Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870007643
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.096
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870007642
distance 0.096
#2 · Nashikcell 4870007933
distance 0.119
#3 · Nashikcell 4870007932
distance 0.159
#4 · Nashikcell 4870007348
distance 0.198
#5 · Nashikcell 4870007788
distance 0.217
#6 · Nashikcell 4870007626
distance 0.222
#7 · Chhatrapati Sambhajinagarcell 4690005043
distance 0.229 · cross-district
#8 · Nashikcell 4870007486
distance 0.249
#9 · Nashikcell 4870006321
distance 0.249
#10 · Ahmednagarcell 4660013796
distance 0.25 · cross-district
#11 · Nashikcell 4870007342
distance 0.253
#12 · Nashikcell 4870007775
distance 0.259
#13 · Nashikcell 4870008532
distance 0.259
#14 · Nashikcell 4870008063
distance 0.261
#15 · Chhatrapati Sambhajinagarcell 4690003941
distance 0.262 · cross-district
#16 · Ahmednagarcell 4660014509
distance 0.264 · cross-district
#17 · Nashikcell 4870008083
distance 0.265
#18 · Nashikcell 4870007484
distance 0.266
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":4870007643}}}'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.