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tokenize_fn

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

tokenize_fn appears in the code Syntology harvested for 9 papers, as 6 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 4 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 tokenize_fn 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 2 of the 6 distinct code bodies named tokenize_fn; 4 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
1ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 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

9 papers shown of 9, 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
CARFT: Boosting LLM Reasoning via Contrastive Learning with Annotated Chain-of-Thought-based Reinforced Fine-Tuning added by Syntology 2025-08 (from id) WNQzhu/CARFT/code/mwp_ReFT/sampling.py 951fe709737c50b9 unverified no licence file found · pointer only
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention 16 Feb 2025 microsoft/seerattention/distillation_decode.py 3ef366d8b91a362a unverified MIT (permissive)
Native Sparse Attention: Hardware-Aligned and Natively Trainable Sparse Attention 16 Feb 2025 microsoft/seerattention/distillation_prefill.py f9963e3bc9860eda unverified MIT (permissive)
A Controlled Study on Long Context Extension and Generalization in LLMs 18 Sep 2024 leooyii/lceg/continuous_finetuning/fine-tune.py ad4c52b7c7083143 ran · our draft was wrong no licence file found · pointer only
MemLong: Memory-Augmented Retrieval for Long Text Modeling 30 Aug 2024 bui1dmysea/memlong/eval/language_modeling/MemLong/utils.py c78930a2d9e9be54 ran no licence file found · pointer only
ReFT: Representation Finetuning for Language Models 4 Apr 2024 lqtrung1998/mwp_reft/sampling.py 951fe709737c50b9 unverified Apache-2.0 (permissive)
Time Series Forecasting with LLMs: Understanding and Enhancing Model Capabilities 16 Feb 2024 mingyuj666/time-series-forecasting-with-llms/models/gpt.py 0974c070244bffa0 unverified no licence file found · pointer only
ReFT: Reasoning with Reinforced Fine-Tuning 17 Jan 2024 lqtrung1998/mwp_ReFT/sampling.py 951fe709737c50b9 unverified Apache-2.0 (permissive)
LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models 21 Sep 2023 dexter-gt-86/sinklora/fine-tune.py ad4c52b7c7083143 ran · our draft was wrong Apache-2.0 (permissive)
arXiv:aaai_34662 maxindian/3D-RPE-Long-Contex-Modeling/fine-tune-cpe-llm.py ad4c52b7c7083143 ran · our draft was wrong 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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