Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870002183
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
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.217
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870003946
distance 0.217
#2 · Nashikcell 4870002165
distance 0.228
#3 · Punecell 4900000197
distance 0.292 · cross-district
#4 · Nashikcell 4870013143
distance 0.316
#5 · Nashikcell 4870003123
distance 0.32
#6 · Nashikcell 4870002263
distance 0.323
#7 · Sataracell 4940003865
distance 0.336 · cross-district
#8 · Punecell 4900000224
distance 0.342 · cross-district
#9 · Sataracell 4940005092
distance 0.345 · cross-district
#10 · Nashikcell 4870002853
distance 0.346
#11 · Nashikcell 4870001564
distance 0.351
#12 · Nashikcell 4870003515
distance 0.353
#13 · Nashikcell 4870001093
distance 0.353
#14 · Nashikcell 4870003117
distance 0.353
#15 · Nashikcell 4870000920
distance 0.356
#16 · Sataracell 4940005937
distance 0.357 · cross-district
#17 · Punecell 4900000905
distance 0.357 · cross-district
#18 · Solapurcell 4960009377
distance 0.358 · 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":4870002183}}}'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.