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3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it

citation-role summary

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citation-polarity summary

fields

cs.SE 2 cs.AI 1

years

2026 2 2025 1

verdicts

UNVERDICTED 3

roles

background 1

polarities

background 1

representative citing papers

AlphaEvolve: A coding agent for scientific and algorithmic discovery

cs.AI · 2025-06-16 · unverdicted · novelty 7.0

AlphaEvolve is an LLM-orchestrated evolutionary coding agent that discovered a 4x4 complex matrix multiplication algorithm using 48 scalar multiplications, the first improvement over Strassen's algorithm in 56 years, plus optimizations for Google data centers and hardware.

Customizing an LLM for Enterprise Software Engineering

cs.SE · 2026-05-15 · unverdicted · novelty 4.0 · 2 refs

Gemini for Google, customized via continued pre-training on proprietary Google engineering data, delivers measurable productivity gains in a large internal developer study.

citing papers explorer

Showing 3 of 3 citing papers.

  • AlphaEvolve: A coding agent for scientific and algorithmic discovery cs.AI · 2025-06-16 · unverdicted · none · ref 62 · internal anchor

    AlphaEvolve is an LLM-orchestrated evolutionary coding agent that discovered a 4x4 complex matrix multiplication algorithm using 48 scalar multiplications, the first improvement over Strassen's algorithm in 56 years, plus optimizations for Google data centers and hardware.

  • MOA: A Profiling-Guided LLM Framework for Memory-Optimization Automation at Codebase Scale cs.SE · 2026-06-30 · unverdicted · none · ref 19 · internal anchor

    MOA deploys LLM agents to detect recurring memory anti-patterns via profiling, synthesize static analyzers, and apply patches, reporting 42% heap and 11% binary-size reductions on OpenHarmony after finding over 10,000 issues.

  • Customizing an LLM for Enterprise Software Engineering cs.SE · 2026-05-15 · unverdicted · none · ref 15 · 2 links · internal anchor

    Gemini for Google, customized via continued pre-training on proprietary Google engineering data, delivers measurable productivity gains in a large internal developer study.