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frame

Syntologyentry name in harvested coderead from the graph 2026-09-24

frame appears in the code Syntology harvested for 11 papers, as 6 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 3 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named frame do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 2 of the 6 distinct code bodies named frame; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
1ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 11 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

11 papers shown of 11, newest first; 11 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive, and the graph's for 1 papers added by Syntology. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
The Signal Rail: A Deterministic Motion Grammar for Communicating Conversational Agent State in Terminal Interfaces added by Syntology 2026-08 (from id) matteo-grella/signal-rail/rail.py 575f83eb53b7b6e1 ran · our draft was wrong MIT (permissive)
BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Behavioural Change 25 May 2025 harritaylor/torchvggish/torchvggish/mel_features.py b65573125c5eb0f4 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings 14 Sep 2023 arnabdas8901/StarGAN-VC_PlusPlus/features.py 4e97257128ddcb72 ran MIT (permissive)
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion 14 Sep 2023 suhitaghosh10/emo-stargan/Models/features.py 4e97257128ddcb72 ran MIT (permissive)
BEANS: The Benchmark of Animal Sounds 2022-10 (from id) earthspecies/beans/beans/torchvggish/mel_features.py bb4f7d8a2d24296f unverified MIT (permissive)
Taming Visually Guided Sound Generation 17 Oct 2021 v-iashin/video_features/models/vggish/vggish_src/mel_features.py b65573125c5eb0f4 unverified MIT (permissive)
musicnn: Pre-trained convolutional neural networks for music audio tagging 14 Sep 2019 jordipons/sklearn-audio-transfer-learning/src/mel_features.py b65573125c5eb0f4 unverified ISC (permissive)
Weakly Labelled AudioSet Tagging with Attention Neural Networks 2019-03 (from id) qiuqiangkong/audioset_classification/extract_audioset_embedding/mel_features.py b65573125c5eb0f4 unverified MIT recorded; this copy not marked cleared · pointer only
VoxCeleb2: Deep Speaker Recognition 14 Jun 2018 MainRo/deep-speaker/deep_speaker/toolbox/audio_features.py 3bbf8d73f6b7970c unverified MIT (permissive)
Multi-level Attention Model for Weakly Supervised Audio Classification 6 Mar 2018 IBM/MAX-Audio-Classifier/core/mel_features.py 3f76530d9bfe10a4 unverified Apache-2.0 (permissive)
CNN Architectures for Large-Scale Audio Classification 29 Sep 2016 IBM/MAX-Audio-Embedding-Generator/core/mel_features.py 3f76530d9bfe10a4 unverified Apache-2.0 (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections