Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960011282
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.086
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960011204
distance 0.086
#2 · Solapurcell 4960010970
distance 0.086
#3 · Solapurcell 4960010890
distance 0.112
#4 · Solapurcell 4960010818
distance 0.122
#5 · Solapurcell 4960011360
distance 0.13
#6 · Solapurcell 4960011206
distance 0.132
#7 · Solapurcell 4960010744
distance 0.133
#8 · Dharashivcell 4880002801
distance 0.138 · cross-district
#9 · Solapurcell 4960011128
distance 0.142
#10 · Solapurcell 4960011361
distance 0.148
#11 · Dharashivcell 4880003882
distance 0.151 · cross-district
#12 · Solapurcell 4960010892
distance 0.153
#13 · Dharashivcell 4880003198
distance 0.156 · cross-district
#14 · Solapurcell 4960011890
distance 0.159
#15 · Solapurcell 4960010668
distance 0.163
#16 · Solapurcell 4960011126
distance 0.163
#17 · Dharashivcell 4880003180
distance 0.166 · cross-district
#18 · Dharashivcell 4880004050
distance 0.166 · 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":4960011282}}}'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.