Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960003189
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.131
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960001842
distance 0.131
#2 · Solapurcell 4960002937
distance 0.188
#3 · Solapurcell 4960003208
distance 0.193
#4 · Solapurcell 4960004005
distance 0.196
#5 · Solapurcell 4960001474
distance 0.2
#6 · Buldhanacell 4720000854
distance 0.201 · cross-district
#7 · Solapurcell 4960004030
distance 0.204
#8 · Solapurcell 4960002387
distance 0.204
#9 · Solapurcell 4960003732
distance 0.207
#10 · Solapurcell 4960003078
distance 0.21
#11 · Buldhanacell 4720000546
distance 0.211 · cross-district
#12 · Dharashivcell 4880001000
distance 0.211 · cross-district
#13 · Buldhanacell 4720003093
distance 0.213 · cross-district
#14 · Solapurcell 4960003828
distance 0.214
#15 · Solapurcell 4960002643
distance 0.214
#16 · Solapurcell 4960003866
distance 0.215
#17 · Buldhanacell 4720000532
distance 0.215 · cross-district
#18 · Solapurcell 4960002791
distance 0.215
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":4960003189}}}'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.