Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970001124
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 2 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.357
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000395
distance 0.357
#2 · Thanecell 4970001136
distance 0.386
#3 · Thanecell 4970001209
distance 0.43
#4 · Thanecell 4970000455
distance 0.433
#5 · Thanecell 4970001046
distance 0.441
#6 · Thanecell 4970000958
distance 0.443
#7 · Thanecell 4970000281
distance 0.468
#8 · Thanecell 4970001213
distance 0.471
#9 · Thanecell 4970000398
distance 0.473
#10 · Mumbai Suburbancell 4830000223
distance 0.498 · cross-district
#11 · Thanecell 4970000587
distance 0.509
#12 · Mumbai Suburbancell 4830000164
distance 0.531 · cross-district
#13 · Mumbai Suburbancell 4830000190
distance 0.546 · cross-district
#14 · Thanecell 4970001470
distance 0.553
#15 · Mumbai Suburbancell 4830000166
distance 0.565 · cross-district
#16 · Thanecell 4970000341
distance 0.573
#17 · Thanecell 4970000454
distance 0.6
#18 · Mumbai Suburbancell 4830000168
distance 0.615 · 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":4970001124}}}'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.