Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740002874
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
44
morphology-v2 feature dimensions
Closest twin distance
0.221
lower = more alike (weighted)
The twins, closest first
#1 · Ahmednagarcell 4660007164
distance 0.221 · cross-district
#2 · Dhulecell 4740001455
distance 0.229
#3 · Dhulecell 4740001051
distance 0.237
#4 · Dhulecell 4740002871
distance 0.239
#5 · Dhulecell 4740003046
distance 0.252
#6 · Nashikcell 4870007107
distance 0.254 · cross-district
#7 · Dhulecell 4740001456
distance 0.257
#8 · Nashikcell 4870013305
distance 0.257 · cross-district
#9 · Dhulecell 4740003234
distance 0.259
#10 · Dhulecell 4740000275
distance 0.26
#11 · Beedcell 4700005812
distance 0.26 · cross-district
#12 · Dhulecell 4740000376
distance 0.26
#13 · Dhulecell 4740002863
distance 0.262
#14 · Dhulecell 4740002873
distance 0.265
#15 · Nashikcell 4870004321
distance 0.266 · cross-district
#16 · Ahmednagarcell 4660009378
distance 0.267 · cross-district
#17 · Nashikcell 4870005772
distance 0.273 · cross-district
#18 · Dhulecell 4740001958
distance 0.273
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":4740002874}}}'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.