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Paper Citation Record · LEDGER

Harnessing Discrete Representations For Continual Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.01203.

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

pith.paper-citation-record.v1
2312.01203 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 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:21:30.505976Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T18:03:18.129087Z

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 861684f0-4193-4815-a21d-a38de0bbda1a · inbound

Plasticity Loss in Deep Reinforcement Learning: A Survey cites this paper.

Plasticity Loss in Deep Reinforcement Learning: A Survey Harnessing Discrete Representations For Continual Reinforcement Learning

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:03:18.133047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T18:02:30.199552Z digest=sha256:c098d5d8e00083a3d5a52e3c1a37dba4119038d2439209b19bd9c9e34f014d80

Observation a91bb8fd-1208-4e09-bbe6-003023b3a0f2 · inbound

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning cites this paper.

Selftok: Discrete Visual Tokens of Autoregression, by Diffusion, and for Reasoning Harnessing Discrete Representations For Continual Reinforcement Learning

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T22:21:30.505976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:21:30.505976Z digest=sha256:2a45b0d7c4180e9bcc6252e12f0079ff22bb2b74fadaa35a1e8d2fe23eb55b0d