Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960005272
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.122
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960005112
distance 0.122
#2 · Solapurcell 4960006235
distance 0.15
#3 · Solapurcell 4960004823
distance 0.151
#4 · Ahmednagarcell 4660000016
distance 0.161 · cross-district
#5 · Solapurcell 4960007149
distance 0.167
#6 · Ahmednagarcell 4660011844
distance 0.171 · cross-district
#7 · Solapurcell 4960008858
distance 0.179
#8 · Solapurcell 4960004968
distance 0.181
#9 · Solapurcell 4960008149
distance 0.182
#10 · Solapurcell 4960008577
distance 0.184
#11 · Solapurcell 4960006639
distance 0.187
#12 · Solapurcell 4960008386
distance 0.188
#13 · Solapurcell 4960005826
distance 0.19
#14 · Ahmednagarcell 4660011033
distance 0.193 · cross-district
#15 · Solapurcell 4960005277
distance 0.195
#16 · Solapurcell 4960007418
distance 0.195
#17 · Sataracell 4940006919
distance 0.196 · cross-district
#18 · Sataracell 4940007403
distance 0.197 · 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":4960005272}}}'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.