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jaccard_similarity

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

jaccard_similarity appears in the code Syntology harvested for 19 papers, as 17 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 12 of the papers; 7 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 jaccard_similarity 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 11 of the 17 distinct code bodies named jaccard_similarity; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
9ran
6unverified
7fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 19 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

19 papers shown of 19, newest first; 19 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 3 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
Toward Better Assessment of LLMs' Performance in Clinical Error Detection added by Syntology 2026-08 (from id) healthylaife/paired-clinical-eval/build_pairs.py f31a7f3584994961 ran · honoured contract fingerprinted MIT (permissive)
Quantifying Divergence in Inter-LLM Communication Through API Retrieval and Ranking added by Syntology 2026-04 (from id) aeris-lab/llmrank/aaai_lamas_study.ipynb.py 9ffccdf789b0e482 ran no licence file found · pointer only
Less Data, Faster Convergence: Goal-Driven Data Optimization for Multimodal Instruction Tuning added by Syntology 2026-03 (from id) rujiewu/GDO/gdo/extract_six_metrics.py cd6a7e9e2afeead9 ran · honoured contract fingerprinted MIT (permissive)
The Ideation-Execution Gap: Execution Outcomes of LLM-Generated versus Human Research Ideas 25 Jun 2025 NoviScl/AI-Researcher/ai_researcher/src/analyze_experiment_plans_semantic_similarity.py aa1065b49e195e70 unverified MIT (permissive)
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers 6 Sep 2024 simplaj/AI-Researcher-Spark/ai_researcher/src/analyze_experiment_plans_semantic_similarity.py aa1065b49e195e70 unverified MIT (permissive)
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations 30 May 2024 aigc-apps/PertEval/transition_analysis.py 9c137effe97e6ce1 ran Apache-2.0 (permissive)
The Mosaic Memory of Large Language Models 24 May 2024 computationalprivacy/mosaic_memory/src/gen_canaries.py 60ab76511145062d ran fingerprinted Apache-2.0 (permissive)
PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency 13 Mar 2024 zhshlii/petsql/src/sources/sql_gen/sql_gen_utils.py a1579e74824be11f ran fingerprinted no licence file found · pointer only
Unveiling Linguistic Regions in Large Language Models 22 Feb 2024 zzhang0179/Unveiling-Linguistic-Regions-in-LLMs/region_selection/extract_accumulated_core_linguistic_region.py 055c2b5ab3275ac2 ran Apache-2.0 (permissive)
Copyright Traps for Large Language Models 14 Feb 2024 computationalprivacy/copyright-traps/src/utils.py 4eef3bc43ceb9a6e ran fingerprinted Apache-2.0 (permissive)
ResumeFlow: An LLM-facilitated Pipeline for Personalized Resume Generation and Refinement 9 Feb 2024 Ztrimus/job-llm/zlm/utils/metrics.py 78dddf7fab0bf963 unverified MIT (permissive)
ShaRP: A Novel Feature Importance Framework for Ranking 30 Jan 2024 dataresponsibly/sharp/sharp/metrics/_base.py 9363f8db4167743d ran fingerprinted MIT (permissive)
Better to Ask in English: Cross-Lingual Evaluation of Large Language Models for Healthcare Queries 19 Oct 2023 claws-lab/XLingEval/consistency/consistency_answer_evaluation.py 9a52e4e9f92b3c06 ran fingerprinted Apache-2.0 (permissive)
CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion 17 Oct 2023 amazon-science/cceval/prompt_builder/rerank_utils.py ae5ed04d466c8051 ran Apache-2.0 (permissive)
WikiChat: Stopping the Hallucination of Large Language Model Chatbots by Few-Shot Grounding on Wikipedia 23 May 2023 stanford-oval/wikichat/pipelines/dialogue_state.py 34a2e796a199d00d unverified Apache-2.0 (permissive)
Fairness in Graph Mining: A Survey 21 Apr 2022 yushundong/pygdebias/pygdebias/debiasing/GUIDE.py 917ebaecb4caaf74 unverified BSD-2-Clause (permissive)
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs 26 Nov 2021 peterbhase/slag-belief-updating/metrics.py f4cecdbe8b090444 unverified MIT (permissive)
DLIME: A Deterministic Local Interpretable Model-Agnostic Explanations Approach for Computer-Aided Diagnosis Systems 24 Jun 2019 rehmanzafar/dlime_experiments/experiments_bc_nn.py 9a52e4e9f92b3c06 ran fingerprinted MIT (permissive)
arXiv:2022.findings-naacl.156 MJ-Jang/beyond-distributional/src/metrics/eval_metrics.py c3fb804a84a0ac5b unverified BSD-2-Clause (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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