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call_api

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

call_api appears in the code Syntology harvested for 21 papers, as 23 distinct code bodies found in 23 places (a place is one code body under one paper). At least one of them ran in 4 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 call_api 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 4 of the 23 distinct code bodies named call_api; 19 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
3ran
19unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 23 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

21 papers shown of 21, newest first; 23 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 7 papers added by Syntology; 5 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
Beyond Problem Solving: UOJ-Bench for Evaluating Code Generation, Hacking, and Repair in Competitive Programming added by Syntology 2026-06 (from id) hehezhou/UOJ-Bench/utils/call_llm.py 8528f7a7b192f827 ran no licence file found · pointer only
Beyond Recall: Behavioral Specification as an Interpretive Layer for AI Personalization added by Syntology 2026-05 (from id) agulaya24/beyond-recall/baselayer/src/baselayer/api_client.py 06140119a1e1371b unverified Apache-2.0 (permissive)
The Translation Tax Is Not a Scalar: A Counterfactual Audit of English-Source Cue Inheritance in Chinese Multilingual Benchmarks added by Syntology 2026-05 (from id) chi-mi-rvard/translation-tax-supplement/run_annotation_pilot.py 7eb110e190bea6e2 unverified licence not identified · pointer only
Omanic: Towards Step-wise Evaluation of Multi-hop Reasoning in Large Language Models added by Syntology 2026-03 (from id) XiaojieGu/Omanic/eval/open_eval.py daecce7b494c7457 unverified no licence file found · pointer only
Advances in LLM Reasoning Enable Flexibility in Clinical Problem-Solving added by Syntology 2026-01 (from id) bernardolab/mARC-Reasoning/evaluate_from_api.py d817db37ab3390f5 unverified Apache-2.0 (permissive)
Boundary-Aware NL2SQL: Integrating Reliability through Hybrid Reward and Data Synthesis added by Syntology 2026-01 (from id) TianSongS/BAR-SQL/model_test/trained_model_infer.py ef09c8678ddf2d2f unverified no licence file found · pointer only
Pun Unintended: LLMs and the Illusion of Humor Understanding added by Syntology 2025-09 (from id) alezanga/punintended/utils/api.py 4b837088d3c99a86 unverified no licence file found · pointer only
arXiv:2504.04907 2025-04 (from id) Video-Bench/Video-Bench/videobench/dynamicquality.py 4740acd70bea1016 unverified Apache-2.0 (permissive)
ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning 2 Apr 2025 UCSB-NLP-Chang/ThinkPrune/verl/evaluation/evalmath_main.py aaa4bac6dc85512a unverified Apache-2.0 (permissive)
SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents 5 Nov 2024 david-li0406/smoa/eval_ceb.py c4be2ee7c659a23f unverified no licence file found · pointer only
TurtleBench: Evaluating Top Language Models via Real-World Yes/No Puzzles 7 Oct 2024 mazzzystar/TurtleBench/models.py b6a420ef1adb8bef unverified Apache-2.0 (permissive)
HELMET: How to Evaluate Long-Context Language Models Effectively and Thoroughly 3 Oct 2024 princeton-nlp/helmet/model_utils.py 38db855956f81312 ran MIT (permissive)
Generative causal testing to bridge data-driven models and scientific theories in language neuroscience 1 Oct 2024 microsoft/automated-explanations/experiments/05_run_ngrams_gpt.py 91e9d8ef7d0f2766 unverified MIT (permissive)
MMLU-Pro+: Evaluating Higher-Order Reasoning and Shortcut Learning in LLMs 3 Sep 2024 asgsaeid/mmlu-pro-plus/evaluate_from_api.py e5a8f0fb32623146 unverified no licence file found · pointer only
How to Determine the Preferred Image Distribution of a Black-Box Vision-Language Model? 3 Sep 2024 asgsaeid/cad_vqa/cad_qa_eval_api.py 5f0ad3a3aab7add5 ran · our draft was wrong no licence file found · pointer only
Tailored Visions: Enhancing Text-to-Image Generation with Personalized Prompt Rewriting 12 Oct 2023 zzjchen/tailored-visions/apiuse.py 238b375eb1515ee4 ran no licence file found · pointer only
Benchmarking Large Language Models on CMExam -- A Comprehensive Chinese Medical Exam Dataset 5 Jun 2023 williamliujl/cmexam/src/evaluation/evaluate_gpt_result.py 7959c2beea6950cc unverified Apache-2.0 (permissive)
arXiv:Huang_OPERA_Alleviating_Hallucination_in_Multi-Modal_Large_Language_Models_via_Over-Trust_CVPR_2024_paper shikiw/OPERA/gpt4v_eval.py 8e4ee2c3bf99a3cf unverified MIT (permissive)
arXiv:2025.findings-emnlp.549 ZackZikaiXiao/LongWeave/core/serve/dlc.py 8842c94c17b3a581 unverified MIT (permissive)
arXiv:2025.findings-emnlp.549 ZackZikaiXiao/LongWeave/core/serve/dlc_r.py dae5ea6e381242b6 unverified MIT (permissive)
arXiv:2025.findings-emnlp.549 ZackZikaiXiao/LongWeave/core/serve/huggingface.py 293eca342addab1d unverified MIT (permissive)
arXiv:2025.emnlp-main.640 aszala/DiagrammerGPT/src/openai_handler.py 717c5b7dedd08579 unverified MIT (permissive)
arXiv:2024.findings-acl.848 CAS-SIAT-ConsistencyAI/NUMCoT/src/code/experience_first/common.py 98bce14cf93ff0d1 unverified CC0-1.0 (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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