ai_detect_for_sanqian

To lower the AIGC detection rate, you must scan paragraphs for AI fingerprint traits and rewrite only the flagged sections using wording replacement, sentence burstiness injection, and structural reorganization.

Yes, thesis-safe rewriting enforces a strict no-fabrication constraint, ensuring expression changes improve human-like text patterns while preserving the original technical meaning, data, and citations.

Sentence burstiness injection alters text perplexity and structural patterns, disrupting uniform AI writing traits so the rewritten paragraphs achieve a more human-like flow to evade ViP AIGC detection.

The best way to fix flagged purple paragraphs is a stepwise progressive rewrite, prioritizing from ViP reports to apply targeted wording replacement and structural reorganization until the detection rate drops below your target value.

Yes, the detection and iterative multi-round rewriting workflow applies to undergraduate, master’s, and journal submission writing tasks, diagnosing AI fingerprints and applying a five-question per-paragraph validation to prevent fabricated claims.

AIGC detection persists if only wording is replaced, because ViP evaluates perplexity and structural patterns, requiring subsequent sentence burstiness injection and structural reorganization to fully remove AI fingerprints.