Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960005162
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
0.117
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960006275
distance 0.117
#2 · Solapurcell 4960005313
distance 0.12
#3 · Solapurcell 4960006276
distance 0.125
#4 · Solapurcell 4960005741
distance 0.126
#5 · Solapurcell 4960006140
distance 0.132
#6 · Solapurcell 4960007090
distance 0.133
#7 · Solapurcell 4960005474
distance 0.149
#8 · Buldhanacell 4720005076
distance 0.152 · cross-district
#9 · Solapurcell 4960005877
distance 0.155
#10 · Solapurcell 4960007467
distance 0.156
#11 · Chhatrapati Sambhajinagarcell 4690000189
distance 0.157 · cross-district
#12 · Buldhanacell 4720005978
distance 0.157 · cross-district
#13 · Solapurcell 4960002301
distance 0.159
#14 · Solapurcell 4960004870
distance 0.159
#15 · Dharashivcell 4880000874
distance 0.161 · cross-district
#16 · Solapurcell 4960005022
distance 0.165
#17 · Solapurcell 4960007724
distance 0.165
#18 · Solapurcell 4960006008
distance 0.166
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":4960005162}}}'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.