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get_pred

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

get_pred appears in the code Syntology harvested for 20 papers, as 20 distinct code bodies found in 21 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 get_pred 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 get_pred; 12 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
5ran
12unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 21 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

20 papers shown of 20, newest first; 21 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; 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
CASK: Core-Aware Selective KV Compression for Reasoning Traces added by Syntology 2026-04 (from id) THUDM/LongBench/LongBench/retrieval/pred.py 7de062709da87b4f unverified MIT (permissive)
Domain-Skewed Federated Learning with Feature Decoupling and Calibration added by Syntology 2026-03 (from id) mala-lab/F2DC/models/f2dc.py bf281d515e42470d unverified Apache-2.0 (permissive)
Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target Atoms 23 May 2025 zjunlp/steer-target-atoms/dataloader.py 4e409608d73ba8ed unverified MIT (permissive)
A Controlled Study on Long Context Extension and Generalization in LLMs 18 Sep 2024 leooyii/lceg/longbench/pred.py ac5698be4313ef23 unverified no licence file found · pointer only
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals 27 Aug 2024 935963004/neurolm/train_instruction.py c26a6321cdb66be7 ran MIT (permissive)
Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness 12 Jul 2024 lauch1ng/lkrobust/adversarial_attack/utils.py 317cf3d87d623d14 ran Apache-2.0 (permissive)
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? 5 Jul 2024 MJ-Bench/MJ-Bench/experimental/ddpo_finetune_with_vlm.py 17ad7536db5b4682 ran MIT (permissive)
ZeroPur: Succinct Training-Free Adversarial Purification 5 Jun 2024 erhul/ZeroPur/utils.py 5105d577deca7c37 ran no licence file found · pointer only
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model 7 May 2024 shadowpa0327/Palu/run_long_bench.py 87b9a0c596eea7a8 unverified MIT (permissive)
Teaching Large Language Models an Unseen Language on the Fly 29 Feb 2024 luciusssss/zhuangbench/src/model.py c70a55ce586ba43d unverified MIT (permissive)
KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache 5 Feb 2024 jy-yuan/kivi/pred_long_bench.py 1b63810f36de324d unverified MIT (permissive)
Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training 15 Nov 2023 hejunqing/never-lost-in-the-middle/LongBench/src/baichuan_pred_shuffle.py 9ac0485160d687f7 ran MIT (permissive)
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks 8 Apr 2023 modar7/the_fairness_stitch/src/utils.py c691b280c17d59c0 unverified MIT (permissive)
ChatCAD: Interactive Computer-Aided Diagnosis on Medical Image using Large Language Models 14 Feb 2023 zhaozh10/ChatCAD/cxr/diagnosis.py f0d6025716c6e55a ran · our draft was wrong Apache-2.0 (permissive)
Detecting Shortcuts in Medical Images -- A Case Study in Chest X-rays 8 Nov 2022 ameliajimenez/shortcuts-chest-xray/bin/test_model.py a925c89a990e4ad6 ran · our draft was wrong no licence file found · pointer only
Boundary-Aware Uncertainty for Feature Attribution Explainers 5 Oct 2022 davinhill/gpec/GPEC/GP.py 86bab81e90151905 unverified MIT (permissive)
Understanding Iterative Revision from Human-Written Text 8 Mar 2022 vipulraheja/iterater/code/IteraTeR_ACL2022/model/generation/bart_inference_and_metrics.py 08582d047537b71e unverified Apache-2.0 (permissive)
Understanding Iterative Revision from Human-Written Text 8 Mar 2022 vipulraheja/iterater/code/IteraTeR_ACL2022/model/generation/pegasus_inference_and_metrics.py d683a5a86dabd653 unverified Apache-2.0 (permissive)
On the Sentence Embeddings from Pre-trained Language Models 2 Nov 2020 bohanli/BERT-flow/scripts/eval_stsb.py 3b6418910c030c74 ran · honoured contract Apache-2.0 (permissive)
arXiv:2025.findings-acl.433 haon-chen/mmE5/evaluation/eval_utils.py 1a5d849f73e20d05 unverified MIT (permissive)
arXiv:2025.emnlp-main.1179 csdq777/Lotus/X/model.py c70a55ce586ba43d 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