Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000804
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
0.504
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000805
distance 0.504
#2 · Thanecell 4970000883
distance 0.628
#3 · Thanecell 4970000803
distance 0.633
#4 · Punecell 4900007203
distance 0.68 · cross-district
#5 · Thanecell 4970000409
distance 0.686
#6 · Thanecell 4970001324
distance 0.689
#7 · Raigadcell 4910005426
distance 0.713 · cross-district
#8 · Punecell 4900005849
distance 0.725 · cross-district
#9 · Punecell 4900006582
distance 0.757 · cross-district
#10 · Punecell 4900006104
distance 0.771 · cross-district
#11 · Thanecell 4970000508
distance 0.772
#12 · Thanecell 4970000595
distance 0.778
#13 · Thanecell 4970000961
distance 0.785
#14 · Thanecell 4970000337
distance 0.798
#15 · Thanecell 4970000789
distance 0.8
#16 · Punecell 4900007084
distance 0.803 · cross-district
#17 · Punecell 4900007442
distance 0.817 · cross-district
#18 · Kolhapurcell 4800004419
distance 0.824 · 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":4970000804}}}'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.