Bhārata Strata · Maharashtra · Nashik · morphological twins
Places like cell 4870011501
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 3 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
43
morphology-v2 feature dimensions
Closest twin distance
0.191
lower = more alike (weighted)
The twins, closest first
#1 · Nashikcell 4870011010
distance 0.191
#2 · Nashikcell 4870011500
distance 0.192
#3 · Nashikcell 4870009565
distance 0.198
#4 · Nashikcell 4870010744
distance 0.205
#5 · Palgharcell 6650001835
distance 0.211 · cross-district
#6 · Nashikcell 4870008582
distance 0.212
#7 · Nashikcell 4870010222
distance 0.212
#8 · Palgharcell 6650002303
distance 0.216 · cross-district
#9 · Nashikcell 4870010484
distance 0.217
#10 · Nashikcell 4870009562
distance 0.218
#11 · Nashikcell 4870008573
distance 0.22
#12 · Nashikcell 4870008864
distance 0.221
#13 · Palgharcell 6650002495
distance 0.221 · cross-district
#14 · Nashikcell 4870009964
distance 0.223
#15 · Thanecell 4970002379
distance 0.224 · cross-district
#16 · Nashikcell 4870011620
distance 0.229
#17 · Palgharcell 6650002867
distance 0.23 · cross-district
#18 · Palgharcell 6650001493
distance 0.231 · 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":4870011501}}}'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.