Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890003921
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.05
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890003922
distance 0.05
#2 · Jalnacell 4790000983
distance 0.061 · cross-district
#3 · Parbhanicell 4890003791
distance 0.078
#4 · Parbhanicell 4890003920
distance 0.079
#5 · Parbhanicell 4890004045
distance 0.083
#6 · Jalnacell 4790001050
distance 0.089 · cross-district
#7 · Parbhanicell 4890003730
distance 0.09
#8 · Jalnacell 4790000361
distance 0.094 · cross-district
#9 · Parbhanicell 4890003918
distance 0.096
#10 · Parbhanicell 4890003611
distance 0.096
#11 · Parbhanicell 4890003671
distance 0.097
#12 · Jalnacell 4790000496
distance 0.097 · cross-district
#13 · Parbhanicell 4890004162
distance 0.098
#14 · Parbhanicell 4890003793
distance 0.098
#15 · Parbhanicell 4890003729
distance 0.099
#16 · Parbhanicell 4890003792
distance 0.101
#17 · Parbhanicell 4890004046
distance 0.102
#18 · Jalnacell 4790001395
distance 0.104 · 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":4890003921}}}'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.