Quantum edge correspondences and quantum Cuntz–Krieger algebras
Bibliographic record
Abstract
Given a quantum graph G=(B,ψ,A)${\mathcal {G}}=(B,\psi ,A)$, we define a C*-correspondence EG$E_{\mathcal {G}}$ over the non-commutative vertex C*-algebra B$B$, called the quantum edge correspondence. For a classical graph G${\mathcal {G}}$, EG$E_{\mathcal {G}}$ is the usual graph correspondence spanned by the edges of G${\mathcal {G}}$. When the quantum adjacency matrix A:B→B$A\colon B\rightarrow B$ is completely positive, we show that EG$E_{\mathcal {G}}$ is faithful if and only if ker(A)$\ker (A)$ does not contain a central summand of B$B$. In this case, we show that the Cuntz–Pimsner algebra OEG${\mathcal {O}}_{E_{\mathcal {G}}}$ is isomorphic to a quotient of the quantum Cuntz–Krieger algebra O(G)${\mathcal {O}}({\mathcal {G}})$ defined in Brannan, Eifler, Voigt, and Weber (Trans. Am. Math. Soc. Ser. B 9 (2022), 782–826). Moreover, the kernel of the quotient map is shown to be generated by “localized” versions of the quantum Cuntz–Krieger relations, and OEG${\mathcal {O}}_{E_{\mathcal {G}}}$ is shown to be the universal object associated to these local relations. We study in detail some concrete examples and make connections with the theory of Exel crossed products.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".