Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000961
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 4 distinct districts
Index confidence
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.52
lower = more alike (weighted)
The twins, closest first
#1 · Raigadcell 4910004998
distance 0.52 · cross-district
#2 · Raigadcell 4910005546
distance 0.547 · cross-district
#3 · Thanecell 4970001050
distance 0.601
#4 · Raigadcell 4910005231
distance 0.652 · cross-district
#5 · Thanecell 4970000409
distance 0.655
#6 · Thanecell 4970000663
distance 0.678
#7 · Thanecell 4970001051
distance 0.684
#8 · Thanecell 4970000659
distance 0.687
#9 · Thanecell 4970000337
distance 0.698
#10 · Mumbai Suburbancell 4830000164
distance 0.705 · cross-district
#11 · Thanecell 4970000987
distance 0.725
#12 · Punecell 4900005717
distance 0.726 · cross-district
#13 · Thanecell 4970000587
distance 0.729
#14 · Raigadcell 4910000742
distance 0.741 · cross-district
#15 · Thanecell 4970000591
distance 0.742
#16 · Thanecell 4970000282
distance 0.749
#17 · Thanecell 4970001055
distance 0.755
#18 · Punecell 4900007689
distance 0.756 · 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":4970000961}}}'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.