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Paper Citation Record · LEDGER

Decoupling Representation Learning from Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2009.08319.

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

pith.paper-citation-record.v1
2009.08319 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:34:42.524515Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:47:20.851615Z

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 70e513b4-07fb-449b-aa89-2401de625026 · inbound

A Survey of State Representation Learning for Deep Reinforcement Learning cites this paper.

A Survey of State Representation Learning for Deep Reinforcement Learning Decoupling Representation Learning from Reinforcement Learning

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-06T23:34:42.524515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:34:42.524515Z digest=sha256:c75b86cec7f6a293b4592610a4fdd79c87c23b56aa40f8f3574a3da34723c4e5

Observation f2cf4044-61c7-444f-902d-c6a24dd9a4ac · inbound

TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents cites this paper.

TD-MPC-Opt: Distilling Model-Based Multi-Task Reinforcement Learning Agents Decoupling Representation Learning from Reinforcement Learning

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-06T20:47:20.863019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:47:20.679513Z digest=sha256:971f15f9dcb79121fbce43d0daca0d826064088e3bcd7b583ea474c9893c35eb