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load_ckpt

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

load_ckpt appears in the code Syntology harvested for 31 papers, as 27 distinct code bodies found in 31 places (a place is one code body under one paper). At least one of them ran in 5 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 load_ckpt 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 4 of the 27 distinct code bodies named load_ckpt; 23 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
1ran
23unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 31 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

31 papers shown of 31, newest first; 31 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; 2 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
DexGrasp Anything: Towards Universal Robotic Dexterous Grasping with Physics Awareness 11 Mar 2025 4DVLab/DexGrasp-Anything/train_ddm.py f591a08d058d1e89 unverified MIT (permissive)
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation 9 Feb 2025 yangzhifeio/MMGDreamer/dataset/threedfront_dataset.py 2f96282ef3f85dbe unverified MIT (permissive)
Spatio-Spectral Graph Neural Networks 29 May 2024 sigeisler/s2gnn/graphgps/checkpoint.py 85a688d6f0fbec00 ran MIT (permissive)
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo 26 Apr 2024 silent-zebra/twisted-smc-lm/plot_bounds.py f7056ad862e2b7d9 unverified no licence file found · pointer only
ViewFusion: Towards Multi-View Consistency via Interpolated Denoising 29 Feb 2024 Wi-sc/ViewFusion/3drec/adapt_gddpm.py 16f5658b4f119a9d unverified Apache-2.0 (permissive)
InstanceDiffusion: Instance-level Control for Image Generation 5 Feb 2024 frank-xwang/InstanceDiffusion/utils/model.py 37960ce701410505 unverified Apache-2.0 (permissive)
Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data 19 Jan 2024 LiheYoung/Depth-Anything/metric_depth/train_mono.py 6ff08048a8305588 ran · fixture could not drive it Apache-2.0 (permissive)
ViT-Lens: Towards Omni-modal Representations 27 Nov 2023 TencentARC/ViT-Lens/vitlens/src/mm_vit_lens/vitlens.py 7b4af626bdf313e3 ran · honoured contract licence not identified · pointer only
RedCoast: A Lightweight Tool to Automate Distributed Training of LLMs on Any GPU/TPUs 25 Oct 2023 tanyuqian/redco/redco/deployers/ckpt_utils.py dd029e53ad532a38 unverified Apache-2.0 (permissive)
BAA-NGP: Bundle-Adjusting Accelerated Neural Graphics Primitives 7 Jun 2023 IntelLabs/baa-ngp/baangp/utils.py b5c6b7e13c76ed78 unverified MIT (permissive)
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance 5 Jun 2023 jw9730/lps/src/train/configure_model.py aa0af576b7d7f97d unverified MIT (permissive)
Simulated Annealing in Early Layers Leads to Better Generalization 10 Apr 2023 amiiir-sarfi/seal/core.py ac6f2ab677109bb5 unverified no licence file found · pointer only
ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes 9 Apr 2023 arnold-benchmark/arnold/ckpt_selection.py 0800b4fef63dbf21 unverified MIT (permissive)
ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth 23 Feb 2023 identical code first harvested elsewhere 6ff08048a8305588 ran · fixture could not drive it licence of this copy not recorded
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics 12 Oct 2022 tum-pbs/dmcf/run_sample.py c583d2d47369eb21 unverified MIT (permissive)
PPMN: Pixel-Phrase Matching Network for One-Stage Panoptic Narrative Grounding 11 Aug 2022 dzh19990407/ppmn/models/extract_fpn_with_ckpt_load_from_detectron2.py b22836db23a6149f unverified Apache-2.0 (permissive)
Removing Batch Normalization Boosts Adversarial Training 4 Jul 2022 amazon-research/normalizer-free-robust-training/utils/utils.py cfb106a12475f94c unverified Apache-2.0 (permissive)
Energy-Based Contrastive Learning of Visual Representations 10 Feb 2022 1202kbs/ebclr/libs/ebclr.py fdcbd4afb30b8c3f ran · honoured contract no licence file found · pointer only
Exploiting a Zoo of Checkpoints for Unseen Tasks 5 Nov 2021 baidu-research/task_space/LMs/ckpt.py e5e0fe4eb7697fcb unverified MIT (permissive)
Supervised Compression for Resource-Constrained Edge Computing Systems 21 Aug 2021 yoshitomo-matsubara/supervised-compression/ckpt_editor.py 5bf69d1c652d53f2 unverified Apache-2.0 (permissive)
Contrastive Multimodal Fusion with TupleInfoNCE 6 Jul 2021 hoi4d/TupleInfoNCE/src/utils.py ecf4aca51d0a4cf5 unverified MIT (permissive)
GAN Slimming: All-in-One GAN Compression by A Unified Optimization Framework 25 Aug 2020 TAMU-VITA/GAN-Slimming/utils/utils.py 059345875fabd4d1 unverified MIT (permissive)
Recurrent Feature Reasoning for Image Inpainting 9 Aug 2020 jingyuanli001/RFR-Inpainting/utils/io.py 6494155d4a61448e unverified MIT (permissive)
Rethinking Channel Dimensions for Efficient Model Design 2 Jul 2020 ysbsb/ReXNet-PyTorch/utils.py 0535326f88e06187 unverified MIT (permissive)
AutoGAN-Distiller: Searching to Compress Generative Adversarial Networks 15 Jun 2020 vita-group/gan-slimming/utils/utils.py 059345875fabd4d1 unverified MIT (permissive)
SCALOR: Generative World Models with Scalable Object Representations 6 Oct 2019 JindongJiang/SCALOR/utils.py 93334e1ff1042702 unverified MIT (permissive)
NAS-FCOS: Fast Neural Architecture Search for Object Detection 11 Jun 2019 Lausannen/NAS-FCOS/maskrcnn_benchmark/nas/helpers/utils.py 2d70cc16e9c12926 unverified BSD-2-Clause (permissive)
Image Inpainting for Irregular Holes Using Partial Convolutions 20 Apr 2018 naoto0804/pytorch-inpainting-with-partial-conv/util/io.py 6494155d4a61448e unverified MIT (permissive)
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation 30 Mar 2018 barisbatuhan/dass_det_inference/dass_det/utils/checkpoint.py 8851ffb179a522ed unverified Apache-2.0 (permissive)
arXiv:aaai_27969 TianyuGoGO/XPNG/models/extract_fpn_with_ckpt_load_from_detectron2.py b22836db23a6149f unverified Apache-2.0 (permissive)
arXiv:Chen_DViN_Dynamic_Visual_Routing_Network_for_Weakly_Supervised_Referring_Expression_CVPR_2025_paper XxFChen/DViN/utils/ckpt.py f23c4c65b82c5f2c 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".

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