# Collection Run: 2026-07-08 First Sweep

status: completed

## Scope

- date: 2026-07-08
- jobs: rolling 6-month window, Beijing-first Agent / LLM roles
- papers: provisional source sweep from arXiv and official research/blog sources
- industry: large-company Agent work, technical reports, engineering blogs, benchmarks

## Queries Used

Jobs:

```text
site:joinbytedance.com 北京 Agent 大模型 LLM 招聘
site:careers.tencent.com 北京 Agent 大模型 LLM 招聘
site:talent.baidu.com 北京 Agent 大模型 LLM 招聘
site:careers.alibaba.com 北京 Agent 大模型 LLM 招聘
DeepSeek 招聘 Agent 北京 大模型 岗位
site:jobs.bytedance.com 北京 智能体 大模型 Agent
site:careers.tencent.com/jobdesc.html 北京 LLM Agent 桌面 智能伙伴
```

Papers:

```text
2026 LLM agent evaluation benchmark arxiv tool use memory
2026 AI agent benchmark evaluation arxiv long horizon tasks
2026 coding agent benchmark SWE-bench arxiv agent evaluation
2026 multi-agent AI safety benchmark arxiv
```

Industry:

```text
site:openai.com/index agents 2026 technical report
site:anthropic.com/news agent computer use 2026
site:deepmind.google/blog agent 2026
site:microsoft.com/en-us/research/blog agent 2026
site:qwen.ai/blog agent Qwen 2026
site:seed.bytedance.com/en agent 2026 ByteDance Seed
site:github.com/deepseek-ai agent DeepSeek 2026
```

## First-pass Method Notes

- Official pages are preferred for item files.
- Search snippets are allowed only as weak evidence when official pages are JavaScript-rendered and not easily extractable.
- For JD, source quality and location must be explicit; non-Beijing roles can be kept only when they reveal strong Agent demand signals.
- For papers, items are marked `queued` or `skimmed`; source approval remains separate from item relevance.
- For industry material, `source_quality` and `evidence_level` are deliberately separate.

## Output

- jobs: 6 starter items
- papers: 6 starter items
- industry: 9 starter items
- scripts: item creation, index generation, URL checking

## Summary

- total items: 21
- by collection: jobs 6, papers 6, industry 9
- strongest recurring topics: agent evaluation, memory, coding agents, safety, enterprise deployment
- first tool output: `data/index.json` and `data/summary.json`

## Follow-up

- Deepen official JD extraction for DeepSeek, ByteDance and Tencent.
- Confirm approved paper sources before doing a larger paper sweep.
- Add Anthropic and more Qwen/OpenAI/DeepSeek industry items in the next run.
