The capacity of a broadcast channel with Gaussian jamming and a friendly eavesdropper
Why this work is in the frame
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Bibliographic record
Abstract
A friendly eavesdropper assists communication in a broadcast scenario in which one transmitter wishes to send a common message to two receivers in the presence of a malicious jammer. The jammer attempts to disrupt communication by transmitting a high power Gaussian signal, whereas the friendly eavesdropper `hears' the jammer's transmission and sends an assisting signal to the destinations over an orthogonal channel in order to help them alleviate the jammer's impact. We derive an expression for capacity, i.e., the maximum data rate that can be reliably communicated from the transmitter to the receivers and we show that it is optimal for the friendly eavesdropper to send a Gaussian description of the jamming signal with the help of a scheme based on a modified compress-and-forward relaying that uses a list decoding procedure.
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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