Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870006460
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
0.101
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660014306
distance 0.101 · cross-district
#2 · Nashikcell 4870007058
distance 0.12
#3 · Nashikcell 4870005877
distance 0.123
#4 · Nashikcell 4870003865
distance 0.125
#5 · Nashikcell 4870007199
distance 0.132
#6 · Nashikcell 4870006320
distance 0.139
#7 · Nashikcell 4870006316
distance 0.144
#8 · Ahmednagarcell 4660013148
distance 0.145 · cross-district
#9 · Nashikcell 4870006317
distance 0.146
#10 · Nashikcell 4870006918
distance 0.147
#11 · Nashikcell 4870006168
distance 0.15
#12 · Nashikcell 4870006617
distance 0.152
#13 · Nashikcell 4870006314
distance 0.154
#14 · Nashikcell 4870003721
distance 0.154
#15 · Ahmednagarcell 4660011390
distance 0.157 · cross-district
#16 · Nashikcell 4870001867
distance 0.16
#17 · Chhatrapati Sambhajinagarcell 4690004416
distance 0.16 · cross-district
#18 · Sanglicell 4930006163
distance 0.162 · cross-district
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":4870006460}}}'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.