Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850004740
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.229
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850002057
distance 0.229
#2 · Laturcell 4810003073
distance 0.269 · cross-district
#3 · Nandedcell 4850005259
distance 0.278
#4 · Dharashivcell 4880005272
distance 0.29 · cross-district
#5 · Nandedcell 4850005681
distance 0.304
#6 · Nandedcell 4850005602
distance 0.307
#7 · Nandedcell 4850005533
distance 0.308
#8 · Nandedcell 4850004924
distance 0.311
#9 · Nandedcell 4850005467
distance 0.312
#10 · Jalnacell 4790002713
distance 0.312 · cross-district
#11 · Nandedcell 4850004522
distance 0.313
#12 · Nandedcell 4850004798
distance 0.313
#13 · Nandedcell 4850005396
distance 0.313
#14 · Nandedcell 4850004741
distance 0.318
#15 · Nandedcell 4850004398
distance 0.321
#16 · Washimcell 4990002293
distance 0.321 · cross-district
#17 · Parbhanicell 4890000147
distance 0.322 · cross-district
#18 · Laturcell 4810005449
distance 0.324 · 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":4850004740}}}'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.