Literature-backed novelty analysis

Is your research idea actually new?

Get a clear 1–5 novelty score, a reasoned review of your contribution, and the relevant papers used for comparison.

Analyze your research
Clear 1–5 score Closest prior work Review and limitations
SAMPLE NOVELTY AUDIT

Geometry-conditioned molecular linker generation

Complete
Estimated novelty
4/5
Overall findingNovel

The controlled representation comparison appears new, while the geometry-aware method has recognizable precedent.

12papers
3key precedents
Mediumconfidence
Why it earned a 4Review excerpt

The proposal introduces a controlled comparison across three molecular representations that no reviewed paper presents directly. Its core generation method is not entirely new, but the combined experimental design creates a distinct contribution beyond routine variation.

Closest prior work1 of 10 papers shown
3D-aware molecular generation with spatial constraintsChen et al. · 2024

Direct precedent for geometry-conditioned molecular generation.

84%
WHAT YOUR REPORT INCLUDES

Enough detail to make a decision—organized so you can scan the answer first and inspect the evidence when you need it.

1–5 novelty score

Get a consistent verdict from not novel to highly novel.

Closest prior work

Find the papers most likely to challenge your novelty.

Reasoned review

Understand which aspects strengthen or weaken the score.

AI limitations

See uncertainty clearly and verify important findings yourself.

HOW IT WORKS

One input. One clear research audit.

01

Enter your research idea

Describe the contribution you want to evaluate.

02

Compare published research

Relevant literature is found, ranked, and reviewed.

03

Read the novelty report

Review the 1–5 score, reasoning, and relevant papers.

BUILT FOR CAREFUL RESEARCH

Evidence first. Score second.

Novelty Scan uses AI to estimate novelty from retrieved literature. Results may miss relevant work, so verify the cited papers and important conclusions independently.

Start an analysis
Novelty Scan — Research novelty, explained