Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740005254
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.09
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740005189
distance 0.09
#2 · Dhulecell 4740005250
distance 0.134
#3 · Dhulecell 4740004923
distance 0.193
#4 · Jalgaoncell 4780004840
distance 0.215 · cross-district
#5 · Dhulecell 4740005663
distance 0.218
#6 · Dhulecell 4740004862
distance 0.219
#7 · Nashikcell 4870012797
distance 0.22 · cross-district
#8 · Jalgaoncell 4780010142
distance 0.222 · cross-district
#9 · Dhulecell 4740005196
distance 0.222
#10 · Beedcell 4700005433
distance 0.232 · cross-district
#11 · Jalgaoncell 4780004834
distance 0.234 · cross-district
#12 · Nandurbarcell 4860002779
distance 0.237 · cross-district
#13 · Dhulecell 4740005315
distance 0.237
#14 · Dhulecell 4740004858
distance 0.238
#15 · Dhulecell 4740005253
distance 0.238
#16 · Dhulecell 4740000408
distance 0.239
#17 · Dhulecell 4740004801
distance 0.239
#18 · Beedcell 4700003591
distance 0.24 · cross-district
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":4740005254}}}'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.