Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700001040
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 5 distinct districts
Index confidence
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.124
lower = more alike (weighted)
The twins, closest first
#1 · Beedcell 4700000670
distance 0.124
#2 · Laturcell 4810002775
distance 0.155 · cross-district
#3 · Beedcell 4700001603
distance 0.16
#4 · Beedcell 4700001036
distance 0.163
#5 · Beedcell 4700001729
distance 0.175
#6 · Laturcell 4810000422
distance 0.178 · cross-district
#7 · Beedcell 4700001595
distance 0.179
#8 · Beedcell 4700001039
distance 0.18
#9 · Sanglicell 4930003623
distance 0.183 · cross-district
#10 · Dharashivcell 4880005768
distance 0.183 · cross-district
#11 · Beedcell 4700004783
distance 0.185
#12 · Laturcell 4810003884
distance 0.185 · cross-district
#13 · Sanglicell 4930002407
distance 0.188 · cross-district
#14 · Beedcell 4700000684
distance 0.192
#15 · Laturcell 4810001952
distance 0.192 · cross-district
#16 · Beedcell 4700007347
distance 0.196
#17 · Jalnacell 4790004083
distance 0.197 · cross-district
#18 · Beedcell 4700007907
distance 0.197
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":4700001040}}}'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.