Paper Citation Record · LEDGER

Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2506.14045.

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

pith.paper-citation-record.v1
2506.14045 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:54:45.747996Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:29:55.591686Z

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 f1178d1c-a48b-4f44-be93-20c816bbcc16 · inbound

A Study of Value-Aware Eigenoptions cites this paper.

A Study of Value-Aware Eigenoptions Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T18:09:03.177996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b765b0f5-94a6-4d2f-86e5-a47626902bcc · inbound

Hierarchical Behaviour Spaces cites this paper.

Hierarchical Behaviour Spaces Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T22:01:12.836282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation b700784b-9740-432e-aac8-66bac8292e97 · inbound

Switching Successor Measures for Hierarchical Zero-shot Reinforcement Learning cites this paper.

Switching Successor Measures for Hierarchical Zero-shot Reinforcement Learning Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:42:58.594691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 147e6cef-b883-4081-ae84-422b6bb24fed · inbound

Goal-Conditioned Agents that Learn Everything All at Once cites this paper.

Goal-Conditioned Agents that Learn Everything All at Once Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:00:21.500920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 89f34e68-a459-43bd-b154-3fe8c26c9d86 · inbound

Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication cites this paper.

Event-Driven Reinforcement Learning Enables Long-Horizon Control in Semiconductor Fabrication Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:07:36.640145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 9ec1d9dd-9467-489b-acbf-a6365c6dda83 · inbound

Darwin Mobile Agent: A Roadmap for Self-Evolution cites this paper.

Darwin Mobile Agent: A Roadmap for Self-Evolution Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:53:41.347154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0c356e5a-15f1-45b8-8ce2-d1cb3e97768e · inbound

Mesh-RL: Coupled subgrid reinforcement learning cites this paper.

Mesh-RL: Coupled subgrid reinforcement learning Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-04T15:29:55.593473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 04b876a1-4f95-45e0-b384-cf8a860fab91 · inbound

Hierarchical Constrained Reinforcement Learning with Dynamic Boundary for Spatio-Temporal Vehicle-to-Grid Scheduling cites this paper.

Hierarchical Constrained Reinforcement Learning with Dynamic Boundary for Spatio-Temporal Vehicle-to-Grid Scheduling Discovering Temporal Structure: An Overview of Hierarchical Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T14:54:45.747996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.