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step

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

step appears in the code Syntology harvested for 32 papers, as 36 distinct code bodies found in 42 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 4 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 step 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 10 of the 36 distinct code bodies named step; 26 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
1ran · fixture could not drive it
6ran
26unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 42 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

32 papers shown of 32, newest first; 42 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 6 papers added by Syntology; 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
Towards a Belief-Based World Model for LLM Agents added by Syntology 2026-09 (from id) WeiminXiong/MPO/utils/replace_sciworld_score.py 91b0f8598b261907 unverified Apache-2.0 (permissive)
An Agentic AI Scientific Community for Automated Neural Operator Discovery added by Syntology 2026-07 (from id) luislootx/AI-SC/nod/code/build_paper.py 88d0028a26b9bf43 ran MIT (permissive)
Online Generalised Predictive Coding added by Syntology 2026-05 (from id) MLDawn/ODEM/algorithms/E_step.py 4a8314d2d7a43740 ran fingerprinted AGPL-3.0 (copyleft) · pointer only
Online Generalised Predictive Coding added by Syntology 2026-05 (from id) MLDawn/ODEM/algorithms/M_step.py 58975bb1377b81a3 ran AGPL-3.0 (copyleft) · pointer only
Seeing Isn't Believing: Mitigating Belief Inertia via Active Intervention in Embodied Agents added by Syntology 2026-04 (from id) WangHanLinHenry/EVU/other_env/eval_agent/utils/replace_sciworld_score.py 91b0f8598b261907 unverified no licence file found · pointer only
Improving Sparse Autoencoder with Dynamic Attention added by Syntology 2026-04 (from id) qyj-bkjx/Sparsemax-SAE/src/sae_training/sparse_autoencoder.py 06d421a8db58516e unverified MIT (permissive)
MPCG: Multi-Round Persona-Conditioned Generation for Modeling the Evolution of Misinformation with LLMs added by Syntology 2025-09 (from id) bcjr1997/MPCG/mpcg/role_playing_misinformation_generation_cuda.py 69739ed7c3ef75e9 ran · our draft was wrong no licence file found · pointer only
arXiv:2506.15755 2025-06 (from id) wangdaha1/VLMInferSlow/attacks/utils/compute.py 30d6096da83fd892 unverified no licence file found · pointer only
SPA-RL: Reinforcing LLM Agents via Stepwise Progress Attribution 27 May 2025 wanghanlinhenry/spa-rl-agent/eval_agent/utils/replace_sciworld_score.py 91b0f8598b261907 unverified MIT (permissive)
Direct Multi-Turn Preference Optimization for Language Agents 21 Jun 2024 swt-user/dmpo/eval_agent/utils/replace_sciworld_score.py 91b0f8598b261907 unverified no licence file found · pointer only
Watch Every Step! LLM Agent Learning via Iterative Step-Level Process Refinement 17 Jun 2024 weiminxiong/ipr/eval_agent/utils/replace_sciworld_score.py 91b0f8598b261907 unverified no licence file found · pointer only
The Elements of Differentiable Programming 21 Mar 2024 diffprog/code/control_flows/plot_soft_thresholding.py 8bb9ef7b2dd1407c ran Apache-2.0 (permissive)
Trial and Error: Exploration-Based Trajectory Optimization for LLM Agents 4 Mar 2024 yifan-song793/eto/eval_agent/utils/replace_sciworld_score.py 91b0f8598b261907 unverified no licence file found · pointer only
Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays 5 Feb 2024 QingyuanWuNothing/AD-RL/DETERMINISTIC-MDP.py 6abe638592f2fc98 ran fingerprinted no licence file found · pointer only
Specify Robust Causal Representation from Mixed Observations 21 Oct 2023 ymy4323460/cari/codebase/utils.py 33f13521765f71e4 ran fingerprinted no licence file found · pointer only
More for Less: Safe Policy Improvement With Stronger Performance Guarantees 13 May 2023 lava-lab/improved_spi/env_util.py 00a69808cc4ed02d unverified MIT (permissive)
Decoupling Human and Camera Motion from Videos in the Wild 24 Feb 2023 vye16/slahmr/slahmr/humor/humor_model.py b42b9ef8a1f5a556 unverified MIT (permissive)
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference 21 Nov 2022 cvlab-epfl/zigzag/exps/toy_regression.py ed7721901f412400 unverified MIT (permissive)
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics 12 Oct 2022 tum-pbs/dmcf/datasets/free_fall_gen.py 40a148b6fb7749bc unverified MIT (permissive)
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks 24 May 2022 cychomatica/one-pixel-shotcut/training.py 6613eec4ec10b472 unverified Apache-2.0 (permissive)
Efficient Online Bayesian Inference for Neural Bandits 1 Dec 2021 probml/bandits/bandits/training.py 3e45667ba74a8413 unverified MIT (permissive)
SORNet: Spatial Object-Centric Representations for Sequential Manipulation 8 Sep 2021 wentaoyuan/sornet/train_clevr.py 70cbeab60da02673 unverified MIT (permissive)
SORNet: Spatial Object-Centric Representations for Sequential Manipulation 8 Sep 2021 wentaoyuan/sornet/train_leonardo.py 263ba8b7b267c3e4 unverified MIT (permissive)
SORNet: Spatial Object-Centric Representations for Sequential Manipulation 8 Sep 2021 wentaoyuan/sornet/train_regression.py 565a7402728223c4 unverified MIT (permissive)
UniRE: A Unified Label Space for Entity Relation Extraction 9 Jul 2021 Receiling/UniRE/entity_relation_joint_decoder.py 7923c42d53550a69 ran · our draft was wrong MIT (permissive)
Safe Value Functions 25 May 2021 sheim/vibly/models/daslip.py 8d3bf3ad5f61f6cd unverified MIT (permissive)
Safe Value Functions 25 May 2021 sheim/vibly/models/nslip.py 2883642f8bbd352a unverified MIT (permissive)
Safe Value Functions 25 May 2021 sheim/vibly/models/parslip.py d0a938a8c361a66a unverified MIT (permissive)
HuMoR: 3D Human Motion Model for Robust Pose Estimation 10 May 2021 davrempe/humor/humor/models/humor_model.py b42b9ef8a1f5a556 unverified MIT (permissive)
DeepReach: A Deep Learning Approach to High-Dimensional Reachability 4 Nov 2020 stanfordasl/hj_reachability/hj_reachability/solver.py 5b9a0d44189540dc unverified MIT (permissive)
Training Generative Adversarial Networks with Limited Data 11 Jun 2020 beresandras/gan-flavours-keras/utils.py e4aa47838d197a6b unverified MIT (permissive)
Quantization Networks 21 Nov 2019 aliyun/alibabacloud-quantization-networks/models/quantization.py 73faf61923ab6fc6 ran · honoured contract fingerprinted Apache-2.0 (permissive)
MMTM: Multimodal Transfer Module for CNN Fusion 20 Nov 2019 haamoon/mmtm/main_mmtm_ntu.py f5cbdca0600a0fd4 unverified MIT (permissive)
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees 11 Sep 2019 grockious/lcrl/src/lcrl/automata/cart_pole.py 13cccf56f08b0d20 unverified MIT (permissive)
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees 11 Sep 2019 grockious/lcrl/src/lcrl/automata/frozen_lake_1_2_3.py c28303defaa68021 unverified MIT (permissive)
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees 11 Sep 2019 grockious/lcrl/src/lcrl/automata/frozen_lake_4_5_6.py fe5a29213a5ed23d unverified MIT (permissive)
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees 11 Sep 2019 grockious/lcrl/src/lcrl/automata/goal1_or_goal2.py 6615f68ab5ba1c9b unverified MIT (permissive)
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees 11 Sep 2019 grockious/lcrl/src/lcrl/automata/goal1_then_goal2.py d51a7a42f1ec1a1b unverified MIT (permissive)
Reinforcement Learning for Temporal Logic Control Synthesis with Probabilistic Satisfaction Guarantees 11 Sep 2019 grockious/lcrl/src/lcrl/automata/mars_rover_1_3.py c6ec4fbec67ad889 unverified MIT (permissive)
Meta-Learning with Warped Gradient Descent 30 Aug 2019 flennerhag/warpgrad/src/warpgrad/warpgrad/utils.py 953b2b83b9cf396a unverified Apache-2.0 (permissive)
Dynamic Memory Networks for Visual and Textual Question Answering 4 Mar 2016 edithal-14/DMN-Novelty/dmn.py e87ff604cb0fde70 ran · fixture could not drive it no licence file found · pointer only
arXiv:2025.findings-acl.669 BradMcDanel/PipeSpec/decoding.py a7c896749a123ce5 unverified 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