Bibliographic record
Abstract
A graph G is said to be factorized into graphs H and K via a matrix product if there exist adjacency matrices A , B , and C for G , H , and K , respectively, such that A = B C . Recently, Maghsoudi et al. proved that the complete graph K n admits a factorization if and only if n = 4 k + 1 . In this note, we show that, in contrast to the finite case, the (countably) infinite complete graph admits a factorization via a matrix product. In addition, they showed that the complete bipartite graph K m , n has a factorization if and only if both m and n are even. We extend this result to the infinite complete bipartite graph K m , n , namely: the infinite complete bipartite graph admits a factorization if and only if the size of the finite part (if it exists) is even. Finally, we show that the n -dimensional grid admits a factorization for all n ≥ 2 .
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".