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 BASELINEFIELD VALIDATION v1 CLOSEDREAL-WORLD DATA · REPRODUCIBLE EVIDENCE
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.
03From synthetic control
From synthetic control
to real-world evidence.
ARGUS Field Validation v1 extends the frozen deterministic baseline with an independent real-world multimodal evidence lane. The programme is closed across A-FV01–A-FV10 with explicit PASS, UNKNOWN and INCONCLUSIVE outcomes where the source evidence sets the boundary.
FIELD VALIDATION v1CLOSED
MATRIX COVERAGEA-FV01—A-FV10
REAL-WORLD CORPUSFoMo multimodal subset
EVIDENCE POLICYNo unsupported inference
Real-data ingestion
Real FoMo sensor bytes were hash-verified and replayed deterministically. Quantitative temporal acceptance remains UNKNOWN without a defensible operational threshold.
REPLAY PASSStale observation
A controlled replay-only delay was detected while preserving the immutable source record.
DETECTION PASSSensor dropout
A controlled camera dropout produced an explicit missing-evidence state and insufficient-evidence outcome.
DETECTION PASSSynchronisation perturbation
A controlled association-timing perturbation exercised the synchronization detector under a declared validation-test contract.
DETECTION PASSEvidence boundary
Semantic association ambiguity and cross-modal disagreement remain INCONCLUSIVE where authoritative source ground truth is absent.
NO FABRICATED PASSA-FV07 · derived assurance confidenceA-FV08 · provenance / calibration discontinuityA-FV09 · deterministic replay verificationA-FV10 · no-conclusion policy
REAL-WORLD EVIDENCE CHAIN
Source bytes → SHA-256 ledger → deterministic processing → Evidence Object → manifest → repeat replay → reproducibility verification
Assurance boundary: replay PASS demonstrates reproducibility, not operational system approval. Source-native controller decisions, internal fusion state and confidence remain UNKNOWN when the corpus does not expose them.
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.