Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001504
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.115
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890001513
distance 0.115
#2 · Parbhanicell 4890001518
distance 0.125
#3 · Parbhanicell 4890001302
distance 0.127
#4 · Parbhanicell 4890001054
distance 0.135
#5 · Parbhanicell 4890001599
distance 0.135
#6 · Parbhanicell 4890001581
distance 0.137
#7 · Buldhanacell 4720002222
distance 0.139 · cross-district
#8 · Parbhanicell 4890000944
distance 0.142
#9 · Parbhanicell 4890001588
distance 0.144
#10 · Parbhanicell 4890001448
distance 0.147
#11 · Parbhanicell 4890001444
distance 0.151
#12 · Parbhanicell 4890000417
distance 0.152
#13 · Buldhanacell 4720002911
distance 0.153 · cross-district
#14 · Parbhanicell 4890001502
distance 0.154
#15 · Parbhanicell 4890001053
distance 0.156
#16 · Parbhanicell 4890000650
distance 0.156
#17 · Buldhanacell 4720002094
distance 0.156 · cross-district
#18 · Washimcell 4990001831
distance 0.16 · 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":4890001504}}}'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.