RRepoGEO

REPOGEO REPORT · LITE

greatzh/Papers

Default branch main · commit 1a53a587 · scanned 6/4/2026, 2:47:59 PM

GitHub: 556 stars · 49 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface greatzh/Papers, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Clarify README's opening to emphasize 'curated paper list'

    Why:

    COPY-PASTE FIX
    This repository is a personally curated and annotated reading list of deep learning papers, primarily focused on image forgery detection and localization. It serves as a comprehensive collection for researchers and students in media forensics and computer vision.
  • highlicense#2
    Add a LICENSE file to clarify usage rights

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a LICENSE file (e.g., CC-BY-4.0 for content, or MIT/Apache-2.0 for code) in the repository root to clearly state how others can use and contribute to this paper list.
  • mediumtopics#3
    Add 'paper-list' and 'research-papers' to topics

    Why:

    CURRENT
    copy-move-image-forgery-detection, image-forensics, image-forgery-detection, image-manipulation, image-processing, image-splicing-forgery-detection, image-tampering-detection, media-forensics
    COPY-PASTE FIX
    copy-move-image-forgery-detection, image-forensics, image-forgery-detection, image-manipulation, image-processing, image-splicing-forgery-detection, image-tampering-detection, media-forensics, paper-list, research-papers

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface greatzh/Papers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CVPR
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. CVPR · recommended 2×
  2. FotoForensics · recommended 1×
  3. Forensically · recommended 1×
  4. Adobe Photoshop · recommended 1×
  5. GIMP · recommended 1×
  • CATEGORY QUERY
    How to identify if an image has been tampered with or digitally altered?
    you: not recommended
    AI recommended (in order):
    1. FotoForensics
    2. Forensically
    3. Adobe Photoshop
    4. GIMP
    5. ExifTool
    6. Amped Authenticate
    7. JPEGsnoop

    AI recommended 7 alternatives but never named greatzh/Papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find recent deep learning research papers on image manipulation detection?
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Google Scholar
    3. Papers With Code
    4. IEEE Xplore Digital Library
    5. ACM Digital Library
    6. CVPR
    7. ICCV
    8. ECCV
    9. NeurIPS
    10. ICML
    11. Kaggle
    12. YouTube
    13. Two Minute Papers
    14. Lex Fridman Podcast
    15. CVPR

    AI recommended 15 alternatives but never named greatzh/Papers. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of greatzh/Papers?
    pass
    AI named greatzh/Papers explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts greatzh/Papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named greatzh/Papers explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo greatzh/Papers solve, and who is the primary audience?
    pass
    AI named greatzh/Papers explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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greatzh/Papers — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite