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cat

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

cat appears in the code Syntology harvested for 32 papers, as 13 distinct code bodies found in 33 places (a place is one code body under one paper). At least one of them ran in 24 of the papers; 2 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 cat 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 13 distinct code bodies named cat; 6 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
4ran
6unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 33 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; 33 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 2 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
Persuasion Index: A Theory-Guided Framework for Persuasion Analysis added by Syntology 2026-06 (from id) krystalgong/Persuasion_Index_Code/lexicons/LLM_expansion/build_theory_definitions.py 098e97866be4b322 ran Apache-2.0 (permissive)
Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts added by Syntology 2025-08 (from id) hzcar/DUO/MonoFlex-KITTI/model/utils.py 6cbf46794989b731 ran · fixture could not drive it MIT (permissive)
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations 22 Jun 2024 lorenzobasile/IDCorrelation/utils/metrics.py 23fe8c66119c4364 ran · honoured contract no licence file found · pointer only
Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving 6 Jun 2024 thinklab-sjtu/bench2drivezoo/mmcv/layers/wrappers.py 2cc5addbe52bf811 ran licence not identified · pointer only
MonoCD: Monocular 3D Object Detection with Complementary Depths 4 Apr 2024 elvintanhust/monocd/model/utils.py 6cbf46794989b731 ran · fixture could not drive it MIT (permissive)
PA-SAM: Prompt Adapter SAM for High-Quality Image Segmentation 23 Jan 2024 xzz2/pa-sam/utils/losses.py 3e4ba19cff1075ba unverified no licence file found · pointer only
MaDi: Learning to Mask Distractions for Generalization in Visual Deep Reinforcement Learning 23 Dec 2023 bramgrooten/mask-distractions/src/utils.py 6c2c84b4ccb7f17b ran fingerprinted MIT (permissive)
SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation 24 Nov 2023 menglcool/segic/utils/loss_mask.py 3e4ba19cff1075ba unverified MIT (permissive)
Towards quantitative precision for ECG analysis: Leveraging state space models, self-supervision and patient metadata 29 Aug 2023 tmehari/ssm_ecg/code/train_ecg_model.py f49db14836b035d6 ran · honoured contract MIT (permissive)
Unsupervised Domain Adaptive Detection with Network Stability Analysis 16 Aug 2023 tiankongzhang/nsa/detection/layers/misc.py 6cbf46794989b731 ran · fixture could not drive it no licence file found · pointer only
When More is Less: Incorporating Additional Datasets Can Hurt Performance By Introducing Spurious Correlations 8 Aug 2023 basedrhys/ood-generalization/clinicaldg/algorithms.py e91f7d025aac4e1d ran fingerprinted licence not identified · pointer only
TarViS: A Unified Approach for Target-based Video Segmentation 6 Jan 2023 Ali2500/TarViS/tarvis/modelling/point_sampling_utils.py 723587c9b01223c1 unverified MIT (permissive)
Visual Reinforcement Learning with Self-Supervised 3D Representations 13 Oct 2022 YanjieZe/rl3d/src/utils.py 6c2c84b4ccb7f17b ran fingerprinted MIT (permissive)
Densely Constrained Depth Estimator for Monocular 3D Object Detection 20 Jul 2022 BraveGroup/DCD/DGDE/model/utils.py 6cbf46794989b731 ran · fixture could not drive it MIT (permissive)
Mix-Teaching: A Simple, Unified and Effective Semi-Supervised Learning Framework for Monocular 3D Object Detection 10 Jul 2022 yanglei18/mix-teaching/MonoFlex/model/utils.py 6cbf46794989b731 ran · fixture could not drive it Apache-2.0 (permissive)
MonoGround: Detecting Monocular 3D Objects from the Ground 15 Jun 2022 cfzd/monoground/model/utils.py 6cbf46794989b731 ran · fixture could not drive it MIT (permissive)
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks 30 May 2022 webstorms/FastSNN/block/nn/functional.py 40878053c1d18c98 unverified BSD-3-Clause (permissive)
Fine-Grained Predicates Learning for Scene Graph Generation 6 Apr 2022 xinyulyu/fgpl/maskrcnn_benchmark/modeling/roi_heads/relation_head/loss.py 6cbf46794989b731 ran · fixture could not drive it no licence file found · pointer only
Unified Transformer Tracker for Object Tracking 29 Mar 2022 flowerfan/trackron/trackron/models/poolers.py 7664e656f28eeecc unverified MIT (permissive)
Stabilizing Deep Q-Learning with ConvNets and Vision Transformers under Data Augmentation 1 Jul 2021 SVJayanthi/dmcontrol-generalization-benchmark/src/utils.py 6c2c84b4ccb7f17b ran fingerprinted MIT (permissive)
Objects are Different: Flexible Monocular 3D Object Detection 6 Apr 2021 zhangyp15/MonoFlex/model/utils.py 6cbf46794989b731 ran · fixture could not drive it MIT (permissive)
Tangent Space Backpropagation for 3D Transformation Groups 22 Mar 2021 princeton-vl/lietorch/lietorch/groups.py 5389af4c9463e592 unverified BSD-3-Clause (permissive)
Latent Video Transformer 18 Jun 2020 rakhimovv/lvt/vidgen/layers/wrappers.py 6cbf46794989b731 ran · fixture could not drive it Apache-2.0 (permissive)
ResNeSt: Split-Attention Networks 19 Apr 2020 chongruo/detectron2-resnest/detectron2/layers/wrappers.py 6cbf46794989b731 ran · fixture could not drive it Apache-2.0 recorded; this copy not marked cleared · pointer only
ResNeSt: Split-Attention Networks 19 Apr 2020 ferna11i/detectron2_ResNeST/detectron2/layers/wrappers.py 7664e656f28eeecc unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Equalization Loss for Long-Tailed Object Recognition 11 Mar 2020 tztztztztz/eql.detectron2/detectron2/layers/wrappers.py 6cbf46794989b731 ran · fixture could not drive it Apache-2.0 recorded; this copy not marked cleared · pointer only
SMOKE: Single-Stage Monocular 3D Object Detection via Keypoint Estimation 24 Feb 2020 lzccccc/SMOKE/smoke/modeling/utils.py 6cbf46794989b731 ran · fixture could not drive it MIT (permissive)
PubLayNet: largest dataset ever for document layout analysis 16 Aug 2019 hpanwar08/detectron2/detectron2/layers/wrappers.py 6cbf46794989b731 ran · fixture could not drive it Apache-2.0 recorded; this copy not marked cleared · pointer only
Learning to See the Invisible: End-to-End Trainable Amodal Instance Segmentation 24 Apr 2018 waiyulam/ORCNN/detectron2/layers/wrappers.py 6cbf46794989b731 ran · fixture could not drive it Apache-2.0 recorded; this copy not marked cleared · pointer only
A simple neural network module for relational reasoning 5 Jun 2017 gngdb/relational/relational/core.py 7e9b59eed3132c73 unverified Apache-2.0 (permissive)
arXiv:aaai_21370 airsplay/py-bottom-up-attention/detectron2/layers/wrappers.py 6cbf46794989b731 ran · fixture could not drive it Apache-2.0 recorded; this copy not marked cleared · pointer only
arXiv:Guo_Knowledge_Distillation_for_6D_Pose_Estimation_by_Aligning_Distributions_of_CVPR_2023_paper GUOShuxuan/kd-6d-pose-adlp/losses/loss.py 6cbf46794989b731 ran · fixture could not drive it Apache-2.0 (permissive)
arXiv:05519 MengLcool/SEGIC/utils/loss_mask.py 3e4ba19cff1075ba 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