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train_loop

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

train_loop appears in the code Syntology harvested for 11 papers, as 14 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 2 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 train_loop 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 2 of the 14 distinct code bodies named train_loop; 12 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
0ran · fixture could not drive it
2ran
12unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 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

11 papers shown of 11, 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 1 papers added by Syntology; 1 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
When PINNs Go Wrong: Pseudo-Time Stepping Against Spurious Solutions added by Syntology 2026-04 (from id) sifanexisted/jaxpi2/jaxpi/training.py 9ef8548ae633ca26 unverified Apache-2.0 (permissive)
Between Linear and Sinusoidal: Rethinking the Time Encoder in Dynamic Graph Learning 10 Apr 2025 hsinghuan/dg-linear-time/auxiliary/synthetic.py dff46a044e84aff7 unverified MIT (permissive)
Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach 31 Jan 2025 TIML-Group/Conformal-Prediction-Unlearning/main_original_model.py 28bf56b45f8ff355 unverified MIT (permissive)
SELECT: A Large-Scale Benchmark of Data Curation Strategies for Image Classification 7 Oct 2024 jimmyxu123/SELECT/vtab/vtab_finetune.py 7b10e462ddbf8e58 ran MIT (permissive)
KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment 11 May 2023 lingzhi-wang/kgaunlearn/response/run_generation.py 72c0db7655ddb2d6 unverified MIT (permissive)
Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular data 24 Oct 2022 seedatnabeel/data-iq/src/utils/group_dro_helpers.py 369603fff1a7ea66 unverified MIT (permissive)
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization 26 Jun 2022 umd-huang-lab/transfer-fairness/laftr+consis.py 2ee088c87c5a9313 unverified no licence file found · pointer only
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization 26 Jun 2022 umd-huang-lab/transfer-fairness/cfair.py f3f35b4be3c6f201 unverified no licence file found · pointer only
TEASEL: A Transformer-Based Speech-Prefixed Language Model 12 Sep 2021 tjdevWorks/TEASEL/fine_tune_mosi.py 9193f7ddaa9cf98e unverified Apache-2.0 (permissive)
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers 26 May 2021 YujiaBao/Predict-then-Interpolate/src/training/ours.py d20003ab7073cb3f ran MIT (permissive)
Post Training Uncertainty Calibration of Deep Networks For Medical Image Segmentation 2020-10 (from id) AxelJanRousseau/PostTrainCalibration/u-net_model_scripts/finetune_base_model.py cd5ce6539f54a651 unverified MIT (permissive)
Post Training Uncertainty Calibration of Deep Networks For Medical Image Segmentation 2020-10 (from id) AxelJanRousseau/PostTrainCalibration/u-net_model_scripts/retrain_dropout.py d7a8367bbcba0130 unverified MIT (permissive)
Post Training Uncertainty Calibration of Deep Networks For Medical Image Segmentation 2020-10 (from id) AxelJanRousseau/PostTrainCalibration/aux_scripts/Train_aux.py 32b55ab704551fca unverified MIT (permissive)
arXiv:openreview_5EKo3JdcR5 YingdaFan/ZeroDiff-ICML2026/imputation/lstm/torch_utils.py 81b20e77a4681fab 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".

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