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serialize

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

serialize appears in the code Syntology harvested for 19 papers, as 18 distinct code bodies found in 19 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 serialize 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 7 of the 18 distinct code bodies named serialize; 11 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
5ran
11unverified
0fingerprinted

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

19 papers shown of 19, 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 4 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
GPU Forecasters: Language Models as Selective Surrogates for Kernel Runtime Optimization added by Syntology 2026-05 (from id) gpu-mode/kernelbot/src/kernelbot/cogs/admin_cog.py b14e84f4b6493413 ran licence not identified · pointer only
Agents that Matter: Optimizing Multi-Agent LLMs via Removal-Based Attribution added by Syntology 2026-05 (from id) ybkim95/agent-scaling/agent_scaling/logger.py 5bce9e2e8490b090 ran MIT (permissive)
Eliciting Numerical Predictive Distributions of LLMs Without Autoregression added by Syntology 2026-03 (from id) kasia-kobalczyk/guess_llm/src/guess_llm/llm_utils/llm_no_scaling.py 2b7966b3ab732fd3 unverified licence not identified · pointer only
AdaptBPE: From General Purpose to Specialized Tokenizers added by Syntology 2026-01 (from id) vijini/Adapt-BPE/apply_merges_with_true_counts.py 6dcf170f38f4cd97 ran · our draft was wrong no licence file found · pointer only
RADAR: Benchmarking Language Models on Imperfect Tabular Data 9 Jun 2025 kenqgu/radar/radar/logger.py 5bce9e2e8490b090 ran Apache-2.0 (permissive)
SAGA: A Security Architecture for Governing AI Agentic Systems 27 Apr 2025 gsiros/saga/saga/agent.py cb05405286e7bc8c unverified Apache-2.0 (permissive)
LLM-FE: Automated Feature Engineering for Tabular Data with LLMs as Evolutionary Optimizers 18 Mar 2025 nikhilsab/llmfe/utils.py 4d9bef27ef967fbe unverified MIT (permissive)
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular Learning 15 Apr 2024 sungwon-han/featllm/utils.py 36cfd9635b49c74a ran · our draft was wrong no licence file found · pointer only
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments 22 Feb 2024 OSU-NLP-Group/Middleware/src/utils.py 22a1fe0dc1bdac57 ran no licence file found · pointer only
AgentBench: Evaluating LLMs as Agents 7 Aug 2023 THUDM/AgentBench/src/utils/others.py 02ff76b8a757ac06 ran Apache-2.0 (permissive)
FocalClick: Towards Practical Interactive Image Segmentation 6 Apr 2022 XavierCHEN34/ClickSEG/isegm/model/is_hrnet_model.py a4cd31544f3ea2b5 ran Apache-2.0 (permissive)
Online Balanced Experimental Design 2022-03 (from id) ddimmery/balancer-package/src/bwd/serialization.py 82a33e621de5d9a7 unverified Apache-2.0 (permissive)
Locally Typical Sampling 1 Feb 2022 HomebrewNLP/HomebrewNLP-Jax/src/context.py 417d7c14445e03e0 unverified BSD-2-Clause (permissive)
RoBERTuito: a pre-trained language model for social media text in Spanish 18 Nov 2021 pysentimiento/robertuito/finetune_vs_scratch/context_hate.py 6bd359037885bc59 unverified MIT (permissive)
Epistemic Neural Networks 19 Jul 2021 google-deepmind/enn/enn/loggers.py 73a9d7f8f0ed39a0 unverified Apache-2.0 (permissive)
TF-Coder: Program Synthesis for Tensor Manipulations 19 Mar 2020 google-research/tensorflow-coder/tf_coder_colab_logging/serialization.py 6363dbc5c6d4760f unverified Apache-2.0 (permissive)
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots 6 Dec 2016 yangliuy/NeuralResponseRanking/matchzoo/losses/rank_losses.py 3d063b0c90233541 unverified MIT (permissive)
Learning language through pictures 11 Jun 2015 gchrupala/imaginet/utils.py 2e2dbf986438cf7a unverified MIT (permissive)
arXiv:2024.findings-emnlp.815 behavioral-data/BLADE/blade_bench/logger.py 8daabb19cdef1e76 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".

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