RRepoGEO

REPOGEO REPORT · LITE

yyyujintang/Awesome-Mamba-Papers

Default branch main · commit b5823317 · scanned 5/29/2026, 3:58:25 PM

GitHub: 1,399 stars · 74 forks

AI VISIBILITY SCORE
17 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
1 / 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 yyyujintang/Awesome-Mamba-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
  • hightopics#1
    Add specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    awesome-list, mamba, state-space-models, deep-learning-papers, research-papers, machine-learning, artificial-intelligence
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, for example, using the MIT License, to clarify usage rights for the list content.
  • mediumreadme#3
    Refine README's opening to emphasize 'Awesome List' and curation

    Why:

    CURRENT
    # Awesome-Mamba-Papers

This repository compiles a list of papers related to Mamba and SSM.
    COPY-PASTE FIX
    # Awesome-Mamba-Papers

This is an awesome list, a curated and continually updated collection of papers related to Mamba and State Space Models (SSM).

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 yyyujintang/Awesome-Mamba-Papers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Mamba
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Mamba · recommended 1×
  2. Mamba-2 · recommended 1×
  3. Vision Mamba · recommended 1×
  4. Jamba · recommended 1×
  5. S4 · recommended 1×
  • CATEGORY QUERY
    Looking for recent research on state space models and their applications in deep learning.
    you: not recommended
    AI recommended (in order):
    1. Mamba
    2. Mamba-2
    3. Vision Mamba
    4. Jamba
    5. S4
    6. S4D
    7. S5
    8. DSS
    9. Hyena Hierarchy
    10. LSSL
    11. DreamerV3

    AI recommended 11 alternatives but never named yyyujintang/Awesome-Mamba-Papers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need to explore recent developments and papers on Mamba-like neural network architectures.
    you: not recommended
    AI recommended (in order):
    1. arXiv.org
    2. Papers With Code
    3. Hugging Face
    4. Google Scholar
    5. GitHub
    6. Twitter/X

    AI recommended 6 alternatives but never named yyyujintang/Awesome-Mamba-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
    fail

    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 yyyujintang/Awesome-Mamba-Papers?
    pass
    AI did not name yyyujintang/Awesome-Mamba-Papers — likely talking about a different project

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

  • If a team adopts yyyujintang/Awesome-Mamba-Papers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named yyyujintang/Awesome-Mamba-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 yyyujintang/Awesome-Mamba-Papers solve, and who is the primary audience?
    pass
    AI did not name yyyujintang/Awesome-Mamba-Papers — likely talking about a different project

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

Embed your GEO score

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yyyujintang/Awesome-Mamba-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