[P] Built a prototype to detect contradictions across research papers

Hi, We built a small prototype that tries to detect contradictions across research papers by comparing their underlying claims. The idea is simple: * Extract causal-style claims from papers (e.g., “X increases Y”) * Normalize concepts across different wording * Compare claims across papers to find conflicts (e.g., one paper says X increases Y, another says X decreases Y) Instead of relying on citations, it tries to surface disagreements directly at the claim level.