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generate_batch

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

generate_batch appears in the code Syntology harvested for 14 papers, as 15 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 2 of the papers; 2 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 generate_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 3 of the 15 distinct code bodies named generate_batch; 12 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
0ran · fixture could not drive it
1ran
12unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 15 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

14 papers shown of 14, newest first; 15 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; 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
Confidently Wrong: Severity-Aware Calibration of Prompt-Injection Detectors under Attack Shift added by Syntology 2026-06 (from id) anasbiswas1/picalib-research/src/targets.py 75418e56998a073f unverified no licence file found · pointer only
Rethinking Trust Region Bayesian Optimization in High Dimensions added by Syntology 2026-04 (from id) PaulsonLab/AdaScale-TuRBO/src/AdaScale_TuRBO_optimize.py c1385e760c507dce unverified MIT (permissive)
Inversion-based Latent Bayesian Optimization 8 Nov 2024 mlvlab/InvBO/invbo/utils/bo_utils/turbo.py 27be588cbcdb4733 unverified MIT (permissive)
Quality-Weighted Vendi Scores And Their Application To Diverse Experimental Design 3 May 2024 vertaix/quality-weighted-vendi-score/diverse_bayesopt/robot/trust_region.py 0037210780a90b14 ran MIT (permissive)
Advancing Bayesian Optimization via Learning Correlated Latent Space 31 Oct 2023 mlvlab/CoBO/cobo/utils/bo_utils/turbo.py a1d32b710e32cd21 unverified MIT (permissive)
arXiv:2306.10915 2023-06 (from id) acerbilab/relational-neural-processes/experiment/exp_uci.py d80986aac549f0ac unverified MIT (permissive)
Linear Classifier: An Often-Forgotten Baseline for Text Classification 12 Jun 2023 ASUS-AICS/LibMultiLabel/libmultilabel/nn/data_utils.py c75134085dccb869 unverified MIT (permissive)
More for Less: Safe Policy Improvement With Stronger Performance Guarantees 13 May 2023 lava-lab/improved_spi/env_util.py 508a316ff79e57cd unverified MIT (permissive)
Neural Architecture for Online Ensemble Continual Learning 27 Nov 2022 mateusz-wojcik-97/neural-architecture-for-online-ensemble-cl/continual_learning/models/continual/ensemble/ensemble_e2e_module.py 52fbfaf05b80251e unverified MIT (permissive)
Local Latent Space Bayesian Optimization over Structured Inputs 28 Jan 2022 nataliemaus/lolbo/lolbo/utils/bo_utils/turbo.py de6ce50bd4f3d1ca unverified MIT (permissive)
Tailor: Generating and Perturbing Text with Semantic Controls 15 Jul 2021 allenai/tailor/tailor/common/utils/model_utils.py 419a9eea6b994c3d unverified Apache-2.0 (permissive)
Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation 8 Jun 2021 bengioe/gflownet/grid/toy_grid_dag_al.py f08d023272aa048c unverified MIT (permissive)
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks 22 Aug 2017 gitabcworld/skiprnn_pytorch/01_adding_task.py c66f1653246a3f00 ran · our draft was wrong fingerprinted MIT (permissive)
Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks 22 Aug 2017 gitabcworld/skiprnn_pytorch/02_frequency_discrimination_task.py a74297a41b6da2e5 ran · our draft was wrong fingerprinted MIT (permissive)
Efficient Estimation of Word Representations in Vector Space 16 Jan 2013 ghlee0304/NLP-with-tensorflow-pytorch/basic_CBOW/basic_CBOW.py 257786122ed50760 unverified no licence file found · pointer only

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