Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960012233
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
0.142
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960010729
distance 0.142
#2 · Solapurcell 4960011695
distance 0.149
#3 · Beedcell 4700000001
distance 0.15 · cross-district
#4 · Solapurcell 4960011190
distance 0.151
#5 · Solapurcell 4960010875
distance 0.153
#6 · Laturcell 4810003145
distance 0.156 · cross-district
#7 · Solapurcell 4960011189
distance 0.157
#8 · Solapurcell 4960012179
distance 0.157
#9 · Laturcell 4810003044
distance 0.159 · cross-district
#10 · Solapurcell 4960011032
distance 0.159
#11 · Solapurcell 4960012043
distance 0.16
#12 · Solapurcell 4960010940
distance 0.163
#13 · Laturcell 4810003340
distance 0.164 · cross-district
#14 · Solapurcell 4960011445
distance 0.166
#15 · Dharashivcell 4880002618
distance 0.168 · cross-district
#16 · Solapurcell 4960000323
distance 0.173
#17 · Laturcell 4810003139
distance 0.174 · cross-district
#18 · Solapurcell 4960011962
distance 0.175
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":4960012233}}}'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.