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Paper Citation Record · LEDGER

Recurrent Off-policy Baselines for Memory-based Continuous Control

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2110.12628.

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

pith.paper-citation-record.v1
2110.12628 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 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:52:13.984040Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T01:48:51.136385Z

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 d7419ac3-2b53-4f01-a6f7-f0be2b0c8c3c · inbound

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers cites this paper.

AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with Transformers Recurrent Off-policy Baselines for Memory-based Continuous Control

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-12T18:52:13.984040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:52:13.984040Z digest=sha256:bcc4fa42c50c48195265c9cc6f7762c0276892256e7900f4cdd1526d93e150cf

Observation 68139ad2-0ff2-46b6-827f-412081389f03 · inbound

Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism cites this paper.

Long-Horizon Model-Based Offline Reinforcement Learning Without Explicit Conservatism Recurrent Off-policy Baselines for Memory-based Continuous Control

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:48:51.138610Z

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.

source=pdf_text observed=2026-05-17T01:46:16.923948Z digest=sha256:c8d5e9005f741130f6a2a552d9c5d66f73f6400b6d85449a712715dfed63ab7d