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
BitTorrent is todays most influential peer-to-peer content distribution system. Currently BitTorrent has two very different operating models: (i) public trackers, and (ii) private trackers (a.k.a. PTs, Darknets). A PT can only be accessed by its registered users, and can provide ultrahigh downloading speed because of its effective share-ratio enforcement (SRE) incentive mechanism which stimulates the users to upload contents as much as possible. Although PTs are becoming more and more popular, they receive little attention from the research literature, possibly because they are operated underground. To understand the popularity of Darknets, the authors have traced 17 PT sites, 2 public tracker sites and 1 BitTorrent search engine for over a year. The authors investigate these PT sites from several aspects and try to understand why they are so successful in terms of attracting loyal users and providing high downloading speed. The authors then analyse the SRE mechanism and ratio free system which are commonly used by PTs. Our results unveil the reason of popularity and effectiveness of PTs. These understandings are essential to the sustainable development of future BitTorrent content distribution systems.
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 | 0.000 | 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 | 0.002 | 0.001 |
| 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