JingweiNi/iclr-2action-controller-chains

ICLR 2-action controller — rollout chains

Chain-of-thought rollouts with counterfactual stopping probes, for a single-chain {continue, terminate} controller on Qwen3-1.7B (native thinking).

Each JSONL line is one chain:

field	meaning
qkey, rep, gold	question id, chain index, gold answer
outcome	natural | length (budget cut)
answer, correct	the chain's own answer and whether it is right
blocks, thinking_tokens	length of the reasoning
completion_ids	the full token ids — the CoT itself
block_ends, query_points	block boundaries and the probed prefixes
probes[]	{block, prefix_len, forced, forced_tokens} — the answer the model gives if forced to stop there

Probes are placed at every 4th block. Boxed pools force </think>\n\n\boxed{ (≤ 32 tokens); code pools force a ```python program (≤ 768 tokens) graded by unit tests. That makes the value of stopping at any point observable, which is what the controller is trained and evaluated on.

Contents

file	questions × chains	domain
chains/math_union_fit.jsonl	4 241 × 10	hard math (DAPO, Numina-hard, DeepScaleR) — training
chains/math_union_select.jsonl	1 065 × 10	same — model selection
chains/math_t1_report.jsonl, chains/math_t2_report.jsonl	841 / 853 × 10	sealed math test splits
chains/math_ood_report.jsonl	951 × 8	math OOD (MATH-500, AIME 24/25, OlympiadBench, GaoKao)
chains/code_pool_{fit,select,report}.jsonl	891 / 223 / 386 × 8–16	SYNTHETIC-2-RL code pool
chains/code_ood_pooled.jsonl	958 × 8	HumanEval+, MBPP+, LiveCodeBench ≥ 2024-08
chains/gpqa_diamond_report.jsonl	198 × 8	GPQA-Diamond as numbered-option MCQ
chains/mixed_{fit,select}.jsonl	concatenations of the math and code splits
manifests/, fire_tables/	question manifests and cross-fitted π₀ tables
ladders/ladders_json.tar.gz	full decision-rule sweeps behind every reported table
ASSET_INVENTORY.json	path → bytes → lines → sha256 for every file here

Companion checkpoints: JingweiNi/iclr-2action-controller-heads.

Provenance and reproduction

Code, frozen question manifests, all 70 result tables and the full reproducibility record live on the branch archive/iclr-2action-controller-2026-08-30 of the project repo; see docs/reproducibility/iclr-2action-controller-assets.md there. Generation is seeded by (qkey, rep, seed), so any shard regenerates byte-identically from (manifest, commit, seed).

GPQA-Diamond questions are derived from the gated Idavidrein/gpqa (revision 633f5ee8…); this repo redistributes only the model's own rollouts over them, not the source CSV.