Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960011441
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.1
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960012176
distance 0.1
#2 · Solapurcell 4960010806
distance 0.112
#3 · Solapurcell 4960011351
distance 0.115
#4 · Dharashivcell 4880001640
distance 0.136 · cross-district
#5 · Solapurcell 4960010251
distance 0.139
#6 · Solapurcell 4960011198
distance 0.143
#7 · Solapurcell 4960010331
distance 0.143
#8 · Solapurcell 4960011711
distance 0.149
#9 · Laturcell 4810004348
distance 0.149 · cross-district
#10 · Solapurcell 4960009551
distance 0.153
#11 · Laturcell 4810003055
distance 0.156 · cross-district
#12 · Solapurcell 4960010003
distance 0.16
#13 · Solapurcell 4960009750
distance 0.163
#14 · Solapurcell 4960009902
distance 0.168
#15 · Solapurcell 4960011868
distance 0.169
#16 · Beedcell 4700000041
distance 0.17 · cross-district
#17 · Laturcell 4810002389
distance 0.171 · cross-district
#18 · Laturcell 4810002582
distance 0.171 · 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":4960011441}}}'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.