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Task

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

Task appears in the code Syntology harvested for 17 papers, as 17 distinct code bodies found in 17 places (a place is one code body under one paper). At least one of them ran in 9 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 Task 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 9 of the 17 distinct code bodies named Task; 8 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
9ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 17 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; 17 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 4 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
WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing added by Syntology 2026-07 (from id) haolpku/WorkSurface-Bench/worksurface/derive_tasks.py 50555611ef7241a5 unverified Apache-2.0 (permissive)
Evaluating Frontier AI Agents as Autonomous Clinical Security Auditors added by Syntology 2026-07 (from id) MichaelEnny/clinical-ai-security-eval/task/clinical_ai_security_eval.py 2e1dd7706773f279 ran MIT (permissive)
Escaping the Self-Confirmation Trap: An Execute-Distill-Verify Paradigm for Agentic Experience Learning added by Syntology 2026-06 (from id) shidingz/EDV/src/edv/pipeline.py 7e6bf386dea53a1e ran MIT (permissive)
Decentralized Task Scheduling in Distributed Systems: A Deep Reinforcement Learning Approach added by Syntology 2026-03 (from id) danielbenniah/marl-distributed-scheduling/marl_scheduler.py b22560173dde05bc ran no licence file found · pointer only
Polynomial Regression as a Task for Understanding In-context Learning Through Finetuning and Alignment 27 Jul 2024 dtsip/in-context-learning/src/tasks.py 3e016983bf585f29 unverified MIT (permissive)
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay 7 Feb 2024 Qualcomm-AI-research/codeit/codeit/augment/genetic.py 3215558dec21b76e ran BSD-3-Clause-Clear · pointer only
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers 23 Oct 2023 benlipkin/linc/eval/tasks/folio.py ed34cd2d0c6826c0 unverified no licence file found · pointer only
Lemur: Integrating Large Language Models in Automated Program Verification 7 Oct 2023 wu-haoze/lemur-program-verification/lemur/src/verifier.py 45188c4494249615 ran no licence file found · pointer only
TempCLR: Temporal Alignment Representation with Contrastive Learning 28 Dec 2022 yyuncong/tempclr/tempclr/tasks/alignlocaltask.py 8e1461d6cc228441 unverified MIT (permissive)
ReAct: Synergizing Reasoning and Acting in Language Models 6 Oct 2022 sierra-research/tau-bench/tau_bench/agents/chat_react_agent.py c6504ae4ebf5bcab unverified MIT (permissive)
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks 16 Apr 2022 zhaochenyang20/Prompt2Model-Self-Guide/self-guide/utils/tasks.py 588da051624b9d01 ran Apache-2.0 (permissive)
ZS4IE: A toolkit for Zero-Shot Information Extraction with simple Verbalizations 25 Mar 2022 osainz59/Ask2Transformers/a2t/tasks/base.py c9033c25890f4270 unverified Apache-2.0 (permissive)
Hyperparameter Optimization Is Deceiving Us, and How to Stop It 5 Feb 2021 pasta41/deception/src/utils/utils.py 1203fb727028792b unverified no licence file found · pointer only
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models 4 Mar 2020 nyu-mll/jiant/jiant/proj/main/modeling/primary.py 3cc8da16c18465bd ran MIT (permissive)
Meta-Learning with Implicit Gradients 10 Sep 2019 spiglerg/pyMeta/pyMeta/metalearners/implicit_maml.py ca574f805c91d123 unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 ABaldrati/MT-BERT/model.py 539b7f6e38fc9786 ran no licence file found · pointer only
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 9 Mar 2017 MaximeVandegar/Papers-in-100-Lines-of-Code/Model_Agnostic_Meta_Learning_for_Fast_Adaptation_of_Deep_Networks/maml.py ec0fb012c0b639eb ran 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