Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980001491
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
0.091
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980001211
distance 0.091
#2 · Wardhacell 4980001400
distance 0.095
#3 · Wardhacell 4980001116
distance 0.103
#4 · Wardhacell 4980001401
distance 0.107
#5 · Wardhacell 4980000843
distance 0.11
#6 · Wardhacell 4980001403
distance 0.119
#7 · Wardhacell 4980001307
distance 0.121
#8 · Wardhacell 4980001402
distance 0.121
#9 · Wardhacell 4980001306
distance 0.123
#10 · Wardhacell 4980001305
distance 0.124
#11 · Bhandaracell 4710000774
distance 0.162 · cross-district
#12 · Wardhacell 4980000212
distance 0.166
#13 · Wardhacell 4980001105
distance 0.167
#14 · Chandrapurcell 4730007405
distance 0.176 · cross-district
#15 · Nagpurcell 4840000562
distance 0.18 · cross-district
#16 · Nagpurcell 4840000505
distance 0.18 · cross-district
#17 · Chandrapurcell 4730007306
distance 0.183 · cross-district
#18 · Nagpurcell 4840000627
distance 0.183 · 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":4980001491}}}'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.