Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000489
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 6 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.204
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740002532
distance 0.204
#2 · Dhulecell 4740002631
distance 0.207
#3 · Dhulecell 4740001681
distance 0.215
#4 · Dhulecell 4740000506
distance 0.221
#5 · Jalgaoncell 4780003904
distance 0.225 · cross-district
#6 · Dhulecell 4740002611
distance 0.232
#7 · Nashikcell 4870005625
distance 0.235 · cross-district
#8 · Dhulecell 4740001459
distance 0.242
#9 · Dhulecell 4740002429
distance 0.243
#10 · Ahmednagarcell 4660006137
distance 0.245 · cross-district
#11 · Beedcell 4700003041
distance 0.247 · cross-district
#12 · Beedcell 4700002684
distance 0.248 · cross-district
#13 · Beedcell 4700005102
distance 0.248 · cross-district
#14 · Sanglicell 4930003789
distance 0.249 · cross-district
#15 · Dhulecell 4740000146
distance 0.25
#16 · Dhulecell 4740003153
distance 0.25
#17 · Dhulecell 4740000537
distance 0.251
#18 · Dhulecell 4740002633
distance 0.252
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":4740000489}}}'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.