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Paper Citation Record · LEDGER

Data-Efficient Hierarchical Reinforcement Learning

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1805.08296.

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

pith.paper-citation-record.v1
1805.08296 v4

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 2026-08-06T06:34:29.942622+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:45:35.078101Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-25T19:06:09.107635Z

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 c664fead-3266-4194-bfb0-4b63166e5ac4 · inbound

Disentangled Skill Embeddings for Reinforcement Learning cites this paper.

Disentangled Skill Embeddings for Reinforcement Learning Data-Efficient Hierarchical Reinforcement Learning

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-05-25T19:06:09.110414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-25T19:02:04.824114Z digest=sha256:b02b24ac3bd39e26dd8b624328affbba80a791b3673a0433a44c39406a76274c

Observation 97af16e3-57f0-4e95-b45e-d1a0b03a4dcc · inbound

Abstraction for Offline Goal-Conditioned Reinforcement Learning cites this paper.

Abstraction for Offline Goal-Conditioned Reinforcement Learning Data-Efficient Hierarchical Reinforcement Learning

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-05-22T07:51:16.535293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-05-22T07:46:20.289421Z digest=sha256:70870846a7d45c16bfc51c1a8cfe0e3545a09adc8f3664b2b965febb591dc687

Observation 48388e92-3cd8-4e04-b2cd-7160f86b80ba · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Data-Efficient Hierarchical Reinforcement Learning

Reference 191

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:35.078101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:35.078101Z digest=sha256:9fbb5c2d2a04678f48a6941b188b9138c29c3960f3ba96561e66e772e2299a2c