Bhārata Strata · Maharashtra · Nanded · morphological twins
Places like cell 4850008532
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.043
lower = more alike (weighted)
The twins, closest first
#1 · Nandedcell 4850008531
distance 0.043
#2 · Yavatmalcell 5000001216
distance 0.104 · cross-district
#3 · Nandedcell 4850008326
distance 0.105
#4 · Nandedcell 4850008911
distance 0.107
#5 · Yavatmalcell 5000001164
distance 0.109 · cross-district
#6 · Nandedcell 4850008287
distance 0.11
#7 · Yavatmalcell 5000001215
distance 0.113 · cross-district
#8 · Yavatmalcell 5000001163
distance 0.116 · cross-district
#9 · Nandedcell 4850008778
distance 0.117
#10 · Nandedcell 4850008279
distance 0.117
#11 · Nandedcell 4850008530
distance 0.12
#12 · Nandedcell 4850008740
distance 0.122
#13 · Nandedcell 4850008176
distance 0.123
#14 · Nandedcell 4850008438
distance 0.123
#15 · Nandedcell 4850008436
distance 0.124
#16 · Nandedcell 4850008430
distance 0.126
#17 · Yavatmalcell 5000001046
distance 0.127 · cross-district
#18 · Yavatmalcell 5000001217
distance 0.13 · 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":4850008532}}}'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.