Design-for-debug for post-silicon validation: Can high-level descriptions help?
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
Post-silicon validation is an essential step in the design flow, which is needed to demonstrate that the implemented circuit meets its intended behavior. Due to lack of in-system controllability and observability, design-for-debug hardware is employed to aid post-silicon validation. A number of solutions have been proposed to implement the design-for-debug hardware, as well as to analyze the debug data that is acquired. Although the design entry is done at the register-transfer level, the existing approaches to aid post-silicon validation rely primarily on the information extracted from the gate level circuit descriptions. We anticipate that, as the design complexity continues to grow, extracting and processing circuit information at this level will become increasingly difficult. In this paper, we briefly summarize the known art and discuss some possible directions of investigation that can utilize high-level circuit descriptions to augment the existing solutions.
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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