Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970002226
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 3 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.235
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970003025
distance 0.235
#2 · Thanecell 4970002644
distance 0.332
#3 · Thanecell 4970003360
distance 0.344
#4 · Nashikcell 4870006541
distance 0.356 · cross-district
#5 · Thanecell 4970002299
distance 0.378
#6 · Ratnagiricell 4920004787
distance 0.382 · cross-district
#7 · Ratnagiricell 4920005312
distance 0.383 · cross-district
#8 · Thanecell 4970002641
distance 0.405
#9 · Thanecell 4970001783
distance 0.41
#10 · Nashikcell 4870004925
distance 0.411 · cross-district
#11 · Ratnagiricell 4920006548
distance 0.415 · cross-district
#12 · Thanecell 4970002978
distance 0.417
#13 · Thanecell 4970002579
distance 0.417
#14 · Thanecell 4970001119
distance 0.426
#15 · Thanecell 4970002805
distance 0.435
#16 · Nashikcell 4870007283
distance 0.437 · cross-district
#17 · Thanecell 4970002687
distance 0.439
#18 · Thanecell 4970002374
distance 0.441
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":4970002226}}}'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.