Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960010152
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
0.07
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960010230
distance 0.07
#2 · Solapurcell 4960008570
distance 0.072
#3 · Dharashivcell 4880002278
distance 0.078 · cross-district
#4 · Dharashivcell 4880002536
distance 0.088 · cross-district
#5 · Solapurcell 4960009915
distance 0.092
#6 · Dharashivcell 4880002657
distance 0.094 · cross-district
#7 · Solapurcell 4960009546
distance 0.097
#8 · Solapurcell 4960008662
distance 0.102
#9 · Solapurcell 4960009051
distance 0.103
#10 · Solapurcell 4960009723
distance 0.111
#11 · Solapurcell 4960010486
distance 0.114
#12 · Dharashivcell 4880002577
distance 0.115 · cross-district
#13 · Dharashivcell 4880002617
distance 0.115 · cross-district
#14 · Solapurcell 4960008569
distance 0.118
#15 · Solapurcell 4960008464
distance 0.12
#16 · Solapurcell 4960009630
distance 0.12
#17 · Solapurcell 4960009160
distance 0.122
#18 · Solapurcell 4960009142
distance 0.124
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":4960010152}}}'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.