README.md

---
title: TCS Trace Viewer
emoji: 🔭
colorFrom: indigo
colorTo: green
sdk: static
app_file: index.html
pinned: false
license: mit
short_description: Browse meta-reasoning trajectories (midtrain + eval)
---

# TCS Trace Viewer

A static viewer for meta-reasoning trajectories. It renders, with one UI, both
**Midtrain V3** scout trajectories assembled from an SFT JSONL (e.g.
[`HerrHruby/MR_midtrain_v3_sft_core`](https://huggingface.co/datasets/HerrHruby/MR_midtrain_v3_sft_core))
and **eval rollouts** (IMO / SODA) from `inference.mrv3.run_dual`, the latter
carrying judge scores, a bench label, and the termination reason.

For each trajectory it shows the **problem** and, per layer:

- the **assembled frontier** the planner consumed (the exact `Exploration so far:`
  context the MR target was generated from),
- the **directions chosen** at that layer,
- the **planner CoT**, the **execution traces** (CoT + finding), the per-execution
  **summaries** (summary / rationale / core result),
- and the synthesized **final answers** with judge scores and coverage.

Use the sidebar to filter and switch between trajectories; the toggles in the top
bar control which views are shown.

This Space bundles the pre-built trajectory index (`data/`) so it is fully
self-contained — no external data fetch at runtime. Math renders with KaTeX and
prose with marked, both vendored locally under `vendor/`.

To regenerate or extend the index, see `build_index.py` (midtrain SFT) and
`build_eval_index.py` (eval rollouts) in the source repo.