Bibliographic record
Abstract
In the survey article [2 Li , C. H. ( 2002 ). On isomorphisms of finite Cayley graphs – a survey . Discrete Mathematics 256 ( 1–2 ): 301 – 334 .[Crossref], [Web of Science ®] , [Google Scholar]] it was noted, among many other open problems, that the classification of the groups acting regularly on a d-dimensional cube Γ is unsettled. In other words, the classification of the finite groups G such that Cay(G, S) ≅ Γ, for some subset S of G, is still unknown. In this article, we prove that there are at least 2 d 2/64 − (d/2)log2(d/2) nonisomorphic 2-groups of Frattini class 2 acting regularly on a d-dimensional cube. Other relevant results are presented. As a corollary of our result, we remark that the symmetric group Sym(n) on n symbols contains at least 2 n 2/256 − (n/4)log2(n/4) subgroups up to isomorphism. In particular, we recall that in [4 Pyber , L. ( 1993 ). Enumeranting finite groups of given order . Ann. Math. 137 ( 2 ): 203 – 220 .[Crossref], [Web of Science ®] , [Google Scholar]] it was proved that the total number of subgroups of Sym(n) is at most 2 cn 2 , for c = log224.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".