MESSY BROADCASTING IN MULTIDIMENSIONAL DIRECTED TORI
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
In classical broadcast models, once a vertex receives the broadcast message, it sends the message out in such a way as to achieve the minimum possible broadcasting time. It is assumed either that there is a leader who coordinates the actions of all vertices during the broadcasting process, or that the vertices have a coordinated set of protocols which allow them to achieve minimum time broadcast for any originator. In the messy broadcast model, there is no leader, the vertices of the network do not know the starting time of the broadcast or the originator, the state of the whole scheme is unknown to any vertex, and the protocols are not coordinated. This model also describes a network with vertices that have small memories insufficient to store a set of coordinated protocols. In this paper, we continue the study of messy broadcasting and present the first results for directed graphs. We obtain exact values for and bounds on the messy broadcast times of multidimensional directed tori.
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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 | 0.002 | 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 | 0.000 | 0.001 |
| Open science | 0.000 | 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