Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960010055
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.106
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960009329
distance 0.106
#2 · Solapurcell 4960009698
distance 0.11
#3 · Solapurcell 4960010378
distance 0.129
#4 · Solapurcell 4960010138
distance 0.13
#5 · Solapurcell 4960009881
distance 0.13
#6 · Solapurcell 4960010144
distance 0.151
#7 · Dharashivcell 4880002978
distance 0.158 · cross-district
#8 · Dharashivcell 4880003726
distance 0.159 · cross-district
#9 · Dharashivcell 4880004079
distance 0.16 · cross-district
#10 · Solapurcell 4960008427
distance 0.164
#11 · Solapurcell 4960010381
distance 0.166
#12 · Dharashivcell 4880002939
distance 0.166 · cross-district
#13 · Solapurcell 4960009798
distance 0.167
#14 · Solapurcell 4960010557
distance 0.169
#15 · Solapurcell 4960009880
distance 0.169
#16 · Solapurcell 4960008909
distance 0.172
#17 · Solapurcell 4960009884
distance 0.172
#18 · Dharashivcell 4880003856
distance 0.173 · 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":4960010055}}}'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.