open-standards/wai/ops-conformance/certificates/external.json
Transaction Science 0acf8193c1 ops-conformance: certificates of the sets held outside the tree, by digest
The CI-regenerated wai.neural.int_hyper set and the jpegai/v1 bundle are not
committed, so their bounds certificates are, under each set's digest, listed
in certificates/external.json. wai-sota-vectors.yml certifies the set it
regenerates and wai-jpegai-e2e.yml the bundle it fetches, and each requires
the committed bytes (--check) and its profile: acc64 for the int_hyper set,
whose three files had the same digests in every logged run and here, and acc32
for the bundle's scale path, whose set digest is the listing digest its
set-form pin already covers. `vectors verify` checks what it can without the
sets: each such certificate is canonical, names its set and meets its profile.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
2026-10-10 09:42:31 -04:00

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{"format":"wai-ops-external/1","sets":[{"capability":"wai.neural.int_hyper","lowering":"whm1/1","members":{"entropy.json":"cond_entropy.json","g_s.whm":"int_synth_sota_model.bin","h_s.whm":"int_hs_model.bin"},"name":"sota","note":"regenerated from pinned inputs by the job that certifies it; not committed","profile":"acc64","set_sha256":"f16fd09cd79b831d7d821e030c05e99e9fb5ea216574e699944ea4e55ac0a404","workflow":".github/workflows/wai-sota-vectors.yml"},{"capability":"wai.image.jpegai","lowering":"jpegai-int/1","members":{"norm.json":"norm.json","weights/hs_uv.json":"hs_uv.json","weights/hs_y.json":"hs_y.json","weights/hyp_uv.json":"hyp_uv.json","weights/hyp_y.json":"hyp_y.json","weights/icci.json":"icci.json","weights/mcm0_y.json":"mcm0_y.json","weights/mcm1_y.json":"mcm1_y.json","weights/mcm2_y.json":"mcm2_y.json","weights/mcm3_y.json":"mcm3_y.json","weights/synth_uv.json":"synth_uv.json","weights/synth_y.json":"synth_y.json"},"name":"jpegai/v1","note":"the models root's jpegai/v1, the files tools/jpegai-e2e-v1.sha256 pins; not committed","profile":"acc32","set_sha256":"3e243dc11566922f5cb7f4c628afd440b18d56a08b99b07cc33d5c8522aeec37","workflow":".github/workflows/wai-jpegai-e2e.yml"}]}