Online polygon search by a seven-state boundary 1-searcher
Bibliographic record
Abstract
Polygon search is the problem of finding mobile intruders who move unpredictably in a polygonal region. In this paper, we consider a special case of this problem, called boundary search, where the searcher is allowed to move only along the boundary of the polygon. We concentrate on a single searcher with one flashlight (called a 1-searcher), but it is known that a single boundary 1-searcher has the same searching power as a single boundary searcher with 360/spl deg/ vision. Our main result is that the movement of the searcher can be controlled by a finite-state machine having only seven states. This automaton has no built-in information about the input polygon and, for any given polygon P, if P can be searched by a boundary searcher at all, then this automaton will successfully search P, no matter where on the boundary of P it is initially placed. All information about P is acquired by the automaton online, as it searches P. We also show that if P can be searched by a boundary searcher, then our automaton searches it by circling its boundary less than three times.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".