Bhārata Strata · Maharashtra · Pune · morphological twins
Places like cell 4900000446
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
0.91
GUM mean confidence of the anchor (R24)
Dimensions compared
45
morphology-v2 feature dimensions
Closest twin distance
0.108
lower = more alike (weighted)
The twins, closest first
#1 · Punecell 4900000979
distance 0.108
#2 · Punecell 4900000365
distance 0.205
#3 · Punecell 4900000443
distance 0.228
#4 · Sataracell 4940007834
distance 0.236 · cross-district
#5 · Punecell 4900000630
distance 0.262
#6 · Punecell 4900000305
distance 0.264
#7 · Sataracell 4940008541
distance 0.267 · cross-district
#8 · Punecell 4900000371
distance 0.272
#9 · Punecell 4900000534
distance 0.275
#10 · Sataracell 4940008243
distance 0.28 · cross-district
#11 · Sataracell 4940007941
distance 0.285 · cross-district
#12 · Sataracell 4940007434
distance 0.288 · cross-district
#13 · Sataracell 4940008351
distance 0.289 · cross-district
#14 · Punecell 4900000373
distance 0.289
#15 · Punecell 4900000981
distance 0.29
#16 · Punecell 4900000634
distance 0.291
#17 · Sataracell 4940008358
distance 0.296 · cross-district
#18 · Sataracell 4940008040
distance 0.297 · 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":490,"cluster_id":4900000446}}}'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.