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README.md

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 ---
 license: cc-by-4.0
+language:
+- en
+pretty_name: "Context U-curve: 36 coding-agent runs under six context-clearing policies"
+size_categories:
+- n<1K
+tags:
+- llm-agents
+- coding-agents
+- context-window
+- prompt-caching
+- token-usage
+- claude-code
+- benchmark
+configs:
+- config_name: default
+  data_files: runs_ucurve.csv
 ---
+
+# Context U-curve: 36 coding-agent runs under six context-clearing policies
+
+How often should an LLM coding agent's context be cleared? This dataset holds every run behind the report
+**"Clear Every Third Task: A Measured U-Curve in the Context Economy of Coding Agents"**
+(Evgenii Arsentev, 2026, DOI [10.5281/zenodo.22699668](https://doi.org/10.5281/zenodo.22699668)).
+
+A fixed suite of twelve programming tasks was run under six session-length policies — a fresh session every
+1, 2, 3, 4, 6 and 12 tasks — with six replicates each, holding the model, the tasks, their order and the
+verification suite constant. 36 runs, 4086 tests, 0 failures.
+
+## Summary by policy
+
+| tasks per session | runs | mean modeled cost, USD | mean cache writes | mean cache reads | tests passed |
+|---|---|---|---|---|---|
+| 1 | 6 | 2.68 | 253k | 3.62M | 701/701 |
+| 2 | 6 | 2.40 | 170k | 3.58M | 697/697 |
+| 3 | 6 | 2.14 | 131k | 3.16M | 687/687 |
+| 4 | 6 | 2.28 | 123k | 3.47M | 699/699 |
+| 6 | 6 | 2.28 | 106k | 3.80M | 661/661 |
+| 12 | 6 | 2.47 | 88k | 4.45M | 641/641 |
+
+Cost is not monotone in session length: clearing after every task and never clearing are both more expensive
+than clearing every three to six tasks. Cache writes fall with longer sessions while context carried per call
+rises; their product, cache reads, is U-shaped. Full statistics (exact permutation tests) are in the report.
+
+## Fields
+
+One row per run. Counters only — no prompts, no model output, no file paths, no project names.
+
+| field | meaning |
+|---|---|
+| run_id | hash of the run directory name |
+| tasks_per_session | policy: a fresh session every N tasks (12 = never cleared) |
+| replicate | replicate number 1–6 |
+| sessions | sessions the run used |
+| model_calls | API calls made by the agent |
+| input_tokens / output_tokens | uncached input and model output tokens |
+| cache_write_tokens / cache_read_tokens | prompt-cache writes and reads |
+| total_tokens | sum of the four token counters |
+| modeled_cost_usd | cost at the model's public list prices |
+| wall_clock_s | wall-clock duration of the run |
+| tests_total / tests_passed / tests_failed | verification suite result after the run |
+
+## Tooling
+
+The run-efficiency metric from this study is implemented in [contextburn](https://github.com/arsentev-ai/contextburn)
+(`pip install contextburn`, MCP server `ai.arsentev/contextburn`).
+
+## Citation
+
+```bibtex
+@techreport{arsentev2026ucurve,
+  author = {Arsentev, Evgenii},
+  title  = {Clear Every Third Task: A Measured U-Curve in the Context Economy of Coding Agents},
+  year   = {2026},
+  institution = {ARSENTEV.AI},
+  doi    = {10.5281/zenodo.22699668}
+}
+```
+
+Author: Evgenii Arsentev · ORCID [0000-0002-9120-7298](https://orcid.org/0000-0002-9120-7298) · [arsentev.ai/research](https://arsentev.ai/research)

runs_ucurve.csv

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