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call_gpt

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

call_gpt appears in the code Syntology harvested for 17 papers, as 17 distinct code bodies found in 19 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 call_gpt 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 17 distinct code bodies named call_gpt; 13 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
13unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 19 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; 19 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
Implicit Geographic Inference in LLM Medical Triage: Language-Driven Disparities in Emergency Recommendations added by Syntology 2026-06 (from id) wongqihan/ai-behavioral-experiments/gender-age-triage/run_multimodel.py e3d170768035e5fe unverified MIT (permissive)
Sci-Reasoning: A Dataset Decoding AI Innovation Patterns added by Syntology 2026-01 (from id) AmberLJC/Sci-Reasoning/thinking_patterns_llm_analysis/code/pattern_analyzer.py 5206dc3f5d475fe4 unverified MIT (permissive)
Skywork-R1V3 Technical Report 8 Jul 2025 identical code first harvested elsewhere 0a19144295a700b0 ran · our draft was wrong licence of this copy not recorded
AgentSynth: Scalable Task Generation for Generalist Computer-Use Agents 17 Jun 2025 sunblaze-ucb/agentsynth/agentsynth/utils.py f8c9174688291d66 unverified Apache-2.0 (permissive)
OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation 26 May 2025 PKU-YuanGroup/OpenS2V-Nexus/data_process/step4-1_get_tag_api.py b9566bb371805bec unverified Apache-2.0 (permissive)
Skywork R1V2: Multimodal Hybrid Reinforcement Learning for Reasoning 23 Apr 2025 identical code first harvested elsewhere 0a19144295a700b0 ran · our draft was wrong licence of this copy not recorded
Skywork R1V: Pioneering Multimodal Reasoning with Chain-of-Thought 8 Apr 2025 SkyworkAI/Skywork-R1V/eval/EMMA/evaluation/evaluate.py 0a19144295a700b0 ran · our draft was wrong MIT (permissive)
SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents 17 Dec 2024 shengyin1224/safeagentbench/evaluator/abstract_evaluate.py 004ef77a803ae087 unverified no licence file found · pointer only
SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents 17 Dec 2024 shengyin1224/safeagentbench/evaluator/detail_evaluate.py 2f61c26743e5287d unverified no licence file found · pointer only
SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents 17 Dec 2024 shengyin1224/safeagentbench/evaluator/long_horizon_evaluate.py cf64676d260a87c6 unverified no licence file found · pointer only
Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent 5 Nov 2024 alibaba-nlp/omnisearch/src/Omnisearch_gpt/llm_config.py a8a9cae0a25d828f unverified no licence file found · pointer only
Toward General Instruction-Following Alignment for Retrieval-Augmented Generation 12 Oct 2024 dongguanting/FollowRAG/FollowRAG/utils/call_llm.py 30de2ad5d6678c9d unverified no licence file found · pointer only
Can Large Language Models Grasp Legal Theories? Enhance Legal Reasoning with Insights from Multi-Agent Collaboration 3 Oct 2024 yuanwk99/malr/MALR/utils/model.py 5f4ee4fcaeb3d795 unverified no licence file found · pointer only
JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images 19 Sep 2024 journeybench/journeybench/automatic-qa-generator/chat/call_gpt.py b989da394071b3df ran licence not identified · pointer only
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation 9 Jul 2024 chentong0/copy-bench/src/utils/openai_lm.py 87aa8dba7017b976 ran no licence file found · pointer only
Towards LLM-based Fact Verification on News Claims with a Hierarchical Step-by-Step Prompting Method 30 Sep 2023 jadecurl/hiss/HiSS.py 2a1c9ffdc3710e45 ran no licence file found · pointer only
Re-Reading Improves Reasoning in Large Language Models 12 Sep 2023 tebmer/rereading-llm-reasoning/pal/core/backend.py d2417be2799a98fe unverified Apache-2.0 (permissive)
Answering Questions by Meta-Reasoning over Multiple Chains of Thought 25 Apr 2023 oriyor/reasoning-on-cots/src/opeanai/utils.py 63cfc8eb0c95d0dc unverified MIT (permissive)
arXiv:2024.acl-long.438 Hengrui-Gu/PokeMQA/PokeMQA-turbo_n_edited.py e02b14c5a6ec4bc5 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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