open-standards/wai/tensor-conformance/vectors/w112_self_contained
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wai: the DCVC family and NNVC registered as candidates, and WFT1 tensor frames registered with their decoder
WAI named two of the DCVC neural video codecs and none of the rest, nothing for the
neural-network-based video coding exploration of ITU-T and ISO/IEC, and no lossless frame
format for tensors.

SPEC §5 registers wai.neural.dcvc, .dcvc_tcm, .dcvc_hem, .dcvc_dc and .dcvc_uf as candidates
(neural-float, media class video, patent-pool provisionally: the code is under MIT, which grants
no patent licence). Each published decoder takes its latent's entropy parameters from a temporal
context as well as the hyperprior, most from a spatial prior of two or four passes too, four
decode a motion latent, and DCVC-UF codes a chunk of frames as one latent; none fits the
inter-frame route of neural/video_dcvc.rs, whose latent comes from the hyperprior alone, and
none pins a bitstream. A new SPEC note says so, and that dcvc_rt and dcvc_fm decode through
that route with a sink-supplied temporal decoder. wai.video.nnvc is a candidate too: no
standard is published and the reference software's bitstream follows its release. Candidates
are refused by dispatch and never picked (SPEC §7.1), which the existing candidate tests now
cover for all six.

wai.tensor.weft registers one frame of the WeftCodec format 1.0 (WEFTCODEC-FORMAT v1.0.0,
WEFT-AI-CODEC v1.3.0, weftcodec 1.2.0) in mode RAW, TENSOR or FLOAT_TENSOR, naming no
dependency: lossless, its plaintext bound by a BLAKE3 content hash, so standard-defined;
royalty-free (text CC BY 4.0, reference implementation Apache-2.0). Any other mode is
UnsupportedMode, as the format requires of a decoder that does not implement a mode. The
reference is codecs::weft (feature weft): a decoder that checks a frame in the format's order
and refuses it with the format's own class, and writers that give the format's own frames byte
for byte. The corpus, tensor-conformance/, holds 77 of the format's frozen vectors with the
outcome this capability gives each, and 70 generated frames, five that decode and the rest with
one planted defect each, every class and every limit reached. weft_verify.py, its second
implementation, agrees on all 147, refuses all 143 changed frames, and requires each of its 77
checks to refuse some vector and to be needed: 72 alone, five (always backed by another check
with the same class) together with that check. staged_verify.py's video class names the DCVC
candidates as the reference's does. The registry export, REGISTRY.md and wai.h are regenerated.

Thirteen faults planted, each failing its tests: DCVC-HEM not a candidate, NNVC royalty-free,
DCVC-UF outside the video class, ZSTD admitted, no content hash, no header CRC, a 25-bit code
admitted, no exponent range, no table_len check, weft as neural-float, SPEC missing a class
(both implementations), and the second verifier without its exponent range.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
2026-11-09 09:54:31 -05:00
..
frame.wft wai: the DCVC family and NNVC registered as candidates, and WFT1 tensor frames registered with their decoder 2026-11-09 09:54:31 -05:00