Bibliographic record
Abstract
In this thesis, we are concerned with finite simple graphs. Given a subset $S$ of $\{3,4,\ldots,2n-1\}$, the additive graph generated by $S$ has vertex set $V=[n]$ and edge set $E$, with $(i,j) \in E$ if and only if $i+j \in S$. The focus of this thesis is the relationship between generating sets $S$ and monotone properties in the corresponding graphs. We make the first known investigation of the \textit{Traversal by Prime Sum Problem}, in which the set $S$ is the prime numbers and the property of interest is a Hamilton cycle. A number of new results are proved concerning both these graphs and the additive graphs for which the set $S$ is the practical numbers.\\ For any subset $S$ of $\{3,4,\ldots,2n-1\}$, we prove that the $|S|$-closure of the additive graph generated by $S$ is the complete graph; this allows for the determination of tight thresholds for a number of monotone properties in terms of $|S|$ using results from closure theory. These graphs are shown to be the first known wide-ranging and representative subclass of graphs with complete $k$-closure, and they afford a new and simple construction of minimum graphs with complete $k$-closure. Finally, as an example of the number-theoretic interpretations of these graphs and their properties, we generalize a theorem by Cramer concerning prime numbers to a number of different sequences.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".