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add_prefix

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

add_prefix appears in the code Syntology harvested for 20 papers, as 9 distinct code bodies found in 20 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 add_prefix 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 9 distinct code bodies named add_prefix; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
2ran
5unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 20 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

20 papers shown of 20, newest first; 20 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; 1 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
arXiv:2507.08387 2025-07 (from id) shlee94/Off2OnRL/rlkit/rlkit/core/logging.py 6dc14f1205c31904 unverified no licence file found · pointer only
DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task 24 Jun 2024 8421bcd/demorank/build_index/build_dense_index_after_train.py 9d00cfb48e576f8d ran no licence file found · pointer only
Adaptive $Q$-Aid for Conditional Supervised Learning in Offline Reinforcement Learning 3 Feb 2024 rail-berkeley/rlkit/rlkit/core/logging.py 6dc14f1205c31904 unverified MIT (permissive)
Accelerating Exploration with Unlabeled Prior Data 9 Nov 2023 facebookresearch/explore/train_finetuning.py 089275b7fa4d5916 ran · our draft was wrong licence not identified · pointer only
Text-Transport: Toward Learning Causal Effects of Natural Language 31 Oct 2023 torylin/text-transport/code/openai_classification.py c38c8c2ea3432d51 ran no licence file found · pointer only
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills 30 Oct 2023 seongun-kim/vcrl/vcrl/core/logging.py 6dc14f1205c31904 unverified MIT (permissive)
PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks 12 Jul 2023 IanChar/GPIDE/rlkit/core/logging.py 6dc14f1205c31904 unverified MIT (permissive)
Computationally Assisted Quality Control for Public Health Data Streams 29 Jun 2023 cmu-delphi/covidcast-indicators/_delphi_utils_python/delphi_utils/signal.py 76dfedde55294a59 unverified MIT (permissive)
Stabilizing Contrastive RL: Techniques for Robotic Goal Reaching from Offline Data 6 Jun 2023 chongyi-zheng/stable_contrastive_rl/rlkit/core/logging.py 6dc14f1205c31904 unverified MIT (permissive)
Adaptive and Explainable Deployment of Navigation Skills via Hierarchical Deep Reinforcement Learning 2023-05 (from id) leekwoon/hrl-nav/src/rlkit/core/logging.py 6dc14f1205c31904 unverified MIT (permissive)
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning 30 Sep 2022 dsshim0125/s2p/rlkit/core/logging.py 6dc14f1205c31904 unverified MIT (permissive)
Mildly Conservative Q-Learning for Offline Reinforcement Learning 9 Jun 2022 vitchyr/rlkit/rlkit/core/logging.py 6dc14f1205c31904 unverified MIT (permissive)
METGEN: A Module-Based Entailment Tree Generation Framework for Answer Explanation 5 May 2022 tencent-ailab/metalogic/code/MultitaskGenerator.py beba7770688234ee unverified MIT (permissive)
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation 3 Apr 2022 zhyever/monocular-depth-estimation-toolbox/depth/core/utils/misc.py 3fdd113170a0555f unverified Apache-2.0 (permissive)
Augmenting Reinforcement Learning with Behavior Primitives for Diverse Manipulation Tasks 7 Oct 2021 UT-Austin-RPL/maple/maple/core/logging.py 6dc14f1205c31904 unverified MIT (permissive)
What Can I Do Here? Learning New Skills by Imagining Visual Affordances 1 Jun 2021 patrickhaoy/ptp/rlkit/core/logging.py 6dc14f1205c31904 unverified MIT (permissive)
Benchmarking Unsupervised Object Representations for Video Sequences 12 Jun 2020 ecker-lab/object-centric-representation-benchmark/ocrb/op3/core/logging.py 42612b635bfa2e19 unverified MIT (permissive)
Entity Abstraction in Visual Model-Based Reinforcement Learning 28 Oct 2019 jcoreyes/OP3/op3/core/logging.py 42612b635bfa2e19 unverified MIT (permissive)
Contextual Imagined Goals for Self-Supervised Robotic Learning 23 Oct 2019 anair13/rlkit/rlkit/core/logging.py 6dc14f1205c31904 unverified MIT (permissive)
MobileNetV2: Inverted Residuals and Linear Bottlenecks 13 Jan 2018 meijieru/yet_another_mobilenet_series/models/mobilenet_base.py 9318cf2ca90a8c6a ran · our draft was wrong fingerprinted licence not identified · pointer only

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