Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870003659
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
0.203
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870003524
distance 0.203
#2 · Nashikcell 4870008036
distance 0.207
#3 · Nashikcell 4870003806
distance 0.212
#4 · Solapurcell 4960008676
distance 0.251 · cross-district
#5 · Punecell 4900001062
distance 0.254 · cross-district
#6 · Nashikcell 4870006581
distance 0.255
#7 · Solapurcell 4960008255
distance 0.255 · cross-district
#8 · Nashikcell 4870010002
distance 0.259
#9 · Nashikcell 4870005553
distance 0.26
#10 · Solapurcell 4960008148
distance 0.261 · cross-district
#11 · Nashikcell 4870004684
distance 0.263
#12 · Nashikcell 4870002744
distance 0.267
#13 · Solapurcell 4960008965
distance 0.267 · cross-district
#14 · Nashikcell 4870002074
distance 0.269
#15 · Nashikcell 4870003805
distance 0.273
#16 · Solapurcell 4960005842
distance 0.28 · cross-district
#17 · Nashikcell 4870010537
distance 0.281
#18 · Nashikcell 4870004404
distance 0.282
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":4870003659}}}'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.