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compute_scores

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

compute_scores appears in the code Syntology harvested for 20 papers, as 22 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 5 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 compute_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 22 distinct code bodies named compute_scores; 17 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
2ran
17unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 22 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; 22 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; 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
Beyond Expression Similarity: Contrastive Learning Recovers Functional Gene Associations from Protein Interaction Structure added by Syntology 2026-03 (from id) EridosAI/GeneticCAL/paper/strengthening_results/run_01_node_split.py 21db26aff31a21a8 unverified MIT (permissive)
Beyond Expression Similarity: Contrastive Learning Recovers Functional Gene Associations from Protein Interaction Structure added by Syntology 2026-03 (from id) EridosAI/GeneticCAL/paper/strengthening_results/run_02_seed_variance.py 47d2aa08855bb1e7 unverified MIT (permissive)
A Method for Evaluating Hyperparameter Sensitivity in Reinforcement Learning 10 Dec 2024 jadkins99/hyperparameter_sensitivity/analysis/utils.py 346b6c8dadbb7694 ran · our draft was wrong MIT (permissive)
On the Wasserstein Convergence and Straightness of Rectified Flow 19 Oct 2024 bansal-vansh/rectified-flow/simulated-data/gaussian.py 9da8172da0f91e5b unverified no licence file found · pointer only
Continuous Diffusion for Mixed-Type Tabular Data 16 Dec 2023 ChaejeongLee/CoDi/evaluation.py 3a582e0167af2add unverified no licence file found · pointer only
Black-box Membership Inference Attacks against Fine-tuned Diffusion Models 2023-12 (from id) py85252876/reconstruction-based-attack/cal_embedding.py fde82a812f2452e8 unverified MIT (permissive)
Interpretable Prototype-based Graph Information Bottleneck 30 Oct 2023 sang-woo-seo/pgib/models/train_gnns.py b98f5b6ae776daf2 ran · honoured contract no licence file found · pointer only
Contextual Label Projection for Cross-Lingual Structured Prediction 16 Sep 2023 pluslabnlp/clap/src/xgear/scorer.py 050ebc070b34109c unverified no licence file found · pointer only
Adapted Large Language Models Can Outperform Medical Experts in Clinical Text Summarization 14 Sep 2023 stanfordmimi/clin-summ/src/calc_metrics.py a136ceca67364792 ran licence not identified · pointer only
StoryBench: A Multifaceted Benchmark for Continuous Story Visualization 22 Aug 2023 google/storybench/metrics/pqa_dover.py fd72b75b4e4ab8a6 unverified Apache-2.0 (permissive)
Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench 7 Aug 2023 CUHK-ARISE/EmotionBench/evaluation/analysis.py 6c219c89016e40a4 ran GPL-3.0 (copyleft) · pointer only
Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models 7 Aug 2023 snudm-starlab/k-prune/src/prune.py 6cc4ed90b06ca999 unverified no licence file found · pointer only
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering 24 May 2023 aviclu/peekacross/compute_scores.py 827e0090858aabdc unverified MIT (permissive)
Learning Robust Dynamics through Variational Sparse Gating 21 Oct 2022 arnavkj1995/vsg/tools.py 9b634707bba3591e unverified MIT (permissive)
TransDreamer: Reinforcement Learning with Transformer World Models 19 Feb 2022 danijar/crafter/analysis/common.py 4827e9ff5f05b6f8 unverified MIT (permissive)
Deep Learning-based Damage Mapping with InSAR Coherence Time Series 24 May 2021 olliestephenson/dpm-rnn-public/generate_dpm.py 9c50f551d8c3877d unverified MIT (permissive)
Robust Bayesian Classification Using an Optimistic Score Ratio 8 Jul 2020 nian-si/bsc/tester.py 7b073e5db987889f unverified MIT (permissive)
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization 17 Oct 2019 sorooshafiee/Optimistic_Likelihoods/tester.py 2fe9f1fd67ce721a unverified MIT (permissive)
Video2Shop: Exact Matching Clothes in Videos to Online Shopping Images 14 Apr 2018 zhiqic/Video2ShopExactMatching/evaluation.py 5a0f1229fbc4dba5 ran · our draft was wrong no licence file found · pointer only
arXiv:2024.findings-emnlp.965 Chauncey-Jheng/PCRL-MRG/llama_recipes/pycocoevalcap/metrics_for_chs_mrg.py 8c9e701336fddca5 unverified Apache-2.0 (permissive)
arXiv:2024.findings-emnlp.965 Chauncey-Jheng/PCRL-MRG/llama_recipes/pycocoevalcap/metrics_for_eng_mrg.py 0564a1f0ab703869 unverified Apache-2.0 (permissive)
arXiv:2024.findings-acl.760 ej0cl6/TextEE/TextEE/scorer.py ebd82851bd00af87 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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