Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Survey on Compositional Learning of AI Models: Theoretical and Experimental Practices
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.08787.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T16:11:40.165910Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T10:39:38.154841Z
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 162efcdc-b45c-47b0-b303-aaa99c66b5f8 · inbound
Generalization in LLM Problem Solving: The Case of the Shortest Path cites this paper.
Generalization in LLM Problem Solving: The Case of the Shortest Path A Survey on Compositional Learning of AI Models: Theoretical and Experimental Practices
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T10:39:38.157634Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fafb6cb5-d33d-43bf-904c-db13eda4a6f6 · inbound
Compositional Semantic Communication for Physical AI: Category Theory Meets Game Theory cites this paper.
Compositional Semantic Communication for Physical AI: Category Theory Meets Game Theory A Survey on Compositional Learning of AI Models: Theoretical and Experimental Practices
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:11:40.165910Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.