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pearson_correlation

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

pearson_correlation appears in the code Syntology harvested for 15 papers, as 12 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 10 of the papers; 5 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 pearson_correlation 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 7 of the 12 distinct code bodies named pearson_correlation; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 6 of the 16 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

15 papers shown of 15, newest first; 16 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. 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
Rectifying Soft-Label Entangled Bias in Long-Tailed Dataset Distillation added by Syntology 2025-11 (from id) j-cyoung/ADSA_DD/EDC/cifar10/train/direct_train_adsa.py 593d10016514986d unverified no licence file found · pointer only
Taught Well Learned Ill: Towards Distillation-conditional Backdoor Attack added by Syntology 2025-09 (from id) WhitolfChen/SCAR/core/dist_kd.py 8eb964c14770de5c ran · violated contract fingerprinted no licence file found · pointer only
Thermalizer: Stable autoregressive neural emulation of spatiotemporal chaos 24 Mar 2025 pdearena/pdearena/pdearena/modules/loss.py d83235be62a2525b ran MIT recorded; this copy not marked cleared · pointer only
Predicting Change, Not States: An Alternate Framework for Neural PDE Surrogates 17 Dec 2024 anthonyzhou-1/temporal_pdes/common/loss.py 5ac79cc5c3d8f7fa unverified no licence file found · pointer only
Latent Action Pretraining from Videos 15 Oct 2024 simpler-env/SimplerEnv/simpler_env/utils/metrics.py 9dbd294d9713950c ran MIT (permissive)
MAD: Multi-Alignment MEG-to-Text Decoding 3 Jun 2024 neuspeech/mad-meg2text/utils/loss.py d00eea76cc523c64 ran · violated contract fingerprinted Apache-2.0 (permissive)
Mixture of Experts Meets Prompt-Based Continual Learning 23 May 2024 Minhchuyentoancbn/MoE_PromptCL/engines/loss.py 8eb964c14770de5c ran · violated contract fingerprinted MIT (permissive)
Data efficiency and long term prediction capabilities for neural operator surrogate models of core and edge plasma codes 2024-02 (from id) microsoft/pdearena/pdearena/modules/loss.py d83235be62a2525b ran MIT (permissive)
PiCO: Peer Review in LLMs based on the Consistency Optimization 2 Feb 2024 PKU-YuanGroup/Peer-review-in-LLMs/con_optimization/main_ablation.py 70b8da050907a87c ran fingerprinted no licence file found · pointer only
Root Cause Analysis In Microservice Using Neural Granger Causal Discovery 2 Feb 2024 zmlin1998/run/models/utils.py a2bb0bd2911a8eca ran fingerprinted no licence file found · pointer only
Improving Self-supervised Molecular Representation Learning using Persistent Homology 29 Nov 2023 LUOyk1999/Molecular-homology/finetune/finetune_PI.py f2033d144dea2f7d ran fingerprinted MIT (permissive)
How to Distill your BERT: An Empirical Study on the Impact of Weight Initialisation and Distillation Objectives 24 May 2023 mainlp/How-to-distill-your-BERT/task_agnostic_distillation/methods/pear_loss.py 78c3c61943df0cc0 unverified MIT (permissive)
Knowledge Distillation from A Stronger Teacher 21 May 2022 hunto/dist_kd/segmentation/losses/dist_kd.py d00eea76cc523c64 ran · violated contract fingerprinted Apache-2.0 (permissive)
Knowledge Distillation from A Stronger Teacher 21 May 2022 hunto/image_classification_sota/lib/models/losses/dist_kd.py 8eb964c14770de5c ran · violated contract fingerprinted Apache-2.0 (permissive)
MixFormer: Mixing Features across Windows and Dimensions 6 Apr 2022 flytocc/PaddleClas/ppcls/loss/dist_loss.py a7997903cea7558c unverified Apache-2.0 (permissive)
Uncovering the Topology of Time-Varying fMRI Data using Cubical Persistence 14 Jun 2020 BorgwardtLab/fMRI_Cubical_Persistence/ephemeral/predict_age.py e89075f985ad3076 unverified BSD-3-Clause (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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