Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960007058
The MH-36 locality cells most similar to this Solapur 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.188
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960004693
distance 0.188
#2 · Solapurcell 4960006921
distance 0.195
#3 · Solapurcell 4960006928
distance 0.212
#4 · Solapurcell 4960004841
distance 0.219
#5 · Sanglicell 4930003965
distance 0.22 · cross-district
#6 · Solapurcell 4960006526
distance 0.234
#7 · Solapurcell 4960006925
distance 0.237
#8 · Solapurcell 4960006118
distance 0.238
#9 · Jalnacell 4790004316
distance 0.24 · cross-district
#10 · Jalnacell 4790004643
distance 0.242 · cross-district
#11 · Sanglicell 4930003796
distance 0.243 · cross-district
#12 · Jalnacell 4790004916
distance 0.243 · cross-district
#13 · Solapurcell 4960006914
distance 0.245
#14 · Solapurcell 4960005999
distance 0.247
#15 · Solapurcell 4960006403
distance 0.247
#16 · Solapurcell 4960005455
distance 0.25
#17 · Solapurcell 4960007712
distance 0.253
#18 · Jalnacell 4790002134
distance 0.254 · 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":496,"cluster_id":4960007058}}}'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.