Home › Code › get_query

get_query

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

get_query appears in the code Syntology harvested for 19 papers, as 12 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 14 of the papers; 2 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_query 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 12 distinct code bodies named get_query; 7 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
1ran · fixture could not drive it
1ran
7unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 22 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

19 papers shown of 19, newest first; 22 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 4 papers added by Syntology; 3 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
From Conflict to Consensus: Boosting Medical Reasoning via Multi-Round Agentic RAG added by Syntology 2026-03 (from id) NJU-RL/MA-RAG/utils.py 4c0aed1d15d52f57 unverified no licence file found · pointer only
EMA Policy Gradient: Taming Reinforcement Learning for LLMs with EMA Anchor and Top-k KL added by Syntology 2026-02 (from id) LunjunZhang/ema-pg/search/infer.py 8709b4b7236b87d7 ran · our draft was wrong fingerprinted MIT (permissive)
Language-Coupled Reinforcement Learning for Multilingual Retrieval-Augmented Generation added by Syntology 2026-01 (from id) Cherry-qwq/LcRL-Open/infer.py 8709b4b7236b87d7 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs added by Syntology 2025-10 (from id) mlvlab/PRESTO/Induction/automatic_prompt_engineer/generate.py 71e7c70faf29eeee ran · our draft was wrong MIT (permissive)
PRESTO: Preimage-Informed Instruction Optimization for Prompting Black-Box LLMs added by Syntology 2025-10 (from id) mlvlab/PRESTO/Induction/experiments/evaluation/instruction_induction/exec_accuracy.py 9475219c55847f4d unverified MIT (permissive)
arXiv:2507.11275 2025-07 (from id) JadeXie1205/FMC/autoformalization_pipeline/nli.py 09b53e19654743bd unverified Apache-2.0 (permissive)
arXiv:2507.11275 2025-07 (from id) JadeXie1205/FMC/autoformalization_pipeline/translate.py 4ca3cf4c670997b9 unverified Apache-2.0 (permissive)
Router-R1: Teaching LLMs Multi-Round Routing and Aggregation via Reinforcement Learning 10 Jun 2025 ulab-uiuc/Router-R1/infer_vllm.py 96a56033ae39159f ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents 21 May 2025 identical code first harvested elsewhere 8709b4b7236b87d7 ran · our draft was wrong fingerprinted licence of this copy not recorded
Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent 12 May 2025 hzy312/knowledge-r1/infer.py 8709b4b7236b87d7 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
ZeroSearch: Incentivize the Search Capability of LLMs without Searching 7 May 2025 alibaba-nlp/zerosearch/inference.py 8709b4b7236b87d7 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning 12 Mar 2025 identical code first harvested elsewhere 8709b4b7236b87d7 ran · our draft was wrong fingerprinted licence of this copy not recorded
Prompt Optimization with Human Feedback 27 May 2024 xqlin98/apohf/Induction/automatic_prompt_engineer/generate.py 71e7c70faf29eeee ran · our draft was wrong MIT (permissive)
Prompt Optimization with Human Feedback 27 May 2024 xqlin98/apohf/Induction/experiments/evaluation/instruction_induction/exec_accuracy.py 9475219c55847f4d unverified MIT (permissive)
NegativePrompt: Leveraging Psychology for Large Language Models Enhancement via Negative Emotional Stimuli 5 May 2024 wangxu0820/NegativePrompt/exec_accuracy.py d1cc7c58c450ad86 unverified no licence file found · pointer only
SemCity: Semantic Scene Generation with Triplane Diffusion 12 Mar 2024 zoomin-lee/semcity/dataset/kitti_dataset.py 9a009f7bfad56ea2 ran MIT (permissive)
Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers 2 Oct 2023 xqlin98/INSTINCT/COT/automatic_prompt_engineer/generate.py 71e7c70faf29eeee ran · our draft was wrong MIT (permissive)
InstructZero: Efficient Instruction Optimization for Black-Box Large Language Models 5 Jun 2023 lichang-chen/instructzero/InstructZero/experiments/automatic_prompt_engineer/generate.py 71e7c70faf29eeee ran · our draft was wrong no licence file found · pointer only
Bayesian Active Learning with Fully Bayesian Gaussian Processes 20 May 2022 coriis/active-learning-fbgp/utils/active_learning.py 3fbc8ed21ce1e422 ran · fixture could not drive it GPL-3.0 (copyleft) · pointer only
Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation 17 Jun 2021 xiaoyuxin1002/amortized-auto-tuning/code/util.py a17d6a46039e7358 unverified MIT (permissive)
arXiv:2025.emnlp-main.965 salmakh1/ACING/Induction/automatic_prompt_engineer/generate.py 71e7c70faf29eeee ran · our draft was wrong MIT (permissive)
arXiv:2024.findings-emnlp.927 hwy9855/GSR/src/preprocess/get_freebase_examples.py aa6b3768fa0972c3 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