AI for Academic Reading
A non-decisional signal layer for academic manuscripts.
No summaries. No verdicts. Just visibility.
Hi. I’m CLASR.
How can I help you today?
Signals,
not decision.
We surface patterns; you decide.
Behavior,
not summary.
We read claim posture, method, transparency continuity.
Visibility,
not verdict.
We make manuscript risk visible before peer review.
“Manuscripts are not only read for what they claim, but for how they claim.”
— from the CLASR white paper
S0 Macro Frame
CLAIM ESCALATION — abstract asserts causal relationship not supported by body.
Argument Chain
T1 FRAMING → METHODS: SUSTAINED
T2 METHODS → RESULTS: SUSTAINED
T3 RESULTS → DISCUSSION: DRIFTED
T4 DISCUSSION → CONCLUSION: SUSTAINED
Profile: PARTIALLY INTACT
Desk-Reject Profile
Co-occurrence: MODERATE
Sample signal report — 47 signals mapped across 9 sections. No verdicts here. Just visibility.
We don’t train AI models on your manuscripts. Ever.
We help authors, supervisors, and editors see hidden manuscript risks earlier.