Bhārata Strata · Maharashtra · Buldhana · morphological twins
Places like cell 4720002129
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.123
lower = more alike (weighted)
The twins, closest first
#1 · Buldhanacell 4720002734
distance 0.123
#2 · Buldhanacell 4720000439
distance 0.152
#3 · Buldhanacell 4720001570
distance 0.164
#4 · Buldhanacell 4720001687
distance 0.165
#5 · Buldhanacell 4720000753
distance 0.169
#6 · Jalnacell 4790003914
distance 0.169 · cross-district
#7 · Jalnacell 4790004285
distance 0.171 · cross-district
#8 · Buldhanacell 4720002900
distance 0.171
#9 · Buldhanacell 4720001839
distance 0.173
#10 · Jalnacell 4790003985
distance 0.174 · cross-district
#11 · Buldhanacell 4720000742
distance 0.174
#12 · Buldhanacell 4720000094
distance 0.176
#13 · Beedcell 4700007892
distance 0.179 · cross-district
#14 · Buldhanacell 4720002822
distance 0.183
#15 · Jalnacell 4790004292
distance 0.186 · cross-district
#16 · Buldhanacell 4720001885
distance 0.187
#17 · Buldhanacell 4720002339
distance 0.189
#18 · Buldhanacell 4720001459
distance 0.191
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":4720002129}}}'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.