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replace_masks

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

replace_masks appears in the code Syntology harvested for 10 papers, as 5 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 0 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 replace_masks 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 0 of the 5 distinct code bodies named replace_masks; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 6 of the 10 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

10 papers shown of 10, newest first; 10 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 1 papers added by Syntology; 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
Beyond Raw Detection Scores: Markov-Informed Calibration for Boosting Machine-Generated Text Detection added by Syntology 2026-02 (from id) tmlr-group/MRF_Calibration/methods/detectgpt.py 3b992344e4b4f98b unverified MIT (permissive)
SEFD: Semantic-Enhanced Framework for Detecting LLM-Generated Text 17 Nov 2024 hwq0726/sefd/dipper_paraphrases/detectgpt_run.py 710c5b670bd2a948 unverified no licence file found · pointer only
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios 31 Oct 2024 nlp2ct/detectrl/Detectors/DetectGPT.py cd67487f05408843 unverified no licence file found · pointer only
MIA-Tuner: Adapting Large Language Models as Pre-training Text Detector 16 Aug 2024 wjfu99/mia-tuner/dataset_perturb.py 11e5b3fc9bdba4a4 unverified no licence file found · pointer only
Detecting AI-Generated Sentences in Human-AI Collaborative Hybrid Texts: Challenges, Strategies, and Insights 6 Mar 2024 douglashiwo/aisentencedetection/B-Segment_Classification_Models/SeqXGPT/SeqXGPT_compress/backend_t5.py a150e54e0d2810c2 unverified no licence file found · pointer only
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected? 11 Jan 2024 dongping-chen/mixset/methods/detectgpt.py 3b992344e4b4f98b unverified no licence file found · pointer only
Red Teaming Language Model Detectors with Language Models 31 May 2023 shizhouxing/LLM-Detector-Robustness/DetectGPT/run_attack.py 11e5b3fc9bdba4a4 unverified BSD-3-Clause (permissive)
Membership Inference Attacks against Language Models via Neighbourhood Comparison 29 May 2023 mireshghallah/neighborhood-curvature-mia/run_mia_unified.py 11e5b3fc9bdba4a4 unverified no licence file found · pointer only
MGTBench: Benchmarking Machine-Generated Text Detection 26 Mar 2023 michalspiegel/imgtb/methods/abstract_methods/pertubation_based_experiment.py 3b992344e4b4f98b unverified MIT (permissive)
arXiv:2023.emnlp-main.616 xinleihe/MGTBench/methods/detectgpt.py 3b992344e4b4f98b 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