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eval_metrics

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

eval_metrics appears in the code Syntology harvested for 11 papers, as 11 distinct code bodies found in 13 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 eval_metrics 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 11 distinct code bodies named eval_metrics; 9 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
2ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 13 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

11 papers shown of 11, newest first; 13 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; 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
RAD: Rule-Augmented Relational Anomaly Detection added by Syntology 2026-08 (from id) noahd15/RAD_RelationalAnomalyDetection/lanl/run_lanl_tabular_baselines.py 7411ecbefbeea8c3 ran no licence file found · pointer only
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs added by Syntology 2025-10 (from id) gxx27/time_unlearn/counterfactual/metrics.py 7743c1acf603d26a unverified Apache-2.0 (permissive)
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs added by Syntology 2025-10 (from id) gxx27/time_unlearn/factual/metrics.py 1737b4f7160a815c unverified Apache-2.0 (permissive)
Can Prompts Rewind Time for LLMs? Evaluating the Effectiveness of Prompted Knowledge Cutoffs added by Syntology 2025-10 (from id) gxx27/time_unlearn/semantic/metrics.py 7aba4c8d2b8d5efd unverified Apache-2.0 (permissive)
Benchmarking Distributional Alignment of Large Language Models 8 Nov 2024 nicolemeister/benchmarking-distributional-alignment/eval_utils.py 1bd55b35c9b4ee4f unverified no licence file found · pointer only
Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken 10 Jul 2024 laprf/DSTC/utils.py 3bbee3fdbaa9a49c ran MIT (permissive)
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension 6 Mar 2024 liuquan98/eyoc/lib/metrics.py 876a2cfd6cb4e088 unverified MIT (permissive)
APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction 4 May 2023 liuQuan98/APR/FCGF_APR/lib/metrics.py 876a2cfd6cb4e088 unverified MIT (permissive)
BinsFormer: Revisiting Adaptive Bins for Monocular Depth Estimation 3 Apr 2022 zhyever/monocular-depth-estimation-toolbox/depth/core/evaluation/metrics.py 568cbdbe2a7718a3 unverified Apache-2.0 (permissive)
Combining Events and Frames using Recurrent Asynchronous Multimodal Networks for Monocular Depth Prediction 18 Feb 2021 uzh-rpg/rpg_ramnet/RAM_Net/evaluation.py afac895121a47138 unverified GPL-3.0 (copyleft) · pointer only
Deep Global Registration 24 Apr 2020 chrischoy/FCGF/lib/metrics.py 876a2cfd6cb4e088 unverified MIT (permissive)
Automating Botnet Detection with Graph Neural Networks 13 Mar 2020 harvardnlp/botnet-detection/botdet/eval/evaluation.py 6222330713f8e774 unverified MIT (permissive)
arXiv:Seidenschwarz_Simple_Cues_Lead_to_a_Strong_Multi-Object_Tracker_CVPR_2023_paper dvl-tum/GHOST/src/utils.py 6e2e8574e5d7c4ae 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".

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