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create_scheduler

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

create_scheduler appears in the code Syntology harvested for 17 papers, as 11 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 5 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 create_scheduler 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 1 of the 11 distinct code bodies named create_scheduler; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · 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: 4 of the 17 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

17 papers shown of 17, newest first; 17 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 2 papers added by Syntology; 1 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
Decoupled Reasoning with Implicit Fact Tokens (DRIFT): A Dual-Model Framework for Efficient Long-Context Inference added by Syntology 2026-02 (from id) Lancelot-Xie/DRIFT/src/drift/training/trainer.py ff105ae48c2c98a2 unverified no licence file found · pointer only
Towards Self-Supervised Foundation Models for Critical Care Time Series added by Syntology 2025-09 (from id) rvandewater/YAIB/icu_benchmarks/models/utils.py 270211d5760b3ffc unverified MIT (permissive)
Beyond Reward Hacking: Causal Rewards for Large Language Model Alignment 16 Jan 2025 tatsu-lab/alpaca_farm/src/alpaca_farm/trainer_utils.py 42596ac916e883a5 ran Apache-2.0 (permissive)
Prototypical Hash Encoding for On-the-Fly Fine-Grained Category Discovery 24 Oct 2024 HaiyangZheng/PHE/utils/create_scheduler.py 0bf982f15505a3f0 unverified no licence file found · pointer only
MambaVision: A Hybrid Mamba-Transformer Vision Backbone 10 Jul 2024 nvlabs/mambavision/mambavision/scheduler/scheduler_factory.py 849e053052794bfb unverified licence not identified · pointer only
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model 17 Jun 2024 echosechen/spa-vl-rlhf/all_utils/trainer_utils.py 42596ac916e883a5 ran MIT (permissive)
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO 17 Jun 2024 yonseivnl/vlm-rlaif/RLAIF/models/trainer_utils.py 42596ac916e883a5 ran Apache-2.0 (permissive)
SALMON: Self-Alignment with Instructable Reward Models 9 Oct 2023 ibm/salmon/training/models/trainer_utils.py 42596ac916e883a5 ran GPL-3.0 (copyleft) · pointer only
Exploring the impact of low-rank adaptation on the performance, efficiency, and regularization of RLHF 16 Sep 2023 simengsun/alpaca_farm_lora/alpaca_farm/src/alpaca_farm/trainer_utils.py 42596ac916e883a5 ran Apache-2.0 (permissive)
RL4CO: an Extensive Reinforcement Learning for Combinatorial Optimization Benchmark 29 Jun 2023 ai4co/rl4co/rl4co/utils/optim_helpers.py e57fec3fed7f7ac3 unverified MIT (permissive)
Yet Another ICU Benchmark: A Flexible Multi-Center Framework for Clinical ML 8 Jun 2023 rvandewater/yaib/icu_benchmarks/models/utils.py 270211d5760b3ffc unverified MIT (permissive)
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark 5 Jun 2023 Shuyu-XJTU/APTM/scheduler.py 37c7bac7616d388a unverified MIT (permissive)
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active Learning 13 Oct 2022 dsba-lab/openal/query_strategies/mqnet.py 0a3075a2962b3ed1 unverified MIT (permissive)
Pruning Self-attentions into Convolutional Layers in Single Path 23 Nov 2021 zhuang-group/spvit/SPViT_DeiT/utils.py d17e06164cf90aa8 unverified Apache-2.0 (permissive)
Evaluation of Appearance-Based Methods and Implications for Gaze-Based Applications 2019-01 (from id) hysts/pytorch_mpiigaze/gaze_estimation/scheduler.py 49ebf3e14f6f3510 unverified MIT (permissive)
Attention-based Context Aggregation Network for Monocular Depth Estimation 29 Jan 2019 miraiaroha/ACAN/code/creator/scheduler.py c60cc48bb993e02b unverified MIT (permissive)
arXiv:Yang_Beyond_Walking_A_Large-Scale_Image-Text_Benchmark_for_Text-based_Person_Anomaly_ICCV_2025_paper Shuyu-XJTU/CMP/scheduler.py 37c7bac7616d388a 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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