Bibliographic record
Abstract
We onstru\nt a two parameter family of \nollapsing solutions to the 4+1 Yang-Mills equations and derive the dynami\nal law of the \nollapse. Our arguments indi ate that this family of solutions is stable. The latter fa\nt is also supported by numeri\nal simulations. 1. Introdu\ntion Blow up problems for nonlinear S\nhrodinger, wave and heat equations have been a subje t of a\ntive resear\nh in the last 15 years (see [1,2,3 ℄ for reviews and [4,5 ℄ for re\nent papers on the subje\nt). A further surge of interest in blow-up for nonlinear wave equations has been re\nently motivated by their role in attempting to understand the problem of singularity formation in General Relativity (see [6 ℄ for a re\nent review). In this paper we des ribe the asymptoti\n dynami\ns of blowup for radial solutions of the semilinear wave equation u = u+ 1
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.704 | 0.555 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".