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
Let G = (V, E) be a graph and k a positive integer such that k ≤ | V | . The k -token graph of G is the graph F k (G) having the set of all k -sets of V as vertex set, and such that two k -sets of V , say A and B , are adjacent if and only if the symmetric difference of A and B is an edge of G. In this work we study the cop number of token graphs of graphs in some classic families, such as paths, stars, and subdivided stars. We obtain the exact cop number for k -token graphs of paths and stars. We also obtain the exact cop number for subdivided stars when the number of branches is large enough. Probably more interesting than the aforementioned results, we introduce a variant of the Cops and Robbers game where R controls a team of robbers and C controls some teams of cops. A game of Cops and Robbers with this new variant played on a graph G is equivalent to a classic game of Cops and Robbers played on F k (G). This turns out to be very useful, as F k (G) is usually very large and complex when compared to G .
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| 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 it