Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650003298
The MH-36 locality cells most similar to this Palghar 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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.248
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650004375
distance 0.248
#2 · Palgharcell 6650003138
distance 0.292
#3 · Palgharcell 6650003959
distance 0.293
#4 · Palgharcell 6650004377
distance 0.301
#5 · Palgharcell 6650003145
distance 0.339
#6 · Palgharcell 6650003972
distance 0.362
#7 · Palgharcell 6650004296
distance 0.408
#8 · Palgharcell 6650003070
distance 0.425
#9 · Palgharcell 6650002374
distance 0.428
#10 · Ratnagiricell 4920000646
distance 0.432 · cross-district
#11 · Palgharcell 6650004160
distance 0.442
#12 · Nashikcell 4870011370
distance 0.444 · cross-district
#13 · Palgharcell 6650004443
distance 0.444
#14 · Palgharcell 6650003364
distance 0.445
#15 · Nashikcell 4870008868
distance 0.449 · cross-district
#16 · Ratnagiricell 4920000956
distance 0.451 · cross-district
#17 · Palgharcell 6650002706
distance 0.46
#18 · Ratnagiricell 4920002974
distance 0.46 · 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":665,"cluster_id":6650003298}}}'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.