Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000849
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.185
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740000741
distance 0.185
#2 · Dhulecell 4740000577
distance 0.189
#3 · Dhulecell 4740000853
distance 0.191
#4 · Dhulecell 4740000037
distance 0.208
#5 · Nashikcell 4870013244
distance 0.21 · cross-district
#6 · Dhulecell 4740000333
distance 0.214
#7 · Nashikcell 4870013028
distance 0.216 · cross-district
#8 · Nashikcell 4870006363
distance 0.217 · cross-district
#9 · Dhulecell 4740000839
distance 0.218
#10 · Nashikcell 4870013241
distance 0.218 · cross-district
#11 · Dhulecell 4740003189
distance 0.218
#12 · Dhulecell 4740000575
distance 0.218
#13 · Nashikcell 4870013175
distance 0.223 · cross-district
#14 · Ahmednagarcell 4660003855
distance 0.225 · cross-district
#15 · Dhulecell 4740000522
distance 0.227
#16 · Dhulecell 4740000650
distance 0.229
#17 · Dhulecell 4740000486
distance 0.23
#18 · Nashikcell 4870012593
distance 0.231 · 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":4740000849}}}'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.