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compute_stats

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

compute_stats appears in the code Syntology harvested for 23 papers, as 25 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 11 of the papers; 6 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 compute_stats 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 13 of the 25 distinct code bodies named compute_stats; 12 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
11ran
12unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 25 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

23 papers shown of 23, newest first; 25 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 8 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
RecHarness: A Bandit-Routed Agentic Harness for Self-Evolving Recommender Systems added by Syntology 2026-07 (from id) 6lyc/RecHarness/gagc/compute_dataset_stats.py d15a8c4ff432eb9f ran fingerprinted MIT (permissive)
Resolving superposition in AI for interpretability and cross-modal alignment in patient-neuronal images added by Syntology 2026-06 (from id) jijihihi/Bio_superposition/cell_death/plot_layer_comparison.py d46bef08373afcbf ran no licence file found · pointer only
Environment-Grounded Automated Prompt Optimization for LLM Game Agents added by Syntology 2026-06 (from id) ReanFernandes/rapoa/final_paper_plotting/plot_efficiency.py 1f95bfbc3874ee2f ran no licence file found · pointer only
A Geometric Analysis of Sign-Magnitude Asymmetry in a ReLU + RMSNorm Block under Ternary Quantization added by Syntology 2026-05 (from id) donglei628/sign-magnitude-pre-norm/experiments/exp5_multilayer_toy.py e31e075089fb7349 ran fingerprinted MIT (permissive)
A Geometric Analysis of Sign-Magnitude Asymmetry in a ReLU + RMSNorm Block under Ternary Quantization added by Syntology 2026-05 (from id) donglei628/sign-magnitude-pre-norm/experiments/exp5_trained_weights.py e1546806333b4018 ran fingerprinted MIT (permissive)
A Geometric Analysis of Sign-Magnitude Asymmetry in a ReLU + RMSNorm Block under Ternary Quantization added by Syntology 2026-05 (from id) donglei628/sign-magnitude-pre-norm/experiments/verify_theorem3.py aa5f1ef94374f662 ran fingerprinted MIT (permissive)
Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges added by Syntology 2026-02 (from id) ZDCSlab/Rubrics-as-an-Attack-Surface/downstream_eval/eval/analyze.py 1db28a5ee819cd01 unverified MIT (permissive)
SoK: Enhancing Cryptographic Collaborative Learning with Differential Privacy added by Syntology 2026-01 (from id) SAP/sok-cpcl/mpc_noise_sampling/utils/stats.py 5c4c487d8bdcc150 unverified Apache-2.0 (permissive)
WhAM: Towards A Translative Model of Sperm Whale Vocalization added by Syntology 2025-12 (from id) Project-CETI/wham/wham/generation/eval/calculate_custom_fad.py 281ee52c47284fc3 unverified MIT (permissive)
BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models added by Syntology 2025-10 (from id) thierry123454/tool-selection-bias/5_bias_investigation/analyze_features/calc_stats_feats.py 93a14e5a9ccc1a74 unverified no licence file found · pointer only
arXiv:2505.20840 2025-05 (from id) dooho00/agg-buffer/evaluate/summarize.py 71d0761cc36eaffa unverified Apache-2.0 (permissive)
RWKV-X: A Linear Complexity Hybrid Language Model 30 Apr 2025 howard-hou/rwkv-x/probing/headwise_memory_loss.py 847084be6c83567e unverified MIT (permissive)
An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks 7 Feb 2025 ailabdsunipi/pymarlzooplus/pymarlzooplus/utils/latex_table_algo_scores.py 2714889fe87919b6 unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Image and Video Tokenization with Binary Spherical Quantization 11 Jun 2024 zhaoyue-zephyrus/bsq-vit/transcoder/evaluations/fvd/fvd_score.py 4d85e9c25e578ed4 ran fingerprinted MIT (permissive)
A Study of Plasticity Loss in On-Policy Deep Reinforcement Learning 29 May 2024 awjuliani/deep-rl-plasticity/shared/runner.py da95062042edd8e1 ran no licence file found · pointer only
InfiBench: Evaluating the Question-Answering Capabilities of Code Large Language Models 11 Mar 2024 infi-coder/infibench-evaluator/print_result_stat.py 7e87191326ef834d unverified Apache-2.0 (permissive)
Learning Robust Precipitation Forecaster by Temporal Frame Interpolation 30 Nov 2023 secilia-cxy/unettfi/utils/viz.py 5e475c7798c7db59 ran licence not identified · pointer only
State-Action Similarity-Based Representations for Off-Policy Evaluation 27 Oct 2023 Badger-RL/ROPE/plot.py 55e3bac9d0c163ae ran no licence file found · pointer only
Deep learning for dynamic graphs: models and benchmarks 12 Jul 2023 gravins/dynamic_graph_benchmark/C-TDG/utils.py bfee47aeed2edc65 ran no licence file found · pointer only
VIDM: Video Implicit Diffusion Models 1 Dec 2022 MKFMIKU/VIDM/scripts/evaluate_FVD.py 9fd12f0506b5fa97 ran · our draft was wrong fingerprinted MIT (permissive)
Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision 29 Jun 2022 berkeleyautomation/ifl_benchmark/plotting/process_logs.py e7f63143a253f9c6 unverified MIT (permissive)
What Makes Transfer Learning Work For Medical Images: Feature Reuse & Other Factors 2 Mar 2022 ChrisMats/feature-reuse/utils/_utils.py 754f4b14895eba35 unverified MIT (permissive)
Adding Seemingly Uninformative Labels Helps in Low Data Regimes 20 Jul 2020 ChrisMats/seemingly_uninformative_labels/src/datasets.py 609ec954fdc04228 unverified MIT (permissive)
FACT: A Diagnostic for Group Fairness Trade-offs 7 Apr 2020 wnstlr/fact/FACT/fairness.py 86a3413b79c196ba ran · our draft was wrong MIT (permissive)
Sherlock: A Deep Learning Approach to Semantic Data Type Detection 25 May 2019 mitmedialab/sherlock-project/sherlock/features/stats_helper.py 6cc16f28f1f61667 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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