Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A survey on fairness of large language models in e-commerce: progress, application, and challenge
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.13025.
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 2026-08-07T14:46:05.433687Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:34:07.210885Z
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 adccfa2b-d470-474c-aca1-86ad6c3e8a3a · inbound
EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection cites this paper.
EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection A survey on fairness of large language models in e-commerce: progress, application, and challenge
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:46:05.433687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0917a2ee-3404-4c2a-9c9f-1f443ade1681 · inbound
MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents cites this paper.
MindFlow: Revolutionizing E-commerce Customer Support with Multimodal LLM Agents A survey on fairness of large language models in e-commerce: progress, application, and challenge
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:34:07.274471Z
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.