI: A Grounding Foundation Model towards Physi…）

② 值不值得用

进入 HF 每日精选说明有社区关注度；是否与你的问题相关需要读原文判断，本条目不评价研究质量。

③ 怎么开始

先读摘要，需要再读全文（https://huggingface.co/papers/2609.39601）；对照论文 ID（2609.39601）可找实现与讨论。

展开：④ 关键证据 / ⑤ 注意事项与坑

④ 关键证据

论文 ID 2609.39601
作者 Qize Yu、Lianrui Fan、Boyu Chen、Jiaqi Liang、Xini Ding、Yue Chen

⑤ 注意事项与坑

摘要来自作者原文，未做同行评议级核验；引用请以正式发表版本为准。

一句话使用前提

适合：追踪今日 AI 论文前沿的读者。

不适合：需要完整复现实验细节的场景（请读原文）。

状态：机检通过（结构与溯源校验）；功能未逐项实测（未校验）。

最小验证（3 步）

读摘要 — GroundingPI: A Grounding Foundation Model towards Physical Intelligence with Visual Primitives
核作者/日期 — Qize Yu, Lianrui Fan, Boyu Chen · 2026-09-30
跑 CLI — npx aiskillready search GroundingPI

快速开始

可以这样用

npx aiskillready search GroundingPI   # 本站 CLI：真实可跑（aiskillready@0.2.0）

说明：`npx aiskillready` 是本站已发布 CLI（npm aiskillready@0.2.0），命令真实可跑；第三方命令按官方文档给出、未逐一实测，本平台不编造结论。

术语速览：SKILL.md / veridrop / schema 是什么？（点开）

SKILL.md — 技能包的说明文件：告诉 Agent 这个技能怎么装、怎么用。
veridrop — 第三方 API 中转观测源：本站「观测」类条目的数据来源。
schema — 数据结构的约定版本：机器读 JSON 的字段规范。
Skill 客户端 — 支持「技能包」标准、能安装运行 Agent Skills 的 App / 工具。
Skill 注册表 — 收录「谁家发布了哪些技能」的公开目录（如 skills.sh）。

信任层：机检 / 成本 / 置信度 / schema（展开查看）

条目 ID：ASR-PAPER-20261013-2609-39601 ｜类型：论文｜ schema v0.5

✅ 机检通过 💰 升维成本 $0.0000 🧭 置信度中 📌 schema 0.5 🛂 审核 agent reviewed 🧪 功能未验证（Top20 实测计划）

相关推荐（应该知道的）

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今日论文《Relevance Does Not Imply Applicability: Experience Activation for Personal GUI Agents》（Fuyao Zhang、Xuan Wang、Zherui Li、Jiaming Zhang、Longtao Huang、Wei Yang Bryan Lim），来自 HF Daily Papers 公开源。

相似

◇ 今日论文 · GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed

今日论文《GroundAnything: Reconciling Parallel Decoding with Precise Visual Grounding at Flash Speed》（Qize Yu、Lianrui Fan、Bowen Ping、Xini Ding、Zetian Song、Junbo Niu），来自 HF Daily Papers 公开源。

相似

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今日论文《T3lescope: Arbitrary-Resolution High-Fidelity Generative Surface Reconstruction from Images》（Atsuhiro Noguchi、Tianhan Xu、Yiming Liang、Yuta Kikuchi、Masahiro Ishiyama、Shintaro Takagi），来自 HF Daily Papers 公开源。

反馈

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🐞 纠错 / 报错 → 提 Issue

值不值得用

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AI 区块 · 机器可读（同一事实源）

AI 区块 · 机器可读 JSON（点击展开）

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