Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700005421
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
0.153
lower = more alike (weighted)
The twins, closest first
#1 · Dharashivcell 4880002665
distance 0.153 · cross-district
#2 · Buldhanacell 4720005224
distance 0.164 · cross-district
#3 · Beedcell 4700006814
distance 0.165
#4 · Beedcell 4700003763
distance 0.165
#5 · Beedcell 4700006012
distance 0.175
#6 · Beedcell 4700006275
distance 0.177
#7 · Beedcell 4700001484
distance 0.179
#8 · Solapurcell 4960010396
distance 0.179 · cross-district
#9 · Beedcell 4700005998
distance 0.179
#10 · Beedcell 4700001946
distance 0.179
#11 · Beedcell 4700005859
distance 0.182
#12 · Beedcell 4700004130
distance 0.183
#13 · Beedcell 4700007041
distance 0.184
#14 · Dharashivcell 4880005848
distance 0.185 · cross-district
#15 · Dharashivcell 4880005304
distance 0.186 · cross-district
#16 · Beedcell 4700004315
distance 0.188
#17 · Solapurcell 4960009454
distance 0.189 · cross-district
#18 · Amravaticell 4680001211
distance 0.19 · 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":4700005421}}}'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.