Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890001310
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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.127
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890001529
distance 0.127
#2 · Parbhanicell 4890001450
distance 0.139
#3 · Parbhanicell 4890001616
distance 0.141
#4 · Parbhanicell 4890001618
distance 0.152
#5 · Parbhanicell 4890000311
distance 0.156
#6 · Parbhanicell 4890001375
distance 0.156
#7 · Parbhanicell 4890001448
distance 0.161
#8 · Parbhanicell 4890001533
distance 0.162
#9 · Parbhanicell 4890001588
distance 0.165
#10 · Parbhanicell 4890001532
distance 0.167
#11 · Parbhanicell 4890000485
distance 0.168
#12 · Parbhanicell 4890001452
distance 0.168
#13 · Ahmednagarcell 4660009633
distance 0.169 · cross-district
#14 · Parbhanicell 4890001376
distance 0.17
#15 · Parbhanicell 4890001615
distance 0.171
#16 · Parbhanicell 4890001626
distance 0.171
#17 · Ahmednagarcell 4660009272
distance 0.176 · cross-district
#18 · Chhatrapati Sambhajinagarcell 4690000745
distance 0.176 · 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":4890001310}}}'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.