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Reasoning through execution: Unifying process and outcome rewards for code generation

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

4 Pith papers citing it

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citation-polarity summary

fields

cs.CL 3 cs.AI 1

years

2026 3 2025 1

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representative citing papers

Code as Agent Harness

cs.CL · 2026-05-18 · accept · novelty 5.0

A survey that organizes existing work on LLM-based agents around code as the central harness, structured in three layers of interfaces, mechanisms, and multi-agent scaling, with applications across domains and listed open challenges.

citing papers explorer

Showing 4 of 4 citing papers.

  • PaT: Planning-after-Trial for Efficient Test-Time Code Generation cs.CL · 2026-05-08 · unverdicted · none · ref 26

    PaT defers planning until after failed trials in LLM code generation, enabling heterogeneous cheap-plus-powerful model setups that match large-model performance at roughly 69% lower cost.

  • Code as Agent Harness cs.CL · 2026-05-18 · accept · none · ref 97

    A survey that organizes existing work on LLM-based agents around code as the central harness, structured in three layers of interfaces, mechanisms, and multi-agent scaling, with applications across domains and listed open challenges.

  • PYTHALAB-MERA: Validation-Grounded Memory, Retrieval, and Acceptance Control for Frozen-LLM Coding Agents cs.CL · 2026-05-08 · unverdicted · none · ref 48

    An external controller for frozen LLMs raises strict validation success on three RL coding tasks from 0/9 to 8/9 by selecting memory records and skills, running fail-fast checks, and propagating credit via eligibility traces.

  • From System 1 to System 2: A Survey of Reasoning Large Language Models cs.AI · 2025-02-24 · accept · none · ref 165

    The survey organizes the shift of LLMs toward deliberate System 2 reasoning, covering model construction techniques, performance on math and coding benchmarks, and future research directions.