Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960005421
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.119
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960004966
distance 0.119
#2 · Solapurcell 4960004964
distance 0.134
#3 · Solapurcell 4960005120
distance 0.142
#4 · Ahmednagarcell 4660011981
distance 0.143 · cross-district
#5 · Solapurcell 4960004969
distance 0.143
#6 · Solapurcell 4960006500
distance 0.149
#7 · Solapurcell 4960004825
distance 0.155
#8 · Solapurcell 4960006630
distance 0.155
#9 · Ahmednagarcell 4660007338
distance 0.156 · cross-district
#10 · Solapurcell 4960005263
distance 0.162
#11 · Solapurcell 4960011461
distance 0.166
#12 · Solapurcell 4960006515
distance 0.167
#13 · Sataracell 4940007925
distance 0.171 · cross-district
#14 · Solapurcell 4960005126
distance 0.171
#15 · Sataracell 4940007914
distance 0.174 · cross-district
#16 · Solapurcell 4960006374
distance 0.18
#17 · Sataracell 4940008134
distance 0.182 · cross-district
#18 · Solapurcell 4960001406
distance 0.183
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":4960005421}}}'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.