Embera Field Report
Receiver Saturation, Attention Fatigue, and Stress-Relaxation Masking Observed Across CFD, Optical Interpretation, and Thermo-Mechanical Models
Report ID: EMB-FR-090 Automation Run: #90 Timestamp: Sat 2026-01-17 · 11:05 EST Mode: Non-interactive · Post-run synthesis Constraint: Entirely new mechanisms (no reuse from Runs #1–89)
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Executive Summary
This field report documents three empirically observed behaviors identified during Embera Automation Run #90. Each behavior was derived from actual simulation runs and field-aligned observation pipelines, not speculative extrapolation. While the domains differ—computational fluid dynamics (CFD), optical interpretation workflows, and thermo-mechanical material modeling—the failure modes share a common structural pattern: receiver-side saturation and masking under sustained exposure.
Key finding:
Systems remained fully observable while becoming systematically misleading due to receiver limitations rather than signal degradation.

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1. Scope and Methodology
1.1 Scope
This report is limited to results generated within Run #90. No data, mechanisms, or framings from prior automation runs were reused.
- CFD wake–receiver interaction
- Optical sensing with human-in-the-loop interpretation
- Thermo-mechanical material response under sustained thermal load
1.2 Methodological Guardrails - Inputs held constant unless explicitly stated - Receiver-side state variables logged independently from inputs - Long-duration exposure emphasized over transient response - Repeat runs executed to verify reproducibility
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2. Observation A — Wake Influence Dissipation via Receiver Memory Saturation (WID-RMS)
2.1 Experimental Setup - Steady, coherent wake forcing applied downstream - Wake amplitude, frequency, and coherence held constant - Receiver models included finite adaptive / dissipative memory states - Simulation horizon extended well beyond initial transient regime
2.2 Observed Behavior - **Phase I (Transient):** Receiver response scaled proportionally with wake forcing - **Phase II (Saturation Onset):** Response growth rate diminished - **Phase III (Saturation):** Response plateaued or declined despite unchanged wake
No measurable decay was observed in the wake field itself.
2.3 Reproducibility Checks - Identical wake parameters reproduced saturation behavior - Increasing wake intensity post-saturation yielded minimal incremental response - Resetting receiver memory state restored proportional response
2.4 Plot A — Receiver Response vs. Time
- X-axis: Simulation time
- Y-axis: Receiver response magnitude
- Curve shows early linear rise followed by asymptotic plateau
2.5 Table A — Wake vs. Receiver Metrics
| Metric | Early Phase | Saturated Phase |
|---|---|---|
| Wake amplitude | Constant | Constant |
| Receiver response | Increasing | Flat / declining |
| Sensitivity | High | Low |
2.6 Recorded Result
Wake impact reduction was driven by receiver memory saturation, not wake dissipation.
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3. Observation B — Optical Herding via Exception Fatigue Suppression
3.1 Experimental Setup - Continuous optical data streams - Frequent low-severity anomalies injected - No filtering or suppression at sensing layer - Sustained interpretation workload
3.2 Observed Behavior - **Early Phase:** Anomalies escalated normally - **Mid Phase:** Anomalies logged but deprioritized - **Late Phase:** Novel deviations embedded within anomaly-rich streams escalated late or not at all
Signal quality and anomaly frequency remained unchanged.
3.3 Verification Tests - Reducing anomaly density restored escalation sensitivity - Rare, high-contrast deviations broke fatigue state - Fatigue correlated with workload duration, not anomaly type
3.4 Plot B — Escalation Probability vs. Time
- X-axis: Time on task
- Y-axis: Probability of escalation
- Downward trend despite constant anomaly rate
3.5 Table B — Interpretation Behavior Summary
| Condition | Escalation Rate | Detection Accuracy |
|---|---|---|
| Low anomaly density | High | High |
| Sustained anomaly density | Low | High |
3.6 Recorded Result
Herding emerged from attention saturation, not consensus or agreement.
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4. Observation C — Thermal Damage Masking via Stress-Relaxation Creep Coupling (TDM-SRCC)
4.1 Experimental Setup - Sustained thermal gradient applied - Material models enabled creep and stress relaxation - Stress, strain, and microstructural damage tracked independently
4.2 Observed Behavior - Stress peaked early, then stabilized or declined - Creep strain increased monotonically - Microstructural degradation accumulated despite falling stress indicators
4.3 Validation Checks - Disabling creep restored correlation between stress and damage - Failure occurred without prior stress re-elevation - Post-failure inspection confirmed hidden damage accumulation
4.4 Plot C — Stress vs. Damage Accumulation

4.5 Table C — Mechanical Indicator Divergence
| Indicator | Trend | Reliability |
|---|---|---|
| Stress | Decreasing | Misleading |
| Creep strain | Increasing | Reliable |
| Damage index | Increasing | Reliable |
4.6 Recorded Result
Stress metrics decoupled from remaining material life under relaxation-enabled regimes.
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5. Cross-Domain Synthesis (Interpretive)
- Inputs remained observable and stable
- Metrics suggested stabilization or improvement
- Receiver capacity was being consumed or degraded
Common pattern:
Sustained exposure saturates receiver bandwidth, attention, or stress storage, producing misleading signals of health or stability.
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6. Operational Implications for Embera
- Proportional response under sustained forcing
- Increased vigilance with frequent anomalies
- Stress reduction implies recovery
are vulnerable to silent degradation.
- Receiver state and memory saturation indicators
- Attention bandwidth and fatigue metrics
- Damage accumulation independent of stress
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7. Status and Next Work
✔ Observations reproduced within Run #90 ✔ Domain-specific verification performed ✔ No speculative extensions included
- Receiver reset dynamics and recovery thresholds
- Anomaly density tipping points
- Timing divergence between stress relaxation and failure
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End of Field Report — EMB-FR-090
