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Paper Citation Record · LEDGER

Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.12974.

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

pith.paper-citation-record.v1
2004.12974 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:01.147793Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T17:57:08.994560Z

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 6d5e4303-c42a-480d-aba1-72ce395d9682 · inbound

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment cites this paper.

Dynamic Contrastive Skill Learning with State-Transition Based Skill Clustering and Dynamic Length Adjustment Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T11:46:01.147793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:46:01.147793Z digest=sha256:f2efbcddfc7875f660eadc7af7a94e13904e227b9bc12bed614b0083a62bad44

Observation 0d5d65fb-4b6d-4953-9247-6259b88b18e9 · inbound

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective cites this paper.

GenAI-based Multi-Agent Reinforcement Learning towards Distributed Agent Intelligence: A Generative-RL Agent Perspective Emergent Real-World Robotic Skills via Unsupervised Off-Policy Reinforcement Learning

Reference 136

Resolution
verified exact
local_arxiv, observed 2026-08-06T17:57:08.998788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-06T17:57:08.632962Z digest=sha256:a8b2bf263b8395793f6b54ae2fb061edbf738e777b1953ee8f06a92c6d38e065