Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001821
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
0.102
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890002163
distance 0.102
#2 · Parbhanicell 4890002256
distance 0.122
#3 · Parbhanicell 4890002903
distance 0.144
#4 · Parbhanicell 4890002335
distance 0.158
#5 · Parbhanicell 4890002499
distance 0.161
#6 · Parbhanicell 4890002406
distance 0.165
#7 · Parbhanicell 4890003467
distance 0.168
#8 · Parbhanicell 4890002338
distance 0.168
#9 · Parbhanicell 4890002339
distance 0.171
#10 · Parbhanicell 4890002254
distance 0.173
#11 · Parbhanicell 4890003594
distance 0.173
#12 · Parbhanicell 4890001643
distance 0.173
#13 · Beedcell 4700006286
distance 0.186 · cross-district
#14 · Beedcell 4700007520
distance 0.186 · cross-district
#15 · Buldhanacell 4720006431
distance 0.19 · cross-district
#16 · Parbhanicell 4890004623
distance 0.192
#17 · Beedcell 4700006947
distance 0.192 · cross-district
#18 · Beedcell 4700004485
distance 0.193 · 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":4890001821}}}'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.