Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980000743
The MH-36 locality cells most similar to this Wardha cell across terrain, built form, land cover, climate dynamics and connectivity — ranked by a GUM-confidence-weighted (R24) distance, with the temporal block down-weighted. Each twin is a real cell with its own witnessed dossier.
Twins found
18
across 4 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.141
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980000744
distance 0.141
#2 · Wardhacell 4980001580
distance 0.163
#3 · Nagpurcell 4840000555
distance 0.178 · cross-district
#4 · Wardhacell 4980002601
distance 0.181
#5 · Wardhacell 4980001279
distance 0.182
#6 · Wardhacell 4980001189
distance 0.186
#7 · Wardhacell 4980000600
distance 0.191
#8 · Nagpurcell 4840000618
distance 0.198 · cross-district
#9 · Chandrapurcell 4730004794
distance 0.2 · cross-district
#10 · Wardhacell 4980000481
distance 0.2
#11 · Wardhacell 4980000530
distance 0.204
#12 · Chandrapurcell 4730007840
distance 0.204 · cross-district
#13 · Wardhacell 4980000527
distance 0.211
#14 · Yavatmalcell 5000006352
distance 0.211 · cross-district
#15 · Wardhacell 4980000666
distance 0.211
#16 · Wardhacell 4980000306
distance 0.213
#17 · Nagpurcell 4840000992
distance 0.215 · cross-district
#18 · Wardhacell 4980001574
distance 0.217
witness: find_twins — morphology-twin-index-v2 (R24, GUM-confidence-weighted, magnitude-aware, temporal block down-weighted). Distance is the weighted feature distance; lower is more alike. Cross-district twins are the discriminative signal.
Re-witness these twins
curl -s https://api.gridrock.ai/mcp -H 'Content-Type: application/json' \
-H 'Accept: application/json, text/event-stream' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"find_twins",
"arguments":{"admin_code":498,"cluster_id":4980000743}}}'Scope: the live MH-36 cube. Twins are computed from the sha-verified morphology-v2 vector; the engine supplies no goodness/suitability ranking — only morphological similarity.