Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900001257
The MH-36 locality cells most similar to this Pune 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
0.244
lower = more alike (weighted)
The twins, closest first
#1 · Sataracell 4940008956
distance 0.244 · cross-district
#2 · Punecell 4900003702
distance 0.352
#3 · Sataracell 4940008997
distance 0.36 · cross-district
#4 · Sataracell 4940008973
distance 0.393 · cross-district
#5 · Sataracell 4940007741
distance 0.394 · cross-district
#6 · Sataracell 4940007636
distance 0.396 · cross-district
#7 · Punecell 4900012462
distance 0.408
#8 · Sataracell 4940008050
distance 0.414 · cross-district
#9 · Punecell 4900001520
distance 0.42
#10 · Sataracell 4940008974
distance 0.42 · cross-district
#11 · Punecell 4900013015
distance 0.426
#12 · Punecell 4900012534
distance 0.426
#13 · Punecell 4900001258
distance 0.43
#14 · Punecell 4900012978
distance 0.434
#15 · Punecell 4900012977
distance 0.435
#16 · Punecell 4900012692
distance 0.438
#17 · Sataracell 4940008049
distance 0.438 · cross-district
#18 · Punecell 4900003568
distance 0.439
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":490,"cluster_id":4900001257}}}'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.