A newer version of the Gradio SDK is available: 6.22.0
metadata
title: TRM Complex Reasoning Reproduction
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 6.20.0
app_file: app.py
pinned: false
tags:
- icml2026-repro
- paper-IMFgiWw4jd
TRM Complex Reasoning Reproduction
This submission checks released artifacts for "Characterizing, Evaluating, and
Optimizing Complex Reasoning" (IMFgiWw4jd).
It targets three claims:
- ME2 characterizes reasoning traces along macro/micro and efficiency/effectiveness dimensions.
- Reasoning traces are represented as DAGs with progression, branching, and merging structures.
- TRM is trained from the TRM-Preference dataset with a preference-loss reward model path.
The evidence is CPU-only. It pins the arXiv source hash, GitHub revision, HF dataset revision, and HF model revision; it avoids downloading the 2 GB training JSON and 30 GB model weights.
Run:
uv run python generate_evidence.py
uv run pytest -q