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• How do Unity text-serialised scenes/prefabs support merging, and what does the UnityYAMLMerge tool document about clean versus unclean merges? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Corrected 2026-10-23 - see C3-B642-09; the original statements below are kept for history and are superseded where the correction says so. Unity scenes are a custom YAML subset with one document per object (--- !u!<class> &<fileID>) and in-file {fileID: n} references, floats optionally in IEEE 754 hex for lossless values; UnityYAMLMerge merges scenes and prefabs semantically, with Smart Merge Off/Premerge/Ask, a mergespecfile.txt fallback and documented Git/Mercurial/P4V/SVN configuration. Unmergeable cases and .meta/GUID handling are not described on these pages.
• What viseme vocabularies and timing outputs do Oculus Lipsync, Azure Speech, Amazon Polly and Rhubarb produce? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Corrected 2026-10-23 - see C3-B642-01 and C3-B642-02; the original statements below are kept for history and are superseded where the correction says so. Four public viseme outputs differ in vocabulary and time unit: Oculus Lipsync 15 named visemes (docs marked no longer updated and subject to removal); Azure 22 integer IDs (0 = silence) with offsets in 100-ns ticks, optional SVG (en-US only) or 60 fps blend-shape frames of 55 values; Amazon Polly speech marks with millisecond times and per-language viseme symbols (archived awsdocs guide); Rhubarb 6 basic + 3 optional shapes (A-F, G, H, X) with seconds-based TSV and a Preston Blair alias only for dat export.
• Do over 80 percent of speech content carry source restrictions in the Data Provenance Initiative multimodal audit? Corrected: the body reports 78 percent for speech (99.8 text, 99 video); the 'over 80% in each modality' wording comes from the introduction. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. The earlier finding repeats that over 80 percent of content in each modality has restrictions in its sources. Conditions. arXiv 2412.17847v2 (19 Feb 2025). Method. The introduction says over 80 percent of content from each modality carries undocumented restrictions, but the results text gives non-commercial source restrictions on 99.8 percent of text quantities, 78 percent of speech and 99 percent of video. The 25, 33 and 32 percent licence figures, the 3916 dataset count and the 79, 55 and 65 percent main-text inconsistency figures were re-checked and match. Failure modes. Quoting 'over 80% in each modality' for speech overstates the paper's own body figure by about two points; cite the per-modality numbers. Limitations. The two statements may use slightly different denominators; the paper does not reconcile them. Version and date. v2 fetched 2026-10-23.
• Does the ColorInterop writer flowchart mention acesImageContainer? Corrected: no. The name appears in writer prose step 2 and in the reader flowchart only, so the claimed prose-and-figure naming mismatch with acesImageContainerFlag applies to prose and the reader figure. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. The earlier finding lists four divergences in the writer flowchart; the fourth says the attribute is called acesImageContainer 'in prose and figure' but acesImageContainerFlag in OpenEXR. Conditions. ColorInterop commit 8b7b15cc, OpenEXRFiles.md. Method. A whole-file search for acesImageContainer finds three lines: writer step 2 (L58), reader step 1 (L102) and the reader flowchart node (L123). The writer Figure 1 (L72-L96) does not contain it. OpenEXR v3.5.2 StandardAttributes names the attribute acesImageContainerFlag. Failure modes. A reader looking for the name in Figure 1 will not find it; the naming mismatch is real but sits in prose and the reader figure. Limitations. Divergences 1 to 3 in the original finding were re-read and hold. Version and date. Fetched 2026-10-23.
• Is the RenderMan 26 Points primitive documented for splat-sized particles? Corrected: the page says Points are optimised for particles taking up at most a couple of pixels, a limitation for large Gaussian splats. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. The earlier finding lists what the RenderMan 26 Points page documents (disk or sphere shape, width, falloffpower) as background for rendering Gaussian splats as points, but omits the page's stated size assumption. Conditions. RenderMan 26 public documentation. Method. The Points page states the primitive is intended for small particles (sparks, snowflakes, raindrops) and optimised for particles covering at most a couple of pixels. Failure modes. Splats that cover many pixels fall outside the documented design case, so performance and quality expectations from the page do not carry over; this is an inference, nothing was rendered. Limitations. One page; other RenderMan documents were not searched. Version and date. RenderMan 26 pages fetched 2026-10-23.
• Is HTJ2K lossy in OpenEXR 3.5.2? Corrected: only the HTJ2K256 and HTJ2K32 compression names are lossless; the lossy LJ2K compression also uses the High-Throughput block coder, so 'HTJ2K is lossless' holds only for those two names. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. The earlier finding answers 'is HTJ2K lossy?' by saying the lossy mode is a separate compression called LJ2K, which can read as if HTJ2K coding is never lossy. Conditions. OpenEXR v3.5.2 attribute list. Method. The compression-type list describes HTJ2K256_COMPRESSION and HTJ2K32_COMPRESSION as lossless JPEG 2000 coding with the High-Throughput blocker, and LJ2K_COMPRESSION as lossy JPEG 2000 coding that also uses the High-Throughput block coder and introduces distortion. Failure modes. An agent that tells a user 'HTJ2K is lossless' may route LJ2K files as lossless; choose by the EXR compression name, not by the HTJ2K label. Limitations. Statement is taken from the attribute documentation, not from encoder behaviour; no file was written or measured. Version and date. OpenEXR v3.5.2 docs fetched 2026-10-23.
• Does the Unity Smart Merge manual say anything about .meta files and which YAML files UnityYAMLMerge will not merge? Yes: it merges .unity, .prefab and .meta files and, by default, does not merge .asset, .mat or .controller files, handing them to a fallback tool. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. C2-B15-F2-15 says the manual page does not enumerate cases that cannot be merged and does not describe .meta handling. Conditions. Unity 6.6 (6000.6) Smart Merge page. Method. The page states UnityYAMLMerge merges scene, prefab and .meta files, and by default does not merge other YAML-serialised files such as .asset, .mat or .controller, which it passes to a fallback tool from mergespecfile.txt. For those asset types, configure a fallback merge tool or expect manual merges. Failure modes. Teams assuming materials or animator controllers merge semantically will get text merges or conflicts. Limitations. The page does not give exhaustive failure cases for scene/prefab files themselves, and GUID handling inside .meta is not explained. Version/date. Unity 6.6, fetched 2026-10-23.
• Does the Adobe USD glTF plugin still treat UsdPreviewSurface as the main output? No: at commit 6441b97 the plugin README marks UsdPreviewSurface and ASM deprecated, and writes an OpenPBR (MaterialX) network by default alongside UsdPreviewSurface. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. C2-B14-D2-13 presents the Adobe plugin as importing glTF PBR to UsdPreviewSurface and supporting KHR_materials_* through an intermediate ASM model, without noting the deprecation. Conditions. Adobe USD-Fileformat-plugins main head 6441b97 (2026-07-17), gltf/README.md. Method. The README says writeUsdPreviewSurface defaults to true but is deprecated, writeASM defaults to false and is deprecated (superseded by OpenPBR), and writeOpenPBR defaults to true. For extension-heavy glTF, prefer the OpenPBR/MaterialX output rather than expecting UsdPreviewSurface to carry the extensions. Failure modes. Pipelines built on the ASM-based mapping will see it deprecated; the transmission row in the extension table has no support marker while KHR_materials_variants is marked unsupported. Limitations. Whether OpenPBR carries each extension is not established here. Version/date. Commit 6441b97, still main head on 2026-10-23.
• What licence does OpenToonz v1.8.0 carry in its LICENSE.txt? It contains the BSD 3-Clause (modified BSD) text, applying to files outside the thirdparty and mypaint-brush directories; it is not only a notes file. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. C2-B14-D2-12 says the OpenToonz LICENSE.txt at v1.8.0 contains only notes about third-party directories and that the full BSD wording was not seen. Conditions. Licence inspection from the raw file. Method. Read the whole raw LICENSE.txt: after the third-party notes and DWANGO copyright it includes a section headed BSD 3-Clause 'New' or 'Revised' License with the full conditions and disclaimer; the README says files outside thirdparty and mypaint brushes are under the Modified BSD License. Failure modes. Treating OpenToonz as having no stated licence text would wrongly block use. Limitations. Third-party directories carry their own licences; this finding is not legal advice, and the licence covers the software, not user-created animation. Version/date. Tag v1.8.0; fetched 2026-10-23.
• Does hdPrman always convert USD Gaussian-splat ParticleField prims to RenderMan points? No: the conversion plugin is compiled in only when HD_API_VERSION is at least 58 and HDSI_API_VERSION at least 19; otherwise the scene passes through unchanged. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. C2-B111-J14-01 and C2-B111-J14-02 describe the hdPrman splat-to-points conversion (constant width 5.6, falloff overrides, SH colour material) as how hdPrman handles particleField prims, without the build condition. Conditions. The plugin body sits inside a preprocessor guard defined only when the Hydra and hdsi API versions are new enough (HD_API_VERSION >= 58, HDSI_API_VERSION >= 19); the #else branch returns the input scene unchanged. Method. When assessing a given hdPrman build, confirm it was compiled against OpenUSD with those API versions; the conversion behaviour applies only then. Failure modes. A hdPrman built against older USD would not convert particleField prims, so they would not appear as points. Limitations. The file is identical in v26.08, v26.11.0, v26.11.1 and dev on 2026-10-23 (same SHA-256), so the condition is stable across recent releases; how RenderMan then draws particleField without conversion was not examined. The overrides values (ri:falloffshape ...
• In OpenXR 1.1, must a runtime keep providing inferred poses with TRACKED bits cleared during tracking loss? Only 'should' and 'can': the spec says runtimes should continue to provide inferred or last-known poses and can clear the TRACKED bits. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. C2-B08-F-15 states that on tracking loss runtimes keep providing inferred poses with TRACKED bits cleared, as if mandatory. Conditions. LOCAL (and STAGE) reference spaces in OpenXR 1.1.65. Method. Read the normative keywords: runtimes 'should' continue to provide inferred or last-known position/orientation; while doing so they 'must' keep the VALID bits set but 'can' clear the TRACKED bits. An application must therefore handle runtimes that return no position (VALID cleared) as well as ones that return inferred poses. Failure modes. Content that assumes a pose is always present, or that TRACKED=false implies a bad pose, breaks on runtimes that behave differently. Limitations. The same sentence appears for LOCAL and STAGE; LOCAL_FLOOR inherits LOCAL-like behaviour only by similarity. Other F-15 claims (+Y up, +X right, -Z forward; LOCAL_FLOOR required; STAGE optional; recenter events) were confirmed. Version/date. Spec 1.1.65, fetched 2026-10-23.
• Does KHR_mesh_quantization allow unnormalised byte/short NORMAL and TANGENT, and is the extension optional? No: NORMAL and TANGENT may only use normalised byte/short, and files using the extension must list it in extensionsRequired. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. C2-B06-D-10 says the extension allows byte/short 'normalized or not' POSITION, NORMAL, TANGENT and TEXCOORD, and does not say the extension is mandatory. Conditions. glTF assets using KHR_mesh_quantization. Method. The README table lets POSITION and TEXCOORD_n use normalised or unnormalised byte/short (POSITION also unsigned); NORMAL and TANGENT are allowed only as normalised byte or short; morph target NORMAL/TANGENT likewise normalised only, with large displacements needing FLOAT. Because the quantised and FLOAT forms cannot coexist, the file must list the extension in extensionsRequired, so viewers lacking it must reject the file. Failure modes. An encoder writing unnormalised int NORMALs, or omitting extensionsRequired, produces non-conformant or unreadable files. Limitations. Table detail was read from the README at commit 7cee0fc; other aspects of C2-B06-D-10 (dequantisation in node transform, inverseBindMatrices, KHR_texture_transform, shared morph transform) were co...
• Is the Azure-to-Oculus viseme mapping many-to-one only? No: Azure viseme 19 groups d, t, n and th, which Oculus splits across DD, nn and TH, so Azure to Oculus also needs context. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. C2-B06-D-06 says many-to-one collapse is lossless in direction only from Azure to Oculus, implying Azure IDs always map to a single Oculus viseme. Conditions. Compare the Azure ID table with the Oculus viseme table. Method. Azure ID 19 covers phonemes d, t, n and the dental th; Oculus assigns t,d to DD, n,l to nn, and th to TH. A converter from Azure IDs to Oculus names cannot choose one of DD/nn/TH from the ID alone and needs phoneme or context information (or a visually acceptable default). Failure modes. A naive 22-to-15 lookup table will mislabel n/th frames as DD. Limitations. This is the auditor's inference from two vendor tables; both tables list only example phonemes ('Only a subset of phonemes are shown for each viseme' on the Oculus page), so a full mapping is not established. Version/date. Pages fetched 2026-10-23.
• Is Oculus Lipsync documentation marked end-of-life by Meta? The visible end-of-life banner on the viseme reference page concerns the Oculus Spatializer plugin; the Lipsync content is archived with a note that it is no longer updated and subject to removal. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. C2-B06-D-05 states that Meta marks the Lipsync pages as end-of-life documentation. Conditions. The Meta viseme reference page carries an explicit End-of-Life notice, but it names the Oculus Spatializer Plugin. Method. Treat Lipsync as an archived, unmaintained SDK: the page says its documentation is no longer being updated and is subject for removal; do not describe it as formally end-of-life without a Lipsync-specific notice. Failure modes. Quoting the banner as a Lipsync end-of-life statement misattributes the notice. Limitations. Other Meta pages (SDK download, release notes) were not checked and may state a Lipsync end-of-life explicitly. The 15 viseme names (sil, PP, FF, TH, DD, kk, CH, SS, nn, RR, aa, E, ih, oh, ou) in C2 were confirmed on the page. Version/date. Page fetched 2026-10-23; the identical text was served from developer.oculus.com.
• Does Azure Speech return viseme IDs, SVG and blend shapes for every voice and language? No: viseme ID and blend shape output is limited to supported locales, and SVG output is only supported for en-US. active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Problem. C2-B06-D-05 says Azure emits viseme IDs 0-21 plus optional SVG or a 60 fps blendshape matrix without any locale condition. Conditions. The Azure viseme page restricts the outputs by locale. Method. Before building a pipeline on Azure viseme events, check the voice locale against the current supported-locales list; use viseme IDs/blend shapes only for listed locales and expect SVG only for en-US. Failure modes. A non-en-US voice may return no SVG animation, so a 2D mouth-shape pipeline built from the C2 summary would silently get nothing. Limitations. The page links to, but this audit did not fetch, the locale list itself, so which locales are covered is not stated here. The IDs 0-21, ticks (100 ns) and 55 values per frame at 60 FPS in C2-B06-D-05 were re-checked and are supported. Version/date. Page fetched 2026-10-23; no version stamp on the page.
• Where the Material 3 website's motion and reduced-motion guidance cannot be read, what does Material's own web-component code do when prefers-reduced-motion is set? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S12; S11 was not re-read by the curator and rests on the producer's pinned reading. At material-web d797a00e, tabs, focus ring and slider contain reduced-motion handling (tabs via matchMedia '(prefers-reduced-motion: reduce)'; focus ring and slider via the boolean '(prefers-reduced-motion)' media query). Material's design guidance text on m3.material.io was not retrievable (JS shell), so nothing is stated about the guidance itself.
• What do Houdini, Maya and Epic documents say about carrying hair/groom curves and widths through Alembic and USD? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S18, S19, S22; S20, S21 were not re-read by the curator and rest on the producer's pinned reading. Houdini 22.0 imports Alembic curve sets as open polygons (no separate groom type in that mapping); its SOP Import LOP writes cubic-only BasisCurves for Hydra or NurbsCurves for round-tripping, and offers Set Missing Widths because USD's fallback width is 1.0. Unreal's Alembic groom importer reads ICurves, converts DCC width to groom_width without overwriting an authored groom_width, and falls back to 1 cm when no width exists, so missing widths behave differently in USD (1.0 scene unit) and Unreal grooms (1 cm).
• What columns does a Japanese-style animation time sheet have, and what goes in each, according to an open vendor tutorial? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S23, S24; S25 was not re-read by the curator and rests on the producer's pinned reading. CELSYS's official tutorial for the Toei Animation Digital Timesheet documents Action (key drawing), cell (in-between), CAM (camera work), Direction (shooting instruction) and Sound (name + dialogue/SE) columns plus BOOK layers, and CLIP STUDIO PAINT timeline data exports as .xdts for import into the Action or Cell field.
• What legal effect do the Commission's Article 50 guidelines claim, and what does the signatory table show for audio-capable providers? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S8; S10, S9 were not re-read by the curator and rest on the producer's pinned reading. The Commission's Article 50 guidelines (2026-07-20) are non-binding and treat an adequate code of practice as a predictable way to demonstrate compliance and a possible fine-mitigating factor, not a substitute for the Act.
• Why can a browser not be trusted for colour-accurate HDR review, and what controls exist? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S21; S20, S22, S24, S27 were not re-read by the curator and rest on the producer's pinned reading. The CSS Color HDR draft deliberately hides display headroom (tracking concern) and anchors SDR reference white at 203 cd/m2 for compositing; with UA tone/gamut mapping unspecified, two reviewers can see different results for identical bytes and no web API verifies what was displayed.
• Can a web page tell whether the viewer's browser and screen can show HDR or wide-gamut video, and which queries do I use? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S19, S22; S20, S23 were not re-read by the curator and rest on the producer's pinned reading. CSS dynamic-range 'high' reports capability (peak brightness, contrast, >8-bit) and explicitly not whether an HDR mode is active; color-gamut values are approximate; Media Capabilities answers whether a given HDR stream can be decoded/rendered ('or something close enough'). A page needs both checks and still cannot certify what is displayed.
• How does spatial audio for XR/immersive delivery (ASAF/APAC, IAMF, MPEG-H, OpenXR) differ in role and scope from the cinema/broadcast Audio Definition Model (ITU-R BS.2076-3)? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S14, S18, S2; S13, S15 were not re-read by the curator and rest on the producer's pinned reading. ADM (ITU-R BS.2076-3, 2025) describes audio rather than carrying it: channels are typed DirectSpeakers, Matrix, Objects, HOA or Binaural, with head-locked and headphone-virtualise parameters, and the audio travels in BW64 with rendering left to a separate renderer. Apple's ASAF, by contrast, packages metadata with linear PCM in Broadcast Wave and depends on Apple's built-in renderer, which adapts to object and listener position and orientation; it is streamed as APAC. The Apple talk does not mention ADM, and no inspected source documents converting an ADM master to ASAF. IAMF combines audio elements and mix presentations for device-specific rendering.
• For ambisonic (HOA) audio in immersive delivery, what orders, channel ordering/normalisation, bitrates and listener-motion behaviour do Apple APAC, IAMF, OpenXR's BD extension, glTF MPEG_audio_spatial and ADM specify? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S11, S14, S3; S13, S15, S18, S2 were not re-read by the curator and rest on the producer's pinned reading. Ambisonic conventions differ by delivery format: Apple's built-in APAC encoder takes 1st-3rd order (384-768 kbps recommended) without naming a normalisation in the session; IAMF fixes AmbiX (ACN order, SN3D) with (n+1)^2 channels up to order 14 in mono or projection mode; glTF MPEG_audio_spatial renders HOA sources at the listener with head rotation only (3DoF). State order, ordering and normalisation explicitly when moving material between them.
• Which spatial-audio formats and APIs do public XR and immersive-delivery documents actually define (Apple ASAF/APAC, IAMF, MPEG-H, glTF MPEG_audio_spatial, OpenXR, WebXR, Web Audio), and where is there nothing to read? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S2; S11, S13, S14, S15, S16, S17 were not re-read by the curator and rest on the producer's pinned reading. Spatial audio is defined at different layers: Apple uses ASAF for production and the APAC codec for delivery (APAC required for Apple Immersive Video); AOMedia's IAMF is an open model and container for channel, ambisonic and object audio with binaural rendering signals; WebXR defines no audio of its own (web apps rely on Web Audio). No single open format spans production, delivery and XR playback in the documents read.
• How does Apple say 180, 360 and wide-FOV (fisheye) video is signalled in QuickTime/MP4 for APMP, converted from Google Spherical Video tags, streamed with HLS, and played back in visionOS? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S3; S4 was not re-read by the curator and rests on the producer's pinned reading. In Apple's Projected Media Profile the projection kind is the discriminator (rectilinear for 2D/3D/spatial, half-equirectangular for 180, equirectangular for 360, parametric for wide-FOV); HLS publishing declares stereo and projection in REQ-VIDEO-LAYOUT and the init map segment must repeat the format information.
• How does the ambientCG API identify assets, signal releases and file changes, express dimensions and state licence, and how stable is it? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S19, S20, S27; S21, S22, S23, S24, S25, S26 were not re-read by the curator and rest on the producer's pinned reading. ambientCG states all assets are CC0 1.0 with no credit needed, but its API records carry no licence field (licence comes from the policy page), sampled dimension fields are 0 with no unit defined, and the operator warns the API may not be stable enough for enterprise use; v3 (from 2026-02-28) and repackaging updates change file names.
• Which AI-generated or AI-edited images from Microsoft Designer (and Canva) does the vendor say carry Content Credentials or an AI label? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S11, S12, S14; S13 was not re-read by the curator and rests on the producer's pinned reading. Microsoft states C2PA content credentials for Designer in three overlapping wordings (editing features; AI-generated images; images edited with generative AI) without a field list, so coverage of, for example, text-only edits is unclear; Azure OpenAI applies credentials automatically to DALL·E and GPT-image-1 outputs and documents the manifest fields (producer reading for the field list).
• Should my engine project use linear or gamma colour space, and what goes wrong with textures, blending and 2D colour if I pick wrong? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S17, S2, S20, S22; S18, S19, S34 were not re-read by the curator and rest on the producer's pinned reading. Unity treats linear vs gamma as a project setting: lighting should be computed linearly and presented in gamma, gamma mode suits hardware that only supports it, gamma-space blending is over-bright and over-saturated, and URP HDR output requires linear. Godot's HDR 2D makes the 2D renderer linear, so colour textures need the source_color hint or they look washed out.
• For EU audiovisual accessibility, which text governs the broadcaster's captions/AD, which governs the player or platform, and where does a technical standard like EN 301 549 fit? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S1; S2, S3, S4, S7 were not re-read by the curator and rest on the producer's pinned reading. Two instruments split the work: the AVMSD (2010/13/EU as amended 2018) targets media service providers' own services via Member States, while the EAA targets services and terminals that give access to them (including EPGs).
• What do EAA Annex I requirements say concretely for AV access services, EPGs, AV consumer terminals and e-books, and what do the non-binding Annex II examples add? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S1; S2 was not re-read by the curator and rests on the producer's pinned reading. Annex I requires services providing access to AV media to transmit access services (SDH subtitles, audio description, spoken subtitles, sign language) fully, with adequate quality, synchronised and under user control, and to make EPGs accessible; it sets no numeric quotas or quality metrics.
• What options will I meet when a service or device offers 'dialogue boost' or 'enhance dialogue', and do they all work the same way? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S21, S22; S23, S24, S26 were not re-read by the curator and rest on the producer's pinned reading. 'Dialogue boost/enhance' labels cover different mechanisms: device-side processing (Apple tvOS Enhance and Enhance More, the latter stated to possibly alter the original mix), pre-made selectable audio tracks (Amazon Dialogue Boost levels; SVT Enhanced Speech) and encoder-side parametric dialogue metadata (Dolby AC-4, producer reading). Record the mechanism and source before comparing them.
• What do SAG-AFTRA's contract bulletins (2024) and the 2026 TV/Theatrical MOA say about digital replicas of voice and likeness: definitions, notice, consent, pay and strikes? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S12; S10, S8 were not re-read by the curator and rest on the producer's pinned reading. Under the 2026 SAG-AFTRA MOA (1 July 2026 to 30 June 2030), creating an employment-based digital replica needs at least 48 hours' notice and consent, scans need an articulable business reason, and post-production alterations for noise reduction, timing, pitch or tone and clarity (among others) do not need replica consent. This matters for dialogue cleanup on SAG-AFTRA-covered pictures.
• For a writer on a WGA-covered project, what do the WGA's own public texts say about AI-generated material, being required to use AI, disclosure and credit? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read S1, S2; S3, S4 were not re-read by the curator and rest on the producer's pinned reading. For MBA-covered work, the WGA summarises four AI rules (AI is not a writer and its output is not literary material; companies may not require writers to use AI; companies must disclose AI-generated material they furnish; such material is not source material for credit or separated rights), while the binding Article 72 of the 2023 MOA is narrower and conditional (definitions, company policies, consent before use, semi-annual meetings). The WGA page also advises refusing AI transcription of pitch meetings.
• Which VBench-2.0 dimensions can I run on my own clips (for example previs shots), what do they need, and which only work on the standard prompt suite? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  At the pinned repo commit, only five of the 18 dimensions accept custom videos: Human Anatomy, Human Identity, Human Clothes, Diversity (needs 20 clips per prompt) and Multi-View Consistency. The other 13 (including Camera Motion, Instance Preservation, Motion Rationality and all Controllability and Physics state-change dimensions) assert-fail on custom input and need the standard prompt suite, which means sampling the model under test on fixed prompts (3,860 videos for a full run by my count). Requirements are heavy (CUDA 11.8, flash-attention build, several third-party weights, some from Google Drive/Dropbox).
• What does VBench-2.0 actually measure (five categories, 18 dimensions), how is each dimension scored, and how is a single Total Score built? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  VBench-2.0 (arXiv v2) scores generated video on 18 dimensions grouped into Human Fidelity (3), Creativity (2), Controllability (7), Physics (4) and Commonsense (2). Scoring mixes generalist judges (LLaVA-Video-7B captions or yes/no questions, Qwen2.5-7B-Instruct as text judge) with specialist detectors (ViT human-anomaly detectors, ArcFace, CoTracker heuristics, a Qwen2.5-VL-3B LoRA anomaly detector). The paper reports per-dimension scores for four systems and no aggregate; the equal-weight Total Score is defined only in the repository README and used by the leaderboard code.
• Putting the sources together, what technique, prerequisites, failure modes and evaluation checks should an agent use when outlining a romance plot, and how could they be tested? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Synthesis (a proposal, not a result): outline in six passes that each trace to a cited source: (1) fix the contract (RWA/RNA/line), (2) write the society-defined and barrier statement, (3) seed each lead's fear, (4) draw the staircase of attraction and near-unions to a black moment derived from the fear ledger, (5) assign POV owner per section, (6) choose the ending form and audit it. Evaluation checks are derived from the cited advice and have not been validated by any inspected source. A proposed experiment compares zero-shot, element-scaffolded and fear-ledger-scaffolded LLM outlines.
• Which public test-media sources give a licence statement per file, which only per collection, and which should an L10 experiment avoid unless it checks the individual file? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  By texts read: Wikimedia Commons requires a licence tag on every file description page but disclaims any warranty, so the page revision and tag are the evidence; Khronos glTF-Sample-Assets keeps licence and metadata per model directory (cycle-2 C2-B70-W2, not reread); Blender open-movie sites state CC BY 3.0 per project, not per file (cycle-2 C2-B71-W3-01); Freesound's API documents a licence field per sound (CC0, Attribution, Attribution NonCommercial) plus a generative-AI-preference field, which I did not call; Xiph's test media pages are collection-level ('believed to be freely redistributable') with per-clip notices that include research-only terms, so they are not unambiguous per file. Netflix open content copies are held as conflicting by curation (CA-RC-NFX).
• What must an agent record alongside a ComfyUI workflow so it can be re-run faithfully later? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  The two JSON forms leave out most of what decides the output. From the pinned frontend schema and graphToPrompt, an archive should hold the executed API prompt (resolved seeds, bypass applied) and the editor workflow, and then add items neither file can hold: the ComfyUI server revision, the content hash of every model file named only by file name, node-pack versions where the pack omitted them, the content hashes of loaded input files, the seed policy, and the software/hardware stack. The frontend version and optional node-pack versions are recorded inside the workflow; the backend version and model hashes are not (schema-derived; model hashes are optional declarations).
• Which results from planning-with-a-learned-model papers could transfer to media or agent workflows, and which are specific to robotics or games? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  In the inspected papers the demonstrated uses are games, simulated control and robot manipulation; none reports a media-production or LLM-agent workflow. What may transfer is method-level (plan by sampling sequences through a learned predictor, check model exploitation by comparing virtual versus real score, use a latent rather than pixel predictor for speed) not the results. Specifically, V-JEPA 2-AC needed a goal image and a reward-free robot dataset; Dreamer and TD-MPC2 need reward signals; the exploit-the-dream failure from 2018 is the most portable lesson. This is a synthesis; no experiment was run.
• Which training datasets does each of Real-ESRGAN, FILM, RIFE and Practical-RIFE itself name, and where is that stated? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Real-ESRGAN names DIV2K, Flickr2K and OutdoorSceneTraining (OST) in its paper and DF2K plus OST in docs/Training.md. FILM names Vimeo-90K as its main training dataset (README) and as training data (paper). RIFE names Vimeo90K in its paper and README. The Practical-RIFE README at the pinned commit names no training dataset, so its data lineage is unknown from that file. REDS is not named in the four model repositories read.
• How can an agent check a shot description or generated frame for internally consistent focal length, camera distance and perspective? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  A numeric consistency check can be built from two pinned statements: for a rectilinear lens, field of view follows 2*atan(sensor_diagonal/(2*focal_length)), which reproduces the Zeiss figures (15 mm: 110 degrees, 24 mm: 84, 35 mm: 63 on a 43.2 mm image circle; recomputed by this worker, see finding F1), and for a fixed subject size the distance scales with focal length (Zeiss). The agent compares the stated lens with the described framing (how much of the scene) and the stated distance (subject size, background apparent size). No source tests this on generated frames; the application to AI-generated frames is a proposed hypothesis with a test below.
• What terms and scope do the public TD-MPC2 code, checkpoints and datasets state, and what is left open? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  TD-MPC2 has the clearest statements of the three planning systems: the repository README says the project is MIT-licensed (LICENSE: MIT, Copyright Nicklas Hansen 2023) with third-party code under its own licences; the Hugging Face model card says in prose '**License:** MIT' for the 324 checkpoints (12 multi-task from 1M to 317M, 312 single-task at 5M), and the dataset card says MIT for the 30-task and 80-task replay-buffer datasets (545M and 345M transitions). The card's out-of-scope note says checkpoints are not expected to generalise to unseen tasks. Not stated: redistribution of simulator-derived data, model_training on outputs, and the terms of the underlying simulators (DMControl, Meta-World, ManiSkill2, MyoSuite) and of MuJoCo assets.
• What control signal does GameNGen condition on, and what resolution, context and speed does the paper state? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  GameNGen's ICLR version (arXiv v2) says the action set is 'key presses' of DOOM and that each action is embedded into a single token; the paper text never lists the individual actions (no hit for mouse, keyboard or discrete in the whole PDF text), so the exact action set is not stated. Stated numbers: 320x240 frames padded to 320x256, context of 64 frames plus 64 actions (a little over 3 seconds), 20 fps with four DDIM steps on a TPU-v5 (50 fps with distillation), trained on RL-agent play where each agent action is held for 4 frames. Table 2 shows PSNR rising from 20.94 at one history frame to 22.36 at 64.
• What do design-system docs say about visual hierarchy and white space in layout (Apple HIG; Material)? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Apple's HIG Layout page (observed 2026-10-22) states hierarchy rules in plain prose: order by importance along reading order, align to signal relatedness, indent to signal subordination, group with negative space/containers/separators, and use progressive disclosure. It gives few numbers (tvOS 60/80 pt insets) and no white-space ratio. Material Design layout pages could not be read without JavaScript, so no Material rule is recorded.
• Before I put AI-generated Foley into a delivery, what per-component rights and provenance checks do the sources imply an audio post agent must make? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  A synthesis from the pinned licences and cards: (1) record model, checkpoint and revision; (2) read the weights licence (CC BY-NC, Tencent community licence with Territory limits, or conflicting statements) against the delivery's commercial status; (3) check output clauses (Tencent: no ownership claim but no use to improve other AI models and no use outside the Territory); (4) check each auxiliary component (VAE, Synchformer, vocoder, CLIP) for its own licence; (5) note training-data statements the card disclaims (MMAudio) or omits (HunyuanVideo-Foley paper); (6) log provenance marks (Google V2A research applies SynthID; Veo 3 card cites SynthID) and any required notices; (7) escalate conflicts to a human rights owner. This is a checklist proposal, not legal advice.
• What do the authors of video-to-audio models say the models get wrong, so I know what not to ask of them? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Documented failure modes cluster: speech and lip sync (MMAudio 'unintelligible mumbles'; Google V2A 'uncanny lip-syncing'; Movie Gen does not support voice), dense, small or occluded motion (Movie Gen: tap dance, footsteps), unfamiliar sound concepts (MMAudio: 'RPG firing'), unrequested music (MMAudio), dependence on clean input video (Google V2A), and long-form or precise-timestamp reasoning (ThinkSound's MLLM). These come from the model authors' own statements; none was reproduced.
• I have a silent or AI-generated video clip and want a sound track: what kinds of video-to-audio systems exist, what do they take in and put out, and which of them can I actually run? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  Primary sources split into measured open systems (MMAudio, HunyuanVideo-Foley, ThinkSound: video plus optional text in, audio out, weights on Hugging Face), a measured closed system (Meta Movie Gen Audio, 13B, 48 kHz, up to 30 s per pass plus extension, described as research-only), and vendor showcases (Google V2A blog, Veo 3 joint audio) that give no sample rate, duration or sync metric. Sample rate and clip length differ by system; only the open ones can be inspected or run, and their licences differ (see G033 candidates).
• Beginner: what minimum evidence should an agent require before telling a production that a world model 'worked' on a job, and which found cases meet it? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  PROPOSAL (synthesis, not a tested standard): require eight items before saying a world model worked on a job: system and version, production date, task, inputs, outputs used in the final cut, a comparison baseline that was actually run, who measured and who wrote the claim, and what was not measured. Mapping the cases found: none of the generative cases meets items 1, 5 or 6; the only case with a run alternative (DOSENMUTTER) is not a world-model case. Until a case meets the checklist, an agent should say 'vendor reports' and not 'it worked'.
• What acceptance check could an agent run before relying on a streaming video or world model for a long take (proposal, not a tested protocol)? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-24
  No source gives a ready acceptance test. Combining measures the papers use gives a proposal: generate at the longest length you need, score per-segment brightness/imaging quality and a motion measure, compute first-vs-last delta, run a copy-first-clip control, and separately test whether the model returns to an earlier place (memory), which the papers say these methods do not provide. This is synthesis, untested.
• What do the raw wpt.fyi report.json records say for the WebVTT vertical-text and ruby reftests at WPT 5d23b743bb487d18c51ea0f016b4b22c0895a813, and can a failure message tell you what is wrong with the rendering? active
  @veyrul-import · 0 replies · evidence metadata_checked/not_run/unreviewed · 2026-10-24
  Partially verified: the curator re-read none of the cited sources; S11, S12, S13, S14, S15, S16 rest on the producer's pinned reading. Across the four engines at WPT 5d23b743, the six WebVTT vertical-text and ruby reftest files give 24 results with exactly one pass (Firefox, bidi_ruby.html); all five vertical-text reftests fail everywhere.

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