A markdown template for taking notes to summarize research papers.
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Updated
Feb 19, 2024
A markdown template for taking notes to summarize research papers.
DeepPaperNote is an agent skill for deep-reading a single paper and generating high-quality Obsidian-style research notes. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
Obsidian-first LLM Wiki skill pack with ontology-ready bootstrap, canonical JSONL truth layers, and optional graph projection.
Research notes on maintaining and reasoning about LLM context windows across long-lived projects. Speculative ideas, heuristic boundaries, and design sketches without empirical validation.
A framework for clustering research notes
Stanford AI for Lean Club progress on Erdős problems: papers, frontier notes, visualizer data, and Lean formalization.
An experimental research project developing a foundational theory of frameworks — the structures through which the human mind constructs and engages with reality.
前沿物理仿真与智能感知技术调研资料库 | Frontier physics simulation research notes
Notes & experiments on LLMs, open-weight models, multimodal systems, and cloud deployment.
An introduction to actors with working Akka example to demonstrate an actor based approach to concurrency and it's affect of software design on scalability.
SDFI emerges specifically under conditions of recursive self-description and sustained high semantic density, not in ordinary task-oriented interaction.This work is intended as a reference for researchers and system designers thinking about neutrality, termination behavior, and control surfaces in future AI systems.
Notes & comparisons on storage options for large LLMs (Work-in-progress)
Vulnerability Research notes
Lab 137 — a place that both exists and does not exist. Talks, posters & research notes.
Personal learning notebook on latent space engineering, representation geometry, and exploratory research notes.
Mathematical modeling workspace for MCM-style analysis, report drafting, visualization, and reproducible experiment notes.
Research notes on causal machine learning, representation learning, and causal perspectives on language models.
Personal research notes, exploratory ideas, and early-stage project materials.
Add a description, image, and links to the research-notes topic page so that developers can more easily learn about it.
To associate your repository with the research-notes topic, visit your repo's landing page and select "manage topics."