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license: mit
tags:
  - icml2026-repro
  - gflownet
  - reproduction

ST-GFN reproduction code (ICML 2026 #18502, OpenReview QQRCqb2PDj)

Independent reimplementation of Spectral Flow Matching: Stabilizing Stochastic GFlowNets via Frequency-Domain Regularization (no author code was released).

file	purpose
`envs.py`	BitSequence, HyperGrid, TicTacToe, SingleCell proxy environments
`models.py`	RFF map, GFlowNet backbone, RND/ICM, autocorrelated intrinsic reward
`train.py`	ST-GFN + 10 baselines, training loop, metrics
`run_suite.py`	parallel experiment runner
`analyze.py`	aggregation, 95% CIs, Welch tests, Cohen's d
`diagnose_spectral.py`	structural diagnostics of the two spectral terms
`hf_job_scaled.py`	scaled experiment for Hugging Face GPU Jobs

Reproduce locally:

python run_suite.py --envs hypergrid --iters 5000 --seeds 0,1,2,3,4 --out outputs/main
python analyze.py --out outputs/main

Full write-up: see the Trackio logbook linked from the reproduction collection.