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Multi-Turn Agentic Context Decay & State Pollution Benchmark

This story is from 2026-10-09. It is preserved in the archive; the latest stories are on the live feed.

Submission for Kaggle Benchmarking Challenge What I Benchmarked Measured multi-turn agent context decay across 50 steps. Linear KV-cache and flat RAG suffer topic bleed, dropping recall from 97.2% to 60.8%. Figure 1: Benchmark harness with 14-Gate BBQ verification on Apple M4. Models Tested XORAS 1…

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Timeline · 2 reports

  1. 2026-10-09 18:32 · DEV Community — Machine Learning
    Multi-Turn Agentic Context Decay & State Pollution Benchmark
  2. 2026-10-09 18:16 · DEV Community — Machine Learning
    Multi-Turn Agentic Context Decay & State Pollution Benchmark

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