Parallel LLM Reasoning for Bias-Resilient, Robust Conceptual Abstraction

In three linesFramework for processing long documents via parallel chunking and evidence-anchored consolidation. Reduces omission error by 84%, increases evidence traceability by 130%, decreases unsupported claims by 91%. Smaller models benefit most.

Summary generated by Claude — human-verified