Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001473
The MH-36 locality cells most similar to this Parbhani 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
0.158
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890002462
distance 0.158
#2 · Parbhanicell 4890002137
distance 0.178
#3 · Parbhanicell 4890002707
distance 0.193
#4 · Parbhanicell 4890001799
distance 0.205
#5 · Parbhanicell 4890002626
distance 0.211
#6 · Parbhanicell 4890001402
distance 0.217
#7 · Parbhanicell 4890002216
distance 0.217
#8 · Parbhanicell 4890001713
distance 0.218
#9 · Parbhanicell 4890002465
distance 0.222
#10 · Parbhanicell 4890001886
distance 0.232
#11 · Parbhanicell 4890001469
distance 0.235
#12 · Jalgaoncell 4780008906
distance 0.238 · cross-district
#13 · Parbhanicell 4890001888
distance 0.239
#14 · Parbhanicell 4890001472
distance 0.24
#15 · Parbhanicell 4890001884
distance 0.241
#16 · Chhatrapati Sambhajinagarcell 4690001385
distance 0.243 · cross-district
#17 · Parbhanicell 4890001714
distance 0.244
#18 · Washimcell 4990002030
distance 0.246 · 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":489,"cluster_id":4890001473}}}'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.