Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980001435
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.153
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980002173
distance 0.153
#2 · Wardhacell 4980001257
distance 0.158
#3 · Wardhacell 4980002254
distance 0.169
#4 · Wardhacell 4980002418
distance 0.178
#5 · Wardhacell 4980001896
distance 0.181
#6 · Wardhacell 4980002853
distance 0.184
#7 · Wardhacell 4980001909
distance 0.186
#8 · Yavatmalcell 5000007237
distance 0.19 · cross-district
#9 · Wardhacell 4980002572
distance 0.192
#10 · Wardhacell 4980002902
distance 0.195
#11 · Wardhacell 4980001081
distance 0.202
#12 · Wardhacell 4980002629
distance 0.204
#13 · Yavatmalcell 5000006957
distance 0.207 · cross-district
#14 · Nagpurcell 4840000658
distance 0.208 · cross-district
#15 · Wardhacell 4980002180
distance 0.21
#16 · Yavatmalcell 5000007891
distance 0.21 · cross-district
#17 · Yavatmalcell 5000006859
distance 0.211 · cross-district
#18 · Nagpurcell 4840004817
distance 0.212 · cross-district
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":4980001435}}}'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.