Bhārata Strata · Maharashtra · Jalgaon · morphological twins
Places like cell 4780001607
The MH-36 locality cells most similar to this Jalgaon 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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.052
lower = more alike (weighted)
The twins, closest first
#1 · Jalgaoncell 4780001608
distance 0.052
#2 · Jalgaoncell 4780001506
distance 0.076
#3 · Jalgaoncell 4780002233
distance 0.099
#4 · Jalgaoncell 4780001511
distance 0.106
#5 · Jalgaoncell 4780002135
distance 0.107
#6 · Jalgaoncell 4780001151
distance 0.115
#7 · Jalgaoncell 4780000836
distance 0.118
#8 · Jalgaoncell 4780001413
distance 0.12
#9 · Jalgaoncell 4780001712
distance 0.121
#10 · Nandedcell 4850008971
distance 0.128 · cross-district
#11 · Jalgaoncell 4780001498
distance 0.128
#12 · Chhatrapati Sambhajinagarcell 4690008750
distance 0.13 · cross-district
#13 · Jalgaoncell 4780001383
distance 0.13
#14 · Jalgaoncell 4780001499
distance 0.131
#15 · Jalgaoncell 4780001211
distance 0.132
#16 · Jalgaoncell 4780001501
distance 0.134
#17 · Chhatrapati Sambhajinagarcell 4690007534
distance 0.134 · cross-district
#18 · Jalgaoncell 4780001835
distance 0.134
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":478,"cluster_id":4780001607}}}'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.