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arXiv:2603.29231 (2026)

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

2 Pith papers citing it

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cs.AI 1 cs.SE 1

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2026 2

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representative citing papers

Why Retrying Fails: Context Contamination in LLM Agent Pipelines

cs.AI · 2026-05-08 · conditional · novelty 7.0

A Context-Contaminated Restart Model derives exact success probabilities and an optimal pipeline depth T* = sqrt(B * log(1/(1-ε1)) / log(1/(1-ε0))) for fixed budget B, validated on SWE-bench where it fits data far better than IID assumptions.

Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents

cs.SE · 2026-04-27 · unverdicted · novelty 7.0

TraceToChain models LLM agent traces as absorbing DTMCs using automatic clustering and smoothed MLE, with KS and AIC validation, to reconcile pass@k, pass^k, and RDC as projections of a single first-passage success-time distribution.

citing papers explorer

Showing 2 of 2 citing papers.

  • Why Retrying Fails: Context Contamination in LLM Agent Pipelines cs.AI · 2026-05-08 · conditional · none · ref 23

    A Context-Contaminated Restart Model derives exact success probabilities and an optimal pipeline depth T* = sqrt(B * log(1/(1-ε1)) / log(1/(1-ε0))) for fixed budget B, validated on SWE-bench where it fits data far better than IID assumptions.

  • Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents cs.SE · 2026-04-27 · unverdicted · none · ref 17

    TraceToChain models LLM agent traces as absorbing DTMCs using automatic clustering and smoothed MLE, with KS and AIC validation, to reconcile pass@k, pass^k, and RDC as projections of a single first-passage success-time distribution.