Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001005
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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.087
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960000675
distance 0.087
#2 · Solapurcell 4960001000
distance 0.089
#3 · Sanglicell 4930004325
distance 0.096 · cross-district
#4 · Solapurcell 4960000905
distance 0.1
#5 · Solapurcell 4960000910
distance 0.113
#6 · Solapurcell 4960000676
distance 0.114
#7 · Sanglicell 4930002977
distance 0.12 · cross-district
#8 · Solapurcell 4960000419
distance 0.125
#9 · Sanglicell 4930004326
distance 0.127 · cross-district
#10 · Solapurcell 4960000999
distance 0.128
#11 · Solapurcell 4960002205
distance 0.13
#12 · Solapurcell 4960000913
distance 0.139
#13 · Solapurcell 4960000919
distance 0.139
#14 · Sanglicell 4930004176
distance 0.141 · cross-district
#15 · Solapurcell 4960000689
distance 0.145
#16 · Sanglicell 4930003679
distance 0.147 · cross-district
#17 · Solapurcell 4960001003
distance 0.148
#18 · Sanglicell 4930003306
distance 0.15 · 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":4960001005}}}'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.