Causal Evidence Graph
Preserves lineage from source observation to final system outcome.
TRACEPAMILANGA · DEFENCE TECHNOLOGY PROGRAMME
PAMIR-CUAS reconstructs the evidence, timing and causal path behind Counter-UAS outcomes — from heterogeneous sensing to reproducible proof.
THE PROBLEM AFTER DETECTION
Counter-UAS outcomes are assembled across sensors, clocks, associations and confidence transformations. A wrong result can originate far upstream from the final alert.
PAMIR-CUAS preserves those relationships as inspectable evidence — allowing engineering teams to reconstruct what changed, where trust degraded, and why the outcome followed.
CAUSAL EVIDENCE GRAPH
Every material conclusion remains connected to its source observations, timing, associations and transformations.
Δt +184 msOUTCOME FLIPS WHEN EXCLUDEDNOT ANOTHER SENSOR DASHBOARD
Preserves lineage from source observation to final system outcome.
TRACEExposes stale evidence, clock offset and out-of-order observations.
TIMESurfaces conflicting evidence without collapsing uncertainty prematurely.
TRUSTTests whether an outcome changes when suspect evidence is removed offline.
WHAT IFRECOVERY WITH A GATE
DRE isolates a candidate recovery path, evaluates it against deterministic gates and retains the evidence required to explain promotion or rollback.
REPRODUCIBLE, NOT RHETORICAL
Repository-level demonstrator acceptance is complete. The results below describe engineering validation; they do not claim field qualification or certification.
pytest -q ....................................... [100%] 39 passed in 0.19sa4f77aac…VENDOR-NEUTRAL EVIDENCE LAYER
CAUSALITY · TEMPORAL INTEGRITY · REPLAY · RESILIENCE
PAMIR-CUAS provides evidence and mission assurance. Authorized external effectors remain outside PAMIR-CUAS control.
BLIND VALIDATION CHALLENGE
The next evidence gate is designed around unseen controlled Counter-UAS data evaluated against acceptance criteria declared before analysis.
CONTROLLED DATAPREDECLARED GATESREPRODUCIBLE REPORTCONTROLLED ENGAGEMENT
For controlled validation, technical review, research collaboration and system-integration discussions.
cuas@pamilanga.com ↗