Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850006937
The MH-36 locality cells most similar to this Nanded 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
0.186
lower = more alike (weighted)
The twins, closest first
#1 · Yavatmalcell 5000001260
distance 0.186 · cross-district
#2 · Yavatmalcell 5000002027
distance 0.202 · cross-district
#3 · Nandedcell 4850006870
distance 0.21
#4 · Nandedcell 4850008281
distance 0.224
#5 · Yavatmalcell 5000002026
distance 0.229 · cross-district
#6 · Nandedcell 4850008874
distance 0.24
#7 · Nandedcell 4850007339
distance 0.248
#8 · Nandedcell 4850005358
distance 0.248
#9 · Yavatmalcell 5000000214
distance 0.248 · cross-district
#10 · Nandedcell 4850008651
distance 0.261
#11 · Yavatmalcell 5000002402
distance 0.27 · cross-district
#12 · Nandedcell 4850008388
distance 0.27
#13 · Nandedcell 4850002585
distance 0.272
#14 · Nandedcell 4850007973
distance 0.272
#15 · Nandedcell 4850006400
distance 0.277
#16 · Nandedcell 4850008706
distance 0.277
#17 · Nandedcell 4850008800
distance 0.278
#18 · Washimcell 4990001565
distance 0.28 · 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":485,"cluster_id":4850006937}}}'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.