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load_prompt

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

load_prompt appears in the code Syntology harvested for 25 papers, as 24 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 12 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 load_prompt 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 12 of the 24 distinct code bodies named load_prompt; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
5ran · our draft was wrong
0ran · fixture could not drive it
7ran
12unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 17 of the 25 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

25 papers shown of 25, newest first; 25 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 13 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
AI Persuasion as a Threat to Human Control added by Syntology 2026-09 (from id) AlignmentResearch/puc/prompts/loader.py 45c510e0b8adafbc unverified no licence file found · pointer only
Does Playing it Safe Count as Faithfulness? Reassessing LVLM Hallucination Mitigation Methods added by Syntology 2026-09 (from id) mehrdadfazli/AssessHalVLM/methods/after/utils.py 0d53582061af2e49 unverified no licence file found · pointer only
HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs added by Syntology 2026-07 (from id) pengr/HSS-Synth/code/baseline/syn_method/LongForm.py 53c6e2a7675a4a40 ran no licence file found · pointer only
Adapting Reinforcement Learning with Chain-of-Thought Supervision for Explainable Detection of Hateful and Propagandistic Memes added by Syntology 2026-06 (from id) MohamedBayan/MemeReason/data_prep/prepare_training_data.py f291f6bb0f74ccc4 ran no licence file found · pointer only
Cosmos 3: Omnimodal World Models for Physical AI NVIDIA added by Syntology 2026-06 (from id) nvidia/cosmos/evaluation/cosmos3/generator/unigenbench/ugb_scorer.py 231096399f905d44 ran licence not identified · pointer only
LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metrics added by Syntology 2026-05 (from id) glhr/RAB-Cred/llm_annotation/llm_utils.py 8e9614852bb8afd7 unverified no licence file found · pointer only
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling added by Syntology 2026-05 (from id) zhengkid/AutoTTS/efficient_reasoning_controller/workspace/controller_search/claude_proposer.py c66918620c0773fb ran no licence file found · pointer only
Do LLMs Game Formalization? Evaluating Faithfulness in Logical Reasoning added by Syntology 2026-04 (from id) koreankiwi99/formalization-gaming/src/utils/prompts.py 872d7c12ef1aca3f unverified MIT (permissive)
UNIFERENCE: A Discrete Event Simulation Framework for Developing Distributed AI Models added by Syntology 2026-03 (from id) Dogacel/Uniference/benchmarks/commons.py f2c1a078e541b975 unverified licence not identified · pointer only
Multimodal Fact-Level Attribution for Verifiable Reasoning added by Syntology 2026-02 (from id) meetdavidwan/murgat/src/program_utils.py f8d44f2e394301ff unverified MIT (permissive)
Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models added by Syntology 2026-01 (from id) loyiv/ITP/itp/orchestrator.py 21523634b7dd82f6 ran · our draft was wrong MIT (permissive)
Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction added by Syntology 2026-01 (from id) holi-lab/ReCAP/recap/profiler/profiler.py 40709e284e08c1e1 ran · our draft was wrong licence not identified · pointer only
Teaching Language Models to Reason with Tools added by Syntology 2025-10 (from id) ChengpengLi1003/CoRT/infer/utils.py 3bb02b5083de68fd unverified no licence file found · pointer only
arXiv:2503.05188 2025-03 (from id) BugMakerzzz/CRISP/crisp_reason.py caa4cec487be6f06 ran · our draft was wrong no licence file found · pointer only
XRAG: eXamining the Core -- Benchmarking Foundational Components in Advanced Retrieval-Augmented Generation 20 Dec 2024 docailab/xrag/src/xrag/adaptive_rag/utils.py 71f8c85c5d4c825c unverified Apache-2.0 (permissive)
Golden Noise for Diffusion Models: A Learning Framework 14 Nov 2024 xie-lab-ml/golden-noise-for-diffusion-models/training/dataset_collection.py 94040482358d6999 unverified Apache-2.0 (permissive)
ComPeer: A Generative Conversational Agent for Proactive Peer Support 2024-07 (from id) liutj9/compeer/src/tools.py f3f8f7c9479f15e7 ran no licence file found · pointer only
How Likely Do LLMs with CoT Mimic Human Reasoning? 25 Feb 2024 stevenzhb/cot_causal_analysis/scripts/api_run.py 7c56d76aa689e7f0 ran · our draft was wrong no licence file found · pointer only
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models 19 Feb 2024 Jometeorie/MultiHopShortcuts/code/data_utils.py f1273794d66182e4 ran GPL-3.0 (copyleft) · pointer only
How Far Are LLMs from Believable AI? A Benchmark for Evaluating the Believability of Human Behavior Simulation 28 Dec 2023 llmconference/emnlp_conference_2024/benchmark/benchmark_file_util.py 099db8c2586d17b9 unverified no licence file found · pointer only
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving 29 Sep 2023 microsoft/tora/src/utils/utils.py 3bb02b5083de68fd unverified MIT (permissive)
Decision-Oriented Dialogue for Human-AI Collaboration 31 May 2023 jlin816/dialop/dialop/play_gpt3.py 7e94d97091b55364 unverified licence not identified · pointer only
CRITIC: Large Language Models Can Self-Correct with Tool-Interactive Critiquing 19 May 2023 microsoft/ProphetNet/CRITIC/src/program/critic.py d9d6df1c6dfcbd38 ran MIT (permissive)
ReAct: Synergizing Reasoning and Acting in Language Models 6 Oct 2022 liyuan24/nanodeepresearch/agent/react_agent.py cb56e34b15e5e739 unverified no licence file found · pointer only
Prompting as Probing: Using Language Models for Knowledge Base Construction 23 Aug 2022 hemile/iswc-challenge/gpt3_baseline.py bc5c5e8713300ce5 ran · our draft was wrong 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