Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870006439
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 4 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.128
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870006744
distance 0.128
#2 · Nashikcell 4870007043
distance 0.189
#3 · Nashikcell 4870006593
distance 0.189
#4 · Nashikcell 4870008053
distance 0.19
#5 · Nashikcell 4870002657
distance 0.19
#6 · Nashikcell 4870006151
distance 0.191
#7 · Sataracell 4940006843
distance 0.204 · cross-district
#8 · Ahmednagarcell 4660014520
distance 0.211 · cross-district
#9 · Nashikcell 4870004118
distance 0.213
#10 · Ahmednagarcell 4660012734
distance 0.214 · cross-district
#11 · Nashikcell 4870002130
distance 0.216
#12 · Ahmednagarcell 4660006762
distance 0.221 · cross-district
#13 · Punecell 4900007989
distance 0.223 · cross-district
#14 · Sataracell 4940007715
distance 0.223 · cross-district
#15 · Nashikcell 4870007186
distance 0.224
#16 · Nashikcell 4870009871
distance 0.226
#17 · Nashikcell 4870007619
distance 0.226
#18 · Nashikcell 4870007906
distance 0.226
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":4870006439}}}'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.