Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740001263
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
0.201
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000155
distance 0.201
#2 · Dhulecell 4740001571
distance 0.204
#3 · Dhulecell 4740000384
distance 0.212
#4 · Dhulecell 4740001366
distance 0.228
#5 · Dhulecell 4740003167
distance 0.243
#6 · Dhulecell 4740000521
distance 0.245
#7 · Nashikcell 4870012744
distance 0.251 · cross-district
#8 · Dharashivcell 4880004336
distance 0.251 · cross-district
#9 · Nashikcell 4870003426
distance 0.253 · cross-district
#10 · Dhulecell 4740001470
distance 0.253
#11 · Nashikcell 4870008247
distance 0.254 · cross-district
#12 · Dhulecell 4740000186
distance 0.256
#13 · Dhulecell 4740001477
distance 0.256
#14 · Beedcell 4700005807
distance 0.257 · cross-district
#15 · Beedcell 4700005947
distance 0.257 · cross-district
#16 · Nashikcell 4870012129
distance 0.258 · cross-district
#17 · Dhulecell 4740002074
distance 0.26
#18 · Dhulecell 4740001474
distance 0.261
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":4740001263}}}'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.