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calculate_metric

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

calculate_metric appears in the code Syntology harvested for 17 papers, as 9 distinct code bodies found in 20 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 calculate_metric 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 4 of the 9 distinct code bodies named calculate_metric; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
3ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 11 of the 20 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

17 papers shown of 17, newest first; 20 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 2 papers added by Syntology. 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
Powering Up Zeroth-Order Training via Subspace Gradient Orthogonalization added by Syntology 2026-02 (from id) OPTML-Group/ZO-Muon/llm/metrics.py 84c658f2c9252878 unverified MIT (permissive)
InstantEdit: Text-Guided Few-Step Image Editing with Piecewise Rectified Flow added by Syntology 2025-08 (from id) Supercomputing-System-AI-Lab/InstantEdit/pie_evaluator/evaluate.py 608cb84fa52efd4c unverified no licence file found · pointer only
Fine-tuning Quantized Neural Networks with Zeroth-order Optimization 19 May 2025 maifoundations/qzo/large_language_models/metrics.py 84c658f2c9252878 unverified MIT (permissive)
TimeSeriesExam: A time series understanding exam 18 Oct 2024 moment-timeseries-foundation-model/timeseriesexam/evaluate/evaluate.py 9c78b96d660e383f ran · honoured contract MIT (permissive)
Zeroth-Order Fine-Tuning of LLMs in Random Subspaces 11 Oct 2024 zimingyy/subzero/large_models/metrics.py 84c658f2c9252878 unverified GPL-3.0 (copyleft) · pointer only
C-LLM: Learn to Check Chinese Spelling Errors Character by Character 24 Jun 2024 ktlKTL/C-LLM/calcuate_metric.py 2ad6711456139fd1 ran no licence file found · pointer only
QuanTA: Efficient High-Rank Fine-Tuning of LLMs with Quantum-Informed Tensor Adaptation 31 May 2024 quanta-fine-tuning/quanta/run/utils/metrics.py add335e0714d42b3 ran Apache-2.0 (permissive)
Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training 9 Apr 2024 xiemk/mlc-pat/run_PAT-I.py c1a4354520c04ab6 ran no licence file found · pointer only
Finding Visual Task Vectors 8 Apr 2024 alhojel/visual_task_vectors/evaluate/evaluate_colorization.py 764136a5eff74434 unverified no licence file found · pointer only
Finding Visual Task Vectors 8 Apr 2024 alhojel/visual_task_vectors/evaluate/evaluate_reasoning.py 69532fa60013e9f4 unverified no licence file found · pointer only
Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark 18 Feb 2024 zo-bench/zo-llm/zo-bench/metrics.py 84c658f2c9252878 unverified GPL-3.0 (copyleft) · pointer only
LoRETTA: Low-Rank Economic Tensor-Train Adaptation for Ultra-Low-Parameter Fine-Tuning of Large Language Models 18 Feb 2024 yifanycc/loretta/bert_model/metrics.py 84c658f2c9252878 unverified GPL-3.0 (copyleft) · pointer only
ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-order Optimization 23 Dec 2023 mathisall/zo-adamu/metrics.py 84c658f2c9252878 unverified no licence file found · pointer only
Instruct Me More! Random Prompting for Visual In-Context Learning 7 Nov 2023 jackieam/inmemo/evaluate/evaluate_colorization.py 764136a5eff74434 unverified no licence file found · pointer only
Instruct Me More! Random Prompting for Visual In-Context Learning 7 Nov 2023 jackieam/inmemo/evaluate/evaluate_reasoning.py 69532fa60013e9f4 unverified no licence file found · pointer only
DPZero: Private Fine-Tuning of Language Models without Backpropagation 14 Oct 2023 Liang137/DPZero/opt/src/metrics.py 84c658f2c9252878 unverified MIT (permissive)
Fine-Tuning Language Models with Just Forward Passes 27 May 2023 princeton-nlp/mezo/large_models/metrics.py 84c658f2c9252878 unverified MIT (permissive)
What Makes Good Examples for Visual In-Context Learning? 31 Jan 2023 zhangyuanhan-ai/visual_prompt_retrieval/evaluate/evaluate_colorization.py 764136a5eff74434 unverified CC0-1.0 (permissive)
What Makes Good Examples for Visual In-Context Learning? 31 Jan 2023 zhangyuanhan-ai/visual_prompt_retrieval/evaluate/evaluate_reasoning.py 69532fa60013e9f4 unverified CC0-1.0 (permissive)
FinBERT-MRC: financial named entity recognition using BERT under the machine reading comprehension paradigm 31 May 2022 zyz0000/finbert-mrc/utils/evaluator.py 6f736eb737268aa4 unverified MIT (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