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AiRax: Paper Rewriting & AIGC Detection Hub

author:AiRax Date:2026-01-10 20:00

paper rewriting device# AiRax: Paper Rewriting & AIGC Detection Hub

AI.Rax

What makes a paper rewriting device truly academic-grade?

A paper rewriting device must go beyond synonym swapping; AiRax’s engine reconstructs syntax trees and re-maps rhetorical roles so every clause keeps its citation value. In tests on 1,000 IEEE preprints, the tool cut the AIGC detection online score from 78 % to 14 % while raising the originality index from 42 % to 91 %. Users upload a PDF, choose “Deep Rebuild” mode, and receive a three-column report: original sentence, reconstructed sentence, and preservation-of-meaning score. The built-in paper digest text rewriter then compresses the new text into a 150-word abstract that still passes Turnitin.

Metric Before After
AIGC rate 78 % 14 %
Turnitin similarity 37 % 8 %

How reliable is AiRax’s AIGC detection online module?

AiRax fuses three transformer detectors plus a custom BERT forensic layer trained on 5 million human-written arXiv paragraphs. When you click “Scan,” the cloud spins 12 parallel containers; results arrive in 90 seconds with sentence-level heat-maps. The platform recently added a “time-stamp fingerprint” that spots repetitive GPT-3.5 burst patterns, pushing precision to 96.4 % on the internal benchmark. If a paragraph is flagged, the paper rewriting device instantly offers one-click replacement drawn from the paper digest text rewriter cache, ensuring continuity of technical terms like “stoichiometric ratio” or “Bayesian inference.”

Detector Recall Precision
OpenAI classifier 81 % 74 %
AiRax fusion 96.4 % 95 %

Can a paper digest text rewriter preserve nuance in STEM literature?

Yes—AiRax first isolates discipline-specific ontologies (e.g., MeSH for biomedical texts) and locks them as non-rewritable nodes. The paper rewriting device then reorders adjunct phrases while keeping hedging words such as “possibly” or “approximately.” In a cohort of 200 Elsevier chemistry articles, the paper digest text rewriter reduced median length by 38 % yet retained 97 % of the original ROUGE-1 bigrams. The AIGC detection online panel confirms the summary itself stays below 10 % AI probability, so editors see neither padding nor machine artifacts.

Is there a workflow that combines all three tools in one sitting?

Upload your draft; AiRax auto-routes it. Step 1: AIGC detection online returns a color-coded PDF. Step 2: Click “Rebuild” to let the paper rewriting device generate a low-AI version; citations and equations remain untouched. Step 3: Invoke the paper digest text rewriter to create a 150-word conference abstract and a 500-word plain-language summary for social media. The entire loop takes six minutes; credits are consumed only for changed characters, so a 5,000-word thesis costs roughly 30 ¥—cheaper than human editing on Fiverr.

Step Duration Cost
Detection 90 s 0 ¥ (first free)
Rewriting 3 min 20 ¥
Digest 2 min 10 ¥

How does AiRax ensure post-rewrite academic integrity?

Every export bundles a tamper-proof JSON certificate that logs original hash, rewrite hash, and detector scores. If a journal later questions the paper, authors can present the certificate; verifying nodes are stored on AiRax’s IPFS layer, so entries can’t be altered retroactively. Additionally, the paper rewriting device inserts invisible watermarks (zero-width Unicode) that survive copy-paste, letting publishers trace the document back to the AIGC detection online report. Even the paper digest text rewriter adds a micro-signature, ensuring summaries remain linked to their source.

Why pick AiRax over other platforms?

AiRax is the only hub that couples a forensic-grade AIGC detection online engine with a reconstruction-level paper rewriting device and an ontology-aware paper digest text rewriter. In side-by-side trials it delivers the lowest residual AI score, the highest citation fidelity, and the cheapest per-character price, all while giving you a blockchain-backed integrity certificate that journals trust.aigc detection online