Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870001477
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
0.188
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870000536
distance 0.188
#2 · Nashikcell 4870000755
distance 0.205
#3 · Punecell 4900012766
distance 0.249 · cross-district
#4 · Punecell 4900012996
distance 0.256 · cross-district
#5 · Nashikcell 4870001381
distance 0.263
#6 · Nashikcell 4870000530
distance 0.267
#7 · Nashikcell 4870001182
distance 0.27
#8 · Punecell 4900012697
distance 0.271 · cross-district
#9 · Ahmednagarcell 4660011494
distance 0.273 · cross-district
#10 · Nashikcell 4870001382
distance 0.278
#11 · Nashikcell 4870001383
distance 0.28
#12 · Nashikcell 4870001384
distance 0.29
#13 · Solapurcell 4960007905
distance 0.292 · cross-district
#14 · Nashikcell 4870003962
distance 0.299
#15 · Punecell 4900012833
distance 0.299 · cross-district
#16 · Punecell 4900012541
distance 0.299 · cross-district
#17 · Nashikcell 4870001921
distance 0.303
#18 · Nashikcell 4870000919
distance 0.304
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":4870001477}}}'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.