Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740005718
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
44
morphology-v2 feature dimensions
Closest twin distance
0.135
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740005719
distance 0.135
#2 · Dhulecell 4740004387
distance 0.17
#3 · Dhulecell 4740005716
distance 0.176
#4 · Jalgaoncell 4780007165
distance 0.179 · cross-district
#5 · Jalgaoncell 4780007166
distance 0.189 · cross-district
#6 · Jalgaoncell 4780007037
distance 0.19 · cross-district
#7 · Jalgaoncell 4780007031
distance 0.191 · cross-district
#8 · Jalgaoncell 4780007168
distance 0.192 · cross-district
#9 · Dhulecell 4740004461
distance 0.193
#10 · Dhulecell 4740004224
distance 0.195
#11 · Jalgaoncell 4780007648
distance 0.197 · cross-district
#12 · Dhulecell 4740004393
distance 0.2
#13 · Dhulecell 4740004138
distance 0.203
#14 · Jalgaoncell 4780007164
distance 0.205 · cross-district
#15 · Dhulecell 4740005724
distance 0.205
#16 · Dhulecell 4740004306
distance 0.205
#17 · Dhulecell 4740004226
distance 0.206
#18 · Dhulecell 4740004388
distance 0.207
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":4740005718}}}'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.