Paper Citation Record · LEDGER

Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.16801.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.16801 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:51:10.171306Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-01T09:55:40.537168Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 6b9ec67d-ec40-4990-9570-775af10691ae · inbound

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps cites this paper.

Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:51:10.171306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d4fc9f9-6de3-439a-8b2c-7d070d4674af · inbound

Improving Transformer World Models for Data-Efficient RL cites this paper.

Improving Transformer World Models for Data-Efficient RL Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-09T14:59:44.974594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15eedd0a-50c4-441b-9c42-3c4f5ae4790f · inbound

Large Language Models for Planning: A Comprehensive and Systematic Survey cites this paper.

Large Language Models for Planning: A Comprehensive and Systematic Survey Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 176

Resolution: unresolved; no resolver link, observed 2026-08-07T14:12:01.765334Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37532636-43af-4b52-8434-53dd47ee7afa · inbound

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models cites this paper.

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:03:29.905488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d54f2052-a4f1-4f94-88de-cc7103c26e2b · inbound

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks cites this paper.

Benchmarking Massively Parallelized Multi-Task Reinforcement Learning for Robotics Tasks Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T11:03:26.459024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19300ee0-d6a8-44ca-8883-8d31dc768faf · inbound

Automatic Generation of High-Performance RL Environments cites this paper.

Automatic Generation of High-Performance RL Environments Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:05:01.512848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b0106d4d-2eda-4aa5-8052-51fdcf72bcec · inbound

PACE: Parameter Change for Unsupervised Environment Design cites this paper.

PACE: Parameter Change for Unsupervised Environment Design Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:01:05.852398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 594bcf4e-35d3-4b08-a085-fc89d2ee4fc8 · inbound

stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation cites this paper.

stable-worldmodel: A Platform for Reproducible World Modeling Research and Evaluation Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:01:20.355840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 353680b2-3e63-4ecc-8717-d96e56ad961b · inbound

Diffusing Blame: Task-Dependent Credit Assignment in Biologically Plausible Dual-Stream Networks cites this paper.

Diffusing Blame: Task-Dependent Credit Assignment in Biologically Plausible Dual-Stream Networks Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:55:40.538793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 445e54d1-df97-4dd7-9041-7ee7213ad898 · inbound

DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat cites this paper.

DungeonBench: A Benchmark for Rules-Rich Tactical Reasoning in Dungeons & Dragons Combat Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T04:15:05.886907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.