Special Issue on Integrated Sensing and Communications [From the Guest Editors]
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
The 6G networks are anticipated to be instrumental in powering a wide array of upcoming applications, including smart cities and homes, interconnected vehicles, intelligent factories, and the industrial Internet of Things (IoT). These applications need advanced wireless connectivity and robust, precise sensing abilities. A consistent aspect of future 6G plans is the increased importance of sensing, set to play an unprecedented role. By incorporating sensing capabilities, 6G networks will expand beyond traditional communication boundaries, offering pervasive sensing services to analyze and potentially map out the environments they operate in. This capability to collect environmental sensory data is seen as essential for nurturing intelligence in the upcoming era of smart environments. This necessitates a concurrent focus on developing communication and sensing technologies within 6G networks, which has prompted recent explorations in integrated sensing and communications (ISAC).
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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