experiment log
Multi-Fact Turn Stressor — Real Driver — 2026-06-26 (corrected)
- File
2026-06-26_multi_fact_stressor_real_driver.md- Size
- 2.4 KB
- SHA-256
674487665ca9ac3e…
Multi-Fact Turn Stressor — Real Driver — 2026-06-26 (corrected)
Question
Does the multi-fact stressor run end-to-end against the real LFM2.5 GGUF and can it discriminate architecture S vs H on co-retention?
Method
Extended src/oczy/experiments/multi_fact_stressor.py with an optional
--use-real-driver flag that loads LlamaCVecDriver and passes it to
CortexAgent. Ran --length 256 in both scalar and hybrid modes.
Results
| mode | recall_a | recall_b | co_recall | traces | embedding_calls | consolidation_strength | cold_drift |
|---|---|---|---|---|---|---|---|
| scalar | 0 | 0 | 0 | 3 | 0 | 1.00 | 0.086 |
| hybrid | 0 | 0 | 0 | 3 | 0 | 3.56 | 0.305 |
Both modes produced valid METRIC and ASI lines against the real driver.
Hybrid shows the expected mechanical scaling (strength 1.0 → 3.56, cold_drift
0.086 → 0.305). embedding_calls reports 0 because only _MockDriver counts
embedder invocations, not LlamaCVecDriver.
Interpretation
- The integration works: real driver loads, pipeline stores 3 traces, and the probe emits metrics.
- Co-recall is 0/0 not primarily because of instruction formatting but because cvec-only consolidation cannot reliably force exact target tokens. This matches the prior consolidation-uptake finding: residual steering shifts the semantic domain but does not bind exact vocabulary.
- Hybrid modulation is mechanically real: it produces stronger persistent traces from high-drift chunks. But stronger cvecs still do not guarantee exact-token recall.
Implication for architecture
To make the multi-fact stressor behaviorally discriminating, the retrieval path
needs a reserved-position/prefix surface (e.g. LlamaCVecDriver articulation
prefix) or a knowledge-store fact-injection path, not just stronger cvecs. This
is the next frontier.
Open questions
- Does adding
ReservedPositionprefix support to the stressor yield non-zero co_recall? - Once exact-token recall is possible, does hybrid mode improve co_recall or reduce memory cost?
- Should the stressor also test mock-foreign embedder recall to compare cost?
Artifacts
src/oczy/experiments/multi_fact_stressor.pysrc/oczy/experiments/tests/test_multi_fact_stressor.pyexperiments_logs/2026-06-26_multi_fact_stressor_real_driver.md
Commits
b171ec0— Make multi_fact_stressor runnable against real LlamaCVecDriver.2a5b786— Update experiments/logs/SUMMARY.md with run #86 result.