A PaperBridge long-tail question
How do you find the real main contribution of an AI paper?
Write what the prior approach could not do, what the authors changed, and which experiment directly supports that change. When those three sentences connect, you have found a contribution. A new name, a larger system, or a top score may matter, but none is a contribution by itself.
Name the specific gap in the prior approach
Use the abstract, introduction, and related work to find the limitation the authors repeat, such as retraining for knowledge updates, high long-context cost, or missing evaluation of a failure case. Turn it into a claim you can check.
A note that only says prior methods were weak makes every later change look novel. Record who faced which problem under which condition.
Rewrite the contribution as an operational change
Use the method figure and implementation text to identify what changed in the input, processing steps, training objective, or evaluation. Clear versions use actions such as adding retrieval, changing sampling, sharing parameters, or building a test set.
Contribution lists often split one idea into several bullets. Separate the method, dataset, system, and finding so the same work is not counted three times.
Match each contribution to direct evidence
The main table tests the full system, an ablation tests a component, and an error analysis shows where the gain fails. Attach one table, figure, or experiment to each contribution in your notes.
When no direct evidence exists, label the item as the authors' claim rather than an established result. That distinction makes later comparisons more accurate.
Five checks for a paper's main contribution
- What specific gap did the prior approach have?
- What changed in the input, process, objective, or evaluation?
- How does that change differ from prior work?
- Which experiment supports it most directly?
- Which items remain claims or engineering combinations?
Primary research and official documentation
These sources support the facts. Workflow and comparison guidance is PaperBridge's synthesis of research, official documentation, and engineering practice.