Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740004091
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
0.285
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740003499
distance 0.285
#2 · Nashikcell 4870012342
distance 0.292 · cross-district
#3 · Nashikcell 4870008381
distance 0.293 · cross-district
#4 · Dhulecell 4740000386
distance 0.298
#5 · Dhulecell 4740003501
distance 0.299
#6 · Dhulecell 4740004178
distance 0.301
#7 · Ahmednagarcell 4660009010
distance 0.303 · cross-district
#8 · Jalgaoncell 4780009876
distance 0.304 · cross-district
#9 · Dhulecell 4740004006
distance 0.306
#10 · Nashikcell 4870008541
distance 0.307 · cross-district
#11 · Dhulecell 4740004103
distance 0.308
#12 · Dhulecell 4740002416
distance 0.309
#13 · Dhulecell 4740005255
distance 0.31
#14 · Nandurbarcell 4860002047
distance 0.31 · cross-district
#15 · Dhulecell 4740006091
distance 0.313
#16 · Jalgaoncell 4780009681
distance 0.322 · cross-district
#17 · Dhulecell 4740000376
distance 0.324
#18 · Dhulecell 4740003916
distance 0.327
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":4740004091}}}'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.