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calculate

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

calculate appears in the code Syntology harvested for 13 papers, as 13 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 3 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 calculate 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 3 of the 13 distinct code bodies named calculate; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
2ran
10unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 14 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

13 papers shown of 13, newest first; 14 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
A Statistical Approach for Modeling Irregular Multivariate Time Series with Missing Observations added by Syntology 2026-02 (from id) YerevaNN/mimic3-benchmarks/mimic3models/feature_extractor.py faa1e84a0a25b341 unverified MIT (permissive)
Deep Associations, High Creativity: A Simple yet Effective Metric for Evaluating Large Language Models added by Syntology 2025-10 (from id) ziliang6/PACE/src/association_calculate_model.py f8ee4a05dbab4e99 unverified Apache-2.0 (permissive)
Concept-Based Unsupervised Domain Adaptation 8 May 2025 xmed-lab/CUDA/analysis/a_distance.py 687e10b619fffd63 unverified MIT (permissive)
MC-CoT: A Modular Collaborative CoT Framework for Zero-shot Medical-VQA with LLM and MLLM Integration 6 Oct 2024 thomaswei-cn/MC-CoT/evaluation/eval_recall.py 6b92bbd5846da32b ran no licence file found · pointer only
Demystifying the Recency Heuristic in Temporal-Difference Learning 18 Jun 2024 brett-daley/recency-heuristic/learning/return_estimators.py 12cca2249119d079 ran no licence file found · pointer only
An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented Generation 3 Jun 2024 zhukun1020/noisefilter_ib/Info_Bottle.py 3d877a67b69fead5 ran · honoured contract no licence file found · pointer only
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation 3 Apr 2022 zhyever/monocular-depth-estimation-toolbox/depth/core/evaluation/metrics.py 0d757a05c5b90822 unverified Apache-2.0 (permissive)
A Broad Study of Pre-training for Domain Generalization and Adaptation 22 Mar 2022 VisionLearningGroup/Benchmark_Domain_Transfer/utils/analysis/a_distance.py 63d6af78700f6500 unverified MIT (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 haydlite/sparse-bert-ner/metrics.py 8cbcf76f3222a300 unverified MIT (permissive)
Towards Understanding the Role of Over-Parametrization in Generalization of Neural Networks 30 May 2018 bneyshabur/over-parametrization/measures.py eb36850fb9092242 unverified no licence file found · pointer only
Multitask learning and benchmarking with clinical time series data 22 Mar 2017 Dongximing/Mimic3/mimic3models/feature_extractor.py faa1e84a0a25b341 unverified MIT (permissive)
Multitask learning and benchmarking with clinical time series data 22 Mar 2017 zzzace2000/mimic-preprocess/mimic3models/feature_extractor.py 53c6097a0fd76435 unverified MIT (permissive)
arXiv:2025.findings-acl.1183 thunlp/TritonBench/EVAL/eval_G/2_efficiency.py 6c5603b32e76815a unverified Apache-2.0 (permissive)
arXiv:136720506 YuchenLiu98/ECCV2022-SDA-FAS/SDA-FAS/utils/statistic.py 3a3a83a1a3f2053f 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