50 km degraded drone mission simulation evidence.
HOLDFAST improves delivery and continuity. Sentry estimates receiver-visible severity and uncertainty. AURM improves trust correctness — it does not change PDR, by design.
Simulation-backed architectural prototype.
Current evidence is deterministic and simulation-backed. It compares the same 50 km drone mission, node set and degraded event stream across four configurations: an AODV baseline, HOLDFAST Core alone, HOLDFAST Core with Adapt, and the full stack including Sentry and AURM.
The simulation isolates three separable contributions: delivery and continuity (HOLDFAST), receiver-visible severity and uncertainty (Sentry), and trust correctness (AURM).
50 km degraded drone mission.
Mission
Distributed drone mission across approximately 50 km with relay-dependent C2, packetised video, GNSS/PNT inputs and custody transitions.
Comparison
Same mission, same nodes, same threat environment. AURM/HOLDFAST/Sentry OFF versus ON across four progressive configurations.
Measurement
Mean C2 packet delivery rate, trust-state divergence, custody continuity, operator review signalling and evidence traceability.
HOLDFAST improves C2 delivery.
HOLDFAST Core lifts mean C2 PDR from the AODV baseline through custody, priority and store-forward behaviour. HOLDFAST Adapt adds further gain via evidence-confirmed bounded adaptation when degradation persists long enough to act on.
AODV baseline
0.659
Reactive routing baseline
HOLDFAST Core
0.725
Custody, priority, store-forward gain
HOLDFAST Core + Adapt
0.797
Evidence-confirmed adaptation gain
HOLDFAST Core + Adapt + Sentry + AURM
0.797
Same PDR. Assurance added.
Key message
HOLDFAST improved C2 delivery. AURM did not change PDR, because AURM's role is trust assessment, not packet delivery.
Bounded effectiveness, by scenario.
HOLDFAST performs best under persistent or schedulable degradation. Under transient or ambiguous degradation, Sentry identifies cases where overconfident adaptation should be reduced — by design.
- Static communications pressure+25.0 pp
- Packetised video congestion+19.6 pp
- Relay rejoin stale-command scenario+17.1 pp
- Combined GNSS / video / C2 degradation+15.0 pp
- Swept communications pressure+13.8 pp
- Micro-dwell pressure+5.2 pp
Sentry suppresses overconfident adaptation under ambiguous communications evidence.
Sentry estimates receiver-visible severity, uncertainty and evidence quality. When the underlying degraded-state evidence is ambiguous, Sentry restrains the system from adapting as if it had high-confidence information. This is the conservative path: it does not increase PDR on its own, but it reduces the false-confidence failure modes that would otherwise propagate into AURM's trust assessment.
Same PDR. Better trust correctness.
Adding AURM on top of HOLDFAST Core + Adapt + Sentry produces the same mean C2 PDR — by design. AURM's contribution is detected in trust outcomes: stale commands prevented from false trust, custody-ambiguous transitions flagged for review, context-invalid commands rejected, and operator-facing assurance signalling on edge cases that would otherwise pass authentication unchallenged.
Authenticated does not mean current.
In the relay-rejoin scenario (+17.1 pp PDR), HOLDFAST's custody and store-forward behaviour preserves message delivery across the rejoin event. AURM separately determines that some of those delivered commands are stale relative to the current mission state and signals operator review or rejection rather than letting them flow into autonomy policy as fresh instructions.
What this proves. What it does not.
What this proves
- The Resolvix three-layer architecture is internally consistent and deterministically reproducible in simulation.
- HOLDFAST measurably improves C2 delivery and continuity under persistent or schedulable degradation.
- Sentry measurably suppresses overconfident adaptation under ambiguous communications evidence.
- AURM measurably improves trust correctness, review signalling and false-trust prevention without changing PDR.
What this does not prove
- Field, RF, GNSS anti-spoof, anti-jam, SDR or waveform validation.
- Operational deployment, procurement endorsement or combat validation.
- Specific anti-adversary capability against real-world emitters or threat behaviour.
- Performance under representative constrained-node hardware. That is the M1 gate.
M1 — live RF / GNSS / HIL evidence.
Current state
Simulation-backed architectural prototype.
Next gate
M1 — live RF/GNSS ingestion, SDR or radio-adjacent evidence, hardware-in-the-loop replay, constrained-node performance, and partner-informed validation.
Not yet claimed
Field validation, RF validation, GNSS anti-spoof validation, anti-jam validation, SDR validation, waveform validation, operational deployment or combat validation.
Claim Boundary
Next step
Discuss M1 Validation Partnership.
We welcome discussions with qualified defence, research, autonomy, RF, GNSS, SDR and tactical communications partners able to support the next validation gate: live evidence ingest, hardware-in-the-loop replay and constrained-node testing.