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
Peer-to-peer (P2P) video-on-demand (VoD) is a popular Internet service for a large number of concurrent users. Streaming capacity in a P2P VoD system is defined as the maximum streaming rate that can be received by every user. In this letter, we study the streaming capacity problem in P2P VoD systems. We formulate the streaming capacity problem into an optimization problem which maximizes the streaming rate subject to peer bandwidth constraints, and then solve it with a distributed algorithm. From the study on streaming capacity, we find that the streaming capacity is limited by the over-demanded video segments. Therefore we introduce helpers, the peers who are willing to contribute their remaining upload bandwidths to help other peers, into P2P VoD systems. We optimize helper assignment and rate allocation to improve the streaming capacity. In the simulations, we demonstrate that the streaming capacity can be obtained in a distributed manner by optimizing the resource allocation in the P2P VoD system.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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