Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960002606
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
0.154
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960003016
distance 0.154
#2 · Solapurcell 4960002891
distance 0.159
#3 · Solapurcell 4960003858
distance 0.177
#4 · Solapurcell 4960002465
distance 0.183
#5 · Solapurcell 4960004136
distance 0.188
#6 · Solapurcell 4960001122
distance 0.19
#7 · Solapurcell 4960003709
distance 0.197
#8 · Solapurcell 4960002593
distance 0.198
#9 · Solapurcell 4960003719
distance 0.203
#10 · Laturcell 4810001194
distance 0.206 · cross-district
#11 · Solapurcell 4960003863
distance 0.211
#12 · Solapurcell 4960002887
distance 0.214
#13 · Dharashivcell 4880003560
distance 0.216 · cross-district
#14 · Dharashivcell 4880003746
distance 0.217 · cross-district
#15 · Solapurcell 4960003712
distance 0.219
#16 · Dharashivcell 4880005555
distance 0.219 · cross-district
#17 · Solapurcell 4960002332
distance 0.221
#18 · Dharashivcell 4880003281
distance 0.221 · 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":4960002606}}}'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.