Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850005926
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
0.173
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850006006
distance 0.173
#2 · Nandedcell 4850006256
distance 0.255
#3 · Laturcell 4810005015
distance 0.264 · cross-district
#4 · Nandedcell 4850004598
distance 0.268
#5 · Hingolicell 4770000007
distance 0.273 · cross-district
#6 · Hingolicell 4770000008
distance 0.276 · cross-district
#7 · Nandedcell 4850004819
distance 0.279
#8 · Beedcell 4700005444
distance 0.28 · cross-district
#9 · Nandedcell 4850005679
distance 0.284
#10 · Sanglicell 4930003428
distance 0.287 · cross-district
#11 · Nandedcell 4850005479
distance 0.287
#12 · Nandedcell 4850005329
distance 0.291
#13 · Laturcell 4810000381
distance 0.291 · cross-district
#14 · Laturcell 4810003408
distance 0.293 · cross-district
#15 · Nandedcell 4850005769
distance 0.294
#16 · Nandedcell 4850006007
distance 0.296
#17 · Nandedcell 4850008626
distance 0.298
#18 · Nandedcell 4850005617
distance 0.299
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":4850005926}}}'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.