Sensor layer
Radar, EO/IR, RF and telemetry observations with timestamps and provenance.
OBSERVATION · SOURCE · TIMEPAMIR ARGUS / AUTONOMOUS DEFENCE ASSURANCE
Operational autonomy.
Evidence that keeps up.
Autonomous systems can change between tests, releases and missions. ARGUS preserves the decision chain so behaviour can be reconstructed, explained and reproduced as evidence.
ARGUS v0.1.0FROZEN BASELINECI PASSDETERMINISTIC REPRODUCIBILITY GATE PASSED
See the evidence chain ↓
PUBLIC-DOMAIN U.S. AIR FORCE FOOTAGE
01Anything that senses, fuses
Anything that senses, fuses
and decides leaves a trail.
ARGUS makes that trail inspectable without becoming part of the engagement or control loop.
Tracking layer
Track formation, association changes and stale or late information.
TRACK · ASSOCIATION · LATENCYFusion layer
Sensor disagreement, confidence evolution and fusion divergence.
FUSION · CONFIDENCE · CONFLICTDecision layer
Decision state, policy context and the first meaningful divergence.
DECISION · CONTEXT · DIVERGENCEDECISION ENVIRONMENT / COMBAT INFORMATION CENTEREvery autonomous decision
Every autonomous decision
should be reconstructable.
02The system acts.
The system acts.
ARGUS preserves why.
Six stages connect raw observation to an evidence object that can be reviewed and replayed.
01
Observe
Capture source data and provenance.
02
Align
Preserve timing and synchronisation state.
03
Associate
Track formation and sensor relationships.
04
Reconstruct
Locate first divergence and causal sequence.
05
Replay
Run deterministic and counterfactual cases.
06
Prove
Produce a reproducible Evidence Object.
03Five controlled cases.
Five controlled cases.
One reproducibility contract.
ARGUS v0.1.0 has passed its deterministic release gate across a nominal control and four synthetic failure scenarios. Validation is limited to the synthetic environment described here.
Nominal baseline
No divergence expected.
CONTROLClock drift
First divergence at temporal integrity.
TIMEStale observation
Observation freshness failure is preserved.
LATENCYSensor disagreement
Cross-sensor consistency divergence.
FUSIONAssociation failure
Object identity disagreement is explicit.
ASSOCIATIONREPRODUCIBLE EVIDENCE
Evidence Pack → Release Manifest → SHA-256 digest → repeat build → identical deterministic output
04
A gap must stay a gap.
ARGUS separates supported findings from missing evidence. Unknowns are explicit; provenance remains attached.
FRAGMENTED RECONSTRUCTION
Logs without lineage
Different interpretation on each review
Missing data silently inferred
Evidence assembled after the incident
ARGUS EVIDENCE
Source and transformation attached
Deterministic reconstruction
Unknown explicitly reported
Evidence structure preserved from the chain
05Five things,
Five things,
done deliberately.
Decision provenance
Trace observations and transformations behind a system decision.
First-divergence detection
Find the earliest meaningful separation between expected and observed behaviour.
Deterministic reconstruction
Rebuild the same evidence sequence from the same inputs.
Counterfactual replay
Test alternate inputs without altering the original evidence record.
Evidence sufficiency
State what the evidence supports, what remains unknown and what would close the gap.
REFERENCE ARCHITECTUREARGUS v0.1.0 / FROZEN
RADAREO / IRRF→TRACKER→FUSION→DECISION
ARGUS EVIDENCE FLIGHT RECORDERPROVENANCETIME INTEGRITYFIRST DIVERGENCECAUSAL RECONSTRUCTIONCOUNTERFACTUAL REPLAYEVIDENCE SUFFICIENCY
06Evidence management.
Evidence management.
Never engagement authority.
NO weapon control
NO target selection
NO engagement guidance
NO software approval decisions
YES inspectable evidence
Bring us a decision chain
you need to explain.
Discuss an ARGUS integration pilot for evidence capture, deterministic reconstruction and assurance evaluation. We will show what the evidence supports, where the first divergence occurs, and what remains unknown.