Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1810.01257.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:32:07.414703Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-03T02:07:34.154221Z
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 d3043600-40b5-4318-bc7b-4fbaf87c57d0 · inbound
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning cites this paper.
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Reference 67
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T12:35:49.122041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 90065b4b-8239-4149-9b0b-9d022a425215 · inbound
Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning cites this paper.
Strict Subgoal Execution: Reliable Long-Horizon Planning in Hierarchical Reinforcement Learning Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T00:54:31.191823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 8bea5021-f2fb-4f02-b013-26b8ab47c227 · inbound
Learning to Assemble the Soma Cube with Legal-Action Masked DQN and Safe ZYZ Regrasp on a Doosan M0609 cites this paper.
Learning to Assemble the Soma Cube with Legal-Action Masked DQN and Safe ZYZ Regrasp on a Doosan M0609 Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:32:07.414703Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c2946719-8979-4fb7-b88f-b90275c49b94 · inbound
Abstraction for Offline Goal-Conditioned Reinforcement Learning cites this paper.
Abstraction for Offline Goal-Conditioned Reinforcement Learning Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-05-22T07:51:16.529792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 04423fca-ce66-4b38-b5a1-67a0d9cc076b · inbound
Goal Sets, Not Goal States: Queryable Robot Goals through Goal-Set Hindsight Relabeling cites this paper.
Goal Sets, Not Goal States: Queryable Robot Goals through Goal-Set Hindsight Relabeling Near-Optimal Representation Learning for Hierarchical Reinforcement Learning
Reference 26
- Resolution
- verified exact
- local_arxiv, observed 2026-07-03T02:07:34.155589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.