# jeffrey-xiao/papers

Repository: https://github.com/jeffrey-xiao/papers
Canonical: https://ross.abutalabs.com/products/jeffrey-xiao-papers
Language: TeX
License Family: other
Last push: 2023-07-11T01:02:59+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2768, "days_push": 1150, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1389, forks 22 (observed 2026-08-28T04:04:35.459632+00:00)

## What it is
A curated collection of academic papers, articles, and blog posts focused on distributed systems, organized by topic such as consensus. It also includes the author's personal notes summarizing key takeaways from selected resources.

## Use cases
- find classic papers on distributed consensus like Paxos and Viewstamped Replication
- build a self-study reading list for distributed systems
- read summaries and notes before diving into dense academic papers
- discover influential blog posts on consistency models and Jepsen analyses
- prepare for system design interviews with foundational distributed systems literature

## When to choose
- you want a curated, topic-organized reading list for distributed systems
- you prefer learning from primary sources like original research papers
- you want author notes to guide your understanding of difficult material

## When to avoid
- you need executable code or a software tool
- you want a comprehensive textbook-style course with exercises
- you need up-to-date coverage of the newest research, as the collection is no longer actively updated

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation
- domain: microservices, tutorials, awesome-lists
- platform: cross-platform
- tags: reading-list, academic-papers, distributed-systems, consensus, study-notes

## Member repositories
- jeffrey-xiao/papers (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:35.459632+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T04:39:42.888230+00:00, confidence not recorded.
  - readme: https://github.com/jeffrey-xiao/papers (fetched 2026-08-28T04:04:35.459632+00:00, sha f4b8015f33ef)
- Data as of 2026-08-30T08:39:29.467469+00:00.