Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740004401
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
0.101
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740004403
distance 0.101
#2 · Dhulecell 4740004476
distance 0.107
#3 · Dhulecell 4740004667
distance 0.122
#4 · Jalgaoncell 4780007271
distance 0.125 · cross-district
#5 · Jalgaoncell 4780007762
distance 0.127 · cross-district
#6 · Jalgaoncell 4780007401
distance 0.128 · cross-district
#7 · Jalgaoncell 4780004446
distance 0.132 · cross-district
#8 · Dhulecell 4740004230
distance 0.139
#9 · Dhulecell 4740003967
distance 0.14
#10 · Jalgaoncell 4780007640
distance 0.144 · cross-district
#11 · Jalgaoncell 4780007519
distance 0.145 · cross-district
#12 · Dhulecell 4740004653
distance 0.146
#13 · Dhulecell 4740004236
distance 0.148
#14 · Jalgaoncell 4780004918
distance 0.15 · cross-district
#15 · Dhulecell 4740004322
distance 0.151
#16 · Dhulecell 4740003968
distance 0.152
#17 · Dhulecell 4740004636
distance 0.155
#18 · Dhulecell 4740004601
distance 0.155
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":4740004401}}}'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.