A Token Based Method for Congestion and Packet Loss Control
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
Presently the Internet accommodates simultaneous audio, video, and data traffic. This requires the Internet to guarantee the packet loss thus to control network congestion. A series of protocols have been introduced to supplement the insufficient TCP mechanism for controlling the congestion. As such the Core-Stateless Fair Queuing (CSFQ), Token-Based Congestion Control (TBCC) were designed as open or closed-loop controller respectively to provide the fair best effort service for supervising the per-flow bandwidth consumption. In this paper, Stable Token-Limited Congestion Control (STLCC) is introduced as a new protocol which appends inter-domain congestion control to TBCC and makes the congestion control system stable. STLCC produces a congestion index, pushes the packet loss to the network edge and improves the network performance. Finally, the simple version of STLCC is introduced. It is deployable in the Internet without any IP protocols modifications and preserves also the packet datagram.
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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