Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870013208
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.188
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870013085
distance 0.188
#2 · Dhulecell 4740000825
distance 0.23 · cross-district
#3 · Nashikcell 4870007620
distance 0.241
#4 · Nashikcell 4870007044
distance 0.246
#5 · Nashikcell 4870012865
distance 0.247
#6 · Sataracell 4940007064
distance 0.248 · cross-district
#7 · Nashikcell 4870013415
distance 0.25
#8 · Kolhapurcell 4800006081
distance 0.25 · cross-district
#9 · Sataracell 4940007174
distance 0.251 · cross-district
#10 · Nashikcell 4870013141
distance 0.258
#11 · Nashikcell 4870013210
distance 0.261
#12 · Nashikcell 4870011671
distance 0.265
#13 · Nashikcell 4870007899
distance 0.266
#14 · Nashikcell 4870012113
distance 0.267
#15 · Sataracell 4940000928
distance 0.268 · cross-district
#16 · Nashikcell 4870002755
distance 0.269
#17 · Ahmednagarcell 4660012752
distance 0.269 · cross-district
#18 · Nashikcell 4870013137
distance 0.27
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":4870013208}}}'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.