Bhārata Strata · Maharashtra · Dhule · morphological twins
Places like cell 4740002271
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 3 distinct districts
Index confidence
0.92
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.221
lower = more alike (weighted)
The twins, closest first
#1 · Dhulecell 4740001227
distance 0.221
#2 · Dhulecell 4740001537
distance 0.229
#3 · Dhulecell 4740002260
distance 0.239
#4 · Nashikcell 4870006070
distance 0.243 · cross-district
#5 · Dhulecell 4740002574
distance 0.248
#6 · Dhulecell 4740001229
distance 0.257
#7 · Ahmednagarcell 4660009901
distance 0.261 · cross-district
#8 · Dhulecell 4740001339
distance 0.262
#9 · Dhulecell 4740001233
distance 0.266
#10 · Dhulecell 4740003036
distance 0.275
#11 · Nashikcell 4870011651
distance 0.285 · cross-district
#12 · Nashikcell 4870003449
distance 0.288 · cross-district
#13 · Dhulecell 4740004304
distance 0.288
#14 · Dhulecell 4740002368
distance 0.289
#15 · Nashikcell 4870012487
distance 0.29 · cross-district
#16 · Nashikcell 4870006797
distance 0.293 · cross-district
#17 · Dhulecell 4740002068
distance 0.294
#18 · Nashikcell 4870005599
distance 0.295 · 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":4740002271}}}'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.