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open-standards/wai/http-conformance/objects.json
Transaction Science 3909f98a0e wai: the playlist corpus — layered, low-latency and player objects, playlists, receipts and adaptation vectors (W3-4, W3-5) 
Objects (O10 is the HTTP link's layer set, so these take the next numbers): O11a,
O11b and O11bL1, a staged-delivery pair with a layer over the second (the design's
O10, layered segments); O12s0/O12s1 and 24 parts O12p<s>_<pp>, a low-latency set of
two 3.84 s segments of twelve 0.32 s parts, each part its own object decoded alone
(the design's O11); O13a-c, the player fixture's WAI segments. Their payloads are
int_motion clips encoded once by this tree's encoder and frozen in src/ with their
SHA-256; the player fixture's classical presentation (H.264 fragmented MP4, playable,
no tool name left in it) is frozen in players/classical/.

Generated: the WAI media playlists beside their classical ones (O9, O10 with two
layer lines, O11, four live revisions, the player fixture), the multivariant
playlists, two MPDs, the published classical master with its one session-data line,
and a playlist receipt for every media playlist under a published test key, the live
revisions chained. Cases (new ops media_playlist, multivariant, mpd,
playlist_parse, adjacency, unchanged, playlist_receipt, live, abr, abr_order, depth;
fetch and same_pick under a policy's order) hold rendering, reading, adjacency, the
unchanged master, receipt checks and chains, parts verified against the cids later
revisions list, and 40 seeded states per adaptation policy with the budget's every
outcome. The tool needs video_manifest for the receipts.

Co-Authored-By: Claude Opus 5.5 <[email protected]>
2026-10-06 06:05:11 -04:00

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{
"O1": {
"cid": "df5337ea38c4d61fd15f006c08df937f480788fd669e7337b0f8105a5816a9d2",
"path": "objects/df5337ea38c4d61fd15f006c08df937f480788fd669e7337b0f8105a5816a9d2.wai",
"n": 859,
"h": 859,
"codecs": "wai1.neural.int_mlicpp",
"what": "WAI1, pinned, below one chunk is not reached: the head proof covers it whole"
},
"O2": {
"cid": "25130382f5d9c73ae59a04d1fbae1463693f3769c090744ebd5f1e80fa3b0a34",
"path": "objects/25130382f5d9c73ae59a04d1fbae1463693f3769c090744ebd5f1e80fa3b0a34.wai",
"n": 20250,
"h": 1009,
"codecs": "wai2.neural.int_mlicpp|image.avif|image.jxl|image.png",
"what": "WAI2 image: a pinned integer learned rendition, AVIF, JPEG XL and PNG of one picture"
},
"O3": {
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"path": "objects/6e485f112e849422fb9cfd279cb16b88c8d5ee1e72bafe4892992fc6bef88be9.wai",
"n": 98613,
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"codecs": "wai2.video.av1+meta.hdr10plus",
"what": "WAI2 video: AV1 at two rates, HDR10+ metadata bound to the higher by id"
},
"O4": {
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},
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"what": "segment 2 of 3: AV1 only (WAI1)"
},
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},
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