Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.13196.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:31:29.666567Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:24:12.736404Z
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 e0b15f78-cb1a-445f-a470-b79dcdc008bc · inbound
Effective and Efficient Representation Learning for Flight Trajectories cites this paper.
Effective and Efficient Representation Learning for Flight Trajectories Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:32:08.249818Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c68fcb56-ff75-4b3d-a39b-95f925e866a5 · inbound
TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis cites this paper.
TrajSceneLLM: A Multimodal Perspective on Semantic GPS Trajectory Analysis Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:31:29.666567Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d75d16f-6f50-42fa-b9f1-5e0ae6b87df1 · inbound
HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation cites this paper.
HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation Context-Enhanced Multi-View Trajectory Representation Learning: Bridging the Gap through Self-Supervised Models
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T00:24:12.744427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.