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
The HLA-RTI provides a general-purpose network communication mechanism for Distributed Interactive Simulation (DIS), but it has limitations on Real-Time DIS (RT-DIS). The Internet is moving to an age of QoS (quality of service), providing delay and jitter bounded services. With IP QoS and a real-time operating system, HLA makes it possible to construct a real-time architecture for RT-DIS, a critical aspect of applications in virtual medicine, distributed virtual environments, weapon simulation, aerospace simulation, and others. This paper outlines the current real-time technology at the operating system and network infrastructure level. It then summarizes the requirements and the experience of using RT-DIS. Afer analyzing the limitations of current HLA and RTI, a proposal of a real-time extension to HLA is presented and an architecture for real-time RTI is suggested. Similar to the growth of real-time CORBA afer the mature based CORBA standard suite, Real-Time HLA is a natural extension following the standardization of HLA as IEEE 1516 in September of 2000.
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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.004 |
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