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get_results

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

get_results appears in the code Syntology harvested for 29 papers, as 29 distinct code bodies found in 30 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 3 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_results 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 9 of the 29 distinct code bodies named get_results; 20 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
2ran · fixture could not drive it
5ran
20unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 9 of the 30 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

29 papers shown of 29, newest first; 30 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; 3 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
Cutting LLM Evaluation Costs with SySRs : A Bandit Algorithm that Provably Exploits Model Similarity added by Syntology 2026-06 (from id) zifanlyu/llm-bandits-sysrs/bai_algs.py edc7bce93659e21c unverified no licence file found · pointer only
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning added by Syntology 2026-02 (from id) Xiaoyu-Tao/MemCast-TS/main/EPF/EPF_main_few_shot_reasoning.py 0df49cdedfd78b55 ran · honoured contract fingerprinted no licence file found · pointer only
Scanning Trojaned Models Using Out-of-Distribution Samples 28 Jan 2025 rohban-lab/trodo/src/evaluate.py 6cf451e2ce941877 ran · fixture could not drive it fingerprinted no licence file found · pointer only
Benchmarking Distributional Alignment of Large Language Models 8 Nov 2024 nicolemeister/benchmarking-distributional-alignment/utils.py 614775cfc34dfab7 unverified no licence file found · pointer only
Native Design Bias: Studying the Impact of English Nativeness on Language Model Performance 25 Jun 2024 manon-reusens/native_en_bias/get_final_results.py c37774c0609de83a unverified no licence file found · pointer only
It Takes Two: On the Seamlessness between Reward and Policy Model in RLHF 12 Jun 2024 taiminglu/seamless/code/retrival/adv/retrival.py 48fc27d8ef2d0595 ran no licence file found · pointer only
ExMap: Leveraging Explainability Heatmaps for Unsupervised Group Robustness to Spurious Correlations 20 Mar 2024 rwchakra/exmap/src/utils/common_utils.py a36a0ef6f7969176 ran no licence file found · pointer only
In-Context Language Learning: Architectures and Algorithms 23 Jan 2024 berlino/seq_icl/samestateprobe.py e4d688cc5cf62263 unverified Apache-2.0 (permissive)
Expanding Hardware-Efficiently Manipulable Hilbert Space via Hamiltonian Embedding 2024-01 (from id) jiaqileng/hamiltonian-embedding/src/experiments/ionq_circuit_utils.py 840218e9d4dcf4ac unverified MIT (permissive)
Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime 13 Nov 2023 Thinklab-SJTU/PredictiveCO-Benchmark/rethink_exp/collect_results.py 411c0a5ba07cc36a ran MIT (permissive)
Distributionally Robust Post-hoc Classifiers under Prior Shifts 16 Sep 2023 weijiaheng/Drops/utils.py 58b9298579ed4235 ran no licence file found · pointer only
SOAR: Scene-debiasing Open-set Action Recognition 3 Sep 2023 yhZhai/SOAR/experiments/analyze_recon_uncertainty.py 8dd75826e2ff1516 unverified Apache-2.0 (permissive)
Set Learning for Accurate and Calibrated Models 5 Jul 2023 lukasmut/oko/visualize_results.py 63f61a0824532ff2 ran fingerprinted MIT (permissive)
arXiv:2305.06648 2023-05 (from id) PierreMarion23/generalization-ode-resnets/training.py bd88f63e3839d840 unverified MIT (permissive)
MEGA: Multilingual Evaluation of Generative AI 22 Mar 2023 microsoft/Multilingual-Evaluation-of-Generative-AI-MEGA/mega/compile_results.py 49be2dc7b5784968 unverified MIT (permissive)
MEGA: Multilingual Evaluation of Generative AI 22 Mar 2023 microsoft/Multilingual-Evaluation-of-Generative-AI-MEGA/mega/compile_tag_results.py 30ae16d06e2fb775 unverified MIT (permissive)
Partial Identification of Treatment Effects with Implicit Generative Models 14 Oct 2022 rgklab/partial_identification/experiments/utils.py fc71397370d55084 unverified MIT (permissive)
Scaling ResNets in the Large-depth Regime 14 Jun 2022 pierremarion23/scaling-resnets/training.py d7d3afe051d48031 unverified MIT (permissive)
What Information is Necessary and Sufficient to Predict Materials Properties using Machine Learning? 2022-06 (from id) pv-lab/compstruct/main_crabnet.py d135d244ca6ac10f unverified MIT (permissive)
Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations 6 Apr 2022 PolinaKirichenko/deep_feature_reweighting/utils.py 58b9298579ed4235 ran BSD-2-Clause (permissive)
Data Contamination: From Memorization to Exploitation 15 Mar 2022 schwartz-lab-nlp/data_contamination/finetune/results_parser.py 4ab877fc46921000 unverified Apache-2.0 (permissive)
Natural Attack for Pre-trained Models of Code 2022-01 (from id) soarsmu/attack-pretrain-models-of-code/GraphCodeBERT/Authorship-Attribution/code/attack.py f8e1aa1adadf89a0 unverified MIT (permissive)
Putting People in their Place: Monocular Regression of 3D People in Depth 15 Dec 2021 Arthur151/Relative_Human/RH_evaluation/evaluation.py bad47202c970ebbf ran · fixture could not drive it no licence file found · pointer only
Adversarial Unlearning of Backdoors via Implicit Hypergradient 7 Oct 2021 YiZeng623/I-BAU/defense.py a9db05478110e6da ran · honoured contract MIT (permissive)
Evidential Turing Processes 2 Jun 2021 ituvisionlab/EvidentialCalibration/utils.py 5f5462e36c39a5aa unverified MIT (permissive)
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation 26 Nov 2019 junjie1003/DL-Fairness-Study/helper.py cc8d2d0c85a28685 unverified Apache-2.0 (permissive)
Out-of-Domain Detection for Low-Resource Text Classification Tasks 31 Aug 2019 SLAD-ml/few-shot-ood/src/utils.py d3ebec56ea182bca unverified MIT (permissive)
Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming 17 Jul 2019 bethgelab/robust-detection-benchmark/data-analysis/robustness_eval.py 736f6acb4c7f3097 unverified MIT (permissive)
arXiv:2024.findings-emnlp.253 WilliamZR/ProTrix/src/plan_then_reason.py 2d77048aca3e7684 unverified MIT (permissive)
arXiv:2023.acl-long.452 terarachang/DataICL/report_test_datamodels.py 451919270e7bef3f 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