Bhārata Strata · Maharashtra · Palghar · morphological twins
Places like cell 6650002494
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
44
morphology-v2 feature dimensions
Closest twin distance
0.177
lower = more alike (weighted)
The twins, closest first
#1 · Palgharcell 6650003988
distance 0.177
#2 · Palgharcell 6650002573
distance 0.192
#3 · Palgharcell 6650002501
distance 0.194
#4 · Nashikcell 4870004325
distance 0.202 · cross-district
#5 · Nashikcell 4870003888
distance 0.217 · cross-district
#6 · Nashikcell 4870008574
distance 0.224 · cross-district
#7 · Palgharcell 6650003989
distance 0.23
#8 · Palgharcell 6650002499
distance 0.23
#9 · Palgharcell 6650004281
distance 0.243
#10 · Palgharcell 6650002045
distance 0.245
#11 · Nashikcell 4870010479
distance 0.245 · cross-district
#12 · Nashikcell 4870008859
distance 0.245 · cross-district
#13 · Palgharcell 6650004322
distance 0.25
#14 · Palgharcell 6650004365
distance 0.251
#15 · Palgharcell 6650002338
distance 0.253
#16 · Palgharcell 6650004323
distance 0.255
#17 · Palgharcell 6650002498
distance 0.256
#18 · Nashikcell 4870008717
distance 0.259 · 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":6650002494}}}'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.