Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960005737
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 5 distinct districts
Index confidence
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.111
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960005461
distance 0.111
#2 · Solapurcell 4960003013
distance 0.129
#3 · Solapurcell 4960004116
distance 0.141
#4 · Solapurcell 4960001803
distance 0.164
#5 · Solapurcell 4960007210
distance 0.173
#6 · Solapurcell 4960005738
distance 0.179
#7 · Solapurcell 4960005318
distance 0.18
#8 · Solapurcell 4960003544
distance 0.183
#9 · Jalnacell 4790003096
distance 0.185 · cross-district
#10 · Solapurcell 4960003266
distance 0.193
#11 · Beedcell 4700007062
distance 0.194 · cross-district
#12 · Buldhanacell 4720005710
distance 0.195 · cross-district
#13 · Solapurcell 4960000583
distance 0.196
#14 · Solapurcell 4960010243
distance 0.196
#15 · Beedcell 4700000335
distance 0.197 · cross-district
#16 · Jalnacell 4790003608
distance 0.198 · cross-district
#17 · Parbhanicell 4890003165
distance 0.199 · cross-district
#18 · Solapurcell 4960006558
distance 0.2
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":4960005737}}}'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.