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load_json_data

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

load_json_data appears in the code Syntology harvested for 16 papers, as 20 distinct code bodies found in 20 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 load_json_data 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 20 distinct code bodies named load_json_data; 12 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
7ran
12unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 20 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

16 papers shown of 16, newest first; 20 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; 2 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
FinSTaR: Towards Financial Reasoning with Time Series Reasoning Models added by Syntology 2026-05 (from id) seunghan96/FinSTaR/src/training/data_utils.py c0c06b4bc4756314 ran licence not identified · pointer only
Benchmarking System Dynamics AI Assistants: Cloud Versus Local Large Language Models on CLD Extraction and Discussion added by Syntology 2026-04 (from id) UB-IAD/sd-ai/third-party/time-series-behavior-analysis/classify_behavior.py 48a884dfccfdcbd2 unverified MIT (permissive)
Polynomial Expansion Rank Adaptation: Enhancing Low-Rank Fine-Tuning with High-Order Interactions added by Syntology 2026-04 (from id) zhangwenhao6/PERA/dataset/dataset_hg.py 7a97754032b6353c unverified licence not identified · pointer only
Massive Editing for Large Language Models Based on Dynamic Weight Generation added by Syntology 2025-12 (from id) RodeWayne/MeG-for-Knowledge-Editing/merge_results.py 0c46563c5bb7d9e3 unverified no licence file found · pointer only
JUREX-4E: Juridical Expert-Annotated Four-Element Knowledge Base for Legal Reasoning 24 Feb 2025 THUlawtech/JUREX/SCD_experiment/preprocess_scd_data.py b08067637ffe4055 unverified MIT (permissive)
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation 11 Jun 2024 luli-git/MAP/utils.py b4926d98ff6bbaa3 ran no licence file found · pointer only
Flow of Reasoning:Training LLMs for Divergent Problem Solving with Minimal Examples 9 Jun 2024 Yu-Fangxu/FoR/1D-ARC/lightning_data.py 8f6dea1ad179b459 ran MIT (permissive)
EvoCodeBench: An Evolving Code Generation Benchmark Aligned with Real-World Code Repositories 31 Mar 2024 seketeam/evocodebench/utils.py dbc6dc84387eb165 ran Apache-2.0 (permissive)
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That? 11 Mar 2024 egozverev/Shold-It-Be-Executed-Or-Processed/SEP_dataset/utils.py c822a8f32726ba36 ran MIT (permissive)
Discerning and Resolving Knowledge Conflicts through Adaptive Decoding with Contextual Information-Entropy Constraint 19 Feb 2024 stacy027/coiecd/decoding.py 1e67969d221f571f ran · our draft was wrong no licence file found · pointer only
Escalation Risks from Language Models in Military and Diplomatic Decision-Making 7 Jan 2024 jprivera44/EscalAItion/charts/escalation_scores.py 1ee9268ca5491513 ran no licence file found · pointer only
AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval 3 Oct 2023 borealisai/autocast-plus-plus/autocast_experiments/data/process.py 6fb1488fa816f0cc unverified licence not identified · pointer only
Learning Vision-and-Language Navigation from YouTube Videos 22 Jul 2023 jeremylinky/youtube-vln/utils/dataset/common.py 6369d66e36fc6a2f ran MIT (permissive)
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit 8 Jun 2023 ruc-gsai/yulan-ir/RETA-LLM/indexer/index_pipeline.py 879f374a0414d8c3 unverified MIT (permissive)
arXiv:openreview_9DfcvXahRb xuwang0117/EIG-LLM-Eval/calculate_human_consistency.py 5984a4b574086826 unverified MIT (permissive)
arXiv:2025.findings-emnlp.1002 pranav-ust/glitter/prompting_experiments/contrastive_few_shot.py f2069b0ef21f9c86 unverified MIT (permissive)
arXiv:2025.findings-emnlp.1002 pranav-ust/glitter/prompting_experiments/cot.py 74344ed0f8e46ea2 unverified MIT (permissive)
arXiv:2025.findings-emnlp.1002 pranav-ust/glitter/prompting_experiments/few_shot.py 1977f9faaf31e6a3 unverified MIT (permissive)
arXiv:2025.findings-emnlp.1002 pranav-ust/glitter/prompting_experiments/iterative.py c10ab04862e48fa7 unverified MIT (permissive)
arXiv:2025.findings-emnlp.1002 pranav-ust/glitter/prompting_experiments/zero_shot.py cf7eb545fb24ea19 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