Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870000621
The MH-36 locality cells most similar to this Nashik 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 5 distinct districts
Index confidence
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
42
morphology-v2 feature dimensions
Closest twin distance
0.257
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870000867
distance 0.257
#2 · Nashikcell 4870004500
distance 0.27
#3 · Nashikcell 4870000129
distance 0.271
#4 · Nashikcell 4870001516
distance 0.274
#5 · Nashikcell 4870001977
distance 0.28
#6 · Thanecell 4970003502
distance 0.287 · cross-district
#7 · Nashikcell 4870001617
distance 0.294
#8 · Nashikcell 4870000546
distance 0.297
#9 · Palgharcell 6650003271
distance 0.307 · cross-district
#10 · Nashikcell 4870002068
distance 0.31
#11 · Nashikcell 4870000547
distance 0.31
#12 · Raigadcell 4910004553
distance 0.316 · cross-district
#13 · Palgharcell 6650002514
distance 0.325 · cross-district
#14 · Nashikcell 4870000698
distance 0.327
#15 · Nashikcell 4870003471
distance 0.331
#16 · Nashikcell 4870000780
distance 0.337
#17 · Ratnagiricell 4920003567
distance 0.338 · cross-district
#18 · Palgharcell 6650001898
distance 0.339 · 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":487,"cluster_id":4870000621}}}'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.