Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890002903
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.099
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890002335
distance 0.099
#2 · Parbhanicell 4890001643
distance 0.108
#3 · Parbhanicell 4890001728
distance 0.13
#4 · Parbhanicell 4890002391
distance 0.133
#5 · Parbhanicell 4890003563
distance 0.137
#6 · Parbhanicell 4890003594
distance 0.142
#7 · Parbhanicell 4890001821
distance 0.144
#8 · Parbhanicell 4890003466
distance 0.158
#9 · Dharashivcell 4880006430
distance 0.16 · cross-district
#10 · Beedcell 4700009039
distance 0.16 · cross-district
#11 · Parbhanicell 4890002344
distance 0.163
#12 · Parbhanicell 4890002498
distance 0.163
#13 · Beedcell 4700008515
distance 0.163 · cross-district
#14 · Washimcell 4990000447
distance 0.166 · cross-district
#15 · Parbhanicell 4890002829
distance 0.167
#16 · Parbhanicell 4890003302
distance 0.167
#17 · Parbhanicell 4890002499
distance 0.169
#18 · Jalnacell 4790001047
distance 0.17 · 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":4890002903}}}'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.