Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.17032.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T21:40:43.616901Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T21:05:15.631327Z
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 fbbda0b0-6bd5-402e-89e4-ceaee4726a02 · inbound
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T21:05:15.633880Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7685a0ec-5f6b-43ef-a5cb-25a9ccb4589a · inbound
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.
Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning M2CURL: Sample-Efficient Multimodal Reinforcement Learning via Self-Supervised Representation Learning for Robotic Manipulation
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T21:40:43.616901Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.