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get_color

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

get_color appears in the code Syntology harvested for 28 papers, as 22 distinct code bodies found in 29 places (a place is one code body under one paper). At least one of them ran in 13 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_color 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 8 of the 22 distinct code bodies named get_color; 14 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
1ran · violated contract
2ran · our draft was wrong
1ran · fixture could not drive it
3ran
14unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 29 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

28 papers shown of 28, newest first; 29 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 5 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
Bridging short-and medium-range weather forecasting with machine learning added by Syntology 2026-08 (from id) NOAA-PSL/nested-eagle/0.25deg-06km/baselines/niceplots.py 3a1470c342eb80cf ran fingerprinted Apache-2.0 (permissive)
Quantization-Permanent Unlearning via Circuit Attribution added by Syntology 2026-05 (from id) hannamw/EAP-IG/src/eap/visualization.py 994fc5fd1dd289d3 ran MIT (permissive)
World Properties without World Models: Recovering Spatial and Temporal Structure from Co-occurrence Statistics in Static Word Embeddings added by Syntology 2026-03 (from id) elanbarenholtz/static-embeddings-space-time/glove_multi_probe.py ec362998eb3021f4 unverified no licence file found · pointer only
PeerRank: Autonomous LLM Evaluation Through Web-Grounded, Bias-Controlled Peer Review added by Syntology 2026-02 (from id) caura-ai/caura-PeerRank/peerrank/figure_utils.py 76b9fd5321ad4c7c unverified MIT (permissive)
COS3D: Collaborative Open-Vocabulary 3D Segmentation added by Syntology 2025-10 (from id) Runsong123/COS3D/eval/colors.py eeee61bc904ad6c5 unverified licence not identified · pointer only
arXiv:2507.17015 2025-07 (from id) apple/ml-agent-evaluator/src/ageval/analysis/plotting.py 55e27b734515892a unverified licence not identified · pointer only
arXiv:2506.05447 2025-06 (from id) mirandrom/zsl/zsl_utils/mpl.py 73170d6a607b278d unverified Apache-2.0 (permissive)
(Mis)Fitting: A Survey of Scaling Laws 26 Feb 2025 hadasah/scaling_laws/paper_analysis_and_plots.py 8d1a5df6af7bf845 ran · our draft was wrong fingerprinted no licence file found · pointer only
HourVideo: 1-Hour Video-Language Understanding 7 Nov 2024 keshik6/HourVideo/hourvideo/hv_utils.py 132f9da86c87ad0d unverified Apache-2.0 (permissive)
Dense Associative Memory Through the Lens of Random Features 31 Oct 2024 bhoov/distributed_dam/eval_QUANT1b_no_retrieval+bounds.py ba1b59e1fc9e45ef ran · our draft was wrong fingerprinted no licence file found · pointer only
Dense Associative Memory Through the Lens of Random Features 31 Oct 2024 bhoov/distributed_DAM/eval_QUANT1b_no_retrieval+bounds.py de01004a8f0a222a unverified no licence file found · pointer only
Resolving Discrepancies in Compute-Optimal Scaling of Language Models 27 Jun 2024 formll/resolving-scaling-law-discrepencies/utils.py 8d1a5df6af7bf845 ran · our draft was wrong fingerprinted MIT (permissive)
Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering 2 Jun 2024 XingruiWang/SuperCLEVR-Physics/kubric/core/color.py 079ddfceef7c9152 unverified MIT (permissive)
Chinchilla Scaling: A replication attempt 15 Apr 2024 identical code first harvested elsewhere 8d1a5df6af7bf845 ran · our draft was wrong fingerprinted licence of this copy not recorded
Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models 28 Mar 2024 hannamw/eap-ig/src/eap/visualization.py 994fc5fd1dd289d3 ran MIT (permissive)
Multiple Object Tracking as ID Prediction 25 Mar 2024 MCG-NJU/MOTIP/demo/colormap.py 24f206ad2d176f97 ran Apache-2.0 (permissive)
NetTrack: Tracking Highly Dynamic Objects with a Net 17 Mar 2024 George-Zhuang/NetTrack/tracker/nettrack.py 0d2550860de1d622 ran · honoured contract fingerprinted Apache-2.0 (permissive)
Feature 3DGS: Supercharging 3D Gaussian Splatting to Enable Distilled Feature Fields 6 Dec 2023 keloee/maskfield/colors.py eeee61bc904ad6c5 unverified MIT (permissive)
TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes 17 Mar 2022 GAP-LAB-CUHK-SZ/TO-Scene/sem_seg/vis_tocrowd.py d01e418562a2f61b ran · violated contract fingerprinted MIT (permissive)
Kubric: A scalable dataset generator 7 Mar 2022 google-research/kubric/kubric/core/color.py 079ddfceef7c9152 unverified Apache-2.0 (permissive)
Delaunay Component Analysis for Evaluation of Data Representations 14 Feb 2022 petrapoklukar/dca/dca/visualization.py 30b6fc26960f032b unverified MIT (permissive)
ManiSkill: Generalizable Manipulation Skill Benchmark with Large-Scale Demonstrations 30 Jul 2021 aidan-curtis/az-manipulator/pointcloud_utils.py 92a88c30fa1f12f1 unverified Apache-2.0 (permissive)
FairMOT: On the Fairness of Detection and Re-Identification in Multiple Object Tracking 4 Apr 2020 harsh2912/people-tracking/src/lib/tracking_utils/visualization.py 0d2550860de1d622 ran · honoured contract fingerprinted MIT (permissive)
Objects as Points 16 Apr 2019 see--/keras-centernet/keras_centernet/utils/utils.py b3fc6fe78497a950 unverified MIT (permissive)
Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation 10 Jan 2019 zhangximing666/Auto-DeepLab_MS/postprocess.py 07109e3ece74dcc0 unverified MIT (permissive)
Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning 15 Oct 2018 DavidJanz/successor_uncertainties_tabular/plotting/plot_scaling.py c5e92f1d08cd7598 ran · fixture could not drive it no licence file found · pointer only
Differentiable Learning-to-Normalize via Switchable Normalization 28 Jun 2018 diogorpeixoto/SN_boxy/deps/keras_yolov3/utils/colors.py c539797d549ec4a4 unverified MIT (permissive)
Joint 2D-3D-Semantic Data for Indoor Scene Understanding 3 Feb 2017 alexsax/2D-3D-Semantics/assets/utils.py d01e418562a2f61b ran · violated contract fingerprinted Apache-2.0 (permissive)
arXiv:2023.acl-demo.30 Helsinki-NLP/OPUS-MT-map/create-map.py c2a446c2f6691180 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".

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