Key contributions:
- Infinite Grievance Memory™ with O(1) retrieval and zero decay rate - Subtext Attention Mechanism that attends to what was NOT said - "You Should Know Why" solver using Guilt-Weighted Retrospective Search - Partner-Specific Fine-Tuning on your SO's message history - MoodNet classifier for availability prediction
Achieves 94.7% accuracy on the "It's Fine" Benchmark vs 14.7% male human baseline. Paper includes ablation studies, architecture diagrams, and a failure cases section noting that "Where Do You Want To Eat?" remains NP-hard.
License: MIT (Marriage Is Tough)