Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000426
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
0.383
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000481
distance 0.383
#2 · Thanecell 4970001142
distance 0.395
#3 · Thanecell 4970001086
distance 0.395
#4 · Thanecell 4970000429
distance 0.395
#5 · Thanecell 4970001720
distance 0.425
#6 · Thanecell 4970001231
distance 0.437
#7 · Punecell 4900006436
distance 0.445 · cross-district
#8 · Thanecell 4970001346
distance 0.449
#9 · Punecell 4900004756
distance 0.458 · cross-district
#10 · Punecell 4900005819
distance 0.459 · cross-district
#11 · Thanecell 4970001363
distance 0.461
#12 · Punecell 4900004757
distance 0.464 · cross-district
#13 · Punecell 4900007649
distance 0.466 · cross-district
#14 · Thanecell 4970001073
distance 0.47
#15 · Punecell 4900006068
distance 0.475 · cross-district
#16 · Thanecell 4970000428
distance 0.476
#17 · Punecell 4900010567
distance 0.484 · cross-district
#18 · Punecell 4900008440
distance 0.488 · 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":4970000426}}}'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.