Transition within sip based multi-party communication: From tightly-coupled to fully-coupled conference
Why this work is in the frame
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Bibliographic record
Abstract
Many models and topologies have been proposed for multi-party internet conferencing. The end-system mixing topology, where nodes are loosely coupled, is considered as one of the most popular, easy to deploy and less expensive among the other topologies. Otherwise, in some context, the centralized topology presents some drawbacks that limit conference development particularly when focus user (mixer) has to leave conference or for other cases where participant number becomes too high to be correctly mixed. On the other hand, the fully-coupled conference model spreads the mixing load between participants and enables them to leave the conference without preventing remaining participants to continue conferencing. Enabling transition to fully-coupled model should resolve tightly coupled limitations. This work explains how to enable such a transition between the two models using SIP protocol primitives. Two approaches to enable model transition are explored and their performance is evaluated.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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