Bhārata Strata · Maharashtra · Parbhani · morphological twins
Places like cell 4890000352
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
0.112
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890000440
distance 0.112
#2 · Parbhanicell 4890001252
distance 0.116
#3 · Parbhanicell 4890001251
distance 0.128
#4 · Parbhanicell 4890001324
distance 0.129
#5 · Parbhanicell 4890001321
distance 0.152
#6 · Parbhanicell 4890000388
distance 0.159
#7 · Parbhanicell 4890000662
distance 0.17
#8 · Laturcell 4810005480
distance 0.17 · cross-district
#9 · Nandedcell 4850004171
distance 0.173 · cross-district
#10 · Laturcell 4810005837
distance 0.174 · cross-district
#11 · Parbhanicell 4890000718
distance 0.174
#12 · Parbhanicell 4890000315
distance 0.175
#13 · Parbhanicell 4890000716
distance 0.175
#14 · Parbhanicell 4890000152
distance 0.176
#15 · Parbhanicell 4890000383
distance 0.177
#16 · Parbhanicell 4890000235
distance 0.177
#17 · Parbhanicell 4890000240
distance 0.179
#18 · Chhatrapati Sambhajinagarcell 4690000539
distance 0.179 · 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":4890000352}}}'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.