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read_yaml

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

read_yaml appears in the code Syntology harvested for 26 papers, as 26 distinct code bodies found in 27 places (a place is one code body under one paper). At least one of them ran in 8 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 read_yaml 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 8 of the 26 distinct code bodies named read_yaml; 18 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
5ran
18unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 27 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

26 papers shown of 26, newest first; 27 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
Skill-RM: Unifying Heterogeneous Evaluation Criteria via Agent Skill added by Syntology 2026-06 (from id) Qwen-Applications/Skill-RM/integrations/verl/recipe/skill_rm_if_pointwise/utils.py fed3a4d4bd5bbf6c ran Apache-2.0 (permissive)
Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries added by Syntology 2026-04 (from id) NatLabRockies/BatFIT/batfit/basicutilityc/ReadInput.py 7a67c8ad55771005 unverified BSD-3-Clause (permissive)
arXiv:2507.20291 2025-07 (from id) Joyies/TVT/TVT/modelfile/TVTModel.py 4fb85a5d5907d6dd unverified no licence file found · pointer only
Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human? 13 Feb 2025 gotutiyan/gec-metrics/src/gec_metrics/cli/evaluate.py c0ea064baf23c3b8 unverified MIT (permissive)
AntiLeak-Bench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge 18 Dec 2024 bobxwu/antileak-bench/utils/file_utils.py 7adbb30495f4e96b unverified no licence file found · pointer only
Pixel-level and Semantic-level Adjustable Super-resolution: A Dual-LoRA Approach 4 Dec 2024 csslc/pisa-sr/pisasr.py 4fb85a5d5907d6dd unverified no licence file found · pointer only
Navigating the Effect of Parametrization for Dimensionality Reduction 24 Nov 2024 hyhuang00/paramrepulsor/src/parampacmap/utils/utils.py d754f9bcf547ac51 unverified Apache-2.0 (permissive)
SetLexSem Challenge: Using Set Operations to Evaluate the Lexical and Semantic Robustness of Language Models 11 Nov 2024 amazon-science/setlexsem-challenge/setlexsem/utils.py 493412c498a81a41 unverified Apache-2.0 (permissive)
LLM$\times$MapReduce: Simplified Long-Sequence Processing using Large Language Models 12 Oct 2024 thunlp/llmxmapreduce/LLMxMapReduce_V1/utils.py 1abacef616cf1510 ran Apache-2.0 (permissive)
AgentMonitor: A Plug-and-Play Framework for Predictive and Secure Multi-Agent Systems 27 Aug 2024 chanchimin/agentmonitor/examples/metagpt_examples/example_metagpt_codetest_base.py 37c51b635d484c9b ran · our draft was wrong no licence file found · pointer only
Make It Count: Text-to-Image Generation with an Accurate Number of Objects 14 Jun 2024 litalby1/make-it-count/pipeline/run_countgen.py 7d45026b475c7c59 ran · our draft was wrong no licence file found · pointer only
MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series 29 May 2024 multimodal-art-projection/map-neo/Matrix/document-convert/utils.py 9918c2d9ae4702f9 unverified no licence file found · pointer only
Editable Scene Simulation for Autonomous Driving via Collaborative LLM-Agents 8 Feb 2024 yifanlu0227/ChatSim/chatsim/agents/utils.py 2f7a45ac7953e329 ran no licence file found · pointer only
Large Pre-trained time series models for cross-domain Time series analysis tasks 19 Nov 2023 adityalab/samay/src/samay/utils.py cba288293510660e ran Apache-2.0 (permissive)
HowToCaption: Prompting LLMs to Transform Video Annotations at Scale 7 Oct 2023 ninatu/howtocaption/howtocaption/llm_prompting/prompt_vicuna.py 78e7245cb7f192f5 ran licence not identified · pointer only
INT2.1: Towards Fine-Tunable Quantized Large Language Models with Error Correction through Low-Rank Adaptation 13 Jun 2023 stochasticai/xturing/src/xturing/config/read_config.py f300446152b56454 unverified Apache-2.0 (permissive)
Information-Restricted Neural Language Models Reveal Different Brain Regions' Sensitivity to Semantics, Syntax and Context 28 Feb 2023 alexandrepsq/information-restrited-nlms/src/irnlm/utils.py d726b894b0f1b9c8 unverified Apache-2.0 (permissive)
A Machine with Short-Term, Episodic, and Semantic Memory Systems 5 Dec 2022 humemai/agent-room-env-v1/agent/utils.py a6496700c0e2a21b unverified MIT (permissive)
Subgroup Robustness Grows On Trees: An Empirical Baseline Investigation 23 Nov 2022 jpgard/subgroup-robustness-grows-on-trees/src/config.py e2a813e0edc8a53f ran · our draft was wrong no licence file found · pointer only
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers 25 Oct 2022 jw4hv/Geo-SIC/Run_Atlas_trainer.py a00707fbd531933c unverified MIT (permissive)
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers 25 Oct 2022 jw4hv/Geo-SIC/Run_trainer.py b2da2e2efd44e82b unverified MIT (permissive)
Falsification before Extrapolation in Causal Effect Estimation 27 Sep 2022 clinicalml/rct-obs-extrapolation/experiments/util.py ce3a242febe58da7 unverified MIT (permissive)
When does Bias Transfer in Transfer Learning? 6 Jul 2022 MadryLab/bias-transfer/src/config_parse_utils.py d7853049a9701459 unverified MIT (permissive)
Probabilistic Embeddings Revisited 14 Feb 2022 tinkoff-ai/probabilistic-embeddings/src/probabilistic_embeddings/io.py 40a5d8f82fdfac5c unverified Apache-2.0 (permissive)
What's in the Box? A Preliminary Analysis of Undesirable Content in the Common Crawl Corpus 6 May 2021 josephdviviano/whatsinthebox/witb/utils/ioutils.py fea3aa5fb762a346 unverified MIT (permissive)
mT5: A massively multilingual pre-trained text-to-text transformer 22 Oct 2020 KoshiroSato/Flask_NLP_App/flask/flaskapp/lib/utils.py c9737e28fdfdcfe9 unverified MIT (permissive)
Unconditional Audio Generation with Generative Adversarial Networks and Cycle Regularization 18 May 2020 ciaua/unagan/generate.py 44d610b5c1bfa19d 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".

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