Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890004891
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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.105
lower = more alike (weighted)
The twins, closest first
#1 · Jalnacell 4790001813
distance 0.105 · cross-district
#2 · Parbhanicell 4890004378
distance 0.106
#3 · Parbhanicell 4890005023
distance 0.107
#4 · Parbhanicell 4890003803
distance 0.111
#5 · Parbhanicell 4890005104
distance 0.118
#6 · Parbhanicell 4890003741
distance 0.121
#7 · Parbhanicell 4890004840
distance 0.124
#8 · Parbhanicell 4890003871
distance 0.129
#9 · Parbhanicell 4890005458
distance 0.13
#10 · Beedcell 4700006437
distance 0.13 · cross-district
#11 · Parbhanicell 4890003877
distance 0.13
#12 · Parbhanicell 4890005145
distance 0.131
#13 · Parbhanicell 4890003941
distance 0.132
#14 · Parbhanicell 4890004119
distance 0.133
#15 · Akolacell 4670000212
distance 0.135 · cross-district
#16 · Beedcell 4700006703
distance 0.135 · cross-district
#17 · Parbhanicell 4890005065
distance 0.135
#18 · Akolacell 4670000932
distance 0.135 · 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":4890004891}}}'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.