Bhārata Strata · Maharashtra · Nagpur · morphological twins
Places like cell 4840007113
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 5 distinct districts
Index confidence
0.94
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.166
lower = more alike (weighted)
The twins, closest first
#1 · Nagpurcell 4840007223
distance 0.166
#2 · Yavatmalcell 5000003380
distance 0.169 · cross-district
#3 · Akolacell 4670004557
distance 0.173 · cross-district
#4 · Wardhacell 4980003472
distance 0.173 · cross-district
#5 · Amravaticell 4680004991
distance 0.182 · cross-district
#6 · Nagpurcell 4840006102
distance 0.182
#7 · Nagpurcell 4840007002
distance 0.191
#8 · Akolacell 4670004580
distance 0.194 · cross-district
#9 · Nagpurcell 4840007979
distance 0.194
#10 · Amravaticell 4680007667
distance 0.196 · cross-district
#11 · Nagpurcell 4840006679
distance 0.2
#12 · Nagpurcell 4840007097
distance 0.204
#13 · Nagpurcell 4840007212
distance 0.204
#14 · Nagpurcell 4840007322
distance 0.211
#15 · Nagpurcell 4840007004
distance 0.212
#16 · Nagpurcell 4840006996
distance 0.215
#17 · Nagpurcell 4840005193
distance 0.215
#18 · Nagpurcell 4840007335
distance 0.216
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":4840007113}}}'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.