Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980004365
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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.105
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980004311
distance 0.105
#2 · Wardhacell 4980004263
distance 0.11
#3 · Wardhacell 4980004410
distance 0.165
#4 · Yavatmalcell 5000009651
distance 0.166 · cross-district
#5 · Wardhacell 4980004198
distance 0.168
#6 · Wardhacell 4980003925
distance 0.169
#7 · Wardhacell 4980004273
distance 0.176
#8 · Wardhacell 4980004427
distance 0.178
#9 · Yavatmalcell 5000008978
distance 0.179 · cross-district
#10 · Wardhacell 4980003612
distance 0.18
#11 · Wardhacell 4980004327
distance 0.184
#12 · Wardhacell 4980003911
distance 0.187
#13 · Yavatmalcell 5000009650
distance 0.189 · cross-district
#14 · Wardhacell 4980004654
distance 0.19
#15 · Yavatmalcell 5000010393
distance 0.191 · cross-district
#16 · Yavatmalcell 5000009649
distance 0.194 · cross-district
#17 · Yavatmalcell 5000008859
distance 0.194 · cross-district
#18 · Wardhacell 4980004261
distance 0.195
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":4980004365}}}'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.