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

scores appears in the code Syntology harvested for 12 papers, as 9 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 8 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 scores 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 5 of the 9 distinct code bodies named scores; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
2ran
4unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 12 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

12 papers shown of 12, newest first; 12 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 1 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
Do LLM Recommenders Know When They're Hallucinating? Auditing Confidence Calibration in Catalog Faithfulness added by Syntology 2026-08 (from id) rsrijith/cikm26-catalog-faithfulness/code/instrument_table.py 038db614afac5183 ran licence not identified · pointer only
From Words to Numbers: Your Large Language Model Is Secretly A Capable Regressor When Given In-Context Examples 11 Apr 2024 robertvacareanu/llm4regression/src/score_utils.py 59d9b24f46648543 unverified no licence file found · pointer only
arXiv:2310.18640 2023-10 (from id) naver-ai/dual-teacher/seg_core/eval_seg.py 2f9f2b2c69abf093 ran licence not identified · pointer only
CLIP is Also an Efficient Segmenter: A Text-Driven Approach for Weakly Supervised Semantic Segmentation 16 Dec 2022 linyq2117/clip-es/eval_cam_with_crf.py 4d8fbe9ff0f1714e ran · our draft was wrong MIT (permissive)
Dense Siamese Network for Dense Unsupervised Learning 21 Mar 2022 ZwwWayne/DenseSiam/densesiam/core/evaluators/cluster_mIoU_evaluator.py 0d954698d8107a2e unverified Apache-2.0 (permissive)
SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers 31 May 2021 rulixiang/segformer-pytorch/utils/eval_seg.py 771525e476e6dcb2 ran · our draft was wrong no licence file found · pointer only
Making Neural Networks Interpretable with Attribution: Application to Implicit Signals Prediction 26 Aug 2020 deezer/interpretable_nn_attribution/run_movielens.py 567d60ddbf3ccf72 ran · our draft was wrong fingerprinted no licence file found · pointer only
Weakly-Supervised Semantic Segmentation via Sub-category Exploration 3 Aug 2020 Juliachang/SC-CAM/tool/iouutils.py 4d8fbe9ff0f1714e ran · our draft was wrong MIT (permissive)
Pyramid Scene Parsing Network 4 Dec 2016 kazuto1011/pspnet-pytorch/libs/utils/metric.py a83c73332fef7d86 unverified MIT (permissive)
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation 23 Jul 2015 joseluis1061/neuralnilm/neuralnilm/scores.py 7eed19a0c9917f3f unverified Apache-2.0 (permissive)
arXiv:aaai_28139 linyq2117/TagCLIP/CLIP-ES/eval_cam.py 4d8fbe9ff0f1714e ran · our draft was wrong MIT (permissive)
arXiv:Lin_CLIP_Is_Also_an_Efficient_Segmenter_A_Text-Driven_Approach_for_CVPR_2023_paper linyq2117/CLIP-ES/eval_cam.py 4d8fbe9ff0f1714e 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