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bootstrap

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

bootstrap appears in the code Syntology harvested for 11 papers, as 9 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 6 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 bootstrap 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 4 of the 9 distinct code bodies named bootstrap; 5 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
4ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 11 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; 11 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
Max-pooling Network Revisited: Analyzing the Role of Semantic Probability in Multiple Instance Learning for Hallucination Detection added by Syntology 2026-05 (from id) FUJI1229/Hallucination_Detection/gen/generation/uncertainty/utils/eval_utils.py 4b00bf597ecfdaac ran MIT (permissive)
Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs 22 Jun 2024 oatml/semantic-entropy-probes/semantic_uncertainty/uncertainty/utils/eval_utils.py 4b00bf597ecfdaac ran MIT (permissive)
MoCa: Measuring Human-Language Model Alignment on Causal and Moral Judgment Tasks 30 Oct 2023 cicl-stanford/moca/experiments/causal_effect_analysis.py fd056bb65f483c64 ran no licence file found · pointer only
The Topology and Geometry of Neural Representations 20 Sep 2023 doerlbh/topologicalrsa/utils_stats.py 593a327fd9465d8e ran no licence file found · pointer only
arXiv:2307.06422 2023-07 (from id) thupchnsky/dp-gnn/core/utils.py 3083dc7c7310cba3 ran MIT (permissive)
GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation 2 Mar 2022 sisaman/gap/core/utils.py 3083dc7c7310cba3 ran CC0-1.0 (permissive)
$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering 16 Apr 2021 orhonovich/q-squared/system_level.py be95edb39d85841d unverified Apache-2.0 (permissive)
A Survey on Reproducibility by Evaluating Deep Reinforcement Learning Algorithms on Real-World Robots 9 Sep 2019 dti-research/SenseActExperiments/evaluate/evaluate.py 72d7383d8fc116f0 unverified BSD-3-Clause (permissive)
Learning Temporal Coherence via Self-Supervision for GAN-based Video Generation 23 Nov 2018 thunil/TecoGAN/LPIPSmodels/util.py e5bd7d84ecd3318d unverified Apache-2.0 (permissive)
A Bayesian approach to linear regression in astronomy 2015-09 (from id) rsnemmen/BCES/bces/bces.py ade06d7c5c714e50 unverified MIT (permissive)
Introduction to astroML: Machine Learning for Astrophysics 2014-11 (from id) LBJ-Wade/astroML/astroML/resample.py 5a73f1eddaa803ee unverified BSD-2-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".

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