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rl-method-tracker

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reinforcement-learning
llm
post-training
rlhf
open-source-software
mining-software-repositories
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rl-method-tracker / README.md
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metadata 
license: cc-by-4.0
pretty_name: RL Method Tracker
language:
  - en
size_categories:
  - 1K<n<10K
tags:
  - reinforcement-learning
  - llm
  - post-training
  - rlhf
  - open-source-software
  - mining-software-repositories
configs:
  - config_name: papers
    data_files: papers.parquet
    default: true
  - config_name: methods
    data_files: methods.parquet
  - config_name: landings
    data_files: landings.parquet
  - config_name: proposals
    data_files: proposals.parquet

RL Method Tracker

Which RL post-training methods for language models reached seven open-source training frameworks (verl, TRL, OpenRLHF, NeMo-RL, ROLL, slime, AReaL), when they landed, and how each framework offers them. Of 1,598 arXiv papers from January 2025 to June 2026 that propose a general RL training method, 37 reached the main branch of at least one framework.

This is the frozen v1.0 data behind the report, with framework histories up to the 2026-10-18 snapshot. The GitHub repository refreshes the framework histories every week.

Load 

from datasets import load_dataset

papers = load_dataset("Purdy0228/rl-method-tracker", "papers", split="train")
methods = load_dataset("Purdy0228/rl-method-tracker", "methods", split="train")

Subsets

Subset Rows One row per
papers 6,939 screened arXiv paper on RL for language models
methods 65 method in the catalog, with its first landing in each framework
landings 101 first commit that put a method on a framework's main branch
proposals 48 public proposal for a general method that no framework included

papers

  • arxiv, title, month: arXiv id, title and month of the first version.
  • label: what the paper contributes. rl_method, rl_application, analysis, systems, distillation, preference_offline or other.
  • scope: for RL methods, general when the method is the paper's main contribution and embedded when it sits inside a paper about a task, domain, agent or application.
  • component: the part of training the method changes, such as advantage, clipping, sampling or entropy.
  • label_confidence: high, medium or low.
  • is_model_report: the paper is the technical report of a model.
  • general_method: the paper counts toward the 1,598 general methods.
  • included: the paper's method reached the main branch of at least one framework.
  • methods: catalog ids of the included methods the paper introduces.
  • n_frameworks_ever, n_frameworks_at_snapshot: frameworks that ever included the method, and those that still include it at the snapshot.

methods

  • id, name, family, arxiv, source_date: the method and its first public source.
  • n_fw_ever, n_fw_head, n_default: frameworks that ever included it, that include it at the snapshot, and that turn it on by default.
  • first_adoption, first_lag_days, first_lag_is_upper_bound: date of the first landing in any framework and the days from the source to it. The lag is an upper bound when that first landing arrived with a repository's initial commit or a bulk release.
  • n_self_contributed: frameworks whose landing commit came from an author of the paper.
  • <framework>_first: date of the first landing in that framework.
  • <framework>_head: tier at the snapshot. default is on in a run that keeps every setting. conditional_default is on once a related feature is enabled. core is a selectable algorithm in the main code path. option is a switch that modifies the main algorithm. experimental and recipe sit outside the main path.

landings

  • method, framework, date, pr, tier: the landing and the pull request that made it.
  • first_in_any: this framework was the first to include the method.
  • form: how the method changes training, as coefficient, term or pipeline.
  • commit_author_relation: whether the landing commit came from an author of the paper.
  • prior_request: an issue or pull request asked for the method before it landed.
  • pr_author, merged_by, author_prior_merger, self_merged, human_reviewers: who proposed and merged the pull request. A prior merger had merged a pull request in the framework before.
  • days_open, core_lines, files, lines, tests, docs, deps, new_files: size and contents of the change.

proposals

  • arxiv, method, framework, type, number: the proposal, as a pull request (pr) or a request in an issue or discussion (request).
  • outcome: open_no_reply, open_engaged, declined, redirected, stale_cleanup, closed_inactive, closed_no_comment or withdrawn.
  • reasons: concerns the maintainers stated, such as demand, surface, placement or evidence.
  • quote: one short quote from the thread as evidence for the code.

Thread texts stay on GitHub. The labelling rules and coding guides are in the repository.

Citation 

@misc{pan2026rlframeworks,
  title         = {From {RL} Papers to Framework Code: Inclusion and Review in Seven Open-Source Training Frameworks},
  author        = {Pan, Taiheng},
  year          = {2026},
  eprint        = {2610.28027},
  archivePrefix = {arXiv},
  primaryClass  = {cs.LG},
  doi           = {10.48550/arXiv.2610.28027},
  url           = {https://arxiv.org/abs/2610.28027}
}

License

CC BY 4.0. arXiv titles come from arXiv metadata.