Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890000158
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
44
morphology-v2 feature dimensions
Closest twin distance
0.065
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890000357
distance 0.065
#2 · Parbhanicell 4890000197
distance 0.108
#3 · Parbhanicell 4890000719
distance 0.113
#4 · Parbhanicell 4890000278
distance 0.119
#5 · Parbhanicell 4890000275
distance 0.123
#6 · Parbhanicell 4890000277
distance 0.123
#7 · Parbhanicell 4890000425
distance 0.123
#8 · Nandedcell 4850001681
distance 0.124 · cross-district
#9 · Parbhanicell 4890000508
distance 0.126
#10 · Nandedcell 4850001606
distance 0.127 · cross-district
#11 · Parbhanicell 4890000121
distance 0.128
#12 · Laturcell 4810005962
distance 0.133 · cross-district
#13 · Parbhanicell 4890001200
distance 0.135
#14 · Parbhanicell 4890000503
distance 0.135
#15 · Nandedcell 4850001533
distance 0.136 · cross-district
#16 · Parbhanicell 4890000389
distance 0.136
#17 · Parbhanicell 4890000319
distance 0.136
#18 · Laturcell 4810005440
distance 0.137 · 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":4890000158}}}'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.