Bhārata Strata · Maharashtra · Thane · morphological twins
Places like cell 4970000867
The MH-36 locality cells most similar to this Thane 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 7 distinct districts
Index confidence
0.9
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.317
lower = more alike (weighted)
The twins, closest first
#1 · Thanecell 4970000450
distance 0.317
#2 · Thanecell 4970000656
distance 0.399
#3 · Thanecell 4970001310
distance 0.448
#4 · Thanecell 4970001311
distance 0.479
#5 · Thanecell 4970001391
distance 0.503
#6 · Thanecell 4970001309
distance 0.508
#7 · Chhatrapati Sambhajinagarcell 4690003303
distance 0.549 · cross-district
#8 · Thanecell 4970000655
distance 0.549
#9 · Thanecell 4970000329
distance 0.562
#10 · Thanecell 4970000332
distance 0.574
#11 · Thanecell 4970000951
distance 0.582
#12 · Jalgaoncell 4780005469
distance 0.608 · cross-district
#13 · Thanecell 4970001041
distance 0.623
#14 · Akolacell 4670002154
distance 0.625 · cross-district
#15 · Amravaticell 4680002276
distance 0.627 · cross-district
#16 · Thanecell 4970001308
distance 0.631
#17 · Bhandaracell 4710002133
distance 0.641 · cross-district
#18 · Ahmednagarcell 4660005467
distance 0.643 · 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":497,"cluster_id":4970000867}}}'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.