Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890004747
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
45
morphology-v2 feature dimensions
Closest twin distance
0.097
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890004880
distance 0.097
#2 · Parbhanicell 4890004697
distance 0.11
#3 · Parbhanicell 4890004233
distance 0.111
#4 · Parbhanicell 4890004182
distance 0.116
#5 · Jalnacell 4790003505
distance 0.116 · cross-district
#6 · Parbhanicell 4890004387
distance 0.119
#7 · Jalnacell 4790004015
distance 0.121 · cross-district
#8 · Parbhanicell 4890004316
distance 0.121
#9 · Parbhanicell 4890004230
distance 0.122
#10 · Jalnacell 4790003675
distance 0.122 · cross-district
#11 · Parbhanicell 4890004328
distance 0.122
#12 · Parbhanicell 4890004368
distance 0.125
#13 · Parbhanicell 4890004338
distance 0.126
#14 · Parbhanicell 4890003813
distance 0.128
#15 · Parbhanicell 4890004849
distance 0.129
#16 · Parbhanicell 4890004745
distance 0.13
#17 · Jalnacell 4790002729
distance 0.131 · cross-district
#18 · Parbhanicell 4890004367
distance 0.131
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":4890004747}}}'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.