{"data":{"full_name":"VARUN3WARE/pplm-watermark","name":"pplm-watermark","description":"A research implementation of statistical text watermarking for large language models using Plug and Play Language Models (PPLM). This system enables detectable watermark embedding through direct logit perturbation during inference without modifying the base model weights.","stars":0.0,"forks":0.0,"language":"Python","license":"MIT","archived":0.0,"subcategory":"llm-training-experimentation","last_pushed_at":"2026-02-17T18:31:18+00:00","pypi_package":null,"npm_package":null,"downloads_monthly":0.0,"dependency_count":0.0,"commits_30d":null,"reverse_dep_count":0.0,"maintenance_score":10.0,"adoption_score":0.0,"maturity_score":11.0,"community_score":0.0,"quality_score":21.0,"quality_tier":"experimental","risk_flags":"['no_package', 'no_dependents']"},"meta":{"timestamp":"2026-04-14T02:28:07.444704+00:00"}}