Alignment with paper 338

The supplied paper's Table 1 (page 6) defines the main system as heterogeneous Qwen3-1.7B / Qwen3-4B / Qwen3-8B with independent rank-64 LoRA adapters. The homogeneous 3x4B and 3x8B experiments, baselines and ablations are not part of this release. Tables 15–17 (pages 32–34) identify the final PD and SLS data counts and optimization settings. The following mapping was checked against the source project's final_hyperparameter_audit.md, its extractor and checkpoint metadata.

Paper-reported main results

Dataset	Metric 1	Metric 2	Evaluation examples
MuSiQue	Accuracy 42.37	F1 53.43	2,417
GSM-Hard	Accuracy 71.97	F1 81.15	132
MATH	Accuracy 78.40	F1 85.25	500
MultiPL-E	Weighted pass@1 59.39	Macro-language pass@1 59.63	1,352
Conifer	Coverage 88.90	Explicit 95.90	1,402

All scores are percentages reported in the paper. They are not measurements newly produced during publication. In particular, the MultiPL-E 8B evaluated checkpoint is missing, so the included later weights do not substantiate that exact result.

Final training-run mapping

Paths below are relative to the original jca project. Each listed model-stage group includes every surviving checkpoint weight under that final training version.

Dataset / stage	Source run	Models / training agents
MuSiQue PD	`sft_runs/0706v2`	1.7B A1, 4B A2, 8B A3
MuSiQue SLS	`rl_runs/rl_14B_0716_v2`	1.7B A1, 4B A2
MuSiQue SLS	`rl_runs/rl_14B_0716_v3`	8B A3
GSM-Hard PD	`sft_runs/gsm_fixed_a1_corr30_20260723_v3`	1.7B A1, 4B A2, 8B A3
GSM-Hard SLS	`rl_runs/gsm_judge_rl/gsm_judge_rl_v13_14b_role_c2c_1_05_1`	1.7B A1, 4B A2, 8B A3
MATH PD	`experiments/math_specific_sft_rl_v1/artifacts/math_specific_sft_rl_reuse_legacy_v4d_real_rollout_sft_protocol_floor_v2_20260830/01_sft/adapters`	1.7B A1, 4B A2, 8B A3
MATH SLS	`experiments/math_specific_sft_rl_v1/artifacts/math_specific_sft_rl_reuse_legacy_v4d_real_rollout_sft_protocol_floor_v2_20260830/05_train/adapters`	1.7B A1, 4B A2, 8B A3
MultiPL-E PD	`sft_runs/multipl_e_8lang_v5_diverse_a1_5ep`	1.7B A1
MultiPL-E PD	`sft_runs/multipl_e_8lang_v5_diverse_a2_selfcorr2x_2ep_20260819`	4B A2
MultiPL-E PD	`sft_runs/multipl_e_8lang_v5_diverse_a3_5ep`	8B A3
MultiPL-E SLS	`rl_runs/multipl_e_a2_gpt5_paired_rwr_20260827`	4B A2
MultiPL-E SLS	`rl_runs/multipl_e_a1_8b_gpt5_paired_rwr_20260830`	8B A1
Conifer PD	`conifer_training_hub/11_runs/sft/conifer_stratified_sft_full_rl_20260902`	1.7B A1, 4B A2, 8B A3
Conifer SLS	`conifer_training_hub/11_runs/rl/conifer_stratified_sft_full_rl_20260902`	1.7B A1, 4B A2, 8B A3

This produces 29 model-stage groups: 15 PD groups and 14 SLS groups. MultiPL-E 1.7B is PD-only, exactly as Table 16 specifies.

Table 16 cross-check

The recorded final SLS summaries agree with these paper training-record counts:

Dataset	1.7B	4B	8B
MuSiQue	2,416	1,727	1,411
GSM-Hard	3,714	3,516	2,765
MATH	32,746	29,261	30,200
MultiPL-E	PD only	1,908	1,860
Conifer	46,746	47,063	44,913

Evaluation checkpoint identity

MuSiQue: A1 and A2 use rl_14B_0716_v2; A3 uses rl_14B_0716_v3. The formal evaluation identifier is rl_sft_mas_0717_1130.
GSM-Hard: the formal evaluation uses the gsm_judge_rl_v13 role-c2c run with seed 43, hidden thinking and the recorded self-handoff/context configuration.
MATH: the formal evaluation identifier is rl_all_final_a3_turn2_incumbent_v1. Its published score uses the project's special three-turn answer-selection protocol; loading an adapter by itself does not reproduce that protocol.
MultiPL-E: evaluation roles are reversed in capacity: A1=8B, A2=4B, A3=1.7B. The formal run used 8B SLS checkpoint-25, 4B SLS checkpoint-120, and 1.7B PD final. The 8B checkpoint 25 is missing; its later checkpoint 100 and final export are retained only as other checkpoints of the same final training run. The formal evaluation identifier is mpe0912_120_multipl_e_gpt5rwr_ckpt25_x10_r08.
Conifer: the formal evaluation identifier is rl_mas_eval_forever_20260906/round_4 from the final stratified SFT/RL run. The Coverage/Explicit scores must not be substituted with other per-trajectory hard-score or all-explicit-pass metrics.

Known missing historical checkpoints

The source cleanup log records 18 deleted checkpoints from these selected runs on 2026-11-05, including MultiPL-E 8B checkpoint 25. Their exact paths and deletion timestamps are included in manifest.json. No substitute is labeled as the deleted checkpoint. Other earlier checkpoints can be absent because training used checkpoint-retention limits.