nx_cadtwin_research2.nx
buildroot/runtime/nx_cadtwin_research2.nx
about
nx_cadtwin_research2.nx -- FRESH 2025-2026 SOTA bank for the CAD car-twin reconstruction frontier (operator
2026-07-08: "build with the 25 and 26 research via nishi researcher, benchmark it there"). Banks the verified
2025-2026 papers the researcher agent found, so the census bars + builds are grounded in the CURRENT frontier
(not 2024). KEY FINDING baked into the bars: classical COLMAP MVS = 0.532mm DTU Chamfer ~= neural VGGT on
ACCURACY -> the sovereign classical path (nx_recon3d) is accuracy-competitive; neural feed-forward
(VGGT/Pi3/DUSt3R) wins SPEED + sparse-view, not fidelity. The ONE checkpoint-bound bottleneck = F4 scan->
parametric-CAD (CAD-Recode LLM). Same sovereign TLS stack as nx_cadtwin_research. Saves knowledge/fetched/
ct2_*.raw. Fetch status self-verifies (200 = real; non-200 skipped + reported). expect_exit: 0
license_tier: ORIGINAL
dependencies 4 imports · 0 importers
imports: nx_syscalls.nxnx_x509_trust_store.nxnx_trust_store_load_from_certdata.nxnx_https_fetch_follow.nx
imported by: nobody (leaf or entry point)
call flow from main pre-order; caps 40 nodes / depth 6 declared; ↻ = already shown
structs
| none |
consts
| 14 | const K_MAGIC_4194304: i64 = 4194304 |
| 15 | const K_MAGIC_8388608: i64 = 8388608 |
| 16 | const K_MAGIC_2026: i64 = 2026 |
functions
| 18 | func c2_puts(s: *u8) -> i64 { var n: i64 = 0; while s[n] != (0 as u8) { n = n + 1 } sys_write(1, s, n); return 0 } |
| 19 | func c2_putn(v: i64) -> i64 |
| 32 | func c2_have(path: *u8) -> i64 { let fd: i64 = sys_openat_rd(path); if fd < 0 { return 0 } sys_close(fd); return 1 } |
| 33 | func c2_fetch(url: *u8, opath: *u8, store: *TrustStore, out: *u8, cap: i64) -> i64 |
| 50 | func main() -> i64 |