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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".