Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960010008
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.099
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960009056
distance 0.099
#2 · Solapurcell 4960009469
distance 0.116
#3 · Solapurcell 4960009266
distance 0.118
#4 · Solapurcell 4960010238
distance 0.121
#5 · Solapurcell 4960009835
distance 0.122
#6 · Dharashivcell 4880001968
distance 0.123 · cross-district
#7 · Solapurcell 4960009557
distance 0.124
#8 · Dharashivcell 4880002044
distance 0.126 · cross-district
#9 · Solapurcell 4960012173
distance 0.127
#10 · Solapurcell 4960010095
distance 0.128
#11 · Solapurcell 4960009371
distance 0.13
#12 · Solapurcell 4960010326
distance 0.133
#13 · Solapurcell 4960008852
distance 0.135
#14 · Dharashivcell 4880002046
distance 0.139 · cross-district
#15 · Solapurcell 4960011886
distance 0.139
#16 · Solapurcell 4960011036
distance 0.139
#17 · Laturcell 4810003559
distance 0.139 · cross-district
#18 · Dharashivcell 4880006210
distance 0.14 · 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":4960010008}}}'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.