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register

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

register appears in the code Syntology harvested for 66 papers, as 35 distinct code bodies found in 71 places (a place is one code body under one paper). At least one of them ran in 42 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 register 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 14 of the 35 distinct code bodies named register; 21 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
4ran · our draft was wrong
0ran · fixture could not drive it
10ran
21unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 21 of the 71 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

66 papers shown of 66, newest first; 71 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 7 papers added by Syntology; 6 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
On Efficient Scaling of GNNs via IO-Aware Layers Implementations added by Syntology 2026-05 (from id) yandex-research/On-Efficient-Scaling-Of-GNNs/src/models/registry.py 964dcee138e3fb6a ran BSD-3-Clause (permissive)
LLMs as annotators of credibility assessment in Danish asylum decisions: evaluating classification performance and errors beyond aggregated metrics added by Syntology 2026-05 (from id) glhr/RAB-Cred/llm_annotation/schemas.py 553d68bf1be62460 ran no licence file found · pointer only
Second-Order, First-Class: A Composable Stack for Curvature-Aware Training added by Syntology 2026-03 (from id) cor3bit/somax/src/somax/presets.py bf106c4e3cfa927f unverified Apache-2.0 (permissive)
vLLM Hook v0: A Plug-in for Programming Model Internals on vLLM added by Syntology 2026-03 (from id) IBM/vLLM-Hook/vllm_hook_plugins/vllm_hook_plugins/_hook_plugin.py b2bf8210c576741d unverified Apache-2.0 (permissive)
Bounded-Abstention Multi-horion Time series Forecasting added by Syntology 2026-02 (from id) aditya-grover/climate-learn/src/climate_learn/metrics/utils.py 13710d199a13797d unverified MIT (permissive)
ARROW: An Adaptive Rollout and Routing Method for Global Weather Forecasting added by Syntology 2025-10 (from id) decisionintelligence/ARROW/metrics/utils.py 13710d199a13797d unverified no licence file found · pointer only
An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes added by Syntology 2025-09 (from id) EmilJavurek/Orthogonal-Q-in-MDPs/algos/registry.py b7ca1a731038ba64 unverified no licence file found · pointer only
EAMamba: Efficient All-Around Vision State Space Model for Image Restoration 27 Jun 2025 daidaijr/EAMamba/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong no licence file found · pointer only
EAMamba: Efficient All-Around Vision State Space Model for Image Restoration 27 Jun 2025 daidaijr/EAMamba/datasets/datasets.py 9687bf7a922f098a unverified no licence file found · pointer only
B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable 1 Nov 2024 shrebox/b-cosification/bcos/models/pretrained.py bd478142f31f9d59 unverified Apache-2.0 (permissive)
LARP: Tokenizing Videos with a Learned Autoregressive Generative Prior 28 Oct 2024 hywang66/LARP/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong MIT (permissive)
How to Evaluate Reward Models for RLHF 18 Oct 2024 lmarena/ppe/utils/core.py 0289a0e6c43b86d3 ran no licence file found · pointer only
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement 17 Oct 2024 Peterande/D-FINE/src/core/workspace.py 2a50c87f96494841 ran Apache-2.0 (permissive)
OVA-DETR: Open Vocabulary Aerial Object Detection Using Image-Text Alignment and Fusion 22 Aug 2024 GT-Wei/RT-OVAD/src/core/yaml_utils.py ac0b264881e880f3 ran Apache-2.0 (permissive)
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More 8 Aug 2024 tianrun-chen/sam-adapter-pytorch/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong MIT (permissive)
Accelerating Image Super-Resolution Networks with Pixel-Level Classification 31 Jul 2024 3587jjh/PCSR/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong no licence file found · pointer only
BotEval: Facilitating Interactive Human Evaluation 25 Jul 2024 isi-nlp/boteval/boteval/registry.py 327388c847cf5678 ran Apache-2.0 (permissive)
Do Large Language Models Have Compositional Ability? An Investigation into Limitations and Scalability 22 Jul 2024 oliverxuzy/llm_compose/src/tasks/task.py 99cbddb25116a0d7 ran no licence file found · pointer only
Retrospective for the Dynamic Sensorium Competition for predicting large-scale mouse primary visual cortex activity from videos 12 Jul 2024 bryanlimy/ViV1T/src/viv1t/criterions.py 3c702d811d125a17 ran MIT (permissive)
DMTG: One-Shot Differentiable Multi-Task Grouping 6 Jul 2024 ethanygao/DMTG/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong no licence file found · pointer only
Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning 22 Feb 2024 OliverXUZY/Foudation-Model_Multitask/datasets/datasets.py 9687bf7a922f098a unverified no licence file found · pointer only
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models 6 Feb 2024 ggjy/vision_weak_to_strong/few_shot_leaerning/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong no licence file found · pointer only
Learning High-Quality and General-Purpose Phrase Representations 18 Jan 2024 tigerchen52/PEARL/source/registry.py e53465ccba8de2d5 ran CC0-1.0 (permissive)
Relax Image-Specific Prompt Requirement in SAM: A Single Generic Prompt for Segmenting Camouflaged Objects 12 Dec 2023 jyLin8100/GenSAM/datasets/datasets.py 9687bf7a922f098a unverified MIT (permissive)
Eliciting Latent Knowledge from Quirky Language Models 2 Dec 2023 eleutherai/elk-generalization/elk_generalization/elk/ccs_losses.py 9e7337824581dcce ran MIT (permissive)
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World 16 Oct 2023 joyjayng/Bongard-OpenWorld/models/model.py 44c3aa4c610ea3f7 ran · our draft was wrong Apache-2.0 (permissive)
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World 16 Oct 2023 joyjayng/Bongard-OpenWorld/datasets/dataset.py 9687bf7a922f098a unverified Apache-2.0 (permissive)
Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution 9 Mar 2023 liyuantsao/flowsr-lp/LINF-LP/models/linf.py 44c3aa4c610ea3f7 ran · our draft was wrong no licence file found · pointer only
V1T: large-scale mouse V1 response prediction using a Vision Transformer 6 Feb 2023 bryanlimy/V1T/src/v1t/losses.py 3c702d811d125a17 ran MIT (permissive)
Sample Dropout: A Simple yet Effective Variance Reduction Technique in Deep Policy Optimization 5 Feb 2023 linzichuan/sdpo/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
PECAN: Leveraging Policy Ensemble for Context-Aware Zero-Shot Human-AI Coordination 16 Jan 2023 LxzGordon/pecan_human_AI_coordination/overcookedgym/human_aware_rl/baselines/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT (permissive)
Offline RL for Natural Language Generation with Implicit Language Q Learning 5 Jun 2022 sea-snell/implicit-language-q-learning/src/load_objects.py 792f500fac4f3fba unverified MIT (permissive)
py-irt: A Scalable Item Response Theory Library for Python 2 Mar 2022 nd-ball/py-irt/py_irt/initializers.py 06eee8f34be53db4 unverified MIT (permissive)
Visual Acoustic Matching 14 Feb 2022 see2sound/see2sound/see2sound/codi/models/latent_diffusion/diffusion_unet.py c73767b33cb559fa unverified Apache-2.0 (permissive)
Learned Queries for Efficient Local Attention 21 Dec 2021 moabarar/qna/models/qna_vit.py 103f46a75894451d unverified MIT (permissive)
Local Texture Estimator for Implicit Representation Function 17 Nov 2021 jaewon-lee-b/lte/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong BSD-3-Clause (permissive)
Local Texture Estimator for Implicit Representation Function 17 Nov 2021 jaewon-lee-b/lte/datasets/datasets.py 9687bf7a922f098a unverified BSD-3-Clause (permissive)
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution 30 Oct 2021 ml-postech/lisa/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong BSD-3-Clause (permissive)
Contrastive Reinforcement Learning of Symbolic Reasoning Domains 16 Jun 2021 gpoesia/socratic-tutor/agent.py 6a1ad0909c55aa20 ran · our draft was wrong no licence file found · pointer only
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding 26 May 2021 google-research/nested-transformer/models/nest_net.py 103f46a75894451d unverified Apache-2.0 (permissive)
Multi-Agent Trust Region Policy Optimization 15 Oct 2020 hepengli/matrpo/matrpo/common/models.py a44574392d168384 ran · our draft was wrong MIT (permissive)
Bongard-LOGO: A New Benchmark for Human-Level Concept Learning and Reasoning 2 Oct 2020 NVlabs/Bongard-LOGO/Bongard-LOGO_Baselines/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
PC-PG: Policy Cover Directed Exploration for Provable Policy Gradient Learning 16 Jul 2020 mbhenaff/pcpg/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT (permissive)
Curious Hierarchical Actor-Critic Reinforcement Learning 7 May 2020 knowledgetechnologyuhh/goal_conditioned_RL_baselines/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT (permissive)
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning 9 Mar 2020 cyvius96/few-shot-meta-baseline/meta-dataset/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong MIT (permissive)
Performative Prediction 16 Feb 2020 mrtzh/whynot/whynot/gym/envs/registration.py 2718f2328806addb unverified MIT (permissive)
Hierarchical Deep Q-Network from Imperfect Demonstrations in Minecraft 18 Dec 2019 cog-isa/forger/policy/models.py 7aeb4ce6909a6810 unverified MIT (permissive)
Influence-Based Multi-Agent Exploration 12 Oct 2019 TonghanWang/EITI-EDTI/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
RLCard: A Toolkit for Reinforcement Learning in Card Games 10 Oct 2019 Branbados/rlcard/rlcard/models/registration.py 502de621e94695b2 unverified MIT (permissive)
RLCard: A Toolkit for Reinforcement Learning in Card Games 10 Oct 2019 cogitoergoread/rlcard3/rlcard3/model_agents/registration.py 03fa11a9780ef265 unverified MIT (permissive)
DiffTaichi: Differentiable Programming for Physical Simulation 1 Oct 2019 taichi-dev/taichi/python/taichi/_main.py edefab49bfdc7428 unverified Apache-2.0 (permissive)
Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds 29 Aug 2019 jplalor/py-irt/py_irt/initializers.py 06eee8f34be53db4 unverified MIT (permissive)
Deep Reinforcement Learning for Industrial Insertion Tasks with Visual Inputs and Natural Rewards 13 Jun 2019 mizolotu/SmartExcavator/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
Random Expert Distillation: Imitation Learning via Expert Policy Support Estimation 16 May 2019 RuohanW/RED/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning 7 May 2019 seungyulhan/disc/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
Deep Reinforcement Learning using Genetic Algorithm for Parameter Optimization 19 Feb 2019 aralab-unr/ReinforcementLearningWithGA/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
Assessing Generalization in Deep Reinforcement Learning 29 Oct 2018 sunblaze-ucb/rl-generalization/sunblaze_envs/registration.py 0c4c9f359acd3c78 unverified MIT (permissive)
Pyro: Deep Universal Probabilistic Programming 18 Oct 2018 uber/pyro/pyro/settings.py 4ccde65baa528cbc unverified Apache-2.0 (permissive)
PCN: Point Completion Network 2 Aug 2018 wentaoyuan/pcn/kitti_registration.py 079447ff7ae596e5 unverified MIT (permissive)
Simple random search provides a competitive approach to reinforcement learning 19 Mar 2018 eric-erki/robotics-rl-srl/environments/registry.py 171decf255010ed6 unverified MIT (permissive)
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation 17 Aug 2017 openai/baselines/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT (permissive)
Improved Training of Wasserstein GANs 31 Mar 2017 unicredit/ganzo/src/loss.py 28c0e133abb7a340 ran · our draft was wrong Apache-2.0 (permissive)
Learning to reinforcement learn 17 Nov 2016 gomerudo/openai-baselines/baselines/common/models.py a44574392d168384 ran · our draft was wrong MIT recorded; this copy not marked cleared · pointer only
Asymptotic formulae for likelihood-based tests of new physics 2010-07 (from id) scikit-hep/pyhf/src/pyhf/events.py ca0999c2f2915b3a unverified Apache-2.0 (permissive)
arXiv:aaai_20297 linkedin/DuaLip/src/dualip/projections/base.py ae4b5099637ff070 unverified BSD-2-Clause (permissive)
arXiv:Xiao_Towards_Progressive_Multi-Frequency_Representation_for_Image_Warping_CVPR_2024_paper junxiao01/MFR/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong BSD-3-Clause (permissive)
arXiv:Wang_Object_Detection_using_Event_Camera_A_MoE_Heat_Conduction_based_CVPR_2025_paper Event-AHU/OpenEvDET/CvHeat-DET/src/core/yaml_utils.py ac0b264881e880f3 ran MIT (permissive)
arXiv:Wang_ISP2HRNet_Learning_to_Reconstruct_High_Resolution_Image_from_Irregularly_Sampled_ICCV_2025_paper yuanlinwang/ISP2HRNet/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong MIT (permissive)
arXiv:Pak_B-Spline_Texture_Coefficients_Estimator_for_Screen_Content_Image_Super-Resolution_CVPR_2023_paper ByeongHyunPak/btc/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong MIT (permissive)
arXiv:Pak_B-Spline_Texture_Coefficients_Estimator_for_Screen_Content_Image_Super-Resolution_CVPR_2023_paper ByeongHyunPak/btc/datasets/datasets.py 9687bf7a922f098a unverified MIT (permissive)
arXiv:Han_ABCD_Arbitrary_Bitwise_Coefficient_for_De-Quantization_CVPR_2023_paper WooKyoungHan/ABCD/models/models.py 44c3aa4c610ea3f7 ran · our draft was wrong BSD-3-Clause (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