Proceedings of the fourth Eurographics symposium on Geometry processing
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
Geometry Processing is an emerging research field at the intersection of computer graphics, numerical computation and applied geometry. This book contains the research papers presented at the fourth Eurographics/ACM Symposium on Geometry Processing (SGP), held in Cagliari, Sardinia, June 26 to 28, 2006. SGP is the premier venue for disseminating cutting-edge research ideas and results in Geometry Processing. The research papers included in the book address diverse topics in Geometry Processing, including: surface reconstruction, model analysis and matching, computational geometry, surface fitting, remeshing, subdivision surfaces, and mesh editing. This volume consists of 21 full research papers selected from a total of 79 submissions, plus a set of 5 short papers. All accepted submissions were reviewed by at least four reviewers, and at least two of them members of the program committee. Additionally, this year we introduced a virtual committee meeting with an online discussion among the program committee members.
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 | 0.000 |
| 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 | 0.000 | 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