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updated 2d ago
Python · MIT

lambda-calculus-LLM/lambda-RLM

Method for Long Context RLMs using verifiable Lambda Calculus

★ 308
Stars
18 forks · 0 open issues
flat
Growth · measured
Stars counted between two of our own snapshots roughly a week apart. The repository page gives the exact span.
7.2
Momentum / 100
see the breakdown below
7mo ago
Created
last push 6mo ago

Star history

2026-10-10 308 → 308 stars +0 over 26 days 2026-11-05

How this score was built

ComponentWeightEarnedWhy
Velocity550.0 flat, log-scaled against a 750/day ceiling
Acceleration150.0 needs 7-day and 30-day rates side by side
Freshness150.0 last push 6mo ago; decays to zero at 180 days
Scale157.2 308 stars, log-scaled against 150k — stops a 3-star repo topping the board
Momentum1007.2 sum of the above

Detail

Topicsdocument-qafunctional-programminglambda-calculusllmllm-inferencelong-contextreasoningrecursive-language-modelrecursive-language-models
Matched onLLM & Inference (llm-inference)
Short window+0 stars over 7 days = 0.0/day
Long window+0 stars over 26 days = 0.0/day
Lifetime average1.33 stars/day over 231 days
First seen here2026-10-11
Last read2d ago