Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720005713
The MH-36 locality cells most similar to this Buldhana 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
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.095
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720006013
distance 0.095
#2 · Jalnacell 4790006639
distance 0.115 · cross-district
#3 · Buldhanacell 4720005639
distance 0.125
#4 · Buldhanacell 4720005283
distance 0.13
#5 · Buldhanacell 4720005268
distance 0.133
#6 · Buldhanacell 4720004817
distance 0.135
#7 · Buldhanacell 4720006728
distance 0.135
#8 · Amravaticell 4680006044
distance 0.136 · cross-district
#9 · Beedcell 4700007157
distance 0.139 · cross-district
#10 · Buldhanacell 4720006724
distance 0.14
#11 · Buldhanacell 4720005935
distance 0.141
#12 · Buldhanacell 4720005716
distance 0.141
#13 · Buldhanacell 4720005794
distance 0.143
#14 · Buldhanacell 4720006384
distance 0.143
#15 · Buldhanacell 4720003975
distance 0.145
#16 · Buldhanacell 4720006795
distance 0.145
#17 · Washimcell 4990000071
distance 0.145 · cross-district
#18 · Jalnacell 4790006605
distance 0.148 · 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":472,"cluster_id":4720005713}}}'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.