Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970001918
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 3 distinct districts
Index confidence
0.89
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.401
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970001006
distance 0.401
#2 · Punecell 4900009631
distance 0.459 · cross-district
#3 · Thanecell 4970000991
distance 0.471
#4 · Raigadcell 4910001334
distance 0.475 · cross-district
#5 · Thanecell 4970001520
distance 0.482
#6 · Thanecell 4970000207
distance 0.494
#7 · Thanecell 4970001835
distance 0.501
#8 · Punecell 4900012024
distance 0.529 · cross-district
#9 · Punecell 4900007055
distance 0.533 · cross-district
#10 · Thanecell 4970000370
distance 0.54
#11 · Punecell 4900007528
distance 0.541 · cross-district
#12 · Thanecell 4970001185
distance 0.548
#13 · Thanecell 4970001275
distance 0.549
#14 · Punecell 4900012114
distance 0.552 · cross-district
#15 · Thanecell 4970001002
distance 0.558
#16 · Punecell 4900011840
distance 0.56 · cross-district
#17 · Punecell 4900011098
distance 0.562 · cross-district
#18 · Thanecell 4970001832
distance 0.564
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":4970001918}}}'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.