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Article . 2026
License: CC BY
Data sources: Datacite
ZENODO
Article . 2026
License: CC BY
Data sources: Datacite
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INLP Projection Transmission: Domain-Specific Activation Transfer at the Natural Language Boundary

Authors: McEntire, Jeremy;

INLP Projection Transmission: Domain-Specific Activation Transfer at the Natural Language Boundary

Abstract

Text baseline already achieves 95% domain classification accuracy. INLP injection provides marginal +1.9%, outperforming full activation injection (+1.3%). The 36-dimensional INLP projection outperforms the full 3584-dimensional activation injection. Sender and receiver encode domain in nearly orthogonal directions (cosine 0.27). Procrustes alignment fails (residual > 1).

Paper 32 of 37 in the Structural Compression Theory research program by Jeremy McEntire.

Keywords

activation transfer, INLP projection, Qwen 2.5-7B, natural language boundary, domain classification, multi-agent coordination

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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