Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970003193
The MH-36 locality cells most similar to this Thane 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
0.164
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970003067
distance 0.164
#2 · Palgharcell 6650000664
distance 0.226 · cross-district
#3 · Palgharcell 6650000576
distance 0.241 · cross-district
#4 · Thanecell 4970002932
distance 0.248
#5 · Palgharcell 6650000857
distance 0.25 · cross-district
#6 · Thanecell 4970003105
distance 0.251
#7 · Palgharcell 6650000668
distance 0.251 · cross-district
#8 · Palgharcell 6650000762
distance 0.266 · cross-district
#9 · Thanecell 4970003066
distance 0.271
#10 · Thanecell 4970003106
distance 0.274
#11 · Thanecell 4970003064
distance 0.279
#12 · Thanecell 4970002979
distance 0.291
#13 · Thanecell 4970003154
distance 0.292
#14 · Palgharcell 6650000809
distance 0.294 · cross-district
#15 · Palgharcell 6650001002
distance 0.297 · cross-district
#16 · Thanecell 4970003108
distance 0.298
#17 · Thanecell 4970002579
distance 0.303
#18 · Thanecell 4970002291
distance 0.31
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":497,"cluster_id":4970003193}}}'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.