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eval_step

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

eval_step appears in the code Syntology harvested for 10 papers, as 13 distinct code bodies found in 13 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 eval_step 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 eval_step; 10 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · 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: 7 of the 13 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

10 papers shown of 10, newest first; 13 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. 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
Customizing the Inductive Biases of Softmax Attention using Structured Matrices added by Syntology 2025-09 (from id) YilunKuang/structured-attention/train_ICL.py 53782f15c39fa389 unverified Apache-2.0 (permissive)
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning 7 Jun 2024 graphminddartmouth/disgen/src/train_util.py 8dd72428904bc682 unverified no licence file found · pointer only
Attention Meets Post-hoc Interpretability: A Mathematical Perspective 5 Feb 2024 gianluigilopardo/attention_meets_xai/multi_head_trainer.py 5346471696249003 ran · our draft was wrong no licence file found · pointer only
Recurrent Distance Filtering for Graph Representation Learning 3 Dec 2023 skeletondyh/GRED/train_peptides_func.py 33f96f60e03d9f4d unverified no licence file found · pointer only
Recurrent Distance Filtering for Graph Representation Learning 3 Dec 2023 skeletondyh/GRED/train_peptides_struct.py 573953132860b6c8 unverified no licence file found · pointer only
Recurrent Distance Filtering for Graph Representation Learning 3 Dec 2023 skeletondyh/GRED/train_pixel.py 361ca6724f795584 unverified no licence file found · pointer only
Recurrent Distance Filtering for Graph Representation Learning 3 Dec 2023 skeletondyh/GRED/train_sbm.py 2ce1907d2dc05d8f unverified no licence file found · pointer only
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs 25 Oct 2023 tanyuqian/redco/redco/trainers/utils.py 4925175b59c41e2d unverified Apache-2.0 (permissive)
Targeted Attack Improves Protection against Unauthorized Diffusion Customization 7 Oct 2023 caradryanliang/improvedadvdm/evaluation.py 7f5f265e8a1e513c ran no licence file found · pointer only
JaxPruner: A concise library for sparsity research 27 Apr 2023 google-research/jaxpruner/jaxpruner/baselines/scenic/classification_trainer.py c6a6436e3a9a3b4d unverified Apache-2.0 (permissive)
Instant Neural Graphics Primitives with a Multiresolution Hash Encoding 16 Jan 2022 blurgyy/jaxngp/app/imagefit.py e1d0a3ae170c33ea unverified Apache-2.0 (permissive)
MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based Finetuning 9 Dec 2021 Aleph-Alpha/magma/magma/train_loop.py 5efa2a11277a7471 ran MIT (permissive)
Gaussian Process Prior Variational Autoencoders 28 Oct 2018 fpcasale/GPPVAE/pysrc/faceplace/train_gppvae.py 9df13e595576ff5e 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".

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