과학 논문 AI 동료 심사

Upload your manuscript for source-linked scientific feedback, a literature check, and actionable revision suggestions.

AI 기반 종합 과학 원고 분석

PeerReviewerAI는 첨단 인공지능을 활용하여 연구 논문, 학위 논문, 박사 논문 및 학술 원고에 대한 심층 동료 심사를 제공합니다. 자동화된 동료 심사 시스템은 6가지 범주의 오류를 감지하고, 과학적 방법론을 평가하며, 실행 가능한 피드백을 제공합니다 — 몇 주가 아닌 몇 분 만에.

기능

Error Detection Categories

심층 과학적 평가

A structured assessment of the manuscript, its evidence, and useful next revisions.

Review in 10+ Languages

Feedback follows the manuscript language. Language alone does not determine a journal style guide.

이용 방법

  1. 논문 업로드: Upload DOCX, PDF, TXT, DOC, ODT or RTF.
  2. Start your review: Your first review is free, with no card or checkout. Later reviews show the price before analysis.
  3. Follow the agents: See source retrieval, manuscript analysis, finding verification and document preparation as they happen.
  4. Read and download: Read the literature review and scientific findings, then download the report and annotated manuscript.

자주 묻는 질문

AI 동료 심사는 어떻게 작동하나요?

A literature reviewer gathers and compares sources, a scientific reviewer drafts anchored findings, a verifier checks them, and an editorial agent synthesizes the result. Their stages and findings appear in a live activity log.

어떤 유형의 학술 논문을 심사할 수 있나요?

우리 서비스는 STEM, 사회과학, 인문학, 의학, 공학을 포함한 모든 학문 분야의 연구 논문, 학술지 논문, 학회 논문, 석사 논문, 박사 논문, 문헌 검토, 사례 연구, 기술 보고서를 처리합니다.

AI 분석의 정확도는 어느 정도인가요?

Findings are checked against the manuscript and retrieved sources, with uncertain issues marked explicitly. This process can still miss problems or make incorrect judgments; the sample shows its actual output and evidence.

Does language determine the journal standard?

No. Review language is detected automatically, but a journal style guide cannot be inferred from it. The current review focuses on scientific arguments, evidence, structure and language.

심사에 얼마나 걸리나요?

Time depends on manuscript length, literature retrieval and the verification passes. Progress is shown during analysis.

심사를 다운로드할 수 있나요?

Yes. Download the full report as DOCX and your annotated manuscript in its uploaded format: DOCX, PDF, TXT, DOC, ODT or RTF. PDF uses comments on the original pages; DOCX uses tracked changes. Legacy office conversion can change layout. Apple Pages files must first be exported.

연구 논문을 개선할 준비가 되셨나요?

지금 원고를 업로드하고 오류 감지, 방법론 평가, 전문가 추천이 포함된 상세한 AI 동료 심사를 몇 분 만에 받아보세요.

과학 논문 AI 동료 심사

Upload your manuscript for source-linked scientific feedback, a literature check, and actionable revision suggestions.

시작하기

First full review free · no card required

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기능

Scientific feedback with sources, verification and edits you can inspect.

01

빠른 분석

며칠 기다리는 대신 몇 분 안에 심사 완료

02

10개 이상의 언어

Review in the language of your manuscript

03

6 Review Categories

논리, 산술, 맞춤법, 구두점, 표, 문체

04

Your annotated manuscript

Get comments and suggested changes in the format you uploaded

AI 기반 종합 과학 원고 분석

PeerReviewerAI는 첨단 인공지능을 활용하여 연구 논문, 학위 논문, 박사 논문 및 학술 원고에 대한 심층 동료 심사를 제공합니다. 자동화된 동료 심사 시스템은 6가지 범주의 오류를 감지하고, 과학적 방법론을 평가하며, 실행 가능한 피드백을 제공합니다 — 몇 주가 아닌 몇 분 만에.

Six review categories

논리적 오류

논리적 비약, 근거 없는 주장, 순환 논법, 데이터와 결론 사이의 모순, 증거 없는 논거를 감지합니다.

산술적 오류

Flags numerical inconsistencies for review. Mathematical and statistical claims may need independent calculation.

맞춤법 오류

Suggests corrections to clear language errors while preserving scientific notation.

구두점 및 문법

쉼표, 세미콜론, 콜론, 인용 부호, 괄호 사용법과 학술 글쓰기에 대한 언어별 문법 규칙을 분석합니다.

표 및 그림 오류

Examines available table content and PDF figures; embedded DOCX objects may need manual inspection.

문체 문제

과학적 문체의 일관성, 수동태 사용, 용어 통일성, 동어 반복, 중복 표현 및 전반적인 학술적 어조를 평가합니다.

심층 과학적 평가

A structured assessment of the manuscript, its evidence, and useful next revisions.

I

신규성 평가

Compares the contribution with selected primary sources and distinguishes prior work from later developments.

II

관련성 평가

연구 주제의 시의성, 과학 커뮤니티에 대한 실용적 및 이론적 중요성을 분석합니다.

III

구조 평가

표준 학술 구조 준수 여부를 확인합니다: 서론, 문헌 검토, 연구 방법, 결과, 논의, 결론.

IV

방법론 평가

방법의 적절성, 실험 설계의 정확성, 표본 충분성, 재현 가능성 및 연구 한계를 검토합니다.

V

종합 요약

논문의 주제, 연구 목표, 사용된 방법, 주요 결과 및 결론을 포괄하는 상세한 요약을 생성합니다.

VI

Revision Advice

Prioritizes changes for the author, with reasons and unresolved questions.

Review in 10+ Languages

Feedback follows the manuscript language. Language alone does not determine a journal style guide.

형식.docx.pdf.txt.doc.odt.rtf

PDF review: up to 20 MB and 100 pages. DOCX/TXT uploads: up to 200 MB, subject to the analysis budget. Oversized documents are not silently shortened.

English

EN

Deutsch

DE

Français

FR

Español

ES

Italiano

IT

Português

PT

Türkçe

TR

Nederlands

NL

Svenska

SV

Polski

PL

Four agents, one grounded review

Each agent has a specific task. You can follow their actual progress and inspect the sources and reasons behind the final advice.

01

Literature reviewer

Finds primary research and companion papers, reads available full texts and writes a dedicated comparison with prior work. Later developments are identified separately.

02

Scientific reviewer

Examines the manuscript’s arguments, methodology, numerical claims and language. Each candidate finding must point to an exact source passage.

03

Finding verifier

Checks candidates against the manuscript and retrieved sources. Unsupported findings are removed; uncertain findings are marked for further review.

04

Editorial synthesizer

Builds the final assessment from retained findings and prioritizes revisions. The export step adds comments and supported language changes to your manuscript.

Agents perform separate stages of the review. Their agreement is not independent experimental or mathematical proof.

Your manuscript, returned in its format

DOCX → tracked changes and comments. PDF → highlights and comments on the original pages. TXT → inline review notes. DOC, ODT and RTF → annotated output in the same format through office conversion; check layout after download. For Apple Pages, export to a supported format first.

이용 방법

01

논문 업로드

Upload DOCX, PDF, TXT, DOC, ODT or RTF.

02

Start your review

Your first review is free, with no card or checkout. Later reviews show the price before analysis.

03

Follow the agents

See source retrieval, manuscript analysis, finding verification and document preparation as they happen.

04

Read and download

Read the literature review and scientific findings, then download the report and annotated manuscript.

Sample Review: Susskind et al.

A fresh review of “Complexity Equals Action” (arXiv v3) by Brown, Roberts, Susskind, Swingle, and Zhao, generated by our updated system. Read the findings, evidence, and review limitations below. This is a retrospective analysis of a published paper, not a Physical Review Letters editorial decision.

AI peer review · retrospective sample

“Complexity Equals Action”

Adam R. Brown; Daniel A. Roberts; Leonard Susskind; Brian Swingle; Ying Zhao

AI recommendation to the author: revise

arXiv:1509.07876v3 · 10 May 2016 · 2026-09-18 (UTC)

Original PDF supplied to the review and verification passes. Targeted literature retrieval and companion-paper reading included; sources are listed below. Retained findings are shown with their evidence.

“Supported” identifies findings retained after the verification pass. The assessment is revision advice for the author.

Download the complete review and run metadata (JSON)

Your review at a glance

Start with the assessment, then explore the evidence and next steps.

6
findings
0
need verification
6
sources

Overall assessment

The manuscript contains an original and highly relevant conjecture supported by a substantial companion analysis. The requested revisions do not require expanding the letter into a full technical paper. They principally require sharpening the novelty claim, specifying the conventional status of the complexity normalization, limiting Lloyd-bound and dimensional statements to the regimes actually examined, and presenting charged hair as a proposed rather than demonstrated resolution.

Read the full analysis (1 more passages)

With these scope and wording corrections, the letter would give a more accurate and compelling account of the evidence for CA duality.

What the paper does

This short letter proposes the complexity–action (CA) conjecture, C=A_WDW/(πℏ), identifying holographic state complexity with the on-shell action of the corresponding Wheeler–DeWitt patch. It presents late-time tests for neutral, rotating, and charged AdS black holes, together with perturbative tests involving static shells and shock waves. Its strongest result is the universal late-time neutral-black-hole rate dA/d(t_L+t_R)=2M, independent of horizon size and spacetime dimension.

Read the full analysis (1 more passages)

The cited companion paper supplies the detailed calculations intentionally omitted from the letter, including the neutral, charged, rotating, shell, shock-wave, and tensor-network analyses [E1]. The central claims are important and suitable for a short conjecture letter, but several statements should be narrowed so that conventionally normalized, late-time evidence is not presented as an unrestricted theorem.

Novelty

The historical novelty is substantial but should be stated precisely. The general association between black-hole interior growth and complexity, the maximal-volume prescription, and the shock-wave/switchback benchmarks predate this manuscript [E2]. The new contribution is the replacement of maximal ERB volume by the action of the full WDW patch, eliminating the configuration-dependent auxiliary length scale and producing a universal late-time coefficient for neutral black holes [E1][E2].

Read the full analysis (1 more passages)

The claim that CA “subsumes” CV is stronger than demonstrated: the two are distinct bulk prescriptions that share scaling behavior and pass many of the same tests, rather than one being derived from the other. Later work on null-boundary actions, formation complexity, divergences, and complete time dependence provides retrospective qualification rather than contemporaneous prior art [E3][E4][E5][E6].

Methodology

The manuscript appropriately presents a conjecture supported by nontrivial semiclassical checks rather than claiming a derivation from boundary CFT complexity. The detailed action calculations delegated to [9] are present in the companion paper: they derive the arbitrary-dimensional neutral result, the four-dimensional charged result, the rotating BTZ result, static-shell time dilation, and single, multiple, finite-energy, and localized shock-wave behavior [E1].

Read the full analysis (3 more passages)

Thus, their omission from this short letter is not a methodological gap in the research program. The principal unresolved issue is the boundary definition of complexity: the numerical equality depends on the gate set, approximation tolerance, reference state, and continuum regulator, while the factor of π is a normalization convention [E1]. Accordingly, the results presently support a consistently normalized relative growth prescription, not a uniquely defined microscopic equality.

The neutral universality is established only at late times; the companion paper reports zero early-time action growth in the two-sided neutral case [E1], and later full-time analysis finds additional transient behavior [E6]. The rotating and charged calculations are dimension-specific—BTZ in 2+1 dimensions and charged black holes in 3+1 dimensions—so their extension to arbitrary dimension remains conjectural.

Finally, the large charged-black-hole discrepancy is not resolved quantitatively: hair is a plausible proposed explanation, but the companion paper’s superconducting analysis is qualitative rather than a complete hairy-WDW calculation [E1].

Relevance

The manuscript addresses a foundational problem in holography: how continuing black-hole interior growth may be encoded after ordinary boundary observables have equilibrated. The proposed relation connects quantum information, semiclassical gravity, tensor networks, and black-hole dynamics. The universal neutral result and the simpler treatment of shock-wave configurations make the proposal especially relevant.

Read the full analysis (1 more passages)

The “fastest computers” interpretation is potentially influential, provided it is consistently described as a conjectural, late-time conclusion for the semiclassical examples considered rather than as an all-time statement about all black holes.

Structure

The presentation is concise and generally effective for a short letter. Figures 1 and 2 clearly depict the relevant WDW patches for neutral/collapsing and charged geometries, respectively, and the progression from the conjecture to neutral, rotating, charged, shock-wave, and shell tests is coherent. The division of technical labor with the companion paper is legitimate, because that paper explicitly supplies the detailed derivations [E1].

Read the full analysis (1 more passages)

A brief roadmap to the companion paper would nevertheless make this division clearer. The prose requires two small corrections: delete the extra “be” in “good reasons to be believe,” and replace the awkward shock-wave sentence with a direct formulation such as “Both the complexity-volume duality of [3,7] and the complexity-action duality proposed here reproduce the matching of these two growths.”

자주 묻는 질문

AI 동료 심사는 어떻게 작동하나요?
A literature reviewer gathers and compares sources, a scientific reviewer drafts anchored findings, a verifier checks them, and an editorial agent synthesizes the result. Their stages and findings appear in a live activity log.
어떤 유형의 학술 논문을 심사할 수 있나요?
우리 서비스는 STEM, 사회과학, 인문학, 의학, 공학을 포함한 모든 학문 분야의 연구 논문, 학술지 논문, 학회 논문, 석사 논문, 박사 논문, 문헌 검토, 사례 연구, 기술 보고서를 처리합니다.
AI 분석의 정확도는 어느 정도인가요?
Findings are checked against the manuscript and retrieved sources, with uncertain issues marked explicitly. This process can still miss problems or make incorrect judgments; the sample shows its actual output and evidence.
Does language determine the journal standard?
No. Review language is detected automatically, but a journal style guide cannot be inferred from it. The current review focuses on scientific arguments, evidence, structure and language.
심사에 얼마나 걸리나요?
Time depends on manuscript length, literature retrieval and the verification passes. Progress is shown during analysis.
심사를 다운로드할 수 있나요?
Yes. Download the full report as DOCX and your annotated manuscript in its uploaded format: DOCX, PDF, TXT, DOC, ODT or RTF. PDF uses comments on the original pages; DOCX uses tracked changes. Legacy office conversion can change layout. Apple Pages files must first be exported.

연구 논문을 개선할 준비가 되셨나요?

지금 원고를 업로드하고 오류 감지, 방법론 평가, 전문가 추천이 포함된 상세한 AI 동료 심사를 몇 분 만에 받아보세요.

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