Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005795
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 3 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.066
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700005934
distance 0.066
#2 · Beedcell 4700006353
distance 0.153
#3 · Beedcell 4700006625
distance 0.154
#4 · Beedcell 4700004893
distance 0.17
#5 · Ahmednagarcell 4660004888
distance 0.176 · cross-district
#6 · Beedcell 4700006352
distance 0.179
#7 · Beedcell 4700006066
distance 0.185
#8 · Beedcell 4700005798
distance 0.188
#9 · Beedcell 4700006487
distance 0.192
#10 · Ahmednagarcell 4660004211
distance 0.192 · cross-district
#11 · Chhatrapati Sambhajinagarcell 4690001996
distance 0.194 · cross-district
#12 · Beedcell 4700004894
distance 0.195
#13 · Beedcell 4700006081
distance 0.2
#14 · Beedcell 4700005364
distance 0.204
#15 · Ahmednagarcell 4660004369
distance 0.204 · cross-district
#16 · Ahmednagarcell 4660004453
distance 0.204 · cross-district
#17 · Beedcell 4700005791
distance 0.205
#18 · Ahmednagarcell 4660004975
distance 0.209 · 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":470,"cluster_id":4700005795}}}'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.