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construct_optimizer

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

construct_optimizer appears in the code Syntology harvested for 16 papers, as 14 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 6 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 construct_optimizer 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 5 of the 14 distinct code bodies named construct_optimizer; 9 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
4ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 16 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

16 papers shown of 16, newest first; 16 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; 2 papers have no page here and are shown by arXiv id only. 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
UNIEGO: Proxies as Mediators for Unified Egocentric Video Representation Learning added by Syntology 2026-06 (from id) Wenhao-Chi/UNIEGO/timesformer/models/optimizer.py c0504d333a664585 ran licence not identified · pointer only
EPO: Hierarchical LLM Agents with Environment Preference Optimization 28 Aug 2024 kevinz8866/EPO/optimizers/optimizer.py fd9eba78d468ef8e unverified MIT (permissive)
Motion meets Attention: Video Motion Prompts 3 Jul 2024 q1xiangchen/vmps/timesformer/models/optimizer.py c0504d333a664585 ran MIT (permissive)
ReViT: Enhancing Vision Transformers Feature Diversity with Attention Residual Connections 17 Feb 2024 adiko1997/revit/model/optimizer.py 6e8d64ae2c5f0678 ran MIT (permissive)
Pixel-Wise Recognition for Holistic Surgical Scene Understanding 20 Jan 2024 bcv-uniandes/tapir/slowfast/models/optimizer.py d97bc90017599f32 ran MIT (permissive)
How Much Temporal Long-Term Context is Needed for Action Segmentation? 22 Aug 2023 ltcontext/ltcontext/ltc/model/optimizer.py a3c5c349ae92e32c ran licence not identified · pointer only
SMPConv: Self-moving Point Representations for Continuous Convolution 5 Apr 2023 sangnekim/SMPConv/smp/optim.py 2733824f9727be2c unverified MIT (permissive)
Reversible Vision Transformers 9 Feb 2023 facebookresearch/mvit/mvit/models/optimizer.py 8e7aad946e7f3346 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition 26 May 2022 ShoufaChen/AdaptFormer/main_video.py 6312c5102246daed ran · our draft was wrong MIT (permissive)
Adaptive Token Sampling For Efficient Vision Transformers 30 Nov 2021 adaptivetokensampling/ATS/libs/models/optimizer.py 5c977fb3d083dfdc unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
MaCLR: Motion-aware Contrastive Learning of Representations for Videos 17 Jun 2021 amazon-science/self-supervised-maclr/slowfast/models/optimizer.py 06282ee2b8b703dc unverified Apache-2.0 (permissive)
ST-HOI: A Spatial-Temporal Baseline for Human-Object Interaction Detection in Videos 25 May 2021 coldmanck/VidHOI/slowfast/models/optimizer.py 75c62c582a31b362 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Towards Robust and Reproducible Active Learning Using Neural Networks 21 Feb 2020 acl21/deep-active-learning-pytorch/pycls/core/optimizer.py 08ca33c7fa25c77b unverified MIT (permissive)
SlowFast Networks for Video Recognition 10 Dec 2018 tonysy/PyAction/pyaction/models/optimizer.py 75c62c582a31b362 unverified Apache-2.0 (permissive)
arXiv:2024.findings-acl.85 SaeedNajafi/RIFF/src/reference_implementations/prompt_zoo/prompt_optimizers.py 27fc72685c0e3a1d unverified MIT (permissive)
arXiv:136950068 wangjk666/STTS/MViT/slowfast/models/optimizer.py 8c7fab96309b23de unverified MIT (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".

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