hot fix

Updated the link to the DeepSeek v3.2 technical report.

Author: zjwu0522

README.md

@@ -20,7 +20,7 @@ MCPMark provides a reproducible, extensible benchmark for researchers and engine
 
 - 🏅 **02 Dec** — Evaluated `gemini-3-pro-preview` (thinking: low): **Pass@1 50.6%** ± 2.3% — so close to `gpt-5-high` (51.6%)! Also `deepseek-v3.2-thinking` 36.8% and `deepseek-v3.2-chat` 29.7%
 - 🔥 **02 Dec** — Obfuscate GitHub @mentions to prevent notification spam during evaluation ([#229](https://github.com/eval-sys/mcpmark/pull/229))
-- 🤝 **01 Dec** — DeepSeek v3.2 uses MCPMark! Kudos on securing the best open-source model. [X Post](https://x.com/deepseek_ai/status/1995452650557763728) | [Technical Report](https://github.com/deepseek-ai/DeepSeek-V3/blob/main/DeepSeek_V3.pdf)
+- 🤝 **01 Dec** — DeepSeek v3.2 uses MCPMark! Kudos on securing the best open-source model. [X Post](https://x.com/deepseek_ai/status/1995452650557763728) | [Technical Report](https://huggingface.co/deepseek-ai/DeepSeek-V3.2/resolve/main/assets/paper.pdf)
 - 🔥 **17 Nov** — Added 50 easy tasks (10 per MCP server) for smaller open-source models ([#225](https://github.com/eval-sys/mcpmark/pull/225))
 - 🤝 **31 Oct** — Community PR from insforge: better MCP servers achieve better results with fewer tokens! ([#214](https://github.com/eval-sys/mcpmark/pull/214))
 - 🔥 **13 Oct** — Added ReAct agent support. PRs for new agent scaffolds welcome! ([#209](https://github.com/eval-sys/mcpmark/pull/209))