proof blockPage 468%
This equation captures one of the core mathematical components of the system. The final dataset was split into training (n = 839, 78.1%), validation (n =
Page and bbox are available; crop image is pending.
Representation geometry shapes task performance in vision-language modeling for CT enterography explores Investigating representation geometry in vision-language models for CT enterography, finding that mean pooling and per-slice contrast are key for disease assessment and retrieval.. Commercial viability score: 4/10 in Medical AI.
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Page Freshness
Canonical route: /paper/representation-geometry-shapes-task-performance-in-vision-language-modeling-for-ct-enterography
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Agent Handoff
Canonical ID representation-geometry-shapes-task-performance-in-vision-language-modeling-for-ct-enterography | Route /paper/representation-geometry-shapes-task-performance-in-vision-language-modeling-for-ct-enterography
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/representation-geometry-shapes-task-performance-in-vision-language-modeling-for-ct-enterographyMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.13021"
}
}source_context
{
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"query": "Representation geometry shapes task performance in vision-language modeling for CT enterography",
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"topic_slug": null,
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}Paper proof page receipt window
/buildability/representation-geometry-shapes-task-performance-in-vision-language-modeling-for-ct-enterography
Subject: Representation geometry shapes task performance in vision-language modeling for CT enterography
Verdict
Ignore
Verdict is Ignore because current viability and proof state do not clear the buildability gate.
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Insufficient data
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Insufficient data
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Dimensions overall score 4.0
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This equation captures one of the core mathematical components of the system. The final dataset was split into training (n = 839, 78.1%), validation (n =
Page and bbox are available; crop image is pending.
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Receipt path
/buildability/representation-geometry-shapes-task-performance-in-vision-language-modeling-for-ct-enterography
Paper ref
representation-geometry-shapes-task-performance-in-vision-language-modeling-for-ct-enterography
arXiv id
2604.13021
Generated at
2026-04-15T17:00:56.647Z
Evidence freshness
stale
Last verification
2026-04-15T17:00:56.647Z
Sources
3
References
0
Coverage
50%
Lineage hash
63fab3b3cb0e7b488159d01b332cf1da9f2fc3e1659e2bfad1573f285bfcc2c6
Canonical opportunity-kernel lineage hash.
External signature
unsigned_external
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not_verified
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Pending verification refs / 3 sources / Verification pending
repo_url
references
This equation captures one of the core mathematical components of the system. P P j∈Pi exp(sij/τ) PN k=1 exp(sik/τ) + log j∈Pi exp(sji/τ) PN k=1 exp(sjk/τ) L = −
Page and bbox are available; crop image is pending.
This equation captures one of the core mathematical components of the system. vision encoder and language model decoder, with rank r = 16, scaling factor α =
Page and bbox are available; crop image is pending.
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