Content-Aware Cross-Modal Stream Transmission
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
Multi-modal services, integrating audio, video, and haptic streams, have shown their great potential to improve user immersive experience. However, due to their distinct requirements, simultaneous transmission of streams from different modalities is a significant challenge. To address the challenge, we propose a content-aware cross-modal stream transmission scheme by leveraging content correlations to connect haptic preemptive scheduling and video signal restoration. Specifically, we firstly formulate a general cross-modal stream transmission problem as video utility maximization under the haptic requirement constraint. Then, an online content-aware cross-modal resource allocation algorithm is designed to solve the cross-modal stream transmission problem by scheduling haptic streams to preempt highly correlated video streams in a dynamic environment. Finally, simulation results show that our scheme improves the video throughput by 11.7% as compared with other popular schemes while ensuring low latency and high reliability of haptic streams.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.005 | 0.001 |
| 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