Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960011030
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
0.122
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960005367
distance 0.122
#2 · Solapurcell 4960011957
distance 0.127
#3 · Dharashivcell 4880001196
distance 0.129 · cross-district
#4 · Solapurcell 4960011262
distance 0.136
#5 · Dharashivcell 4880002277
distance 0.14 · cross-district
#6 · Dharashivcell 4880004362
distance 0.142 · cross-district
#7 · Dharashivcell 4880002211
distance 0.152 · cross-district
#8 · Solapurcell 4960008244
distance 0.152
#9 · Solapurcell 4960005225
distance 0.152
#10 · Solapurcell 4960011712
distance 0.158
#11 · Solapurcell 4960011191
distance 0.162
#12 · Solapurcell 4960010576
distance 0.164
#13 · Solapurcell 4960011874
distance 0.164
#14 · Solapurcell 4960010962
distance 0.164
#15 · Solapurcell 4960011797
distance 0.165
#16 · Solapurcell 4960009257
distance 0.165
#17 · Solapurcell 4960009906
distance 0.167
#18 · Washimcell 4990000685
distance 0.168 · 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":4960011030}}}'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.