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_init_weights

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

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

Licence is a property of each copy, so it is counted per place: 3 of the 9 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

9 papers shown of 9, newest first; 9 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
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation 11 May 2024 SLDGroup/EMCAD/lib/decoders.py 92c1ff2ae480fc0f unverified licence not identified · pointer only
VideoMamba: State Space Model for Efficient Video Understanding 11 Mar 2024 opengvlab/videomamba/videomamba/video_sm/models/videomamba.py 547c8f8405c4d450 unverified Apache-2.0 (permissive)
HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution 27 Jun 2023 frederikkemarin/bend/bend/models/hyena_dna.py 8ae5fabb54f1ee70 unverified BSD-3-Clause (permissive)
Preference-grounded Token-level Guidance for Language Model Fine-tuning 1 Jun 2023 shentao-yang/preference_grounded_guidance/sum_task/reward_model.py 8f83f8e37a1fc568 unverified no licence file found · pointer only
Sequencer: Deep LSTM for Image Classification 4 May 2022 okojoalg/sequencer/models/two_dim_sequencer.py 58c0c12066377b33 unverified Apache-2.0 (permissive)
Transfer and Marginalize: Explaining Away Label Noise with Privileged Information 18 Feb 2022 danilprov/rethinking_lupi/classification_data/model.py 730f82560a7adf28 unverified no licence file found · pointer only
A ConvNet for the 2020s 10 Jan 2022 mzeromiko/vmamba/analyze/convnexts4nd/convnext_timm.py 7476dcb06a6af0ae unverified MIT (permissive)
Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs 19 Aug 2021 he-dhamo/graphto3d/model/VAEGAN_SHARED.py 0bb1f65c11193557 unverified Apache-2.0 (permissive)
Expressive Power of Invariant and Equivariant Graph Neural Networks 28 Jun 2020 mlelarge/graph_neural_net/models/blocks_emb.py db4528f69778c115 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