Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970002410
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
44
morphology-v2 feature dimensions
Closest twin distance
0.242
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970002189
distance 0.242
#2 · Thanecell 4970002338
distance 0.253
#3 · Ahmednagarcell 4660010475
distance 0.256 · cross-district
#4 · Thanecell 4970002264
distance 0.265
#5 · Thanecell 4970002963
distance 0.265
#6 · Thanecell 4970002681
distance 0.269
#7 · Thanecell 4970002028
distance 0.317
#8 · Ahmednagarcell 4660012092
distance 0.34 · cross-district
#9 · Thanecell 4970002912
distance 0.341
#10 · Thanecell 4970002859
distance 0.348
#11 · Ratnagiricell 4920006245
distance 0.348 · cross-district
#12 · Ahmednagarcell 4660012406
distance 0.363 · cross-district
#13 · Ahmednagarcell 4660010976
distance 0.369 · cross-district
#14 · Thanecell 4970002190
distance 0.37
#15 · Thanecell 4970003013
distance 0.375
#16 · Ahmednagarcell 4660012252
distance 0.386 · cross-district
#17 · Thanecell 4970002741
distance 0.389
#18 · Thanecell 4970003060
distance 0.393
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":4970002410}}}'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.