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run_and_read_all

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

run_and_read_all appears in the code Syntology harvested for 15 papers, as 2 distinct code bodies found in 15 places (a place is one code body under one paper). At least one of them ran in 9 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 run_and_read_all 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 1 of the 2 distinct code bodies named run_and_read_all; 1 is 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
1ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 15 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

15 papers shown of 15, newest first; 15 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
Learning how to Forget: Fine-tuning for Long-Context Sparse Attention added by Syntology 2026-08 (from id) vllm-project/vllm/vllm/collect_env.py 5ae630bfc3821b6e ran Apache-2.0 (permissive)
Threshold-Based Exclusive Batching for LLM Inference added by Syntology 2026-06 (from id) weifang231/eb-vllm/vllm/collect_env.py 5ae630bfc3821b6e ran Apache-2.0 (permissive)
SuperInfer: SLO-Aware Rotary Scheduling and Memory Management for LLM Inference on Superchips added by Syntology 2026-01 (from id) Supercomputing-System-AI-Lab/SuperInfer/collect_env.py 5ae630bfc3821b6e ran Apache-2.0 (permissive)
WarmServe: Enabling One-for-Many GPU Prewarming for Multi-LLM Serving added by Syntology 2025-12 (from id) LLMServe/WarmServe/vllm-0.6.3.post1/collect_env.py 5ae630bfc3821b6e ran Apache-2.0 (permissive)
SpectraFM: Tuning into Stellar Foundation Models 2024-11 (from id) NolanKoblischke/SpectraFM_NeurIPS_FM4Science/model_core/stellarperceptron/torch_utils_collect_env.py 84905132fbc263e3 unverified no licence file found · pointer only
LayerKV: Optimizing Large Language Model Serving with Layer-wise KV Cache Management 1 Oct 2024 intelligent-machine-learning/glake/GLakeServe/collect_env.py 5ae630bfc3821b6e ran Apache-2.0 (permissive)
SLCA++: Unleash the Power of Sequential Fine-tuning for Continual Learning with Pre-training 15 Aug 2024 gengdavid/slca/collect_env.py 84905132fbc263e3 unverified MIT (permissive)
SeaKR: Self-aware Knowledge Retrieval for Adaptive Retrieval Augmented Generation 27 Jun 2024 thu-keg/seakr/vllm_uncertainty/collect_env.py 5ae630bfc3821b6e ran GPL-3.0 (copyleft) · pointer only
CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion 26 May 2024 YaoJiayi/CacheBlend/vllm_blend/collect_env.py 5ae630bfc3821b6e ran no licence file found · pointer only
Weighted Ensemble Models Are Strong Continual Learners 14 Dec 2023 iemprog/cofima/collect_env.py 84905132fbc263e3 unverified no licence file found · pointer only
Efficient Memory Management for Large Language Model Serving with PagedAttention 12 Sep 2023 rasmith/vllm/vllm/collect_env.py 5ae630bfc3821b6e ran Apache-2.0 (permissive)
DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models 8 Feb 2022 j-min/dalleval/models/dalle_small/DALLE-pytorch/collect_env.py 84905132fbc263e3 unverified MIT (permissive)
CompilerGym: Robust, Performant Compiler Optimization Environments for AI Research 17 Sep 2021 facebookresearch/CompilerGym/build_tools/collect_env.py 84905132fbc263e3 unverified MIT (permissive)
Improving Deep Metric Learning by Divide and Conquer 9 Sep 2021 compvis/metric-learning-divide-and-conquer-improved/collect_env_info.py 84905132fbc263e3 unverified MIT (permissive)
arXiv:2025.emnlp-main.240 hku-netexplo-lab/QSpec/collect_env.py 5ae630bfc3821b6e ran 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