Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890003601
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 4 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 4890001774
distance 0.097
#2 · Parbhanicell 4890002028
distance 0.106
#3 · Parbhanicell 4890002443
distance 0.116
#4 · Parbhanicell 4890002601
distance 0.125
#5 · Parbhanicell 4890003871
distance 0.127
#6 · Parbhanicell 4890001949
distance 0.136
#7 · Parbhanicell 4890001858
distance 0.141
#8 · Parbhanicell 4890001951
distance 0.142
#9 · Parbhanicell 4890003993
distance 0.142
#10 · Parbhanicell 4890003534
distance 0.146
#11 · Parbhanicell 4890002440
distance 0.148
#12 · Parbhanicell 4890001580
distance 0.149
#13 · Parbhanicell 4890002953
distance 0.151
#14 · Parbhanicell 4890002692
distance 0.152
#15 · Buldhanacell 4720004443
distance 0.153 · cross-district
#16 · Akolacell 4670001101
distance 0.153 · cross-district
#17 · Buldhanacell 4720004594
distance 0.154 · cross-district
#18 · Amravaticell 4680001376
distance 0.157 · 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":4890003601}}}'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.