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precision

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

precision appears in the code Syntology harvested for 25 papers, as 24 distinct code bodies found in 28 places (a place is one code body under one paper). At least one of them ran in 11 of the papers; 1 of the code bodies carries 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 precision 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 24 distinct code bodies named precision; 16 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
7ran
16unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 28 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; 28 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 3 papers added by Syntology. 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
SC 2 -WM: A Self-Correcting World Model with Closed-Loop Feedback for Vision-and-Language Navigation in Continuous Environments added by Syntology 2026-08 (from id) sunrise-ikun/SC2_WM/utils_p/metrics.py 035dc40fdafe0275 ran MIT (permissive)
DeepMoLM: Leveraging Visual and Geometric Structural Information for Molecule-Text Modeling added by Syntology 2026-01 (from id) 1anj/DeepMoLM/llava/eval/eval_model_loc.py 17bd792b6162fc98 unverified Apache-2.0 (permissive)
Revisiting Adversarial Patch Defenses on Object Detectors: Unified Evaluation, Large-Scale Dataset, and New Insights added by Syntology 2025-08 (from id) Gandolfczjh/APDE/defense/SegmentAndComplete/dice_loss.py 0a217b21ea93d8c9 unverified no licence file found · pointer only
NavMorph: A Self-Evolving World Model for Vision-and-Language Navigation in Continuous Environments 30 Jun 2025 Feliciaxyao/NavMorph/utils_p/metrics.py 035dc40fdafe0275 ran no licence file found · pointer only
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation 27 Feb 2025 NJUNLP/njuqe/njuqe/utils.py 463dec4b9e606031 unverified MIT (permissive)
Alleviating Distribution Shift in Synthetic Data for Machine Translation Quality Estimation 27 Feb 2025 NJUNLP/njuqe/njuqe/criterions/qe_metric.py 758494073a00f760 unverified MIT (permissive)
APEX$^2$: Adaptive and Extreme Summarization for Personalized Knowledge Graphs 23 Dec 2024 iDEA-iSAIL-Lab-UIUC/APEX/code/src/metrics.py c610c9ba3b321e3d unverified MIT (permissive)
Hierarchical Uncertainty Estimation for Learning-based Registration in Neuroimaging 11 Oct 2024 HuXiaoling/Regre4Regis/metrics.py 035dc40fdafe0275 ran MIT (permissive)
Long Code Arena: a Set of Benchmarks for Long-Context Code Models 17 Jun 2024 jetbrains-research/lca-baselines/bug_localization/src/baselines/metrics/quality_metrics.py 2026474821ea5965 ran MIT (permissive)
Negative Label Guided OOD Detection with Pretrained Vision-Language Models 29 Mar 2024 tmlr-group/NegLabel/mmcls/core/evaluation/eval_metrics.py 8555810d566238b0 ran Apache-2.0 (permissive)
Efficient Causal Graph Discovery Using Large Language Models 2 Feb 2024 superkaiba/causal-llm-bfs/algs/llm/utils.py ab810b4b69cebe75 ran fingerprinted no licence file found · pointer only
Efficient Causal Graph Discovery Using Large Language Models 2 Feb 2024 superkaiba/causal-llm-bfs/metrics.py b1a73044ab13bc1a ran no licence file found · pointer only
Vivim: a Video Vision Mamba for Medical Video Segmentation 25 Jan 2024 scott-yjyang/vivim/misc2.py a0be218082173339 unverified licence not identified · pointer only
On Task Performance and Model Calibration with Supervised and Self-Ensembled In-Context Learning 21 Dec 2023 cambridgeltl/ensembled-sicl/utils/evaluator.py 73e30f54a5973543 ran no licence file found · pointer only
Robust Collaborative Filtering to Popularity Distribution Shift 16 Oct 2023 anzhang314/popgo/evaluator/backend/python/metric.py f0a0f53980ed3daf ran no licence file found · pointer only
UNETR++: Delving into Efficient and Accurate 3D Medical Image Segmentation 8 Dec 2022 amshaker/unetr_plus_plus/unetr_pp/evaluation/metrics.py 035dc40fdafe0275 ran Apache-2.0 (permissive)
Drug-Target Interaction Prediction with Graph Attention networks 10 Jul 2021 Haiyang-W/DTI-GRAPH/utils.py 4bede4f0f2850885 unverified MIT (permissive)
A Transformer-based Framework for Multivariate Time Series Representation Learning 6 Oct 2020 gzerveas/mvts_transformer/src/utils/analysis.py 839af27815f6fa38 unverified MIT (permissive)
BERTology Meets Biology: Interpreting Attention in Protein Language Models 26 Jun 2020 salesforce/provis/protein_attention/probing/metrics.py 5404d253452b6807 ran · fixture could not drive it licence not identified · pointer only
AxCell: Automatic Extraction of Results from Machine Learning Papers 29 Apr 2020 paperswithcode/axcell/axcell/helpers/evaluate.py 7fc6d3a39db0d9de unverified Apache-2.0 (permissive)
Deep Triplet Quantization 1 Feb 2019 thulab/DeepHash/DeepHash/evaluation/load_and_predict.py 9901bdfb8b1ece6a unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 haydlite/sparse-bert-ner/old_version/tf_metrics.py 46fcc6e1de355e47 unverified MIT (permissive)
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation 27 Sep 2018 justld/nnunet_paddle/nnunet_tools/metrics.py 035dc40fdafe0275 ran Apache-2.0 (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 lalonderodney/SegCaps/metrics.py 7f6b9d28c90431fb unverified Apache-2.0 (permissive)
Mask R-CNN 20 Mar 2017 AKASH2907/bird-species-classification/inception_resnet_v2_finetune.py b0079394b94f6c41 unverified MIT (permissive)
Mask R-CNN 20 Mar 2017 AKASH2907/bird-species-classification/evaluate.py 31724c8757cac523 unverified MIT (permissive)
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback 6 Oct 2015 ialab-puc/CuratorNet/src/MetricsUtils.py 92cec5bb48aca1b3 unverified MIT (permissive)
Multi-Dimensional Recurrent Neural Networks 14 May 2007 jzbjyb/rri_match/metric.py 2007c4e9c81aaf2c unverified Apache-2.0 (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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