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Sigma Runtime Improvement Proposal
Category: Architectural / Runtime Semantics
Status: Draft
Editor: E. Tsaliev
Last Updated: 2025-12-26
SRIP-01 defines the canonical runtime loop (CRL) that governs all Sigma Runtime–compliant systems.
It specifies the ordered execution phases that maintain recursive coherence, identity persistence, and drift regulation across SL0 – SL6.
Without a structured loop, LLM systems exhibit:
The canonical loop formalizes a deterministic, bounded process for recursive cognition.
The cyclical execution process through which cognitive state is ingested, interpreted, stabilized, and emitted.
A discrete operational window corresponding to one pass through SL0 – SL6.
The re-integration of output into the cognitive field for the next iteration.
| Step | Layer Scope | Function |
|---|---|---|
| 1. State Ingestion | SL0–SL6 | Acquire user input and current field state. |
| 2. Interpretation Pass | SL2 | Parse input, extract semantics, generate symbolic projection (Πsym). |
| 3. Stabilization Pass | SL2–SL4 | Evaluate drift, adjust attractors, enforce coherence thresholds. |
| 4. Memory Integration | SL3 | Merge new data into semantic & symbolic memory layers. |
| 5. Attractor Alignment | SL4 | Reinforce or dissolve attractors per stability metrics. |
| 6. Output Generation | SL5–SL6 | Produce new text / behavior via the backend LLM. |
| 7. Field Update | SL5–SL6 | Integrate output into the cognitive field, close loop. |
The runtime loop operates primarily within SL1–SL4,
handling field management, coherence control, and attractor regulation.
However, it coordinates with SL0 (Intent Layer) as the inbound semantic source
and SL6 (Model Layer) as the generative output anchor.
I/O Anchors:
- SL0 (Intent): encapsulates human input, context framing, and task goals.
- SL6 (Model): executes generation and emits symbolic output.
The runtime serves as the mediation channel between these two endpoints,
ensuring that all recursion remains bounded and semantically aligned.
An implementation conforms if it:
Later versions will extend the loop with adaptive phase control (ALICE integration) and semantic compression metrics (SCR).
References
Tsaliev, E. (2025). SIGMA Runtime Architecture v0.1 — DOI 10.5281/zenodo.17703667
Tsaliev, E. (2025). SIGMA Runtime v0.4.6 — Adaptive Phase Regulation — DOI pending