Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-06-29T22:24:26.258621Z
Paper Citation Record · LEDGER
Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning
As of 21 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2605.25740.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
4 of 4 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 79c8ee20-236e-4919-a362-eb5da8c599a2 · outbound
This paper cites D4RL: Datasets for Deep Data-Driven Reinforcement Learning.
Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning D4RL: Datasets for Deep Data-Driven Reinforcement Learning
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T22:34:02.574506Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 523fe043-e578-44f1-96de-410a84d360bf · outbound
This paper cites Gaussian Error Linear Units (GELUs).
Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning Gaussian Error Linear Units (GELUs)
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-06-29T22:34:02.572261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b834d788-2b3c-4755-9f14-1fc4e4f59649 · outbound
This paper cites Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning.
Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T22:34:02.578067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 64b0739c-8e79-4915-adda-6b5652b67993 · outbound
This paper cites Zhang, L., Yang, G., and Stadie, B.
Latent Representation Alignment for Offline Goal-Conditioned Reinforcement Learning Zhang, L., Yang, G., and Stadie, B
Reference 4
- Resolution
- malformed identifier
- no resolver link, observed 2026-06-29T22:24:26.258621Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.