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read_problems

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

read_problems appears in the code Syntology harvested for 17 papers, as 12 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 8 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 read_problems 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 8 of the 12 distinct code bodies named read_problems; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
7ran
4unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 18 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; 18 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 5 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
TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization added by Syntology 2026-06 (from id) NKU-LITI/TARPO-master/humanevaleval.py e289de48f4ad6a1e ran no licence file found · pointer only
GraphPlanner: Graph Memory-Augmented Agentic Routing for Multi-Agent LLMs added by Syntology 2026-04 (from id) ulab-uiuc/GraphPlanner/router_planner/shared/evaluation/human_eval/data.py 16c6b5cd0ca7e8e3 ran no licence file found · pointer only
CODESPECBENCH: Benchmarking LLMs for Executable Behavioral Specification Generation added by Syntology 2026-04 (from id) SparksofAGI/CodeSpecBench/CodeSpecBench-Func/spec-verifier/evaluation.py 1e2d6367f1b86235 ran · our draft was wrong no licence file found · pointer only
On Representation Redundancy in Large-Scale Instruction Tuning Data Selection added by Syntology 2026-02 (from id) tdano1/CRDS/main/eval/codex_humaneval/data.py 776a712a353130e7 unverified Apache-2.0 (permissive)
CPMöbius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning added by Syntology 2026-02 (from id) thunlp/CPMobius/evaluation/utils/data.py 562c0ef13357b53b unverified Apache-2.0 (permissive)
Process Reinforcement through Implicit Rewards 3 Feb 2025 prime-rl/prime/eval/utils/data.py 562c0ef13357b53b unverified Apache-2.0 (permissive)
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation 2 Jul 2024 luke-avionics/mg-verilog/verilog_eval/verilog_eval/data.py c06721d357c61091 ran MIT (permissive)
Advancing LLM Reasoning Generalists with Preference Trees 2 Apr 2024 openbmb/eurus/eval/utils/data.py 2a1cf35aaf759bca ran Apache-2.0 (permissive)
Advancing LLM Reasoning Generalists with Preference Trees 2 Apr 2024 openbmb/eurus/eval/Coding/leetcode/data.py 776a712a353130e7 unverified Apache-2.0 (permissive)
HumanEval on Latest GPT Models -- 2024 20 Feb 2024 daniel442li/gpt-human-eval/human_eval/data.py 776a712a353130e7 unverified MIT (permissive)
Scaling Sparse Fine-Tuning to Large Language Models 29 Jan 2024 ducdauge/sft-llm/eval/codex_humaneval/data.py 776a712a353130e7 unverified MIT (permissive)
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence 25 Jan 2024 deepseek-ai/DeepSeek-Coder/Evaluation/HumanEval/human_eval/data.py 21359df82e68e215 ran MIT (permissive)
Tuning Language Models by Proxy 16 Jan 2024 alisawuffles/proxy-tuning/eval/codex_humaneval/data.py 776a712a353130e7 unverified no licence file found · pointer only
OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models 12 Jan 2024 alphadl/oop-eval/oop_evaluate/data.py 16310fe23c55a895 ran no licence file found · pointer only
InstructCoder: Instruction Tuning Large Language Models for Code Editing 31 Oct 2023 qishenghu/CodeInstruct/edit_eval/data.py 776a712a353130e7 unverified MIT (permissive)
Lemur: Harmonizing Natural Language and Code for Language Agents 10 Oct 2023 OpenLemur/Lemur/xchat/eval/mbpp/data.py 1cf1721a0bcb876e ran Apache-2.0 (permissive)
Efficient Training of Language Models to Fill in the Middle 28 Jul 2022 openai/human-eval-infilling/human_eval_infilling/data.py c3e6a38615ffe825 unverified MIT (permissive)
Evaluating Large Language Models Trained on Code 7 Jul 2021 2796gaurav/human-eval/human_eval/data.py d3d6eed5a7c21746 unverified MIT recorded; this copy not marked cleared · pointer only

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