Matching-star size Ramsey numbers under connectivity constraint
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
Given two graphs G 1 and G 2 , the size Ramsey number r(G 1 , G 2 ) refers to the smallest number of edges in a graph G such that for any red-blue edge-coloring of G, either a red subgraph G 1 or a blue subgraph G 2 is present in G.If we further restrict the host graph G to be connected, we obtain the connected size Ramsey number, denoted as rc (G 1 , G 2 ).Erds and Faudree (1984) proved that r(nK 2 , K 1,m ) = mn for all positive integers m, n.In this paper, we concentrate on the connected analog of this result.Rahadjeng, Baskoro, and Assiyatun (2016) provided the exact values of rc (nK 2 , K 1,m ) for n = 2, 3. We establish a more general result: for all positive integers m and n with m (n 2 + 2pn + n -3)/2, we have rc (nK 1,p , K 1,m ) = n(m + p) -1.As a corollary, rc (nK 2 , K 1,m ) = nm + n -1 for m (n 2 + 3n -3)/2.We also propose a conjecture for the interested reader.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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