Skip to content

system paper reading notes

active 2023-09-032026-07-02 (UTC)

Complete coverage26,477 / 26,477 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
381
Pushes
0
Pull requests
0
Issues
244
Stars
69
Forks
5

Activity over time

Daily event counts in the loaded window

Line chart, 1034 days from 2023-09-03 to 2026-07-02. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 244 total, peak 74 in a day. Comments: 63 total, peak 6 in a day. Stars: 69 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
pentium33040060
kevin8023c1001
arc-arnob1001
TiankaiHang1001

Recent activity

Latest issues, pull requests and releases

  • Issue comment#440pentium32026-07-02 05:14
    Chimera: Latency- and Performance-Aware Multi-agent Serving for Heterogeneous LLMs
  • Issue#437pentium32026-06-07 05:02
    SystemX: Resource-Efficient Agentic Workflow Orchestration in Cloud Platforms
  • Issue comment#436pentium32026-06-05 22:33
    AIMS: Cost-Efficient LLM-Based Agent Deployment in Hybrid Cloud-Edge Environments
  • Issue#429pentium32026-06-05 21:55
    Adaptive Vision-Language Model Routing for Computer Use Agents
  • Issue comment#426pentium32026-03-28 01:56
    SkillRouter: Retrieve-and-Rerank Skill Selection for LLM Agents at Scale
  • Issue comment#426pentium32026-03-28 01:54
    SkillRouter: Retrieve-and-Rerank Skill Selection for LLM Agents at Scale
  • Issue#422pentium32026-03-05 22:14
    Speculative Speculative Decoding
  • Issue#420pentium32026-02-28 08:57
    AgentCgroup: Understanding and Controlling OS Resources of AI Agents
  • Issue#416pentium32026-02-19 23:08
    ThunderAgent: A Simple, Fast and Program-Aware Agentic Inference System
  • Issue#415pentium32026-02-19 23:07
    Faster Cascades via Speculative Decoding
  • Issue#415pentium32026-02-19 23:07
    Faster Cascades via Speculative Decoding
  • Issue#413pentium32026-02-10 20:34
    Astraea: A state-aware scheduling engine for llm-powered agents
  • Issue#413pentium32026-02-10 20:34
    Astraea: A state-aware scheduling engine for llm-powered agents
  • Issue#410pentium32026-01-28 07:49
    mHC: Manifold-Constrained Hyper-Connections
  • Issue comment#395pentium32026-01-28 07:18
    Speculative Actions: A Lossless Framework for Faster Agentic Systems
  • Issue#409pentium32026-01-28 03:30
    Throughput-Optimal Scheduling Algorithms for LLM Inference and AI Agents
  • Issue#409pentium32026-01-28 03:30
    Throughput-Optimal Scheduling Algorithms for LLM Inference and AI Agents
  • Issue comment#389pentium32026-01-28 03:16
    NALAR: A Serving Framework for Agent Workflows
  • Issue comment#389pentium32026-01-28 02:38
    NALAR: A Serving Framework for Agent Workflows
  • Issue comment#392pentium32026-01-28 01:50
    Autellix: An Efficient Serving Engine for LLM Agents as General Programs
  • Issue comment#392pentium32026-01-28 00:04
    Autellix: An Efficient Serving Engine for LLM Agents as General Programs
  • Issue comment#392pentium32026-01-27 23:49
    Autellix: An Efficient Serving Engine for LLM Agents as General Programs
  • Issue#407pentium32026-01-27 23:30
    Towards Agentic OS: An LLM Agent Framework for Linux Schedulers
  • Issue#406pentium32026-01-27 08:21
    SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations
  • Issue#405pentium32026-01-27 08:20
    Asteria: Semantic-Aware Cross-Region Caching for Agentic LLM Tool Access

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 69 stars here means stars gained during the window, not the repo's star count.