# Paper Notes

This section turns each inspiration paper into a short working note for the repo.

Each note uses the same structure:

- `Core idea`: the shortest accurate summary of the paper
- `Why it matters here`: the transfer to `agent_debugger`
- `Key takeaways for the repo`: the most relevant lessons
- `Concrete opportunities`: changes the repo could actually make
- `Caution`: what not to over-apply
- `Best next experiment`: the highest-value thing to try first

## Papers

- [Towards a Neural Debugger for Python](./towards-a-neural-debugger-for-python.md)
- [MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning](./mssr-memory-aware-adaptive-replay.md)
- [CXReasonAgent: Evidence-Grounded Diagnostic Reasoning Agent for Chest X-rays](./cxreasonagent-evidence-grounded-diagnostic-reasoning.md)
- [NeuroSkill(tm): Proactive Real-Time Agentic System Capable of Modeling Human State of Mind](./neuroskill-proactive-real-time-agentic-system.md)
- [Learning When to Act or Refuse: Guarding Agentic Reasoning Models for Safe Multi-Step Tool Use](./learning-when-to-act-or-refuse.md)
- [Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts](./policy-parameterized-prompts.md)
- [AgentTrace: Causal Graph Tracing for Root Cause Analysis](./agenttrace-causal-graph-tracing-for-root-cause-analysis.md)
- [XAI for Coding Agent Failures: Transforming Raw Execution Traces into Actionable Insights](./xai-for-coding-agent-failures.md)
- [REST: Receding Horizon Explorative Steiner Tree for Zero-Shot Object-Goal Navigation](./rest-receding-horizon-explorative-steiner-tree.md)
- [FailureMem: A Failure-Aware Multimodal Framework for Autonomous Software Repair](./failuremem-failure-aware-autonomous-software-repair.md)

## How To Read These Notes

These are not literature reviews. They are design notes.

The goal is to answer one question per paper:

- what should this repo do differently because this paper exists
