Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650002057
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 2 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.147
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650002202
distance 0.147
#2 · Palgharcell 6650001886
distance 0.171
#3 · Palgharcell 6650002819
distance 0.181
#4 · Palgharcell 6650002746
distance 0.184
#5 · Nashikcell 4870000616
distance 0.186 · cross-district
#6 · Palgharcell 6650001722
distance 0.201
#7 · Nashikcell 4870000363
distance 0.201 · cross-district
#8 · Nashikcell 4870000693
distance 0.202 · cross-district
#9 · Nashikcell 4870000617
distance 0.207 · cross-district
#10 · Palgharcell 6650001574
distance 0.209
#11 · Palgharcell 6650002413
distance 0.209
#12 · Nashikcell 4870000483
distance 0.21 · cross-district
#13 · Palgharcell 6650002592
distance 0.212
#14 · Palgharcell 6650001816
distance 0.215
#15 · Palgharcell 6650002508
distance 0.217
#16 · Nashikcell 4870000545
distance 0.218 · cross-district
#17 · Palgharcell 6650002436
distance 0.22
#18 · Palgharcell 6650002493
distance 0.222
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":6650002057}}}'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.