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measure_time

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

measure_time appears in the code Syntology harvested for 7 papers, as 5 distinct code bodies found in 7 places (a place is one code body under one paper). At least one of them ran in 2 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 measure_time 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 5 distinct code bodies named measure_time; 4 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
1ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 7 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

7 papers shown of 7, newest first; 7 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
TABED: Test-Time Adaptive Ensemble Drafting for Robust Speculative Decoding in LVLMs added by Syntology 2026-01 (from id) furiosa-ai/TABED/tabed/modules/eval_specbench.py b15ba266145d6889 unverified MIT (permissive)
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective 22 Jun 2025 jianyu-cs/promptquine/promptquine/utils/core/logging.py 4d6a02f0ee1204aa unverified MIT (permissive)
ENACT: Entropy-based Clustering of Attention Input for Improving the Computational Performance of Object Detection Transformers 11 Sep 2024 gsavathrakis/enact/Anchor-DETR-ENACT/compute_speeds.py 60bb6b80d631b409 ran no licence file found · pointer only
Enhancing Monotonic Multihead Attention for Streaming ASR 19 May 2020 hirofumi0810/neural_sp/neural_sp/bin/train_utils.py a6dbc2c0648c0def unverified Apache-2.0 (permissive)
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications 20 Nov 2015 identical code first harvested elsewhere e043983f0912c3b4 unverified licence of this copy not recorded
Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition 19 Dec 2014 Graphiiz/low-rank-factorization/pretrained_main.py e043983f0912c3b4 unverified no licence file found · pointer only
arXiv:Liu_SAP-DETR_Bridging_the_Gap_Between_Salient_Points_and_Queries-Based_Transformer_CVPR_2023_paper liuyang-ict/SAP-DETR/compute_speeds.py 60bb6b80d631b409 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".

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