# Reading Queue

status: seed

| Priority | Paper | Topic | Reason | Status | Link |
| --- | --- | --- | --- | --- | --- |
| P0 | OpenAgentSafety | agent safety / evaluation | 真实工具、多轮、多用户安全评估，直接对应 Agent eval 需求 | skimmed | https://arxiv.org/abs/2507.06134 |
| P0 | Memory for Autonomous LLM Agents | memory | 综述 memory 机制、评估和工程挑战，对 JD 高频 memory/context 信号有解释力 | skimmed | https://arxiv.org/html/2603.07670v1 |
| P0 | EvoMemBench | memory benchmark | 说明 memory 不总是优于长上下文，适合作为实验设计依据 | skimmed | https://arxiv.org/html/2605.18421 |
| P0 | SWE-EVO | coding agent benchmark | 长程软件演进任务比 SWE-Bench 更接近真实工程 | skimmed | https://arxiv.org/html/2512.18470v5 |
| P1 | Dialogue-SWEBench | human-in-the-loop coding agent | 评估 coding agent 澄清需求能力，补足全自动 benchmark 盲区 | skimmed | https://arxiv.org/html/2606.13995v1 |
| P1 | Taxonomy and Consistency Analysis of Safety Benchmarks for AI Agents | safety benchmark taxonomy | 用于选择和比较 Agent safety benchmark | queued | https://arxiv.org/html/2605.16282v1 |
| P0 | The Regression Tax | component evaluation | 需要验证 gains/regressions 分解、三类 skill regression 和跨 harness 设置 | queued | https://arxiv.org/abs/2607.22520 |
| P0 | Do Agent Benchmarks Measure Capability? | evaluation validity | 直接检查 benchmark protocol 是否真的测到目标能力 | queued | https://arxiv.org/abs/2607.22368 |
| P0 | AgentLens | coding-agent trajectory | 生产轨迹评审和失败类型可能直接支持 K1412 eval task/failure taxonomy | queued | https://arxiv.org/abs/2607.06624 |
| P0 | DynamicMCPBench | dynamic tool evaluation | 动态 MCP server、trace grounding 和 effect scoring 对工具 Agent 评测直接相关 | queued | https://arxiv.org/abs/2607.20531 |
| P1 | AgentDebugX | observability / recovery | 评估失败可观测、归因和恢复工具的实现与证据 | queued | https://arxiv.org/abs/2607.18754 |
| P1 | Reason Less, Verify More | deterministic verification | 核验确定性 gate 是否真的恢复策略违规失败 | queued | https://arxiv.org/abs/2607.07405 |

## Priority Rules

- `P0`: 直接影响当前项目或实验。
- `P1`: 和 Agent 核心能力强相关，有可靠证据。
- `P2`: 值得了解，但暂不影响近期决策。
- `P3`: 只作为背景材料。

## Review Rhythm

- 每周补充新条目。
- 每月清理低价值或重复条目。
- 阅读完成后移动到 `papers/items/`，并在这里更新状态。
