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get_last_checkpoint

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

get_last_checkpoint appears in the code Syntology harvested for 22 papers, as 12 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 17 of the papers; 5 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_last_checkpoint 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 7 of the 12 distinct code bodies named get_last_checkpoint; 5 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
5ran
5unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 22 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

22 papers shown of 22, newest first; 22 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; 3 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.

PaperDateFileStatus SyntologyLicence
Output Embedding Centering for Stable LLM Pretraining added by Syntology 2026-01 (from id) flxst/output-embedding-centering/nanoGPT/config/script_create_config_val.py 2fb3e1f3ddc2017c unverified no licence file found · pointer only
emg2qwerty: A Large Dataset with Baselines for Touch Typing using Surface Electromyography 26 Oct 2024 facebookresearch/emg2qwerty/emg2qwerty/utils.py 11f5d3e303abe99d unverified licence not identified · pointer only
EfficientQAT: Efficient Quantization-Aware Training for Large Language Models 10 Jul 2024 opengvlab/efficientqat/main_e2e_qp.py 89ce33341af66037 ran · our draft was wrong fingerprinted MIT (permissive)
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO 17 Jun 2024 yonseivnl/vlm-rlaif/RLAIF/lora_utils.py 89ce33341af66037 ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
Automated Multi-level Preference for MLLMs 18 May 2024 takomc/amp/lora_utils.py 89ce33341af66037 ran · our draft was wrong fingerprinted no licence file found · pointer only
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models 11 Jan 2024 deepseek-ai/deepseek-moe/finetune/finetune.py 436288f52a3803bb ran fingerprinted MIT (permissive)
The Philosopher's Stone: Trojaning Plugins of Large Language Models 2023-12 (from id) chichidd/llm-lora-trojan/utils.py 52994a0cce5a9a54 ran fingerprinted Apache-2.0 (permissive)
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment 7 Nov 2023 rucaibox/figa/trainer_utils.py 9f1130d32c6430f8 ran no licence file found · pointer only
arXiv:2311.01015 2023-11 (from id) jpthu17/GraphMotion/GraphMotion/launch/prepare.py 937fa0d85f36fce1 ran fingerprinted Apache-2.0 (permissive)
Prediction and control of spatiotemporal chaos by learning conjugate tubular neighborhoods 2023-10 (from id) burakbudanur/conjnet/training/train_conjnet_KS.py a41ccb40863d7b03 ran no licence file found · pointer only
SALMON: Self-Alignment with Instructable Reward Models 9 Oct 2023 ibm/salmon/training/qlora_utils.py 89ce33341af66037 ran · our draft was wrong fingerprinted GPL-3.0 (copyleft) · pointer only
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models 5 Jun 2023 muhamadusman/assist/Segmentation/assist/check_trainings.py 3134b56f1e63aa9b unverified MIT (permissive)
QLoRA: Efficient Finetuning of Quantized LLMs 23 May 2023 artidoro/qlora/examples/guanaco_generate.py 89ce33341af66037 ran · our draft was wrong fingerprinted MIT (permissive)
Any-to-Any Generation via Composable Diffusion 19 May 2023 microsoft/i-Code/i-Code-Doc/core/common/utils.py 9f1130d32c6430f8 ran MIT (permissive)
Unifying Vision, Text, and Layout for Universal Document Processing 5 Dec 2022 DS4SD/MarkushGrapher/markushgrapher/core/common/utils.py 9f1130d32c6430f8 ran MIT (permissive)
LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding 28 Feb 2022 jpWang/LiLT/LiLTfinetune/evaluation.py 9f1130d32c6430f8 ran MIT (permissive)
DisCo: Remedy Self-supervised Learning on Lightweight Models with Distilled Contrastive Learning 19 Apr 2021 lyqcom/DisCo/MoCo/train_ms.py 18c07acccd255281 unverified Apache-2.0 (permissive)
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior 11 Jan 2020 bbbbbbzhou/DuDoRNet/utils/misc.py 50f0e5990ded5202 unverified MIT (permissive)
End-to-End Learning of Visual Representations from Uncurated Instructional Videos 13 Dec 2019 antoine77340/MIL-NCE_HowTo100M/main_distributed.py 4d241892c1ca731a ran · our draft was wrong fingerprinted Apache-2.0 (permissive)
HowTo100M: Learning a Text-Video Embedding by Watching Hundred Million Narrated Video Clips 7 Jun 2019 identical code first harvested elsewhere 4d241892c1ca731a ran · our draft was wrong fingerprinted licence of this copy not recorded
arXiv:2025.acl-long.498 OpenGVLab/EfficientQAT/main_e2e_qp.py 89ce33341af66037 ran · our draft was wrong fingerprinted MIT (permissive)
arXiv:2023.findings-emnlp.107 chenxn2020/GOSE/GOSEfinetune/evaluation.py 9f1130d32c6430f8 ran 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