Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870002546
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.184
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870001779
distance 0.184
#2 · Punecell 4900000897
distance 0.188 · cross-district
#3 · Nashikcell 4870011446
distance 0.193
#4 · Nashikcell 4870001873
distance 0.195
#5 · Ahmednagarcell 4660014138
distance 0.2 · cross-district
#6 · Nashikcell 4870008548
distance 0.205
#7 · Ahmednagarcell 4660014222
distance 0.205 · cross-district
#8 · Ahmednagarcell 4660014621
distance 0.206 · cross-district
#9 · Nashikcell 4870002873
distance 0.208
#10 · Nashikcell 4870002203
distance 0.21
#11 · Nashikcell 4870003003
distance 0.211
#12 · Nashikcell 4870002127
distance 0.216
#13 · Nashikcell 4870002751
distance 0.219
#14 · Nashikcell 4870011789
distance 0.22
#15 · Nashikcell 4870002292
distance 0.22
#16 · Ahmednagarcell 4660003014
distance 0.222 · cross-district
#17 · Sataracell 4940003870
distance 0.223 · cross-district
#18 · Nashikcell 4870002544
distance 0.224
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":4870002546}}}'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.