Large Language Models reflect the weightings of their training data – those overrepresented in it, which perspectives are treated as standard, and which viewpoints are absent shape every output of the model.
FlowTracer assigns credit to tokens based on their measured information throughput in the attention graph rather than treating all equally, yielding consistent performance gains in reasoning tasks.
