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xavier_init

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

xavier_init appears in the code Syntology harvested for 18 papers, as 17 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 5 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 xavier_init 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 17 distinct code bodies named xavier_init; 13 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
2ran
13unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 19 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

18 papers shown of 18, newest first; 19 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. 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
State-Free Inference of State-Space Models: The Transfer Function Approach 10 May 2024 ruke1ire/RTF/rtf.py e8c14b7f4176d895 ran fingerprinted Apache-2.0 (permissive)
Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts 8 Mar 2024 wondergo2017/sild/DIDA/DIDA/utils/inits.py 072c717f02e44012 ran no licence file found · pointer only
Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization 18 Nov 2023 wondergo2017/DIDA/DIDA/utils/inits.py 072c717f02e44012 ran no licence file found · pointer only
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind 15 Oct 2021 unrealtracking/tom2c/model.py 849ee9d273c72d55 ran · our draft was wrong no licence file found · pointer only
Trusted Multi-View Classification 3 Feb 2021 hanmenghan/CPM_Nets/util/model.py a8389492cefa262a unverified no licence file found · pointer only
TransEdge: Translating Relation-contextualized Embeddings for Knowledge Graphs 22 Apr 2020 nju-websoft/TransEdge/code/model_funcs.py ae60d2c6a850f59a unverified MIT (permissive)
Rational neural networks 4 Apr 2020 NBoulle/RationalNets/src/Approximation/KdV_poly.py df01ac91ccf49144 unverified MIT (permissive)
SOLOv2: Dynamic and Fast Instance Segmentation 23 Mar 2020 OpenFirework/pytorch_solov2/modules/solov2.py 0adc33be4bb1dac3 unverified no licence file found · pointer only
Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies 17 Dec 2019 rushilanirudh/macc/utils.py 139e368dce2e10a1 unverified MIT (permissive)
Improved Surrogates in Inertial Confinement Fusion with Manifold and Cycle Consistencies 17 Dec 2019 rushilanirudh/macc/wae_metric/model_AVB.py 5eb1ccd14f3b5a80 unverified MIT (permissive)
Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy 13 Sep 2019 hagabbar/VItamin/Neural_Networks/vae_utils.py 0fad99d24f770537 unverified MIT (permissive)
Ego-CNN: Distributed, Egocentric Representations of Graphs for Detecting Critical Structures 23 Jun 2019 rutzeng/EgoCNN/run-visualization-model.py f9cf30923f4a2f36 unverified MIT (permissive)
HexaGAN: Generative Adversarial Nets for Real World Classification 26 Feb 2019 shinyflight/HexaGAN/train_mnist.py 76ac6beb564477fd unverified licence not identified · pointer only
Improving MMD-GAN Training with Repulsive Loss Function 24 Dec 2018 richardwth/MMD-GAN/GeneralTools/graph_func.py b38f1ddd69e392d9 unverified Apache-2.0 (permissive)
Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning 20 Mar 2017 kdexd/lang-emerge-parlai/bots.py daf2dbf91f9be1cd ran · our draft was wrong no licence file found · pointer only
Autoencoding Variational Inference For Topic Models 4 Mar 2017 akashgit/autoencoding_vi_for_topic_models/models/nvlda.py ce2f744c3f060169 unverified MIT (permissive)
Wasserstein GAN 26 Jan 2017 shekkizh/WassersteinGAN.tensorflow/utils.py 5645c84de7678d1e unverified MIT (permissive)
Deep Variational Information Bottleneck 1 Dec 2016 shijing001/VIB_audio_classification/model.py 1f17bea5c95190e2 unverified no licence file found · pointer only
Context Encoders: Feature Learning by Inpainting 25 Apr 2016 shekkizh/TensorflowProjects/TensorflowUtils.py 5645c84de7678d1e 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