Representational Capacity: Geometric Limits on Feature Representation in Transformer Language Models

Representational Capacity: Geometric Limits on Feature Representation in Transformer Language Models | Signal Canvas | ScienceToStartup

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Proof freshness: fresh
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Last proof check: 2026-06-03
Score updated: 2026-06-03
Score fresh until: 2026-07-03
References: 0
Source count: 4
Coverage: 83%

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Evidence Receipt

Route status: building

Claims: 1

References: Pending verification

Proof: Verification pending

Freshness state: computing

Source paper: Representational Capacity: Geometric Limits on Feature Representation in Transformer Language Models

PDF: https://arxiv.org/pdf/2606.02765v1

Repository: https://github.com/Alex-Guha/representational-capacity

Source count: 4

Coverage: 83%

Last proof check: 2026-06-03T20:33:01.094Z

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Subject: Representational Capacity: Geometric Limits on Feature Representation in Transformer Language Models

Verdict

Representational Capacity: Geometric Limits on Feature Representation in Transformer Language Models

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