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
Traditional microprocessors have long benefited from the transistor density gains of Moore's law. Diminishing transistor speeds and practical energy limits however have created new challenges in technology, where the exponential performance improvements we have been accustomed to from previous computing generations continue to slowly cease. These factors signify that while transistors continue to scale and other technological means are researched, the design challenges faced by computer architects will only be temporarily masked before similar challenges are yet again encountered. This work addresses several conventional processors back-end issues by introducing the concept of Reconfigurable Computing Units (RCUs). RCUs employ logical and physical compilation to maintain compatibility with current compilers and ISAs, while supporting an underlying reconfigurable processor architecture. RCUs consist of a variety of execution engines and functional units, connected through a configurable single-cycle multi-hop registerSwitch interconnect. Experimental results demonstrate that RCUs can achieve up to a 2× performance improvement in purely sequential applications with 3× less logic utilization than a conventional CPU back-end.
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 | 0.001 | 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