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 a set L of graphs, a graph G is L -free if G does not contain any graph in L as an induced subgraph. Recently, Frédéric Maffray and co-authors showed that the problem of coloring { claw , 4 K 1 , K 5 \ e }-free graphs can be solved in polynomial time. In this paper, we investigate a related class of graphs. A hole is an induced cycle of length at least 4. Two vertices x , y of a graph G are twins if for any vertex z different from x and y , xz is an edge if and only if yz is an edge. A hole-twin is the graph obtained from a hole by adding a vertex that forms a twin with some vertex of the hole. Hole-twins, and K 5 \ e , are interesting in their connection with line-graphs. They are among the forbidden subgraphs in the characterization of line-graphs. In this paper, we show there is a polynomial time algorithm to color ( claw , 4 K 1 , hole-twin)-free graphs.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.006 | 0.002 |
| 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