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
In two recent works, Kuba and Mahmoud (arXiv:1503.090691 and\narXiv:1509.09053) introduced the family of two-color affine balanced Polya urn\nschemes with multiple drawings. We show that, in large-index urns (urn index\nbetween $1/2$ and $1$) and triangular urns, the martingale tail sum for the\nnumber of balls of a given color admits both a Gaussian central limit theorem\nas well as a law of the iterated logarithm. The laws of the iterated logarithm\nare new even in the standard model when only one ball is drawn from the urn in\neach step (except for the classical Polya urn model). Finally, we prove that\nthe martingale limits exhibit densities (bounded under suitable assumptions)\nand exponentially decaying tails. Applications are given in the context of node\ndegrees in random linear recursive trees and random circuits.\n
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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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