Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870010420
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.136
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870011542
distance 0.136
#2 · Nashikcell 4870011183
distance 0.154
#3 · Nashikcell 4870010418
distance 0.174
#4 · Ahmednagarcell 4660013912
distance 0.174 · cross-district
#5 · Nashikcell 4870011184
distance 0.188
#6 · Ahmednagarcell 4660013697
distance 0.192 · cross-district
#7 · Ahmednagarcell 4660014569
distance 0.198 · cross-district
#8 · Nashikcell 4870010419
distance 0.208
#9 · Nashikcell 4870010159
distance 0.21
#10 · Ahmednagarcell 4660013816
distance 0.212 · cross-district
#11 · Nashikcell 4870011064
distance 0.212
#12 · Nashikcell 4870002208
distance 0.215
#13 · Nashikcell 4870001489
distance 0.216
#14 · Nashikcell 4870008787
distance 0.216
#15 · Nashikcell 4870002200
distance 0.217
#16 · Nashikcell 4870011434
distance 0.218
#17 · Ahmednagarcell 4660014409
distance 0.219 · cross-district
#18 · Nashikcell 4870000943
distance 0.219
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":4870010420}}}'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.