Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CTourLLM: Enhancing LLMs with Chinese Tourism Knowledge
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.12791.
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, observed 2026-08-15T21:44:43.449748Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T16:18:58.901160Z
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 b2b9843e-8820-40ec-8657-ef74303e4407 · inbound
A Data Synthesis Method Driven by Large Language Models for Proactive Mining of Implicit User Intentions in Tourism cites this paper.
A Data Synthesis Method Driven by Large Language Models for Proactive Mining of Implicit User Intentions in Tourism CTourLLM: Enhancing LLMs with Chinese Tourism Knowledge
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:44:43.449748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6f7cdbfc-8aa3-4924-9fae-35cc4117ccce · inbound
A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models cites this paper.
A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models CTourLLM: Enhancing LLMs with Chinese Tourism Knowledge
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:48:42.824482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a596fcab-944e-4744-a7c8-81db9032476a · inbound
Large Language Models in the Travel Domain: An Industrial Experience cites this paper.
Large Language Models in the Travel Domain: An Industrial Experience CTourLLM: Enhancing LLMs with Chinese Tourism Knowledge
Reference 27
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T16:18:59.122512Z
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.