Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960003702
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 2 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.123
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960003568
distance 0.123
#2 · Solapurcell 4960002472
distance 0.128
#3 · Solapurcell 4960003577
distance 0.131
#4 · Solapurcell 4960002192
distance 0.148
#5 · Solapurcell 4960003985
distance 0.156
#6 · Solapurcell 4960004125
distance 0.157
#7 · Solapurcell 4960002737
distance 0.157
#8 · Solapurcell 4960001574
distance 0.16
#9 · Solapurcell 4960003302
distance 0.16
#10 · Dharashivcell 4880004044
distance 0.165 · cross-district
#11 · Solapurcell 4960003708
distance 0.177
#12 · Dharashivcell 4880003004
distance 0.178 · cross-district
#13 · Solapurcell 4960003706
distance 0.181
#14 · Dharashivcell 4880003628
distance 0.182 · cross-district
#15 · Dharashivcell 4880003133
distance 0.183 · cross-district
#16 · Dharashivcell 4880003647
distance 0.183 · cross-district
#17 · Solapurcell 4960002331
distance 0.185
#18 · Solapurcell 4960004144
distance 0.186
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":4960003702}}}'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.