Wiring Android's WorkManager to a Quantized On-Device LLM for Background Summarization

How to schedule and execute quantized LLM inference (GGUF/TFLite) inside WorkManager's process boundaries — covering doze-mode constraints, foreground service promotion for large models, chained work for chunked summarization, and the OOM threshold that separates INT4 from INT8 model selection on mid-range devices