# Badtheorylabs/interference-search

> A search method that reasons over explicit states instead of a language model's linear transcript: many branches expand at once, duplicates merge, dead ends are dropped by a trained judge, and survivors advance together. The repo ships the code, the trained judge, raw results and a research log.

- Magnitude: 4.7 out of 10 — Early signal
- Stars: 94 total · +0 stars today, ≈ 90 by evening
- Star trust: star growth looks organic
- Category: Language models · Language: Python · License: Apache-2.0 · Created: 2026-09-25 · Last push: 2026-09-25
- GitHub: https://github.com/Badtheorylabs/interference-search · Page: https://gitnova.dev/en/r/Badtheorylabs/interference-search

## Useful for

- Run Countdown search on CPU and compare step counts against Qwen3-1.7B reasoning in text
- Train the judge on four- and five-number problems and test it on seven-number ones
- Reproduce the numbers in paper/CLAIMS.md using the listed files and commands

## Why it’s here

- 0 stars so far today, about 90 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 1 day old and already has 94 stars. With less than two weeks of history, there's no usual pace to compare the spike against yet.
- Top new repositories this week: #128.

## Star trust

Star growth looks organic.

Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer.

## Numbers

- Forks: 3
- Issues and pull requests: 0
- Watchers: 0
- Average over the last week: 92 per day
- Usual pace: too little history (under two weeks)
- Stars in the last hour (measured): 4

## Stars per day, last 7 days (oldest → newest, today is partial)

2026-09-20 … 2026-09-26: 0, 0, 0, 0, 0, 94, 0

## Magnitude by day, last 2 days

09-25 4.7, 09-26 4.7

## Spotted in now

- Top new repositories this week: #128

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Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score.
Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast.
Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself.
Data as of 2026-09-26 00:28 UTC, updated every 30 minutes.