Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970003365
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 5 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.212
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970002468
distance 0.212
#2 · Thanecell 4970002305
distance 0.233
#3 · Thanecell 4970002667
distance 0.234
#4 · Thanecell 4970002543
distance 0.242
#5 · Thanecell 4970002167
distance 0.244
#6 · Palgharcell 6650002724
distance 0.251 · cross-district
#7 · Thanecell 4970002252
distance 0.26
#8 · Thanecell 4970002174
distance 0.261
#9 · Thanecell 4970002090
distance 0.263
#10 · Ratnagiricell 4920003942
distance 0.268 · cross-district
#11 · Ratnagiricell 4920003749
distance 0.269 · cross-district
#12 · Nashikcell 4870011126
distance 0.27 · cross-district
#13 · Raigadcell 4910000848
distance 0.27 · cross-district
#14 · Ratnagiricell 4920003898
distance 0.27 · cross-district
#15 · Thanecell 4970002462
distance 0.271
#16 · Thanecell 4970002397
distance 0.272
#17 · Thanecell 4970002313
distance 0.272
#18 · Nashikcell 4870010873
distance 0.273 · 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":497,"cluster_id":4970003365}}}'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.