Generating monitor circuits for simulation-friendly GSTE assertion graphs
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
Formal and dynamic (simulation, emulation, etc.) verification techniques are both needed to deal with the overall challenge of verification. Ideally, the same specification/testbench would work with both formal and dynamic techniques, with the same semantics in both. Unfortunately, this is typically not the case. In particular, generalized symbolic trajectory evaluation (GSTE) is a powerful formal verification technique developed by Intel and successfully used on next-generation microprocessor designs, but the specification formalism for GSTE relies on "symbolic constants", which intrinsically exploit the underlying formal verification engine and cannot be reasonably handled via non-symbolic means. In this paper, we propose a modified version of GSTE specifications, and we present efficient, automatic constructions to convert from the new simulation-friendly GSTE specifications into the conventional GSTE specifications (to access the formal verification tool flow) as well as into completely non-symbolic monitor circuits suitable for the conventional dynamic verification. We demonstrate empirically that our simulation-friendly specification style is expressive enough for almost all real GSTE specifications, that our monitor construction is linear-size, and that our monitor construction imposes minimal overhead over a previously published monitor construction that was not fully non-symbolic.
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 | 0.001 |
| 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