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get_decoder

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

get_decoder appears in the code Syntology harvested for 13 papers, as 12 distinct code bodies found in 13 places (a place is one code body under one paper). At least one of them ran in 2 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 get_decoder 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 12 distinct code bodies named get_decoder; 10 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
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 13 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

13 papers shown of 13, newest first; 13 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
Acoustic Prompting via Stage-wise Modulation for Few-Shot Learning in Audio Language Models added by Syntology 2026-06 (from id) hyebin-c/aspl/pengi/models/decoder.py 360a191dd28ceec7 unverified MIT (permissive)
Mellow: a small audio language model for reasoning 11 Mar 2025 soham97/mellow/mellow/model/decoder.py 3a331962cec26f5b unverified MIT (permissive)
ADIFF: Explaining audio difference using natural language 6 Feb 2025 soham97/adiff/model/decoder.py c5b88745758acb28 unverified MIT (permissive)
Structured Generations: Using Hierarchical Clusters to guide Diffusion Models 8 Jul 2024 JoGo175/diffuse-treevae/models/model.py 9b121c3624f0e249 unverified no licence file found · pointer only
Strategies for Pretraining Neural Operators 12 Jun 2024 anthonyzhou-1/pretraining_pdes/loss/spatiotemporal_losses.py b98e86c5c3097f56 unverified MIT (permissive)
A Sparsity Principle for Partially Observable Causal Representation Learning 13 Mar 2024 danrux/sparsity-crl/Numerical/invertible_network_utils.py c2621183d830d73f ran MIT (permissive)
Pengi: An Audio Language Model for Audio Tasks 19 May 2023 microsoft/pengi/models/decoder.py 360a191dd28ceec7 unverified MIT (permissive)
ZLPR: A Novel Loss for Multi-label Classification 5 Aug 2022 whitepurple/HBM-loss-for-HTC/src/model/decoder.py d8ec073697b5fb3d unverified MIT (permissive)
Layout-Guided Novel View Synthesis from a Single Indoor Panorama 31 Mar 2021 facebookresearch/synsin/models/z_buffermodel.py 76ae72d346f91e29 unverified licence not identified · pointer only
Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention 18 Nov 2019 maja601/pytorch-psetae/models/decoder.py 0f8cc107e0a9e7dc unverified MIT (permissive)
Multi-mapping Image-to-Image Translation via Learning Disentanglement 17 Sep 2019 Xiaoming-Yu/DMIT/models/modules/network.py 871277dfaad89773 unverified MIT (permissive)
Deep Variational Reinforcement Learning for POMDPs 6 Jun 2018 maximilianigl/DVRL/code/encoder_decoder.py f9ea843ee6c0d21e unverified Apache-2.0 (permissive)
Neural Discrete Representation Learning 2 Nov 2017 explainingai-code/VQVAE-Pytorch/model/vqvae.py 32ad87238c5e79f6 ran · our draft was wrong no licence file found · pointer only

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".

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