Efficient Oracles for Generating Binary Bubble Languages
Why this work is in the frame
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Bibliographic record
Abstract
A simple meta-algorithm is provided to efficiently generate a wide variety of combinatorial objects that can be represented by binary strings with a fixed number of 1s. Such objects include: $k$-ary Dyck words, connected unit interval graphs, binary strings lexicographically larger than $\omega$, those avoiding $10^k$ for fixed $k$, reversible strings and feasible solutions to knapsack problems. Each object requires only a very simple object-specific subroutine (oracle) that plugs into the generic cool-lex framework introduced by Williams. The result is that each object can be generated in amortized $O(1)$-time. Moreover, the strings can be listed in either a conventional co-lexicographic order, or in the cool-lex Gray code order.
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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 | 0.000 |
| 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 | 0.000 |
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