Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870003682
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.088
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870003004
distance 0.088
#2 · Nashikcell 4870003540
distance 0.1
#3 · Nashikcell 4870003401
distance 0.105
#4 · Nashikcell 4870005272
distance 0.122
#5 · Nashikcell 4870003683
distance 0.123
#6 · Nashikcell 4870003829
distance 0.137
#7 · Nashikcell 4870003262
distance 0.139
#8 · Nashikcell 4870004984
distance 0.145
#9 · Nashikcell 4870003268
distance 0.147
#10 · Punecell 4900001728
distance 0.152 · cross-district
#11 · Punecell 4900000121
distance 0.153 · cross-district
#12 · Ahmednagarcell 4660013352
distance 0.154 · cross-district
#13 · Nashikcell 4870003134
distance 0.154
#14 · Nashikcell 4870004125
distance 0.154
#15 · Ahmednagarcell 4660013353
distance 0.154 · cross-district
#16 · Ahmednagarcell 4660013258
distance 0.156 · cross-district
#17 · Ahmednagarcell 4660013023
distance 0.157 · cross-district
#18 · Nashikcell 4870004124
distance 0.158
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":4870003682}}}'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.