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Compiling scientific knowledge through LLMs and graph structures reveals a stable, source-traceable portrait of research evolution across multiple domains.
LLMs can be compressed by nearly 50% with minimal accuracy loss using a new tensor decomposition method, but pushing further reveals abrupt, model-specific compressibility limits tied to shifts in internal representations.
