Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract. A subset W of the vertex set of a graph G is called a resolving set of G if for every pair of distinct vertices u , v of G , there is w ∊ W such that the distance of w and u is different from the distance of w and v . The cardinality of a smallest resolving set is called the metric dimension of G , denoted by dim( G ). The circulant graph C n (1, 2, . . . , t ) consists of the vertices v 0 , v 1 , . . . , v n −1 and the edges v i v i + j , where 0 ≤ i ≤ n − 1, 1 ≤ j ≤ t ( ), the indices are taken modulo n . Grigorious, Manuel, Miller, Rajan, and Stephen proved that dim( C n (1, 2, . . . , t )) ≥ t + 1 for , and they presented a conjecture saying that dim( C n (1, 2, . . . , t )) = t + p − 1 for n = 2 tk + t + p , where 3 ≤ p ≤ t + 1. We disprove both statements. We show that if t ≥ 4 is even, there exists an infinite set of values of n such that dim( C n (1, 2, . . . , t )) = t . We also prove that dim( C n (1, 2, . . . , t )) ≤ t + p /2 for n = 2 tk + t + p , where t and p are even, t ≥ 4, 2 ≤ p ≤ t , and k ≥ 1.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.002 |
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 it