ScholaRef Documentation

What It Does

• Runs a complete multi-stage pipeline from OCR to revised manuscript output.
• Provides role-based post-run chat with specialized participants.
• Stores session progress and supports report/revised-draft export workflows.

How To Run It

1. Open War Room and upload a manuscript PDF.
2. Wait for OCR and pipeline stages to complete.
3. Review stage cards (journals, reviewers, keywords, novelty, references, abstract, review, revised draft).
4. Open Chat and mention a participant with @ for targeted follow-up.

Outputs You Get

• Venue/journal/publisher guidance and evidence.
• Reviewer candidate suggestions and rationale.
• Novelty and overlap diagnostics.
• Structured references and revised draft artifacts.

Usage Notes

• Pipeline run cost: 8 tokens.
• Chat question cost: 1 token each.
• For best results, upload your latest full draft, including references.

Primary Purpose

• Detect high-impact weaknesses before formal submission.
• Convert broad critique into actionable fixes.
• Support revision planning with clearer priority ordering.

How To Run

1. Open Deep Review and upload your paper.
2. Start analysis and monitor progress.
3. Read final reviewer-style output and issue summaries.
4. Export the report for internal lab/supervisor review.

Output Structure

• Quality signals and risk indicators.
• Strengths, weaknesses, and recommended changes.
• A submission-readiness perspective you can iterate against.

Cost & Tips

• Cost: 6 tokens per analysis run.
• Use after major draft milestones (not only at final version).
• Treat repeated findings as high-priority revision targets.

What You Can Do

• Search and compare journals, authors, papers, publishers, and institutions.
• Inspect statistics, rankings, and entity-level detail panels.
• Use Academic Copilot for natural-language exploration.

How To Use Effectively

1. Start from the entity type aligned with your decision (venue, reviewer, or prior work).
2. Apply filters and sort controls to narrow scope.
3. Use compare views before finalizing venue/reviewer choices.
4. Capture key evidence and feed it back into War Room/Deep Review decisions.

Copilot Note

• Academic Copilot prompts are token-based.
• Cost: 1 token per prompt.
• Use concise, scoped prompts for more precise results.

How To Run

1. Open AI Detector and either paste text or upload a PDF.
2. For PDFs, wait for OCR extraction to complete.
3. Start analysis and review AI probability, verdict, and confidence.
4. Inspect model-attribution indicators and revise flagged passages where needed.

Best Use Cases

• Pre-submission checks for text authenticity risk.
• Internal QA before sharing drafts with supervisors or co-authors.
• Section-level checks after heavy rewriting or AI-assisted drafting.

How To Interpret

• Use the probability as a signal, not a final truth label.
• High-probability sections should be reviewed and rewritten in your own voice.
• Re-run after edits to verify improvement.

Cost & Input Rules

• Cost: 1 token per analysis.
• Minimum text length: 50 characters for reliable analysis.
• Works with both pasted text and OCR-extracted PDF content.

Core Workflow

1. Upload a PDF manuscript.
2. Run extraction.
3. Review references in card/table view.
4. Verify and export in your preferred format.

Why It Matters

• Catches malformed bibliography entries before submission.
• Improves metadata completeness (authors/title/venue/year/DOI).
• Reduces editorial friction related to reference formatting quality.

Cost

• 1 token per run.
• Use this near your final draft stage and before submission upload.

How To Run

1. Upload your manuscript.
2. Run novelty analysis.
3. Inspect similarity bands and related-paper evidence.
4. Revise framing where overlap is highest.

How To Interpret

• High overlap does not always mean low novelty, but it signals areas needing stronger distinction.
• Use overlap hotspots to refine contribution statements and prior-work positioning.
• Re-run after major reframing to measure improvement.

Cost

• 1 token per analysis.

What It Produces

• Structured reviewer-style feedback.
• Typical recommendation patterns (accept/minor/major-revision style framing).
• Actionable weaknesses and revision prompts.

How To Use

1. Run after your draft is technically complete.
2. Compare findings with Deep Review and War Room outputs.
3. Prioritize fixes that appear across multiple tools.

Cost

• 1 token per run.

Recommended Usage

1. Run after your manuscript title/abstract/keywords are reasonably stable.
2. Review the 5 AI-recommended journals and their reasons.
3. Validate shortlisted options in Academia before final selection.

Output Value

• AI-curated list of 5 best-fit journals.
• Reason for each recommendation.
• Subject area context for each journal.

Cost

• 1 token per run.

What You Get

• Keyword extraction for indexing and search fit.
• Multiple abstract drafts for iteration.
• A fast polishing loop before submission.

How To Run

1. Upload your manuscript PDF.
2. Generate keywords first.
3. Generate and compare abstract variants.
4. Keep one baseline and refine manually for final narrative consistency.

Cost

• 1 token per run.

Typical Workflow

1. Paste target sections (or upload PDF text) into the editor.
2. Run grammar check.
3. Review issue categories and suggested fixes.
4. Apply final manual edits in your source manuscript.

When To Use It

• After structural and scientific revisions are already complete.
• Before final formatting and submission package assembly.

Cost

• No token cost.

Signup Requirements

• Valid email address.
• Unique username.
• Password with at least 8 characters, one uppercase letter, and one symbol.
• Terms and Privacy consent.

Signin Flow

1. Go to Sign In.
2. Enter username and password.
3. You are redirected to your active workspace (typically War Room).

Password Recovery

• Use /forgot-password to request reset.
• Reset links are time-limited for security.
• Set a new valid password and sign in again.

How To Submit a High-Quality Report

1. State expected behavior and actual behavior clearly.
2. Include exact steps to reproduce.
3. Attach a screenshot where possible.
4. Submit with context (feature/page/path and approximate time).

Screenshot Constraints

• Accepted: PNG, JPG, JPEG, WEBP, GIF.
• Max file size: 5 MB.

Reward Policy

• Valid, actionable reports may receive token compensation.
• Current default reward shown in-app is 10 tokens for approved cases.

What You Can Manage

• Basic profile identity and public profile settings.
• Saved Deep Review and War Room outputs.
• Usage analytics and token consumption summaries.
• Notification preferences and alert cadence.

Best Practices

• Review usage analytics weekly to optimize token spend.
• Keep notification settings aligned with active writing phases.
• Use saved reports as baseline checkpoints between major revisions.

Token Management Workflow

1. Check your current balance in navbar/profile.
2. Open Profile Billing and choose a package.
3. Complete checkout.
4. Confirm balance update in your account.

Optimization Tips

• Use free tools (like Grammar Checker) for final polishing stages.
• Run high-cost analyses after meaningful draft changes, not every minor edit.
• Bundle decisions so each paid run answers multiple questions.

How It Works

1. Create an invitation from Profile.
2. Invitee receives link and registers with the invited email.
3. When accepted successfully, referral rewards are granted.

Current Limits & Rewards

• Maximum invitations per account: 10.
• Default reward: 5 tokens for inviter and 5 for invitee on successful acceptance.

Operational Tips

• Track invitation status (pending/accepted/revoked) in Profile.
• Use resend for pending invitations and revoke stale ones.
• Coordinate with teammates so they sign up via the exact invite link.