Bhārata Strata · Maharashtra · Solapur · morphological twins
Places like cell 4960007488
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
0.93
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.182
lower = more alike (weighted)
The twins, closest first
#1 · Solapurcell 4960006953
distance 0.182
#2 · Solapurcell 4960005742
distance 0.183
#3 · Solapurcell 4960005021
distance 0.188
#4 · Parbhanicell 4890001083
distance 0.192 · cross-district
#5 · Solapurcell 4960005467
distance 0.194
#6 · Solapurcell 4960002059
distance 0.194
#7 · Solapurcell 4960005877
distance 0.199
#8 · Solapurcell 4960003827
distance 0.202
#9 · Solapurcell 4960007468
distance 0.202
#10 · Solapurcell 4960007610
distance 0.204
#11 · Jalnacell 4790006353
distance 0.204 · cross-district
#12 · Solapurcell 4960007737
distance 0.205
#13 · Chhatrapati Sambhajinagarcell 4690000169
distance 0.207 · cross-district
#14 · Parbhanicell 4890004219
distance 0.209 · cross-district
#15 · Solapurcell 4960000460
distance 0.209
#16 · Solapurcell 4960005323
distance 0.21
#17 · Solapurcell 4960006006
distance 0.21
#18 · Solapurcell 4960006826
distance 0.21
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":4960007488}}}'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.