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 n be a non-zero integer.A set of m positive integers {a 1 , a 2 , • • • , am} such that a i a j + n is a perfect square for all 1 ≤ i < j ≤ m is called a Diophantine m-tuple with the property D(n).In a series of papers, Dujella studied the quantity Mn = sup{|S| : S has the property D(n)} and showed for |n| ≥ 400 that Mn ≤ 15. 476 log |n| and if |n| > 10 100 , then Mn < 9.078 log |n|.We refine his argument to show that Cn ≤ 2 log |n| + O log |n| (log log |n|) 2 , where the implied constant is effectively computable and Cn = sup{|S ∩ [1, n 2 ]| : S has the property D(n)}.Together with earlier work of Dujella, this implies Mn ≤ 2.6071 log |n| + O log |n| (log log |n|) 2 , where the implied constant is effectively computable.
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 | 0.000 | 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) | 0.002 | 0.003 |
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