Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850005071
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.243
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850004743
distance 0.243
#2 · Nandedcell 4850007354
distance 0.25
#3 · Nandedcell 4850007012
distance 0.256
#4 · Yavatmalcell 5000000357
distance 0.269 · cross-district
#5 · Nandedcell 4850006776
distance 0.27
#6 · Nandedcell 4850004054
distance 0.27
#7 · Nandedcell 4850005203
distance 0.271
#8 · Nandedcell 4850006630
distance 0.275
#9 · Chhatrapati Sambhajinagarcell 4690003563
distance 0.275 · cross-district
#10 · Nandedcell 4850003782
distance 0.28
#11 · Nandedcell 4850003981
distance 0.281
#12 · Chandrapurcell 4730000391
distance 0.284 · cross-district
#13 · Nandedcell 4850003792
distance 0.285
#14 · Jalnacell 4790000168
distance 0.287 · cross-district
#15 · Nandedcell 4850006632
distance 0.287
#16 · Nandedcell 4850005234
distance 0.288
#17 · Nandedcell 4850004959
distance 0.288
#18 · Chandrapurcell 4730003764
distance 0.289 · 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":4850005071}}}'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.