Paper Citation Record · LEDGER

Solving Rubik's Cube Without Tricky Sampling

As of 22 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2411.19583.

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

pith.paper-citation-record.v1
2411.19583 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:05:56.438484Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

verified exact1
verified fuzzy9
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 17ac68ac-f07b-4bad-aaf7-f096870eabda · outbound

This paper cites Towards learning rubik’s cube with n-tuple-based reinforcement learning, 2023.

Solving Rubik's Cube Without Tricky Sampling Towards learning rubik’s cube with n-tuple-based reinforcement learning, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:05:57.082592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7cdbb064-fcd8-4b36-8fb2-3704b41aa985 · outbound

This paper cites Solving the rubik’s cube with deep reinforcement learning and search.

Solving Rubik's Cube Without Tricky Sampling Solving the rubik’s cube with deep reinforcement learning and search

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:05:57.045222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1059a4e3-31a4-492d-b3ed-36783c38e210 · outbound

This paper cites Solving the rubik’s cube with approximate policy iteration.

Solving Rubik's Cube Without Tricky Sampling Solving the rubik’s cube with approximate policy iteration

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:05:57.017693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8906dfd2-bd7c-46f0-b2af-6252886c686f · outbound

This paper cites Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning.

Solving Rubik's Cube Without Tricky Sampling Revisiting Sparse Rewards for Goal-Reaching Reinforcement Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T10:05:56.312431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66ef88f1-1606-4cf7-a9a0-47ebec86de2b · outbound

This paper cites Learning by Playing - Solving Sparse Reward Tasks from Scratch.

Solving Rubik's Cube Without Tricky Sampling Learning by Playing - Solving Sparse Reward Tasks from Scratch

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T10:05:56.321215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 486a708c-6c63-4e84-9434-e66184847831 · outbound

This paper cites Hindsight Experience Replay.

Solving Rubik's Cube Without Tricky Sampling Hindsight Experience Replay

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-12T10:05:56.333776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9a51eb6-48c9-4bf7-bde2-9ce3743493c7 · outbound

This paper cites The diameter of the rubik’s cube group is twenty.

Solving Rubik's Cube Without Tricky Sampling The diameter of the rubik’s cube group is twenty

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:05:56.985746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 893c86c9-a8fa-472d-9dfe-ef1f9d3cf440 · outbound

This paper cites Bertsekas and J.N.

Solving Rubik's Cube Without Tricky Sampling Bertsekas and J.N

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:05:56.925043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4cdd9ee4-96c5-41ed-92fb-1e57f57f9658 · outbound

This paper cites Bagnell, Sham M Kakade, Jeff Schneider, and Andrew Ng.

Solving Rubik's Cube Without Tricky Sampling Bagnell, Sham M Kakade, Jeff Schneider, and Andrew Ng

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:05:56.892354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b53f6f67-b767-4b9d-b699-83e89597aca7 · outbound

This paper cites Kakade and John Langford.

Solving Rubik's Cube Without Tricky Sampling Kakade and John Langford

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:05:56.859241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ddd0cd6-2473-475f-97b8-e5212880ae5f · outbound

This paper cites Approximate Policy Iteration Schemes: A Comparison.

Solving Rubik's Cube Without Tricky Sampling Approximate Policy Iteration Schemes: A Comparison

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-12T10:05:56.593774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0b3c3f13-8455-4ca7-98e9-174bb4a8d77b · outbound

This paper cites Analysis of classification-based policy iteration algorithms.

Solving Rubik's Cube Without Tricky Sampling Analysis of classification-based policy iteration algorithms

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:05:56.813199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0684f3f8-4b05-4416-99ce-935525687e8c · outbound

This paper cites Puterman and Moon Chirl Shin.

Solving Rubik's Cube Without Tricky Sampling Puterman and Moon Chirl Shin

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T10:05:56.782943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dd0f3abe-a5c9-4662-9a3f-f448882eef10 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Solving Rubik's Cube Without Tricky Sampling Proximal Policy Optimization Algorithms

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-12T10:05:56.427292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b4eecf7-d2a9-417d-a3a0-7cc2382601f6 · outbound

This paper cites Attention Is All You Need.

Solving Rubik's Cube Without Tricky Sampling Attention Is All You Need

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-12T10:05:56.438484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.