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read_pickle

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

read_pickle appears in the code Syntology harvested for 32 papers, as 21 distinct code bodies found in 32 places (a place is one code body under one paper). At least one of them ran in 11 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 read_pickle 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 6 of the 21 distinct code bodies named read_pickle; 15 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
5ran
15unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 32 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; 32 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
Uncertainty Decomposition for Bayes-Filtered Transformers via Bayesian Predictive Inference added by Syntology 4 Feb 2026 weiyaw/ud4pfn/experiments/_shared/artifacts.py 3a4505d0014c9009 unverified MIT (permissive)
Reward Learning through Ranking Mean Squared Error added by Syntology 2026-01 (from id) IRLL/R4/src/utils.py f76d34b2796b3544 unverified MIT (permissive)
TextureSplat: Per-Primitive Texture Mapping for Reflective Gaussian Splatting 16 Jun 2025 maeyounes/texturesplat/nero2blender.py efee911929a0c616 unverified licence not identified · pointer only
RandNet-Parareal: a time-parallel PDE solver using Random Neural Networks 9 Nov 2024 Parallel-in-Time-Differential-Equations/RandNet-Parareal/Burgers_analysis.py 04e41c1fdf86e8d1 unverified MIT (permissive)
Linguistics Theory Meets LLM: Code-Switched Text Generation via Equivalence Constrained Large Language Models 30 Oct 2024 gkuwanto/ezswitch/src/utils.py 3f3086e4bbd9ba0c unverified no licence file found · pointer only
Large-Scale Targeted Cause Discovery with Data-Driven Learning 29 Aug 2024 snu-mllab/targeted-cause-discovery/train/src/utils.py 621ec17cc6678229 ran MIT (permissive)
LLMmap: Fingerprinting For Large Language Models 22 Jul 2024 pasquini-dario/LLMmap/LLMmap/utility.py c7497cceeb28ffef ran MIT (permissive)
Neural Directional Encoding for Efficient and Accurate View-Dependent Appearance Modeling 23 May 2024 lwwu2/nde/utils/dataset/glossyreal.py efee911929a0c616 unverified no licence file found · pointer only
3D Gaussian Splatting with Deferred Reflection 29 Apr 2024 gapszju/3DGS-DR/nero2blender.py efee911929a0c616 unverified no licence file found · pointer only
Text-Tuple-Table: Towards Information Integration in Text-to-Table Generation via Global Tuple Extraction 22 Apr 2024 gersteinlab/Struc-Bench/score/D2T/utils.py 1ab147c8cefa1585 ran no licence file found · pointer only
GeoEval: Benchmark for Evaluating LLMs and Multi-Modal Models on Geometry Problem-Solving 15 Feb 2024 geoeval/geoeval/tool/util.py 6f879add2a544e52 ran no licence file found · pointer only
Sample, estimate, aggregate: A recipe for causal discovery foundation models 2 Feb 2024 rmwu/sea/src/utils.py 621ec17cc6678229 ran no licence file found · pointer only
Efficient4D: Fast Dynamic 3D Object Generation from a Single-view Video 16 Jan 2024 fudan-zvg/efficient4d/ldm/base_utils.py efee911929a0c616 unverified no licence file found · pointer only
DreamComposer: Controllable 3D Object Generation via Multi-View Conditions 6 Dec 2023 yhyang-myron/DreamComposer/ldm/base_utils.py efee911929a0c616 unverified MIT (permissive)
GauHuman: Articulated Gaussian Splatting from Monocular Human Videos 5 Dec 2023 skhu101/gauhuman/scene/gaussian_model.py 7c09b400c2ec8c86 ran licence not identified · pointer only
SyncDreamer: Generating Multiview-consistent Images from a Single-view Image 7 Sep 2023 liuyuan-pal/syncdreamer/blender_script.py efee911929a0c616 unverified MIT (permissive)
Topology-aware Robust Optimization for Out-of-distribution Generalization 26 Jul 2023 joffery/tro/toy/data_loader/data_loader.py 5b2f7ee28a672fc7 ran · our draft was wrong no licence file found · pointer only
PQA: Exploring the Potential of Product Quantization in DNN Hardware Acceleration 25 May 2023 abdelfattah-lab/PQA/analytical_model/mse_vs_latency.py c7497cceeb28ffef ran MIT (permissive)
Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge network 23 Sep 2022 mariokrenn6240/futureofaiviaai/all_models/M1/file_utils.py c65e76b6f3277e6e unverified MIT (permissive)
WeatherBench Probability: A benchmark dataset for probabilistic medium-range weather forecasting along with deep learning baseline models 2 May 2022 sagar-garg/WeatherBench/src/utils.py d441d8b694b302f4 unverified MIT (permissive)
On the Evaluation Metrics for Paraphrase Generation 17 Feb 2022 shadowkiller33/parascore/BARTScore/utils.py 1ab147c8cefa1585 ran Apache-2.0 (permissive)
Adaptive Conformal Predictions for Time Series 15 Feb 2022 mzaffran/adaptiveconformalpredictionstimeseries/AgACI/R/utils.py 66b18bf3288051bc unverified MIT (permissive)
Graph-Relational Domain Adaptation 8 Feb 2022 wang-ml-lab/grda/configs/config_random_15_new.py 5b2f7ee28a672fc7 ran · our draft was wrong no licence file found · pointer only
Training for the Future: A Simple Gradient Interpolation Loss to Generalize Along Time 15 Aug 2021 anshuln/training-for-the-future/src/CIDA/utils.py 3e3f8e045455f655 unverified MIT (permissive)
Wide-Baseline Relative Camera Pose Estimation with Directional Learning 7 Jun 2021 arthurchen0518/DirectionNet/util.py 263dd17f8d97dd82 unverified MIT (permissive)
Graph Random Neural Network for Semi-Supervised Learning on Graphs 22 May 2020 junzhuang-code/lindt/src/utils.py aec7eb44fa04447e unverified MIT (permissive)
ZPD Teaching Strategies for Deep Reinforcement Learning from Demonstrations 26 Oct 2019 RevanMacQueen/LearningFromHumans/lfh/utils/io.py 7b7ecea431823fff unverified MIT (permissive)
PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning 23 Feb 2018 jingxixu/pddlstream/pddlstream/utils.py 257cc63283c5f9a0 unverified MIT (permissive)
Fast Direct Methods for Gaussian Processes 2014-03 (from id) transientlunatic/heron/heron/bilby.py d8e014a3543b25b3 unverified ISC (permissive)
arXiv:aaai_17247 ziyux/AFE/src/AFE_DAT.py 257cc63283c5f9a0 unverified MIT (permissive)
arXiv:2024.naacl-long.187 psunlpgroup/FairSumm/ThirdParty/BARTScore/utils.py 1ab147c8cefa1585 ran Apache-2.0 (permissive)
arXiv:2021.findings-emnlp.138 inimah/protoinfomax/src/eval_imax.py af2e7b8cff355044 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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