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Paper Citation Record · LEDGER

Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2204.10374.

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

pith.paper-citation-record.v1
2204.10374 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T12:27:14.698765Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:03:25.681499Z

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 4d3f0895-871a-4fdf-b5bc-65912eb48c3f · inbound

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference cites this paper.

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-11T12:27:14.698765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:27:14.698765Z digest=sha256:9d8a1ae0c680696dfe7cceb10f8f4fee980ab5ec08ffb9f4aa047902ceb67a4a

Observation f4cf89bb-5d02-4d81-bc92-3a8a92c6d5f6 · inbound

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals cites this paper.

Hierarchical Reinforcement Learning Framework for Adaptive Walking Control Using General Value Functions of Lower-Limb Sensor Signals Learning how to Interact with a Complex Interface using Hierarchical Reinforcement Learning

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:03:25.721528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:03:24.517874Z digest=sha256:848747d54b33241b365af016d2e08f3d44aa8937df71698b5e42dc0ade144834