Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890004082
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.071
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890004687
distance 0.071
#2 · Parbhanicell 4890004503
distance 0.074
#3 · Parbhanicell 4890004459
distance 0.11
#4 · Parbhanicell 4890003958
distance 0.129
#5 · Parbhanicell 4890004455
distance 0.135
#6 · Parbhanicell 4890004408
distance 0.137
#7 · Jalnacell 4790003151
distance 0.137 · cross-district
#8 · Parbhanicell 4890004357
distance 0.137
#9 · Parbhanicell 4890004124
distance 0.144
#10 · Parbhanicell 4890004196
distance 0.144
#11 · Parbhanicell 4890004437
distance 0.148
#12 · Parbhanicell 4890004557
distance 0.149
#13 · Parbhanicell 4890004556
distance 0.156
#14 · Parbhanicell 4890004066
distance 0.161
#15 · Parbhanicell 4890004465
distance 0.163
#16 · Chhatrapati Sambhajinagarcell 4690006151
distance 0.165 · cross-district
#17 · Jalnacell 4790002505
distance 0.167 · cross-district
#18 · Jalnacell 4790003235
distance 0.17 · 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":4890004082}}}'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.