Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700007980
The MH-36 locality cells most similar to this Beed 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
43
morphology-v2 feature dimensions
Closest twin distance
0.129
lower = more alike (weighted)
The twins, closest first
#1 · Jalnacell 4790003390
distance 0.129 · cross-district
#2 · Beedcell 4700007992
distance 0.158
#3 · Beedcell 4700007337
distance 0.161
#4 · Parbhanicell 4890000393
distance 0.165 · cross-district
#5 · Laturcell 4810001643
distance 0.17 · cross-district
#6 · Beedcell 4700007814
distance 0.171
#7 · Beedcell 4700008170
distance 0.176
#8 · Beedcell 4700007520
distance 0.176
#9 · Parbhanicell 4890002406
distance 0.177 · cross-district
#10 · Laturcell 4810001410
distance 0.18 · cross-district
#11 · Beedcell 4700006842
distance 0.181
#12 · Beedcell 4700000765
distance 0.182
#13 · Beedcell 4700007714
distance 0.183
#14 · Beedcell 4700008083
distance 0.184
#15 · Jalnacell 4790001120
distance 0.186 · cross-district
#16 · Laturcell 4810001564
distance 0.187 · cross-district
#17 · Laturcell 4810001988
distance 0.187 · cross-district
#18 · Beedcell 4700008531
distance 0.187
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":470,"cluster_id":4700007980}}}'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.