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sample_batch

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

sample_batch appears in the code Syntology harvested for 13 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 8 of the papers; 1 of the code bodies carries 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 sample_batch 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 9 of the 14 distinct code bodies named sample_batch; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
2ran · fixture could not drive it
5ran
5unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 6 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 3 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
Post-Training with Policy Gradients: Optimality and the Base Model Barrier added by Syntology 2026-03 (from id) mousavih/rlvr-base-model-barrier/utils/data_generator.py fab2e51229014b83 unverified no licence file found · pointer only
Uncertainty Decomposition for Bayes-Filtered Transformers via Bayesian Predictive Inference added by Syntology 4 Feb 2026 weiyaw/ud4pfn/experiments/beta_bernoulli/data.py 1aa3ed1c49159f33 unverified MIT (permissive)
Learning Heat-based Equations in Self-similar variables added by Syntology 2026-02 (from id) Kagami-319/SSV-Learning/train_window_nets.py 0af19b5e13a0e111 unverified no licence file found · pointer only
CURE4Rec: A Benchmark for Recommendation Unlearning with Deeper Influence 26 Aug 2024 xiye7lai/CURE4Rec/lightgcn.py ff17fff81e0dc53c ran no licence file found · pointer only
Offline Reinforcement Learning from Datasets with Structured Non-Stationarity 23 May 2024 johannesack/offlinerlstructurednonstationarity/RLMethods/TD3BCTrainer.py 9e7e7578eb33e5fc ran MIT (permissive)
Offline Reinforcement Learning from Datasets with Structured Non-Stationarity 23 May 2024 johannesack/offlinerlstructurednonstationarity/RLMethods/TD3Trainer.py 9dcf8cb33934578d ran MIT (permissive)
Neural Exec: Learning (and Learning from) Execution Triggers for Prompt Injection Attacks 6 Mar 2024 pasquini-dario/llm_neuralexec/find_neural_exec.py b05c142487c9d8c7 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
An attempt to generate new bridge types from latent space of denoising diffusion Implicit model 11 Feb 2024 QQ583304953/Bridge-DDIM/utils.py 8f5fb6c4bd5e1646 ran no licence file found · pointer only
On $f$-Divergence Principled Domain Adaptation: An Improved Framework 2 Feb 2024 nv-tlabs/fdal/demos/demo_mnist_usps.py 7c115a542ded0b00 ran · our draft was wrong licence not identified · pointer only
XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library 25 Dec 2023 agi-brain/xuance/xuance/common/memory_tools.py 921135160e526fe7 ran MIT (permissive)
DiffTraj: Generating GPS Trajectory with Diffusion Probabilistic Model 23 Apr 2023 Yasoz/DiffTraj/utils/helper.py 329c8696d9d543a5 unverified MIT (permissive)
Detecting Errors and Estimating Accuracy on Unlabeled Data with Self-training Ensembles 29 Jun 2021 jfc43/self-training-ensembles/utils/lib.py cd7764e623711eaa ran · fixture could not drive it Apache-2.0 (permissive)
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations 6 Jul 2020 chingyaoc/estimating-generalization/proxy_risk.py c8e8ed07252eed12 ran · fixture could not drive it no licence file found · pointer only
Class-Imbalanced Semi-Supervised Learning 17 Feb 2020 MinsungHyun/Class-Imbalanced-Semi-Supervised-Learning/CISSL_cls/lib/mi.py c57d6ed45a1f7842 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