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
NAND flash memory has been widely used to build embedded devices such as smartphones and solid state drives (SSD) because of its high performance, low power consumption, great shock resistance and small form factor. However, its lifetime and performance are greatly constrained by partial page updates, which will lead to early depletion of free pages and frequent garbage collections. On the one hand, partial page updates are prevalent as a large portion of I/O does not modify file contents drastically. On the other hand, general-purpose cache usually does not specifically consider and eliminate duplicated contents, despite its popularity. In this paper, we propose a hybrid approach called FTL 2 , which employs both logging and mapping techniques in flash translation layer (FTL), to tackle the endurance problem and performance degradation caused by partial page updates in flash memory. FTL 2 logs the latest contents in a high-speed temporary storage, called Content Cache to handle partial page updates. Experimental results show that FTL 2 can greatly reduce page writes and postpone garbage collections with a small overhead.
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 | 0.001 |
| 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 | 0.002 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.003 |
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