Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740004461
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 2 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.092
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740004306
distance 0.092
#2 · Dhulecell 4740004226
distance 0.093
#3 · Dhulecell 4740004387
distance 0.093
#4 · Dhulecell 4740004224
distance 0.097
#5 · Jalgaoncell 4780007257
distance 0.114 · cross-district
#6 · Dhulecell 4740004140
distance 0.116
#7 · Dhulecell 4740004588
distance 0.124
#8 · Jalgaoncell 4780006908
distance 0.128 · cross-district
#9 · Dhulecell 4740004593
distance 0.128
#10 · Dhulecell 4740004141
distance 0.129
#11 · Jalgaoncell 4780007265
distance 0.131 · cross-district
#12 · Dhulecell 4740004456
distance 0.131
#13 · Jalgaoncell 4780006300
distance 0.134 · cross-district
#14 · Dhulecell 4740004466
distance 0.134
#15 · Jalgaoncell 4780007040
distance 0.136 · cross-district
#16 · Jalgaoncell 4780007164
distance 0.136 · cross-district
#17 · Jalgaoncell 4780007151
distance 0.139 · cross-district
#18 · Dhulecell 4740004307
distance 0.141
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":4740004461}}}'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.