Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870010385
The MH-36 locality cells most similar to this Nashik 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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.266
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870010386
distance 0.266
#2 · Nashikcell 4870010252
distance 0.284
#3 · Nashikcell 4870011268
distance 0.32
#4 · Nashikcell 4870009845
distance 0.325
#5 · Nashikcell 4870009722
distance 0.328
#6 · Nashikcell 4870011267
distance 0.335
#7 · Nashikcell 4870010107
distance 0.337
#8 · Kolhapurcell 4800005515
distance 0.346 · cross-district
#9 · Kolhapurcell 4800005605
distance 0.361 · cross-district
#10 · Nashikcell 4870009021
distance 0.363
#11 · Nashikcell 4870009976
distance 0.37
#12 · Kolhapurcell 4800005745
distance 0.382 · cross-district
#13 · Nashikcell 4870009969
distance 0.382
#14 · Kolhapurcell 4800003234
distance 0.387 · cross-district
#15 · Ahmednagarcell 4660013612
distance 0.39 · cross-district
#16 · Nashikcell 4870010378
distance 0.392
#17 · Nashikcell 4870009588
distance 0.392
#18 · Nashikcell 4870008455
distance 0.392
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":487,"cluster_id":4870010385}}}'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.