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Paper Citation Record · LEDGER

RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.19548.

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

pith.paper-citation-record.v1
2405.19548 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:42:03.329662Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:06.802881Z

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 abccf5f8-e663-4010-96ac-0ada649605aa · inbound

Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning cites this paper.

Mixture of Autoencoder Experts Guidance using Unlabeled and Incomplete Data for Exploration in Reinforcement Learning RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:42:03.329662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:42:03.329662Z digest=sha256:08200bf7dbb66fd11fade2783c8d2c72012d3be8b0d1234005721872f6cd63bf

Observation fadd1b62-43d5-4422-b18e-e11d56cafc0f · inbound

Online Reward-Punishment Learning from Fixed-Channel Perceptual Event Streams without Environment Rewards cites this paper.

Online Reward-Punishment Learning from Fixed-Channel Perceptual Event Streams without Environment Rewards RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:59:06.805552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T21:35:56.749428Z digest=sha256:079fa50c383244b4af10162fdefa5fb75b23ab9df2cf2a3043379b13f40d325e

Observation 08276c68-31e2-4c9c-8b9d-b8049b0d8df7 · inbound

Information-Based Exploration via Random Features for Reinforcement Learning cites this paper.

Information-Based Exploration via Random Features for Reinforcement Learning RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T16:35:02.627631Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:35:02.627631Z digest=sha256:b994a59bea321eaac5fd02ce80cb0b18abfa17a3774552e2e6a6fc68fa93a72e