paper-analyzer

To perform causal-chain analysis, provide an arXiv ID, URL, or paper title. The tool extracts the experimental setup, attribution, and solution to map the motivation and evidence structure, generating a structured analytical report.

To evaluate research paper claims against your hypothesis, provide your custom hypothesis during the request. The analysis maps the paper's evidence structure and compares it directly against your defined hypothesis to highlight logical gaps.

Yes, you can extract specific numbers and metrics from academic papers. The tool collects precise metrics and denominators from tables and figures to enable clear comparison and support reproducibility checks.

Yes, NotebookLM access is required. The workflow guides you in linking papers to NotebookLM sources, enabling evidence-backed Q&A and mapping references to generate the step-by-step causal-chain analysis.

Critical reading goes beyond a standard summary by dissecting the paper's motivation and core claims. It maps the causal chain to expose logical gaps between what the paper shows and what it claims, delivering a structured analysis.

To start a deep-dive analysis, provide an arXiv ID, URL, or title. Optionally include references and a user-defined hypothesis to map the research framework and evaluate the paper's claims against your specific inputs.