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
A common 'finite-burst' mode of wireless links scheduling in CDMA2000 has been shown to cause occupancy oscillations at the bottleneck shared-queue resulting with large overflow-based closely clustered bursts of data-packets drops. The CDMA2000 gateway (PDSN) node is constructed with superior service-rate compared to its downstream core node (PCF). The rate mismatch further allows for traffic load variations and subsequent congestion at the core node. The use of a Xoff/Xon feedback flow control in CDMA2000 was proposed at the 3GPP2. We evaluate the 3GPP2 backpressure proposal for protecting the bottleneck queue during heavy congestion conditions. We devise an adaptive-Xoff/Xon for tandem queues, which extends the traditional Xoff/Xon to provide threshold adaptation according to overflow prediction. The adaptive-Xoff/Xon complements the RED AQM at the bottleneck node, creating a hybrid flow-control model for tandem nodes. Experimental results show that the hybrid flow-control model eliminates packet discards due to overflow at the bottleneck queue, improves throughput, and lowers the overall data packets drop volume. Packets show to not experience backpressure-based delay variation while traversing the tandem queues. An associated cost is low volume of feedback control packets. Larger tandem-queues' average-delays are observed, which result with lower power-function. Hence, degraded combined performances are delivered by the 3GPP2 proposal for backpressure.
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 | 0.000 | 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