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Paper Citation Record · LEDGER

Knowledge-Guided Exploration in Deep Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2210.15670.

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

pith.paper-citation-record.v1
2210.15670 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:46:08.930457Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

2
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 73bd4441-c571-47e8-9a38-f8e54ff6fc1e · inbound

On the Parallels Between Evolutionary Theory and the State of AI cites this paper.

On the Parallels Between Evolutionary Theory and the State of AI Knowledge-Guided Exploration in Deep Reinforcement Learning

Reference 121

Resolution
unresolved
no resolver link, observed 2026-08-15T21:46:08.930457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:46:08.930457Z digest=sha256:4c480928304bbec92d588565cbcd488c58cfb3004baa7fe1c1f524af6ade0cde

Observation 75ab406a-924d-4683-8948-844e28510971 · inbound

Evolution, Future of AI, and Singularity cites this paper.

Evolution, Future of AI, and Singularity Knowledge-Guided Exploration in Deep Reinforcement Learning

Reference 222

Resolution
unresolved
no resolver link, observed 2026-08-15T19:49:21.392363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:49:21.392363Z digest=sha256:d7571e2bc0c4a949f519c5bba8adee22cf5e4a095e60b93324c98fe5c262ed03

Observation 451b72cd-fa6b-44b9-ae31-3533644bcdc9 · inbound

Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes cites this paper.

Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes Knowledge-Guided Exploration in Deep Reinforcement Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T06:16:22.879192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T06:16:22.879192Z digest=sha256:730b6e6d0aa354dc152e864ea450265f29f778322f098c0fda6e03d4058a1923

Observation 7d4e75d7-d900-4e54-80db-dd11873a4df3 · inbound

Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes cites this paper.

Knowledge- and Gradient-Guided Reinforcement Learning for Parametrized Action Markov Decision Processes Knowledge-Guided Exploration in Deep Reinforcement Learning

Reference 71

Resolution
metadata mismatch
local_arxiv, observed 2026-08-02T06:18:26.576456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-02T06:16:28.549326Z digest=sha256:889260701fd10a8b31c62efe1841cdefbef2d5991ef39352c3945d30145d8b74