Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890003213
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
0.033
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890003483
distance 0.033
#2 · Jalnacell 4790000250
distance 0.05 · cross-district
#3 · Parbhanicell 4890003289
distance 0.053
#4 · Jalnacell 4790000173
distance 0.058 · cross-district
#5 · Parbhanicell 4890003122
distance 0.06
#6 · Parbhanicell 4890002961
distance 0.067
#7 · Parbhanicell 4890002795
distance 0.069
#8 · Beedcell 4700008190
distance 0.086 · cross-district
#9 · Parbhanicell 4890002140
distance 0.088
#10 · Parbhanicell 4890003210
distance 0.091
#11 · Parbhanicell 4890001806
distance 0.1
#12 · Parbhanicell 4890001637
distance 0.104
#13 · Beedcell 4700008202
distance 0.105 · cross-district
#14 · Parbhanicell 4890002970
distance 0.108
#15 · Parbhanicell 4890003416
distance 0.109
#16 · Parbhanicell 4890002978
distance 0.111
#17 · Parbhanicell 4890003279
distance 0.112
#18 · Beedcell 4700008191
distance 0.113 · 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":4890003213}}}'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.