Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890003284
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
45
morphology-v2 feature dimensions
Closest twin distance
0.124
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890003283
distance 0.124
#2 · Beedcell 4700007281
distance 0.127 · cross-district
#3 · Parbhanicell 4890003124
distance 0.136
#4 · Beedcell 4700007464
distance 0.142 · cross-district
#5 · Parbhanicell 4890003359
distance 0.143
#6 · Parbhanicell 4890001725
distance 0.146
#7 · Beedcell 4700007837
distance 0.147 · cross-district
#8 · Parbhanicell 4890003040
distance 0.15
#9 · Parbhanicell 4890001853
distance 0.15
#10 · Parbhanicell 4890001920
distance 0.156
#11 · Parbhanicell 4890001667
distance 0.157
#12 · Parbhanicell 4890002837
distance 0.157
#13 · Parbhanicell 4890002077
distance 0.158
#14 · Parbhanicell 4890001835
distance 0.159
#15 · Parbhanicell 4890002315
distance 0.161
#16 · Parbhanicell 4890002709
distance 0.162
#17 · Jalnacell 4790001881
distance 0.162 · cross-district
#18 · Beedcell 4700008461
distance 0.162 · 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":4890003284}}}'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.