Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960010142
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
0.105
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960010306
distance 0.105
#2 · Dharashivcell 4880003536
distance 0.124 · cross-district
#3 · Solapurcell 4960010223
distance 0.129
#4 · Dharashivcell 4880003860
distance 0.13 · cross-district
#5 · Solapurcell 4960010787
distance 0.132
#6 · Solapurcell 4960009128
distance 0.134
#7 · Dharashivcell 4880003861
distance 0.137 · cross-district
#8 · Solapurcell 4960009231
distance 0.145
#9 · Solapurcell 4960010715
distance 0.152
#10 · Solapurcell 4960009785
distance 0.154
#11 · Solapurcell 4960009232
distance 0.154
#12 · Solapurcell 4960009331
distance 0.156
#13 · Dharashivcell 4880003360
distance 0.158 · cross-district
#14 · Solapurcell 4960009880
distance 0.168
#15 · Solapurcell 4960010063
distance 0.173
#16 · Dharashivcell 4880003115
distance 0.18 · cross-district
#17 · Solapurcell 4960009430
distance 0.181
#18 · Solapurcell 4960009609
distance 0.182
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":4960010142}}}'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.