Bhārata Strata · Maharashtra · Beed · morphological twins
Places like cell 4700007705
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
0.108
lower = more alike (weighted)
The twins, closest first
#1 · Jalnacell 4790003487
distance 0.108 · cross-district
#2 · Beedcell 4700000254
distance 0.124
#3 · Jalnacell 4790001481
distance 0.124 · cross-district
#4 · Beedcell 4700007708
distance 0.137
#5 · Beedcell 4700008668
distance 0.138
#6 · Jalnacell 4790004163
distance 0.138 · cross-district
#7 · Buldhanacell 4720000494
distance 0.149 · cross-district
#8 · Beedcell 4700002401
distance 0.15
#9 · Beedcell 4700008516
distance 0.15
#10 · Beedcell 4700008097
distance 0.151
#11 · Jalnacell 4790000010
distance 0.152 · cross-district
#12 · Beedcell 4700000771
distance 0.153
#13 · Beedcell 4700001177
distance 0.153
#14 · Jalnacell 4790000180
distance 0.154 · cross-district
#15 · Beedcell 4700007900
distance 0.155
#16 · Amravaticell 4680005523
distance 0.157 · cross-district
#17 · Beedcell 4700007798
distance 0.158
#18 · Jalnacell 4790002716
distance 0.158 · 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":4700007705}}}'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.