Bhārata Strata · Maharashtra · Wardha · morphological twins
Places like cell 4980001096
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
0.133
lower = more alike (weighted)
The twins, closest first
#1 · Wardhacell 4980000296
distance 0.133
#2 · Chandrapurcell 4730007293
distance 0.143 · cross-district
#3 · Wardhacell 4980003039
distance 0.15
#4 · Chandrapurcell 4730007741
distance 0.163 · cross-district
#5 · Wardhacell 4980001111
distance 0.166
#6 · Nagpurcell 4840001132
distance 0.173 · cross-district
#7 · Wardhacell 4980001301
distance 0.175
#8 · Wardhacell 4980002499
distance 0.178
#9 · Wardhacell 4980000394
distance 0.179
#10 · Wardhacell 4980000215
distance 0.186
#11 · Wardhacell 4980003229
distance 0.19
#12 · Chandrapurcell 4730008140
distance 0.19 · cross-district
#13 · Wardhacell 4980001020
distance 0.192
#14 · Wardhacell 4980001299
distance 0.194
#15 · Yavatmalcell 5000007033
distance 0.196 · cross-district
#16 · Nagpurcell 4840002272
distance 0.197 · cross-district
#17 · Wardhacell 4980003241
distance 0.2
#18 · Wardhacell 4980002291
distance 0.201
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":4980001096}}}'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.