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Platonic Projection Structures: Operator-Induced Observability in Representation Learning
Kazuo Ishii1, Bishnu Prasad Gautam1, Jieling Wu1
1Department of Applied Information Engineering, Faculty of Engineering, Suwa University of Science, Chino 391-0292, Nagano, Japan.
Platonic Projection Structures (PPS) offer a new operator-theoretic framework to understand representation learning under partial observation. This reveals inherent limitations in interpreting latent components inaccessible through the observation geometry.
Area of Science:
- Machine Learning
- Representation Learning
- Operator Theory
- Quantum Information Theory
Background:
- Representation learning aims to uncover latent structures from data.
- Partial observation poses challenges for understanding and interpreting these latent representations.
- Existing frameworks often treat observations as direct reflections of latent states.
Purpose of the Study:
- To introduce Platonic Projection Structures (PPS), an operator-theoretic framework for characterizing observability in representation learning.
- To unify the understanding of representation accessibility, interpretability, and transfer under partial observation.
- To reveal fundamental limitations of output-based interpretability inherent in the observation geometry.
Main Methods:
- Developed an operator-theoretic framework (PPS) modeling observation as a geometry induced by an operator on a latent Hilbert space.
- Characterized observability via quotient geometry (H/ker(Π)), representing indistinguishable latent states.
- Formulated quantum measurement and linear observation models within the PPS structure.
- Analyzed representation transfer and knowledge distillation using the intertwining condition.
- Provided empirical validations for kernel-invariant observability and projection-induced attribution gaps.
Main Results:
- Established a unified operator-theoretic structure for quantum measurement and linear representation inference.
- Demonstrated that observable behavior is governed by the geometry induced by the observation operator, not latent representations directly.
- Revealed that latent components within the kernel of the observation operator (ker(Π)) are fundamentally inaccessible.
- Showcased that interpretability methods inherit constraints from the observation geometry, leading to intrinsic attribution gaps.
- Empirically validated kernel-invariant observability and rank-controlled observable geometry.
Conclusions:
- Platonic Projection Structures (PPS) provide a mathematically explicit characterization of observability through operator-induced quotient geometry.
- The framework offers a unified perspective on representation accessibility, interpretability, and representation transfer.
- Output-based interpretability methods have inherent structural limitations imposed by the observation process itself.
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