Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960001141
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
0.142
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720001608
distance 0.142 · cross-district
#2 · Solapurcell 4960001271
distance 0.149
#3 · Solapurcell 4960002486
distance 0.161
#4 · Solapurcell 4960005075
distance 0.163
#5 · Solapurcell 4960001494
distance 0.167
#6 · Solapurcell 4960004026
distance 0.167
#7 · Solapurcell 4960005930
distance 0.169
#8 · Solapurcell 4960003052
distance 0.178
#9 · Solapurcell 4960004016
distance 0.183
#10 · Buldhanacell 4720002238
distance 0.184 · cross-district
#11 · Solapurcell 4960003867
distance 0.186
#12 · Buldhanacell 4720002538
distance 0.189 · cross-district
#13 · Solapurcell 4960002221
distance 0.19
#14 · Solapurcell 4960001336
distance 0.195
#15 · Buldhanacell 4720003012
distance 0.196 · cross-district
#16 · Solapurcell 4960002095
distance 0.196
#17 · Solapurcell 4960004921
distance 0.197
#18 · Jalgaoncell 4780002862
distance 0.198 · 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":4960001141}}}'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.