Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960010075
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
0.09
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960009636
distance 0.09
#2 · Solapurcell 4960009553
distance 0.097
#3 · Solapurcell 4960008945
distance 0.102
#4 · Solapurcell 4960010151
distance 0.11
#5 · Dharashivcell 4880002657
distance 0.119 · cross-district
#6 · Dharashivcell 4880001792
distance 0.12 · cross-district
#7 · Solapurcell 4960010098
distance 0.123
#8 · Solapurcell 4960009160
distance 0.123
#9 · Dharashivcell 4880001723
distance 0.124 · cross-district
#10 · Solapurcell 4960010486
distance 0.124
#11 · Solapurcell 4960008852
distance 0.125
#12 · Solapurcell 4960009737
distance 0.125
#13 · Dharashivcell 4880002117
distance 0.126 · cross-district
#14 · Solapurcell 4960009056
distance 0.126
#15 · Dharashivcell 4880002577
distance 0.127 · cross-district
#16 · Solapurcell 4960009926
distance 0.128
#17 · Solapurcell 4960010238
distance 0.128
#18 · Solapurcell 4960009048
distance 0.128
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":4960010075}}}'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.