The SIP-RTI: An HLA RTI Implementation Supporting Interoperability
Bibliographic record
Abstract
The high level architecture (HLA) is a popular standard for distributed simulation interoperability. The specification defines a distributed runtime infrastructure (RTI) but not its implementation. Consequently, heterogeneous RTIs do not interoperate. Furthermore, the specification does not include an explicit session layer or security. The SIP-RTI is a new model for RTI interoperability. A distributed conferencing mechanism, called the conferencing infrastructure (CI), is used below the RTI to provide generic communication services. RTI semantics are given in terms of the CI. The way in which the RTI uses the CI is known, therefore, other applications can interoperate with the RTI at the CI level. The CI uses the Session Initiation Protocol (SIP) to establish communication between CI nodes, which has the potential to solve other RTI issues as well. Ownership management services (IEEE 1516) demonstrate the viability of the conferencing model to support HLA semantics. Interoperability between heterogeneous applications is demonstrated
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How this classification was reachedexpand
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) | 0.000 | 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 | 0.000 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".