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get_output_dir

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

get_output_dir appears in the code Syntology harvested for 18 papers, as 15 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 4 of the papers; 1 of the code bodies carries 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_output_dir 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 4 of the 15 distinct code bodies named get_output_dir; 11 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
3ran
11unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 19 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

18 papers shown of 18, newest first; 19 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. 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
GeoBuildBench: A Benchmark for Interactive and Executable Geometry Construction from Natural Language added by Syntology 2026-05 (from id) ooongs/GeoBuildBench/src/utils.py 9b0c75ec4659dbad unverified no licence file found · pointer only
GOUHFI 2.0: A Next-Generation Toolbox for Brain Segmentation and Cortex Parcellation at Ultra-High Field MRI added by Syntology 2026-01 (from id) mafortin/GOUHFI/data_utils/preprocessing_pipeline.py 1b2ad914ac9c45de unverified Apache-2.0 (permissive)
Evaluating Quantized Large Language Models 28 Feb 2024 thu-nics/qllm-eval/qllm_eval/evaluation/q_long/main_longeval.py 7207245affae2bfe ran MIT (permissive)
Giraffe: Adventures in Expanding Context Lengths in LLMs 21 Aug 2023 abacusai/long-context/python/eval/longeval/utils.py f1195d8a23d10b75 unverified Apache-2.0 (permissive)
Learning Vision-and-Language Navigation from YouTube Videos 22 Jul 2023 jeremylinky/youtube-vln/utils/misc.py 1b9ab4ad9160ad73 ran MIT (permissive)
Enhancing Your Trained DETRs with Box Refinement 21 Jul 2023 yiqunchen1999/refinebox/refinebox/utils/utils.py f0a8874c0d2ec19a ran fingerprinted licence not identified · pointer only
Adversarial Policies Beat Superhuman Go AIs 1 Nov 2022 alignmentresearch/go_attack/compose/launch-training.py 9898ed7f912647ae unverified MIT (permissive)
Airbert: In-domain Pretraining for Vision-and-Language Navigation 20 Aug 2021 airbert-vln/airbert/utils/misc.py c899935328a33c24 unverified MIT (permissive)
Interpolation-based semi-supervised learning for object detection 3 Jun 2020 soo89/ISD-SSD/eval512.py a7b0cbe34874ac25 unverified MIT (permissive)
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators 23 Mar 2020 lucidrains/electra-pytorch/pretraining/openwebtext/pretrain.py 626e63a150cc746f ran · our draft was wrong MIT (permissive)
Domain Adaptation for Object Detection via Style Consistency 22 Nov 2019 pb2377/Pytorch-Domain-Adaptation-via-Style-Consistency/visualise_detections.py af7b48f3521d73e9 unverified MIT (permissive)
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection 9 Jul 2018 ppengtang/oicr/lib/fast_rcnn/config.py b0dcfe8273d808a7 unverified MIT (permissive)
Localization Recall Precision (LRP): A New Performance Metric for Object Detection 4 Jul 2018 cancam/LRP/pascal-voc-lrp/utils/config.py d2840813f8bef8d7 unverified MIT (permissive)
Feature Pyramid Networks for Object Detection 9 Dec 2016 yfnn/fused-model/lib/model/config.py d2840813f8bef8d7 unverified MIT (permissive)
A Hierarchical Approach for Generating Descriptive Image Paragraphs 20 Nov 2016 InnerPeace-Wu/im2p-tensorflow/lib/config.py 4786edbc775d299d unverified MIT (permissive)
Cross Modal Distillation for Supervision Transfer 2 Jul 2015 s-gupta/fast-rcnn/lib/fast_rcnn/config.py b0dcfe8273d808a7 unverified MIT (permissive)
Spatial Transformer Networks 5 Jun 2015 chenwuperth/rgz_rcnn/lib/fast_rcnn/config.py 4786edbc775d299d unverified MIT (permissive)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 4 Jun 2015 smallcorgi/Faster-RCNN_TF/lib/fast_rcnn/config.py 4786edbc775d299d unverified MIT (permissive)
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks 4 Jun 2015 playerkk/face-py-faster-rcnn/lib/fast_rcnn/config.py d824616e9b9ddc19 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