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A research project can leave you with code in one place, results
in another,
研究项目可能把代码放一处、结果放另一处，

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and an important decision buried in a conversation.
还把重要决定埋在对话里。

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When you return, which result belongs to which experiment, and
what should happen next?
当你再次回来时，哪个结果属于哪个实验，接下来该做什么？

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That is the idea behind Dr. Claw: a persistent workspace for
human-directed research.
这就是 Dr. Claw 的理念：一个持久的、由人指导的研究工作区。

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It wraps existing command-line coding agents, adding
orchestration, state, and audit views around their execution.
它封装现有命令行编程智能体，在执行能力外围加入编排、状态和审计视图。

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The researcher governs goals, constraints, and acceptance; the
system handles the executable workflow.
研究者负责目标、约束和验收，系统处理可执行工作流。

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We will follow an original project illustration, then examine a
recorded recovery and the paper's pilot comparison.
我们先跟着一个原创项目示例，再查看论文记录的恢复过程和试点评估。

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The workspace maintains four state objects: a Task Graph, an
Artifact Store, a Decision Log, and an Execution Trace.
工作区维护四种状态对象：任务图、产物存储、决策日志和执行轨迹。

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The Task Graph represents what must be done and the dependencies
between steps.
任务图表示要完成什么，以及各步骤之间的依赖关系。

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The Artifact Store holds the produced files and outputs,
connecting completed work to the plan.
产物存储保存生成的文件和输出，把已完成的工作与计划连接起来。

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The Decision Log retains interventions, while the Execution
Trace preserves what actions and observations occurred.
决策日志保留干预记录，执行轨迹则保存发生过的动作和观察。

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Together, these objects make an evolving project inspectable
beyond its latest message.
这些对象结合起来，让不断变化的项目能够被检查，而不只是查看最新消息。

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The mechanism is continuity of recorded state: later steps build
on work that can be reviewed and recovered.
机制的核心是记录状态的连续性：后续步骤建立在可以审查和恢复的工作之上。

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Suppose you want to compare two ways of preparing a dataset.
假设你想比较两种数据准备方法。

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You specify the question, allowed operations, and what evidence
will be acceptable.
你先指定问题、允许操作和可接受证据。

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The workspace converts that brief into a dependency-aware task
plan:
工作区将说明转成有依赖关系的任务计划：

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prepare inputs, run experiments, analyze results, and draft the
report.
准备输入、运行实验、分析结果，再起草报告。

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Its loop is Plan, Execute, Verify, and Write-back. Outputs enter
the artifact store and task statuses update.
它的循环是计划、执行、验证和写回；输出进入产物存储，任务状态随之更新。

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At a checkpoint, you can inspect the evidence and revise the
next step
在检查点，你可检查证据并修改下一步，

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rather than accepting a finished-looking report automatically.
而非自动接受看似完成的报告。

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The intervention is retained, so a changed direction remains
part of the process history.
干预会被保留下来，因此方向改变仍然属于过程历史的一部分。

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That lets the next executor work from the shared project context
without losing the researcher's decision.
这让下一个执行器能够基于共享项目上下文继续工作，而不会丢失研究者的决定。

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The interface provides linked views for orchestration, skills,
and the task list.
界面提供相互关联的编排视图、技能视图和任务列表视图。

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Skills are reusable instructions for stages such as literature
processing, experiments, analysis, and writing.
技能是用于文献处理、实验、分析和写作等阶段的可复用指令。

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The task's stage and type can suggest skills; users can filter
the catalogue or invoke a skill manually.
任务的阶段和类型可以推荐技能；用户也能筛选技能目录，或手动调用技能。

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Versioning and schema checks make an activated skill
identifiable for later replay and audit.
版本记录和结构检查让已启用的技能可以被识别，以便之后重放和审计。

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The task list exposes progress, objectives, and linked skills,
and provides an entry point for the next action.
任务列表显示进度、目标和关联技能，并提供进入下一步操作的入口。

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A suggested skill is not guaranteed to run.
推荐技能并不保证它会运行。

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The paper distinguishes recommending a capability from verifying
its invocation.
论文区分推荐能力与验证其调用。

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The paper demonstrates recovery by inducing a wrong-path failure
within one research mini-project.
论文在一个小型研究项目中人为引入路径错误，演示恢复过程。

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The error is captured in the execution trace, while the prior
project state remains available.
错误被记录在执行轨迹中，而此前的项目状态仍然可用。

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The system halts on the error, then recovers in place with all
five pre-existing files retained.
系统在错误处停止，随后原地恢复，并保留了此前的全部五个文件。

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The recorded walkthrough contains twenty-three tool events.
记录的演示有二十三个工具事件。

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Corrected artifacts are added without wiping the earlier
attempt.
修正产物被加入，先前尝试没有被抹去。

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This is a single-condition design demonstration,
这是单条件设计演示，

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not a matched experiment showing faster or better recovery than
another system.
不是证明比其他系统恢复更快或更好的配对实验。

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For our illustration, the useful idea is to fix the failed input
step while keeping the completed work and its history.
在我们的示例中，有用的思路是修复失败的输入步骤，同时保留已完成的工作及其历史。

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The automated pilot compares Dr. Claw with the bare command-line
agent it wraps,
自动试点比较 Dr. Claw 和所封装的原始命令行智能体，

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using the same GPT-five point four backend.
使用相同 GPT-5.4 后端。

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Three medical-research tasks receive the same open-ended
instruction,
三个医学研究任务收到相同开放指令，

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without a list of all expected research components.
没有列出所有预期研究组件。

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Completeness is the fraction of twenty-one research-practice
elements present in the produced files.
完整性分数是生成文件中出现的二十一项研究实践要素所占的比例。

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The checks cover items such as reproducibility, multiple models,
calibration, subgroup analysis,
检查涵盖可复现性、多个模型、校准和亚组分析，

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and real literature citations.
以及真实文献引用。

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This is a coverage measure. It does not establish that every
analysis or scientific claim is correct.
这是一个覆盖度指标，并不能证明每项分析或科学结论都正确。

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The wrapper changes as one bundle: task graph, state, skills,
and workflow instructions.
封装作为整体改变：任务图、状态、技能与工作流指令。

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The comparison does not isolate one component.
该对比未隔离单个组件。

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Dr. Claw's pooled completeness is zero point nine five two,
Dr. Claw 合并完整性为零点九五二，

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compared with zero point eight seven three for the bare agent.
相比原始智能体的零点八七三。

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It exceeds the bare agent on two tasks and ties on the third.
它在两个任务上超过原始智能体，在第三个任务上持平。

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The observed difference comes from research-practice coverage,
including subgroup analysis and real citations,
差异来自研究实践覆盖，包括亚组分析与真实引用，

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rather than stronger modeling checks.
不是更强的建模检查。

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There is only one run per task. The reported bootstrap interval
for the pooled difference includes zero.
每个任务只有一次执行；报告的合并差异自助法区间包含零。

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The pilot therefore gives directional evidence about this
orchestration bundle,
因此试点为这套编排组合提供方向性证据，

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without a statistically confirmed superiority claim.
没有统计确认的优越性主张。

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Persisted audit objects are architectural affordances,
持久审计对象是架构提供的能力，

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not an independent performance score that the bare agent was
designed to satisfy.
不是原始智能体被设计来满足的独立性能分。

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Dr. Claw's contribution is a workspace that links human
decisions with existing agent execution
Dr. Claw 工作区连接人的决策与现有智能体执行，

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through persistent research state.
连接通过持久研究状态实现。

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The original project illustration shows how a plan, its
artifacts, and later interventions can stay connected.
原创项目示例展示了计划、产物和后续干预如何保持关联。

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The recorded recovery shows prior files surviving a failed step,
恢复记录显示先前文件在失败步骤后保留下来，

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while the pilot separately measures expected-component coverage.
试点则单独测量预期组件的覆盖度。

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These are different pieces of evidence: recoverability, process
visibility, and output coverage.
这些是不同的证据：可恢复性、过程可见性，以及输出覆盖度。

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The researcher's acceptance decision still matters, because a
traceable process needs its conclusions checked.
研究者的验收决定仍然重要，因为可追溯的过程也需要核查其结论。

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The useful unit is the continuing project: what was attempted,
what changed, and what evidence supports the next step.
有用的单位是持续推进的项目：尝试过什么、什么发生了变化，以及哪些证据支持下一步。