Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850004655
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.3
lower = more alike (weighted)
The twins, closest first
#1 · Parbhanicell 4890001467
distance 0.3 · cross-district
#2 · Nandedcell 4850004661
distance 0.302
#3 · Nandedcell 4850005001
distance 0.308
#4 · Nandedcell 4850004385
distance 0.335
#5 · Nandedcell 4850004660
distance 0.341
#6 · Nandedcell 4850004542
distance 0.369
#7 · Nandedcell 4850004609
distance 0.373
#8 · Nandedcell 4850004677
distance 0.376
#9 · Nandedcell 4850004662
distance 0.378
#10 · Parbhanicell 4890001458
distance 0.379 · cross-district
#11 · Laturcell 4810004918
distance 0.392 · cross-district
#12 · Nandedcell 4850004140
distance 0.402
#13 · Nandedcell 4850004589
distance 0.403
#14 · Nandedcell 4850002765
distance 0.406
#15 · Laturcell 4810003601
distance 0.407 · cross-district
#16 · Sataracell 4940003165
distance 0.411 · cross-district
#17 · Beedcell 4700001579
distance 0.414 · cross-district
#18 · Laturcell 4810003354
distance 0.414 · 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":4850004655}}}'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.