The combinatorial game N<scp>ofil</scp> played on Steiner triple systems
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Bibliographic record
Abstract
Abstract We introduce an impartial combinatorial game on Steiner triple systems called N ext O ne to F ill I s the L oser (N ofil ) . Players move alternately, choosing points of the triple system. If a player is forced to fill a block on their turn, they lose. By computing nim‐values, we determine optimal strategies for N ofil on all Steiner triple systems up to order 15 and a sampling for orders 19, 21 and 25. The game N ofil can be thought of in terms of play on a corresponding hypergraph which will become a graph during play. At that point N ofil is equivalent to playing the game N ode K ayles on the graph. We prove necessary conditions and sufficient conditions for a graph to reached playing N ofil . We conclude that the complexity of determining the outcome of the game N ofil on Steiner triple systems is PSPACE‐complete for randomized reductions.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 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 it