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
Write Blockers are an important tool preserving digital evidence integrity and protecting the data chain of custody during a digital forensics investigation, which is crucial to the admissibility and reliability of evidence in court. One area in which write blocking tools are lacking is the Internet of Things (IoT) space. There are unique challenges to the IoT storage technologies and write-blocking them, mainly the lack of standardization in the IoT space. To address it, in this paper, we propose the design of novel write blocking tools for IoT flash technologies. We first develop a set of requirements inspired by the existing requirements for hard drive write blockers as defined by the National Institute of Standards and Technology (NIST). Afterwards, we implement a Serial Peripheral Interace (SPI) flash write blocker in both hardware and software. Furthermore, a demonstration is presented to show effectiveness of the proposed write blocking systems, and the future work is proposed.
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 | 0.001 | 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