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clean_state_dict

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

clean_state_dict 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 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 clean_state_dict 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 6 of the 9 distinct code bodies named clean_state_dict; 3 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
4ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 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, and the graph's for 1 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
Test-Time Learning of Causal Structure from Interventional Data added by Syntology 2026-02 (from id) huawei-noah/trustworthyAI/TabbyTSFM/src/tabby/checkpoint.py 0e8e78ee9b8acff8 unverified Apache-2.0 (permissive)
Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation 13 Jun 2025 mdivyanshu97/discovr/run_discovr_encoder.py 4619da37e019258a ran · our draft was wrong no licence file found · pointer only
Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers 13 Dec 2024 huggingface/pytorch-image-models/timm/models/_helpers.py 930f19095abcbbf7 unverified Apache-2.0 (permissive)
Dual-Path Adversarial Lifting for Domain Shift Correction in Online Test-time Adaptation 26 Aug 2024 yushuntang/dpal/models/helpers.py 9d8a74383a0f33dc ran MIT (permissive)
DAWN: Domain-Adaptive Weakly Supervised Nuclei Segmentation via Cross-Task Interactions 23 Apr 2024 zhangye-zoe/dawn/src/dawn/utils/checkpoint.py 5dd1dfa3221aaa86 ran no licence file found · pointer only
Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation 7 Mar 2024 ut-vision/s2dhand/model/shape_net.py ac95297821b3d0f7 ran licence not identified · pointer only
Memory Encoding Model 2 Aug 2023 huzeyann/MemoryEncodingModel/mem/backbone.py fdc8013a1059c0c5 ran licence not identified · pointer only
Taxonomizing local versus global structure in neural network loss landscapes 23 Jul 2021 nsfzyzz/loss_landscape_taxonomy/workspace/src/code/Mode_connectivity.py 1fc072078f313a48 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 CorneliusHsiao/FoodMethodGAN/association_model_and_GAN/networks.py 7288e0a6a39cdc75 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