Update README (phaseK: Kimi 3.1 Pro, 3 trajectories; writer Claude Sonnet 5.5)
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README.md
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@@ -831,3 +831,19 @@ reads only the highest `phaseN/` folder of a task (its DAG with its own trajecto
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| `phase2/vlabench/texas_holdem/` | 16 | yes |
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| `phase2/yamlab/hang_mug_on_tree_i15/` | 16 | no |
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| `phase2/yamlab/put_pot_on_cooktop/` | 16 | yes |
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| `phase2/vlabench/texas_holdem/` | 16 | yes |
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| `phase2/yamlab/hang_mug_on_tree_i15/` | 16 | no |
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| `phase2/yamlab/put_pot_on_cooktop/` | 16 | yes |
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## Phase K: Kimi 3.1 Pro (2026-11-08)
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- Runs: the counted attempt of Claude Code with Kimi 3.1 Pro (run `claude_code-kimi_3_1_pro-high`) on each core test
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(privileged, standard and realtime), successes and failures alike, the same rule as for the other seven agents. Tests
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whose task has no phase-2 DAG are not labelled (no DAG is written here): embodiedswe, roboengineer and two newer
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Embodied Olympics - Match tasks.
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- **Writer: Claude Sonnet 5.5 (`claude-sonnet-5-5`, Claude Code) for this agent only**, by the owner's decision of
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2026-11-08 (no GPT-6.1 Sol quota). The reviewer is Claude Sonnet 5.5 as before, in a separate session. Everything
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else is unchanged: prompts v3.2, the task's phase-2 DAG as published under `phase2/` (not rewritten; `dag_sha256` is
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that file), the same task inputs and oracle rule, the same review rounds and validation. Each file's `provenance`
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says `engine: claude`, `model: claude-sonnet-5-5` and carries a `writer_note`.
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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: `phaseK/<suite>/<task>/trajectories/<runId>.json`; the DAG stays `phase2/<suite>/<task>/task_dag.json`.
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- Status: 3 of 857 trajectories uploaded (2 tasks); the rest follow batch by batch.
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