Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870012138
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
42
morphology-v2 feature dimensions
Closest twin distance
0.111
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870012665
distance 0.111
#2 · Nashikcell 4870012583
distance 0.135
#3 · Dhulecell 4740000520
distance 0.141 · cross-district
#4 · Nashikcell 4870012736
distance 0.146
#5 · Nashikcell 4870012664
distance 0.167
#6 · Nashikcell 4870012815
distance 0.191
#7 · Nashikcell 4870012878
distance 0.194
#8 · Nashikcell 4870013098
distance 0.195
#9 · Jalgaoncell 4780001336
distance 0.196 · cross-district
#10 · Nashikcell 4870008095
distance 0.199
#11 · Ahmednagarcell 4660004663
distance 0.199 · cross-district
#12 · Nashikcell 4870012239
distance 0.201
#13 · Dhulecell 4740003009
distance 0.201 · cross-district
#14 · Dhulecell 4740000432
distance 0.202 · cross-district
#15 · Nashikcell 4870012129
distance 0.204
#16 · Nashikcell 4870012025
distance 0.205
#17 · Dhulecell 4740001897
distance 0.207 · cross-district
#18 · Nashikcell 4870011821
distance 0.207
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":4870012138}}}'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.