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get_pretraining_file

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

get_pretraining_file appears in the code Syntology harvested for 12 papers, as 3 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 11 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 get_pretraining_file 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 2 of the 3 distinct code bodies named get_pretraining_file; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 9 of the 12 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

12 papers shown of 12, newest first; 12 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. 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
Balanced Learning for Domain Adaptive Semantic Segmentation added by Syntology 2025-12 (from id) Woof6/BLDA/experiments.py 7063030b369b4ce1 ran · our draft was wrong no licence file found · pointer only
Towards Robust Pseudo-Label Learning in Semantic Segmentation: An Encoding Perspective added by Syntology 2025-12 (from id) Woof6/ECOCSeg/experiments.py 7063030b369b4ce1 ran · our draft was wrong no licence file found · pointer only
Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation 29 May 2025 ewsn1593/hdrq/experiments.py 7063030b369b4ce1 ran · our draft was wrong MIT (permissive)
A Universal Degradation-based Bridging Technique for Domain Adaptive Semantic Segmentation 13 Dec 2024 Woof6/DiDA/experiments.py 7063030b369b4ce1 ran · our draft was wrong no licence file found · pointer only
Diffusion Features to Bridge Domain Gap for Semantic Segmentation 2 Jun 2024 Yux1angJi/DIFF/experiments.py af963ecc1f137160 unverified no licence file found · pointer only
Open-Set Domain Adaptation for Semantic Segmentation 30 May 2024 KHU-AGI/BUS/experiments.py 7063030b369b4ce1 ran · our draft was wrong no licence file found · pointer only
We're Not Using Videos Effectively: An Updated Domain Adaptive Video Segmentation Baseline 1 Feb 2024 simarkareer/unifiedvideoda/experiments.py 7063030b369b4ce1 ran · our draft was wrong Apache-2.0 (permissive)
Unified Domain Adaptive Semantic Segmentation 22 Nov 2023 zhe-sapi/udass/image_udass/seg/experiments.py 7063030b369b4ce1 ran · our draft was wrong no licence file found · pointer only
CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation 29 Jul 2023 XiaRho/CMDA/experiments.py 7063030b369b4ce1 ran · our draft was wrong no licence file found · pointer only
To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation 27 Jul 2023 MarcBotet/hamlet/experiments.py 71c25d9a7c22c4fa ran GPL-2.0 (copyleft) · pointer only
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation 27 Apr 2023 susaha/edaps/experiments_bottomup.py 7063030b369b4ce1 ran · our draft was wrong Apache-2.0 (permissive)
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation 29 Nov 2021 kw01sg/crda/experiments.py 7063030b369b4ce1 ran · our draft was wrong 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