Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960005347
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
0.94
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.118
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960006583
distance 0.118
#2 · Solapurcell 4960007621
distance 0.119
#3 · Solapurcell 4960006717
distance 0.121
#4 · Solapurcell 4960004584
distance 0.125
#5 · Dharashivcell 4880002894
distance 0.133 · cross-district
#6 · Solapurcell 4960004883
distance 0.135
#7 · Dharashivcell 4880001730
distance 0.136 · cross-district
#8 · Solapurcell 4960007226
distance 0.137
#9 · Solapurcell 4960006569
distance 0.139
#10 · Solapurcell 4960006043
distance 0.139
#11 · Dharashivcell 4880002859
distance 0.14 · cross-district
#12 · Solapurcell 4960006576
distance 0.144
#13 · Solapurcell 4960004748
distance 0.145
#14 · Laturcell 4810001275
distance 0.147 · cross-district
#15 · Solapurcell 4960005503
distance 0.148
#16 · Dharashivcell 4880002724
distance 0.15 · cross-district
#17 · Solapurcell 4960007513
distance 0.151
#18 · Solapurcell 4960006042
distance 0.152
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":4960005347}}}'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.