Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960009111
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.102
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960009412
distance 0.102
#2 · Solapurcell 4960008809
distance 0.151
#3 · Solapurcell 4960009121
distance 0.165
#4 · Solapurcell 4960009413
distance 0.168
#5 · Solapurcell 4960008904
distance 0.179
#6 · Solapurcell 4960011246
distance 0.188
#7 · Solapurcell 4960010043
distance 0.194
#8 · Solapurcell 4960008325
distance 0.198
#9 · Solapurcell 4960008520
distance 0.199
#10 · Solapurcell 4960000994
distance 0.201
#11 · Sanglicell 4930004439
distance 0.204 · cross-district
#12 · Solapurcell 4960009794
distance 0.205
#13 · Ahmednagarcell 4660002343
distance 0.21 · cross-district
#14 · Dharashivcell 4880003720
distance 0.21 · cross-district
#15 · Ahmednagarcell 4660001427
distance 0.21 · cross-district
#16 · Solapurcell 4960009498
distance 0.211
#17 · Solapurcell 4960007956
distance 0.211
#18 · Ahmednagarcell 4660001945
distance 0.211 · 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":4960009111}}}'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.