Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870004211
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.186
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870002246
distance 0.186
#2 · Nashikcell 4870004212
distance 0.208
#3 · Nashikcell 4870004076
distance 0.238
#4 · Ahmednagarcell 4660007737
distance 0.252 · cross-district
#5 · Nashikcell 4870004400
distance 0.256
#6 · Ahmednagarcell 4660005361
distance 0.259 · cross-district
#7 · Nashikcell 4870003954
distance 0.261
#8 · Nashikcell 4870001719
distance 0.265
#9 · Nashikcell 4870004513
distance 0.268
#10 · Nashikcell 4870004109
distance 0.27
#11 · Ahmednagarcell 4660009339
distance 0.271 · cross-district
#12 · Nashikcell 4870004224
distance 0.274
#13 · Sataracell 4940007370
distance 0.279 · cross-district
#14 · Sataracell 4940007354
distance 0.279 · cross-district
#15 · Nashikcell 4870001989
distance 0.279
#16 · Nashikcell 4870003651
distance 0.28
#17 · Sataracell 4940008295
distance 0.28 · cross-district
#18 · Nashikcell 4870003802
distance 0.29
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":4870004211}}}'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.