Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850002998
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
0.145
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850003084
distance 0.145
#2 · Jalgaoncell 4780009017
distance 0.158 · cross-district
#3 · Nandedcell 4850002814
distance 0.159
#4 · Beedcell 4700001803
distance 0.166 · cross-district
#5 · Nandedcell 4850002051
distance 0.168
#6 · Nandedcell 4850002997
distance 0.168
#7 · Nandedcell 4850001369
distance 0.184
#8 · Nandedcell 4850001511
distance 0.19
#9 · Laturcell 4810006035
distance 0.191 · cross-district
#10 · Yavatmalcell 5000003625
distance 0.195 · cross-district
#11 · Beedcell 4700002239
distance 0.197 · cross-district
#12 · Nandedcell 4850003677
distance 0.198
#13 · Nandedcell 4850004316
distance 0.199
#14 · Nandedcell 4850003360
distance 0.201
#15 · Nandedcell 4850003988
distance 0.202
#16 · Laturcell 4810004906
distance 0.202 · cross-district
#17 · Beedcell 4700002280
distance 0.203 · cross-district
#18 · Nandedcell 4850002574
distance 0.204
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":4850002998}}}'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.