Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740001499
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 5 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.282
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740001283
distance 0.282
#2 · Nashikcell 4870012155
distance 0.284 · cross-district
#3 · Dhulecell 4740002640
distance 0.312
#4 · Dhulecell 4740001085
distance 0.335
#5 · Nashikcell 4870011803
distance 0.347 · cross-district
#6 · Dhulecell 4740001282
distance 0.35
#7 · Dhulecell 4740000153
distance 0.352
#8 · Dhulecell 4740001993
distance 0.386
#9 · Dhulecell 4740000221
distance 0.413
#10 · Dhulecell 4740000236
distance 0.415
#11 · Dhulecell 4740001704
distance 0.45
#12 · Jalgaoncell 4780000969
distance 0.459 · cross-district
#13 · Jalgaoncell 4780001652
distance 0.469 · cross-district
#14 · Dhulecell 4740001149
distance 0.469
#15 · Gadchirolicell 4750011697
distance 0.471 · cross-district
#16 · Jalgaoncell 4780001689
distance 0.474 · cross-district
#17 · Dhulecell 4740001378
distance 0.476
#18 · Ahmednagarcell 4660012683
distance 0.485 · 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":4740001499}}}'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.