Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740004378
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
45
morphology-v2 feature dimensions
Closest twin distance
0.183
lower = more alike (weighted)
The twins, closest first
#1 · Jalgaoncell 4780005301
distance 0.183 · cross-district
#2 · Dhulecell 4740004522
distance 0.187
#3 · Dhulecell 4740004908
distance 0.196
#4 · Dhulecell 4740004708
distance 0.198
#5 · Jalgaoncell 4780005867
distance 0.2 · cross-district
#6 · Jalgaoncell 4780006159
distance 0.203 · cross-district
#7 · Dhulecell 4740005483
distance 0.206
#8 · Dhulecell 4740004046
distance 0.21
#9 · Dhulecell 4740004134
distance 0.21
#10 · Dhulecell 4740004589
distance 0.213
#11 · Dhulecell 4740004217
distance 0.213
#12 · Dhulecell 4740004779
distance 0.213
#13 · Dhulecell 4740005638
distance 0.215
#14 · Nandurbarcell 4860001893
distance 0.216 · cross-district
#15 · Jalgaoncell 4780004698
distance 0.217 · cross-district
#16 · Dhulecell 4740004571
distance 0.219
#17 · Ahmednagarcell 4660013014
distance 0.219 · cross-district
#18 · Jalgaoncell 4780005861
distance 0.219 · 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":4740004378}}}'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.