Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850007012
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
0.204
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850007014
distance 0.204
#2 · Nandedcell 4850006630
distance 0.23
#3 · Nandedcell 4850006756
distance 0.255
#4 · Nandedcell 4850005071
distance 0.256
#5 · Yavatmalcell 5000000356
distance 0.258 · cross-district
#6 · Yavatmalcell 5000000357
distance 0.258 · cross-district
#7 · Sataracell 4940001398
distance 0.261 · cross-district
#8 · Nandedcell 4850006776
distance 0.262
#9 · Nandedcell 4850006642
distance 0.273
#10 · Sataracell 4940001856
distance 0.282 · cross-district
#11 · Nandedcell 4850007543
distance 0.284
#12 · Nandedcell 4850006706
distance 0.285
#13 · Nandedcell 4850006950
distance 0.289
#14 · Yavatmalcell 5000001160
distance 0.29 · cross-district
#15 · Nandedcell 4850006598
distance 0.294
#16 · Yavatmalcell 5000000309
distance 0.296 · cross-district
#17 · Nandedcell 4850006361
distance 0.302
#18 · Nandedcell 4850007354
distance 0.303
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":4850007012}}}'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.