A reference architecture for real-time microservice API consumption
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
Modern web frameworks and backend-as-a-service providers make it possible for real-time updates to a NoSQL data model to be reflected in the user interfaces of multiple subscribing end-user applications. However, it remains difficult for users to dynamically discover and instantly make use of the data provided by the plethora of REST APIs in existence across various cloud providers today. This paper presents a reference architecture built on the idea of a scalable NoSQL database that allows multiple subscribers to receive instant notifications of database changes through the use of a "livequery". By keeping one WebSocket connection open between each client web browser and an Object Synchronization Server, this paper shows how data from multiple disparate REST APIs can be organized and transmitted to interested clients via the database. An example is given featuring a collaborative rich-text editor that makes use of a Named-Entity Recognition microservice.
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 | 0.001 |
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