Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740001394
The MH-36 locality cells most similar to this Dhule 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 4 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.177
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740001386
distance 0.177
#2 · Dhulecell 4740001388
distance 0.216
#3 · Dhulecell 4740002222
distance 0.236
#4 · Nashikcell 4870011705
distance 0.24 · cross-district
#5 · Dhulecell 4740001291
distance 0.259
#6 · Jalgaoncell 4780002420
distance 0.263 · cross-district
#7 · Dhulecell 4740002829
distance 0.273
#8 · Dhulecell 4740002541
distance 0.273
#9 · Nashikcell 4870012055
distance 0.273 · cross-district
#10 · Dhulecell 4740000558
distance 0.28
#11 · Nashikcell 4870011600
distance 0.281 · cross-district
#12 · Jalgaoncell 4780000974
distance 0.286 · cross-district
#13 · Jalgaoncell 4780000972
distance 0.287 · cross-district
#14 · Dhulecell 4740001086
distance 0.291
#15 · Dhulecell 4740000314
distance 0.292
#16 · Ahmednagarcell 4660013854
distance 0.293 · cross-district
#17 · Dhulecell 4740002546
distance 0.293
#18 · Dhulecell 4740002540
distance 0.294
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":474,"cluster_id":4740001394}}}'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.