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make_prefix

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

make_prefix appears in the code Syntology harvested for 11 papers, as 15 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 8 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 make_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 6 of the 15 distinct code bodies named make_prefix; 9 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
6ran · our draft was wrong
0ran · fixture could not drive it
0ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 17 places is 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

11 papers shown of 11, newest first; 17 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; 2 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:2507.21892 2025-07 (from id) LHRLAB/Graph-R1/script_process.py 018ba1bb83412f58 ran · our draft was wrong MIT (permissive)
The Hallucination Dilemma: Factuality-Aware Reinforcement Learning for Large Reasoning Models 30 May 2025 nusnlp/fspo/examples/data_preprocess/math_dataset.py 2ce3cb087c966a7e ran · our draft was wrong Apache-2.0 (permissive)
An Empirical Study on Reinforcement Learning for Reasoning-Search Interleaved LLM Agents 21 May 2025 identical code first harvested elsewhere 018ba1bb83412f58 ran · our draft was wrong licence of this copy not recorded
CSC-SQL: Corrective Self-Consistency in Text-to-SQL via Reinforcement Learning 19 May 2025 cycloneboy/csc_sql/src/cscsql/service/grpo/nl2sql_grpo.py 7daf04d203ab1f5c ran · our draft was wrong Apache-2.0 (permissive)
Reinforced Internal-External Knowledge Synergistic Reasoning for Efficient Adaptive Search Agent 12 May 2025 hzy312/knowledge-r1/scripts/data_process/2wiki_knowledge_boundary.py dd73263b8c088bdf ran · our draft was wrong Apache-2.0 (permissive)
MT-R1-Zero: Advancing LLM-based Machine Translation via R1-Zero-like Reinforcement Learning 14 Apr 2025 fzp0424/mt-r1-zero/data/process_data.py acc2f8f230217c25 ran · our draft was wrong Apache-2.0 (permissive)
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning 31 Mar 2025 linjc16/Rec-R1/src/dataset/amazon_c4/inst/sparse/subset_data.py bbdbd1c51a1db3a3 ran · our draft was wrong Apache-2.0 (permissive)
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning 12 Mar 2025 petergriffinjin/search-r1/scripts/data_process/nq_search.py 018ba1bb83412f58 ran · our draft was wrong Apache-2.0 (permissive)
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning 28 Feb 2025 pat-jj/deepretrieval/code/data_preprocess/bird.py 49231bf0422fb2d5 unverified MIT (permissive)
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning 28 Feb 2025 pat-jj/deepretrieval/code/data_preprocess/ctgov.py bd162b7f6f193c7b unverified MIT (permissive)
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning 28 Feb 2025 pat-jj/deepretrieval/code/data_preprocess/fever.py bc592fb448c2d78d unverified MIT (permissive)
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning 28 Feb 2025 pat-jj/deepretrieval/code/data_preprocess/fiqa.py 606ffeb10da3d22e unverified MIT (permissive)
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning 28 Feb 2025 pat-jj/deepretrieval/code/data_preprocess/hotpotqa.py 545e19c701f43c85 unverified MIT (permissive)
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning 28 Feb 2025 pat-jj/deepretrieval/code/data_preprocess/msmarco_beir.py 1c8330e765ddfad8 unverified MIT (permissive)
DeepRetrieval: Hacking Real Search Engines and Retrievers with Large Language Models via Reinforcement Learning 28 Feb 2025 pat-jj/deepretrieval/code/data_preprocess/msmarco_sub.py f87645303568f144 unverified MIT (permissive)
Offline Reinforcement Learning as One Big Sequence Modeling Problem 3 Jun 2021 JannerM/trajectory-transformer/trajectory/search/utils.py 6dafa63552e84e1c unverified MIT (permissive)
arXiv:2025.findings-emnlp.1015 fzp0424/MT-R1-Zero/eval/vllm_inference.py b07f3a2cc8732222 unverified Apache-2.0 (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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