Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890005110
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
0.088
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890005383
distance 0.088
#2 · Parbhanicell 4890005181
distance 0.091
#3 · Jalnacell 4790002148
distance 0.102 · cross-district
#4 · Parbhanicell 4890005213
distance 0.111
#5 · Parbhanicell 4890005179
distance 0.111
#6 · Jalnacell 4790002566
distance 0.118 · cross-district
#7 · Parbhanicell 4890003875
distance 0.121
#8 · Parbhanicell 4890005303
distance 0.122
#9 · Jalnacell 4790003320
distance 0.124 · cross-district
#10 · Parbhanicell 4890004787
distance 0.126
#11 · Parbhanicell 4890005185
distance 0.126
#12 · Parbhanicell 4890005065
distance 0.131
#13 · Parbhanicell 4890004742
distance 0.138
#14 · Parbhanicell 4890004333
distance 0.138
#15 · Akolacell 4670000611
distance 0.141 · cross-district
#16 · Parbhanicell 4890003906
distance 0.142
#17 · Buldhanacell 4720006838
distance 0.144 · cross-district
#18 · Parbhanicell 4890004613
distance 0.144
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":4890005110}}}'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.