Havana: a mobile agent platform for seamless integration with the existing Web infrastructure
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
Several research projects have been proposed to use mobile agents to deal with information overload. Their results, however, are not applicable in the existing Web infrastructure mainly because no Web sites are agent-enabled. There are two main reasons why Web site operators are not willing to let agents run on them: (1) security issues; and (2) many commercial Web sites make money from advertisement; if agents are going to do the work then who is going to see the ads? We have designed the Havana agent platform that addresses both of these issues. What is interesting about this platform is that it enables businesses to form beneficial business partnerships (e.g. between content providers and Internet Services Providers (ISPs) or even cellular network operators). In this paper, we discuss the design and implementation of the Havana platform. Some of the interesting features in the Havana platform include: (1) it can be seamlessly integrated into existing Web sites; (2) it enables business of different types to form beneficial partnerships; (3) supports location-based services and advertisements; (4) addresses the security issues in a revolutionary approach; and (5) can be accessed from any device.
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 | 0.001 | 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