Pith. sign in

Paper Citation Record · LEDGER

Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots

As of 8 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 1 inbound Pith citation observation for arXiv:2606.19357.

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

pith.paper-citation-record.v1
2606.19357 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:58:53.239986Z

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T12:45:19.511401Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

5 of 5 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 67b4b40c-95a6-4ca4-b773-be90a98b79a3 · outbound

This paper cites an unresolved cited work.

Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-06-28T21:58:53.239986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T21:58:53.239986Z digest=sha256:00d31237deddac6ae2c060c41c8f407cd93c4edfc8643cd5fd9ac72ba1469609

Observation c153920e-50d5-481e-926e-2e3bd3aed54a · outbound

This paper cites Solving Rubik's Cube with a Robot Hand.

Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots Solving Rubik's Cube with a Robot Hand

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-07-01T19:56:10.327387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T21:58:53.239986Z digest=sha256:17097905d13acd23012c5c566bca7533679114c058a4fad3637b94e183677e02

Observation 99dcbf54-0454-493f-9215-fbb522c757b3 · outbound

This paper cites & Silver, D.

Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots & Silver, D

Reference 3

Resolution
unresolved
no resolver link, observed 2026-06-28T21:58:53.239986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T21:58:53.239986Z digest=sha256:15c9e4be64e513a7a114b33f9450ac1b6c3a5e8693304f61d698866cdd94bb83

Observation 79621fca-408d-49f6-8f10-67aa5a618826 · outbound

This paper cites A Deeper Look at Experience Replay.

Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots A Deeper Look at Experience Replay

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-07-01T19:56:10.328824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T21:58:53.239986Z digest=sha256:189ff5145c541458c4f891172ee7e76336fce767c185c4aeff3a5d5ebc6b6b06

Observation c6183240-27b3-4f1b-847a-ad332256f677 · outbound

This paper cites Finally, exploration is managed via anϵ-greedy strategy with a fixedϵof2 −6 (Exploration), and new actions are selected everyPolicy Skip(2) frames.

Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots Finally, exploration is managed via anϵ-greedy strategy with a fixedϵof2 −6 (Exploration), and new actions are selected everyPolicy Skip(2) frames

Reference 5

Resolution
unresolved
no resolver link, observed 2026-06-28T21:58:53.239986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T21:58:53.239986Z digest=sha256:e24193881cb8c5b0799b8dc5a4e0a50cca60bdcc763c8386510bda87e04bf45f

Pith citing papers

Observation 7a3e1acc-c392-4b3c-adb0-14a303a17d80 · inbound

Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems cites this paper.

Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems Physical Atari: A Robust and Accessible Platform for Real-time Reinforcement Learning on Robots

Reference 26

Resolution
unresolved
no resolver link, observed 2026-07-14T12:45:19.511401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T12:45:19.511401Z digest=sha256:52d79ee9a0e33a396ed99772e42942b21e8b7613e87bf94f76765412a64fd4f0