Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890000753
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 2 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.127
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890000759
distance 0.127
#2 · Parbhanicell 4890000529
distance 0.137
#3 · Parbhanicell 4890000581
distance 0.147
#4 · Parbhanicell 4890000702
distance 0.152
#5 · Parbhanicell 4890000351
distance 0.155
#6 · Parbhanicell 4890001373
distance 0.159
#7 · Parbhanicell 4890000509
distance 0.159
#8 · Parbhanicell 4890000382
distance 0.179
#9 · Parbhanicell 4890000475
distance 0.181
#10 · Parbhanicell 4890000146
distance 0.182
#11 · Parbhanicell 4890000510
distance 0.183
#12 · Laturcell 4810006005
distance 0.183 · cross-district
#13 · Laturcell 4810005847
distance 0.184 · cross-district
#14 · Parbhanicell 4890000132
distance 0.187
#15 · Parbhanicell 4890000465
distance 0.19
#16 · Parbhanicell 4890000767
distance 0.191
#17 · Laturcell 4810005698
distance 0.194 · cross-district
#18 · Laturcell 4810005848
distance 0.196 · 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":4890000753}}}'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.