Artifacts for "Automated Generation of Consistent Models with Structural and Attribute Constraints"
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
This deposit contains a virtual machine image for the paper "Automated Generation of Consistent Models with Structural and Attribute Constraints". The image can be imported into a virtualization environment using the standard <em>.ova</em> format. We recommend using VirtualBox 6.1.10 or later. For optimum performance, you should increase the memory size and number of CPU cores of the virtual machine to as large as feasible before starting it. When running the image, you may log in with the <em>models</em> user using the password <em>models20</em>. Further instructions are provided in the <em>README.md</em> file in the home folder. Select <em>Places > Home</em> from the top bar menu and double-click <em>README.md</em> to access them. All code of the VIATRA-Generator project is available under the Eclipse Public License v1.0. This virtual machine also contains open-source code from other projects, which are available under their respective licenses.
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 | 0.000 |
| 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