Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960000534
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
0.099
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960000895
distance 0.099
#2 · Sanglicell 4930004448
distance 0.13 · cross-district
#3 · Sanglicell 4930005010
distance 0.14 · cross-district
#4 · Sanglicell 4930005141
distance 0.141 · cross-district
#5 · Solapurcell 4960000740
distance 0.142
#6 · Solapurcell 4960000344
distance 0.144
#7 · Solapurcell 4960000285
distance 0.145
#8 · Sanglicell 4930004447
distance 0.145 · cross-district
#9 · Solapurcell 4960000008
distance 0.146
#10 · Solapurcell 4960000472
distance 0.147
#11 · Solapurcell 4960000353
distance 0.15
#12 · Sanglicell 4930005011
distance 0.15 · cross-district
#13 · Solapurcell 4960000568
distance 0.153
#14 · Solapurcell 4960000533
distance 0.154
#15 · Sanglicell 4930004444
distance 0.154 · cross-district
#16 · Solapurcell 4960000182
distance 0.154
#17 · Solapurcell 4960000988
distance 0.156
#18 · Solapurcell 4960000468
distance 0.156
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":4960000534}}}'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.