Bhārata Strata · Maharashtra · Nagpur · morphological twins
Places like cell 4840000740
The MH-36 locality cells most similar to this Nagpur 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 6 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.133
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710000701
distance 0.133 · cross-district
#2 · Nagpurcell 4840000552
distance 0.148
#3 · Nagpurcell 4840000996
distance 0.152
#4 · Nagpurcell 4840001132
distance 0.155
#5 · Nagpurcell 4840001356
distance 0.16
#6 · Gondiacell 4760000569
distance 0.167 · cross-district
#7 · Nagpurcell 4840000494
distance 0.167
#8 · Yavatmalcell 5000002717
distance 0.176 · cross-district
#9 · Nagpurcell 4840004707
distance 0.179
#10 · Nagpurcell 4840001212
distance 0.179
#11 · Wardhacell 4980002456
distance 0.183 · cross-district
#12 · Nagpurcell 4840000997
distance 0.184
#13 · Wardhacell 4980002291
distance 0.186 · cross-district
#14 · Nagpurcell 4840000269
distance 0.187
#15 · Nagpurcell 4840001440
distance 0.189
#16 · Nagpurcell 4840001618
distance 0.196
#17 · Chandrapurcell 4730007741
distance 0.198 · cross-district
#18 · Nagpurcell 4840001459
distance 0.198
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":484,"cluster_id":4840000740}}}'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.