RRepoGEO

REPOGEO REPORT · LITE

Event-AHU/Mamba_State_Space_Model_Paper_List

Default branch main · commit 6256447d · scanned 6/3/2026, 11:07:59 PM

GitHub: 753 stars · 41 forks

AI VISIBILITY SCORE
22 /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
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 Event-AHU/Mamba_State_Space_Model_Paper_List, 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
    Reposition README H1 to specify 'Curated Collection'

    Why:

    CURRENT
    # Mamba_State_Space_Model_Paper_List
Paper list for State-Space-Model and its Applications
    COPY-PASTE FIX
    # Mamba_State_Space_Model_Paper_List: A Curated Collection of State Space Model and Mamba Papers
  • hightopics#2
    Add specific categorization topics

    Why:

    CURRENT
    linear-attention-model, mamba, point-mamba, ssm, transformer, video-mamba, vision-mamba
    COPY-PASTE FIX
    linear-attention-model, mamba, point-mamba, ssm, transformer, video-mamba, vision-mamba, awesome-list, paper-list, survey
  • mediumhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/Event-AHU/Mamba_State_Space_Model_Paper_List

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 Event-AHU/Mamba_State_Space_Model_Paper_List
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
state-spaces/mamba
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. state-spaces/mamba · recommended 2×
  2. PyTorch · recommended 1×
  3. TensorFlow · recommended 1×
  4. Keras · recommended 1×
  5. huggingface/transformers · recommended 1×
  • CATEGORY QUERY
    What are efficient alternatives to large transformer models for sequence modeling tasks?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow
    3. Keras
    4. Mamba (state-spaces/mamba)
    5. Hugging Face Transformers library (huggingface/transformers)
    6. Reformer

    AI recommended 6 alternatives but never named Event-AHU/Mamba_State_Space_Model_Paper_List. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find a curated list of papers on Mamba and its applications?
    you: not recommended
    AI recommended (in order):
    1. Mamba GitHub Repository (state-spaces/mamba)
    2. Papers With Code
    3. Hugging Face Blog
    4. arXiv
    5. Awesome Mamba
    6. Google Scholar

    AI recommended 6 alternatives but never named Event-AHU/Mamba_State_Space_Model_Paper_List. 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 Event-AHU/Mamba_State_Space_Model_Paper_List?
    pass
    AI did not name Event-AHU/Mamba_State_Space_Model_Paper_List — 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 Event-AHU/Mamba_State_Space_Model_Paper_List in production, what risks or prerequisites should they evaluate first?
    pass
    AI named Event-AHU/Mamba_State_Space_Model_Paper_List 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 Event-AHU/Mamba_State_Space_Model_Paper_List solve, and who is the primary audience?
    pass
    AI did not name Event-AHU/Mamba_State_Space_Model_Paper_List — 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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  • Brand-free category queries5 vs 2 in Lite
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