Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740000340
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
0.141
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740002417
distance 0.141
#2 · Dhulecell 4740000308
distance 0.152
#3 · Dhulecell 4740002420
distance 0.162
#4 · Nashikcell 4870012506
distance 0.162 · cross-district
#5 · Dhulecell 4740000960
distance 0.165
#6 · Dhulecell 4740002288
distance 0.17
#7 · Dhulecell 4740002983
distance 0.171
#8 · Nashikcell 4870013103
distance 0.179 · cross-district
#9 · Dhulecell 4740002311
distance 0.18
#10 · Dhulecell 4740000450
distance 0.182
#11 · Dhulecell 4740000571
distance 0.182
#12 · Jalgaoncell 4780002330
distance 0.186 · cross-district
#13 · Nashikcell 4870013243
distance 0.191 · cross-district
#14 · Ahmednagarcell 4660003912
distance 0.191 · cross-district
#15 · Nashikcell 4870007675
distance 0.193 · cross-district
#16 · Dhulecell 4740002521
distance 0.195
#17 · Dhulecell 4740001156
distance 0.195
#18 · Nashikcell 4870012667
distance 0.198 · 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":4740000340}}}'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.