Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001026
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
0.083
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890000849
distance 0.083
#2 · Parbhanicell 4890001155
distance 0.083
#3 · Parbhanicell 4890000797
distance 0.097
#4 · Parbhanicell 4890001346
distance 0.115
#5 · Parbhanicell 4890000796
distance 0.118
#6 · Beedcell 4700006329
distance 0.119 · cross-district
#7 · Beedcell 4700005767
distance 0.122 · cross-district
#8 · Parbhanicell 4890000901
distance 0.124
#9 · Parbhanicell 4890001157
distance 0.126
#10 · Beedcell 4700005904
distance 0.129 · cross-district
#11 · Parbhanicell 4890001213
distance 0.13
#12 · Parbhanicell 4890001209
distance 0.133
#13 · Solapurcell 4960002065
distance 0.133 · cross-district
#14 · Parbhanicell 4890000470
distance 0.133
#15 · Beedcell 4700006432
distance 0.133 · cross-district
#16 · Parbhanicell 4890000848
distance 0.134
#17 · Parbhanicell 4890003551
distance 0.134
#18 · Parbhanicell 4890001412
distance 0.134
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":4890001026}}}'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.