Update README (phaseF: Claude Fable 5.2, 855 trajectories; writer GPT-6.1 Sol)
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README.md
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`provenance` says `engine: claude`, `model: claude-sonnet-5-5` and carries a `writer_note`.
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- Layout: `phaseR/<suite>/<task>/trajectories/<runId>.json`; the DAG stays `phase2/<suite>/<task>/task_dag.json`.
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- Status: 630 of 630 trajectories uploaded (269 tasks) (complete).
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`provenance` says `engine: claude`, `model: claude-sonnet-5-5` and carries a `writer_note`.
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- Layout: `phaseR/<suite>/<task>/trajectories/<runId>.json`; the DAG stays `phase2/<suite>/<task>/task_dag.json`.
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- Status: 630 of 630 trajectories uploaded (269 tasks) (complete).
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## Phase F: Claude Fable 5.2 (2026-11-12)
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- Runs: the counted attempt of Claude Code with Claude Fable 5.2 (run `claude_code-fable_5_2-high`, default seed) on
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each core test (privileged, standard and realtime), successes and failures alike, the same rule as for the other
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agents. Tests whose task has no phase-2 DAG are not labelled (no DAG is written here): embodiedswe, roboengineer and
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two newer Embodied Olympics - Match tasks.
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- Writer: GPT-6.1 Sol (`gpt-6.1-sol`, high effort) in Codex; reviewer: Claude Sonnet 5.5 in Claude Code. The same
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writer and reviewer as phase 2; prompts v3.2, the task's phase-2 DAG as published under `phase2/` (not rewritten;
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`dag_sha256` is that file), the same task inputs and oracle rule, review rounds and validation. Each file's
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`provenance` carries a `writer_note` and `writer_access` (ChatGPT subscription or Azure OpenAI API, same model).
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- Videos: the graded `replay.mp4` of the run viewer dataset `MLL-Lab/embodied-exam-runs`; runs without one (privileged
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runs that submitted nothing) are labelled from the log only.
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- Layout: `phaseF/<suite>/<task>/trajectories/<runId>.json`; the DAG stays `phase2/<suite>/<task>/task_dag.json`.
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- Status: 855 of 855 trajectories uploaded (427 tasks) (complete).
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