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Paper Citation Record · LEDGER

Prediction and Control in Continual Reinforcement Learning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.11669.

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

pith.paper-citation-record.v1
2312.11669 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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-15T05:19:05.368681Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T05:19:45.480293Z

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 0775c7e4-c420-42d7-8620-b8121b3792d1 · inbound

Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.

Learning, Fast and Slow: Towards LLMs That Adapt Continually Prediction and Control in Continual Reinforcement Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:07:18.420571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-13T05:00:31.452781Z digest=sha256:e99fa00a45a0bd7034caf134e610b85342a2d403276b0c7e479c20183e84e878

Observation b98e8927-c860-4cad-ba81-98f99b9e4443 · inbound

Learning, Fast and Slow: Towards LLMs That Adapt Continually cites this paper.

Learning, Fast and Slow: Towards LLMs That Adapt Continually Prediction and Control in Continual Reinforcement Learning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:19:45.484233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-15T05:19:05.368681Z digest=sha256:4eaa1b5e5ebba1033979b7b12bbb2d6056d110c67294030c8b2b37af40806ed8