op_copy
op_copy appears in the code Syntology harvested for 17 papers, as 1 distinct code body found in 17 places (a place is one code body under one paper). At least one of them ran in 17 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 op_copy 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 1 of the 1 distinct code body named op_copy; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:
Licence is a property of each copy, so it is counted per place: 11 of the 17 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
17 papers shown of 17, newest first; 17 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.
| Paper | Date | File | Status Syntology | Licence |
|---|---|---|---|---|
| LFM: Leveraging Foundation Models for Source-Free Universal Domain Adaptation added by Syntology | 2026-07 (from id) | identical code first harvested elsewhere 93a11f62e4a129f0 |
ran · our draft was wrong | licence of this copy not recorded |
| MU-SHOT-Fi: Self-Supervised Multi-User Wi-Fi Sensing with Source-free Unsupervised Domain Adaptation added by Syntology | 2026-05 (from id) | AhmedRadwan02/mu-shot-fi/WiDAR/SHOT/uda_widar.py 93a11f62e4a129f0 |
ran · our draft was wrong | no licence file found · pointer only |
| What Has Been Overlooked in Contrastive Source-Free Domain Adaptation: Leveraging Source-Informed Latent Augmentation within Neighborhood Context | 18 Dec 2024 | identical code first harvested elsewhere 93a11f62e4a129f0 |
ran · our draft was wrong | licence of this copy not recorded |
| Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework | 19 Nov 2024 | identical code first harvested elsewhere 93a11f62e4a129f0 |
ran · our draft was wrong | licence of this copy not recorded |
| LEAD: Learning Decomposition for Source-free Universal Domain Adaptation | 6 Mar 2024 | ispc-lab/glc/train_source.py 93a11f62e4a129f0 |
ran · our draft was wrong | no licence file found · pointer only |
| Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification | 6 Jul 2023 | yuyongcan/benchmark-tta/train_source.py 93a11f62e4a129f0 |
ran · our draft was wrong | no licence file found · pointer only |
| CoNMix for Source-free Single and Multi-target Domain Adaptation | 7 Nov 2022 | identical code first harvested elsewhere 93a11f62e4a129f0 |
ran · our draft was wrong | licence of this copy not recorded |
| Uncertainty-Induced Transferability Representation for Source-Free Unsupervised Domain Adaptation | 30 Aug 2022 | identical code first harvested elsewhere 93a11f62e4a129f0 |
ran · our draft was wrong | licence of this copy not recorded |
| Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation | 27 Jul 2022 | albert0147/sfda_neighbors/train_src.py 93a11f62e4a129f0 |
ran · our draft was wrong | MIT (permissive) |
| Prior Knowledge Guided Unsupervised Domain Adaptation | 18 Jul 2022 | tsun/KUDA/DINE/DINE_dist.py 93a11f62e4a129f0 |
ran · our draft was wrong | MIT (permissive) |
| Attracting and Dispersing: A Simple Approach for Source-free Domain Adaptation | 9 May 2022 | albert0147/aad_sfda/tar_adaptation.py 93a11f62e4a129f0 |
ran · our draft was wrong | no licence file found · pointer only |
| On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation | 1 Feb 2022 | maohaos2/MSFDA/adapt.py 93a11f62e4a129f0 |
ran · our draft was wrong | MIT (permissive) |
| Nearest Neighborhood-Based Deep Clustering for Source Data-absent Unsupervised Domain Adaptation | 27 Jul 2021 | tntek/N2DCX/object/N2DCEX_target.py 93a11f62e4a129f0 |
ran · our draft was wrong | MIT (permissive) |
| DINE: Domain Adaptation from Single and Multiple Black-box Predictors | 4 Apr 2021 | tim-learn/Dis-tune/DINE_dist.py 93a11f62e4a129f0 |
ran · our draft was wrong | MIT (permissive) |
| Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer | 14 Dec 2020 | identical code first harvested elsewhere 93a11f62e4a129f0 |
ran · our draft was wrong | licence of this copy not recorded |
| Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation | 20 Feb 2020 | identical code first harvested elsewhere 93a11f62e4a129f0 |
ran · our draft was wrong | licence of this copy not recorded |
| arXiv:Liang_DINE_Domain_Adaptation_From_Single_and_Multiple_Black-Box_Predictors_CVPR_2022_paper | tim-learn/DINE/DINE_dist.py 93a11f62e4a129f0 |
ran · our draft was wrong | 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