Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970001363
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
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.273
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000772
distance 0.273
#2 · Thanecell 4970000379
distance 0.311
#3 · Punecell 4900010315
distance 0.415 · cross-district
#4 · Thanecell 4970001098
distance 0.456
#5 · Thanecell 4970001346
distance 0.461
#6 · Thanecell 4970000426
distance 0.461
#7 · Punecell 4900004058
distance 0.462 · cross-district
#8 · Punecell 4900010041
distance 0.466 · cross-district
#9 · Punecell 4900010567
distance 0.483 · cross-district
#10 · Thanecell 4970001009
distance 0.492
#11 · Punecell 4900011508
distance 0.493 · cross-district
#12 · Thanecell 4970001278
distance 0.503
#13 · Thanecell 4970000832
distance 0.506
#14 · Punecell 4900010030
distance 0.515 · cross-district
#15 · Thanecell 4970000429
distance 0.518
#16 · Punecell 4900004059
distance 0.52 · cross-district
#17 · Punecell 4900009842
distance 0.521 · cross-district
#18 · Thanecell 4970001073
distance 0.523
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":4970001363}}}'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.