Bhārata Strata · Maharashtra · Nagpur · morphological twins
Places like cell 4840004607
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
0.194
lower = more alike (weighted)
The twins, closest first
#1 · Bhandaracell 4710002893
distance 0.194 · cross-district
#2 · Nagpurcell 4840005872
distance 0.195
#3 · Nagpurcell 4840007138
distance 0.204
#4 · Nagpurcell 4840006825
distance 0.207
#5 · Nagpurcell 4840004614
distance 0.208
#6 · Nagpurcell 4840005336
distance 0.21
#7 · Nagpurcell 4840002364
distance 0.215
#8 · Gondiacell 4760000916
distance 0.215 · cross-district
#9 · Buldhanacell 4720006406
distance 0.217 · cross-district
#10 · Wardhacell 4980000123
distance 0.218 · cross-district
#11 · Nagpurcell 4840002613
distance 0.221
#12 · Nagpurcell 4840004940
distance 0.222
#13 · Nagpurcell 4840007235
distance 0.222
#14 · Nagpurcell 4840004817
distance 0.223
#15 · Nagpurcell 4840006136
distance 0.223
#16 · Nagpurcell 4840004973
distance 0.223
#17 · Wardhacell 4980001257
distance 0.224 · cross-district
#18 · Gondiacell 4760003351
distance 0.224 · 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":484,"cluster_id":4840004607}}}'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.