Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001694
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.171
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960001948
distance 0.171
#2 · Solapurcell 4960003586
distance 0.189
#3 · Solapurcell 4960004280
distance 0.193
#4 · Solapurcell 4960001703
distance 0.195
#5 · Solapurcell 4960001818
distance 0.196
#6 · Solapurcell 4960003439
distance 0.198
#7 · Solapurcell 4960004902
distance 0.199
#8 · Solapurcell 4960001692
distance 0.202
#9 · Solapurcell 4960001464
distance 0.202
#10 · Solapurcell 4960001459
distance 0.21
#11 · Dharashivcell 4880004047
distance 0.215 · cross-district
#12 · Dharashivcell 4880003374
distance 0.223 · cross-district
#13 · Solapurcell 4960004279
distance 0.223
#14 · Parbhanicell 4890000397
distance 0.224 · cross-district
#15 · Sanglicell 4930003125
distance 0.229 · cross-district
#16 · Solapurcell 4960004889
distance 0.231
#17 · Solapurcell 4960000308
distance 0.232
#18 · Parbhanicell 4890000707
distance 0.233 · 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":4960001694}}}'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.