Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700004629
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 7 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.167
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700003782
distance 0.167
#2 · Beedcell 4700004105
distance 0.192
#3 · Beedcell 4700005141
distance 0.194
#4 · Beedcell 4700004632
distance 0.201
#5 · Beedcell 4700003243
distance 0.213
#6 · Nandedcell 4850002021
distance 0.232 · cross-district
#7 · Laturcell 4810001644
distance 0.232 · cross-district
#8 · Beedcell 4700001352
distance 0.239
#9 · Washimcell 4990002485
distance 0.24 · cross-district
#10 · Laturcell 4810004929
distance 0.245 · cross-district
#11 · Buldhanacell 4720002283
distance 0.246 · cross-district
#12 · Beedcell 4700001580
distance 0.248
#13 · Beedcell 4700008443
distance 0.248
#14 · Sanglicell 4930002764
distance 0.249 · cross-district
#15 · Laturcell 4810001890
distance 0.249 · cross-district
#16 · Beedcell 4700005225
distance 0.25
#17 · Beedcell 4700007524
distance 0.251
#18 · Parbhanicell 4890000522
distance 0.251 · 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":4700004629}}}'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.