ci: regenerate the published API artefacts, and build Linux with LTO

update_version.sh had not been run for the adaptive spot-finding schema
change. Running it leaves the C++ server model and the TypeScript client
byte-identical to what the generators produced directly, but it also
regenerates two artefacts the direct calls do not touch and which are tracked:
the Python client's published documentation and the Redoc bundle. Both now
carry adaptive_threshold and false_pixels_per_frame.

LTO joins -march in the CI flags, which is why MARCH_CMAKE_FLAGS is now
LINUX_CMAKE_FLAGS - it no longer describes only the architecture. Measured on
rugnux against an otherwise identical build: 7-10% fewer retired instructions
and a 9% smaller binary, but only ~1.5% off the wall clock, because the
pipeline is GPU- and I/O-bound. It costs about 3x on an incremental rebuild
(9.8 s -> 30.1 s for one file plus link), so it stays out of CMakeLists and
out of a developer's edit cycle: CI builds from scratch and ships the result,
paying the link once. It links against CUDA with no special handling, and both
CI images already put gcc-toolset-13 on PATH, which -flto=auto requires.

MSVC is left alone: its LTO is a different flag (/GL + /LTCG) and nothing here
measured it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>

docs/python_client/docs/SpotFindingSettings.md

@@ -17,6 +17,8 @@ Name | Type | Description | Notes
 **quick_integration** | **bool** | Quick integration of Bragg spots in diffraction images. If enabled it will likely reduce performance of Jungfraujoch for datasets with a very high indexing rate. (experimental feature)  | [default to False]
 **ice_ring_width_q_recip_a** | **float** | Width of ice ring in q-space in reciprocal space | [default to 0.02]
 **high_res_gap_q_recip_a** | **float** | This parameter is used to remove spurious spots at a very high resolution, that sometimes appear due to very low background close to the edge of the detector. If there is a gap in (1/d)-space between spots of at least this size, spots on the side of the gap with high resolution will be discarded. This is optional parameter. This option should be turned OFF for small molecule datasets or for crystals with very low mosaicity, when it is expected to see only few spots in any case.  | [optional] [default to 1.5]
+**adaptive_threshold** | **bool** | Self-calibrating spot detection: replace the fixed photon_count_threshold by a per-resolution-ring threshold derived from each image's own noise, so the same setting works across datasets without per-dataset tuning. photon_count_threshold is then ignored and false_pixels_per_frame sets the operating point instead. Only available on detectors whose images are analysed in software (the DECTRIS/SIMPLON workflow). The JUNGFRAU and EIGER workflows find spots on the FPGA, which applies its own fixed threshold, so enabling this there is rejected rather than silently ignored.  | [optional] [default to False]
+**false_pixels_per_frame** | **float** | Operating point of the adaptive threshold: the number of noise pixels tolerated per frame. About 100 suits a multi-megapixel detector. Ignored unless adaptive_threshold is set.  | [optional] [default to 100.0]
 
 ## Example