Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.08085.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T17:44:03.952204Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T17:44:04.293560Z
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 8a3a7f9b-6b45-48a4-980e-4be4a3c2a120 · inbound
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs cites this paper.
UniGraph2: Learning a Unified Embedding Space to Bind Multimodal Graphs Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T17:44:04.299337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 30a88078-6e8e-4172-bdf6-b5a0051cf52a · inbound
When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation cites this paper.
When Should LLMs Be Less Specific? Selective Abstraction for Reliable Long-Form Text Generation Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:03:23.943252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.