Counter-UAS Evidence & Mission Assurance Layer

From Detection
to Defensible Evidence.

PAMIR-CUAS turns multi-sensor data into deterministic, explainable and reproducible evidence for Counter-UAS validation, incident reconstruction and controlled resilience.

39 / 39Automated tests · PASS
3 / 3Causal validation gates
R01–R03MMAUD real-data lane
v0.1Deterministic evidence schema

Multi-sensor. Multi-truth.
Defensible evidence.

The system reconstructs not only what happened, but how an incorrect outcome emerged across timing, association, confidence and fusion layers.

01

Causal Evidence Graph

Trace observations, associations, confidence transformations and fusion decisions through a reproducible evidence chain.

02

Temporal Integrity Forensics

Identify stale evidence, clock offset and out-of-order observations capable of corrupting downstream outcomes.

03

Sensor Disagreement Analysis

Expose conflicting observations and confidence-dominance paths across heterogeneous sensor inputs.

04

Counterfactual Replay

Test controlled “what-if” alternatives and determine whether suspect evidence changes the resulting decision.

05

Root-Cause Reconstruction

Attribute false positives and other validation failures to upstream evidence, timing or association conditions.

06

Evidence Report

Produce canonical machine-readable reports with deterministic SHA-256 integrity identifiers.

Recover safely.
Validate before trust.

DRE provides bounded degradation response with deterministic state transitions. A recovery candidate is validated before promotion and rolled back when the validation gate fails.

DETECT
ALERT
ISOLATE
RECONFIGURE
VALIDATE
PROMOTE / ROLLBACK
EVIDENCE
Current demonstrator scope is mission assurance, validation and forensic reconstruction. PAMIR-CUAS does not perform targeting, engagement, terminal guidance, interception or effector control.

Repository-level demonstrator acceptance: PASS.

$ pytest -q
....................................... [100%]
39 passed

schema ................. pamir-cuas-evidence/v0.1
causal-attribution ..... PASS
counterfactual-replay .. PASS
DRE recovery gate ..... PASS
MMAUD association ..... PASS
39/39

Final automated acceptance suite passed on the PAMIR-CUAS development branch. Independent real-data temporal association has been exercised on MMAUD V1 DJI Mavic3 radar + ground-truth windows R01, R02 and R03.

CUAS-001 PASSCUAS-002 PASSCUAS-003 PASSR01–R03 PASS

Blind validation on controlled unseen C-UAS data.

The next objective is external technical validation against unseen data under predeclared acceptance criteria, followed by controlled integration work with an authorized system integrator.

Technical validation & integration enquiries.

PAMIR-CUAS
PAMILANGA LIMITED

Controlled validation
Technical review
Research collaboration
System integration discussions

Email
cuas@pamilanga.com

Secure email handoff to cuas@pamilanga.com