Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing Job Recommendation through LLM-based Generative Adversarial Networks
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2307.10747.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:17:33.517008Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T15:03:57.630342Z
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 9a62ba69-46a7-4ffd-af5f-c3496165d93f · inbound
Can Large Language Models Understand Preferences in Personalized Recommendation? cites this paper.
Can Large Language Models Understand Preferences in Personalized Recommendation? Enhancing Job Recommendation through LLM-based Generative Adversarial Networks
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T16:17:33.517008Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5e8cbbc-8ee0-4da0-892b-e47f84c139c2 · inbound
Large Language Model driven Policy Exploration for Recommender Systems cites this paper.
Large Language Model driven Policy Exploration for Recommender Systems Enhancing Job Recommendation through LLM-based Generative Adversarial Networks
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:39:56.389467Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 018ffcce-4797-4ab2-824b-9a9a864d7379 · inbound
LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models cites this paper.
LLM4MEA: Data-free Model Extraction Attacks on Sequential Recommenders via Large Language Models Enhancing Job Recommendation through LLM-based Generative Adversarial Networks
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T15:03:57.632555Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.