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Paper Citation Record · LEDGER

Satisficing Exploration for Deep Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.12185.

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

pith.paper-citation-record.v1
2407.12185 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:22:14.363380Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T14:28:32.035093Z

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 87325d55-2695-4372-97e3-ef3df63b7e1f · inbound

Memory Allocation in Resource-Constrained Reinforcement Learning cites this paper.

Memory Allocation in Resource-Constrained Reinforcement Learning Satisficing Exploration for Deep Reinforcement Learning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T05:22:14.363380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:22:14.363380Z digest=sha256:4b497be0fb5e852563711e24848c0505cd16cc4da25be4f16425a1648ccd892a

Observation 2da597e3-e5a3-4c5d-8111-ce584d96d267 · inbound

Human-like autonomy emerges from self-play and a pinch of human data cites this paper.

Human-like autonomy emerges from self-play and a pinch of human data Satisficing Exploration for Deep Reinforcement Learning

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-03T14:28:32.036415Z

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=2026-06-27T07:01:12.737217Z digest=sha256:9a824a353a6a400c30427e609625eeb28b4aa592a289549c5f5e6e65b8e0f2b5