Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000352
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
0.685
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900006226
distance 0.685 · cross-district
#2 · Thanecell 4970000593
distance 0.692
#3 · Thanecell 4970000410
distance 0.704
#4 · Thanecell 4970000882
distance 0.736
#5 · Punecell 4900007692
distance 0.739 · cross-district
#6 · Thanecell 4970000963
distance 0.773
#7 · Thanecell 4970000584
distance 0.793
#8 · Punecell 4900005978
distance 0.795 · cross-district
#9 · Thanecell 4970000570
distance 0.826
#10 · Mumbai Suburbancell 4830000248
distance 0.83 · cross-district
#11 · Thanecell 4970000465
distance 0.842
#12 · Punecell 4900005725
distance 0.846 · cross-district
#13 · Punecell 4900006587
distance 0.846 · cross-district
#14 · Thanecell 4970000881
distance 0.862
#15 · Thanecell 4970000664
distance 0.864
#16 · Thanecell 4970000298
distance 0.883
#17 · Nagpurcell 4840003668
distance 0.905 · cross-district
#18 · Thanecell 4970000715
distance 0.912
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":4970000352}}}'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.