Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2407.01137.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:49:41.755945Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T17:05:51.140211Z
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 23cab697-4276-48d8-a0ce-bb3f7118bc1c · inbound
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification cites this paper.
TACLR: A Scalable and Efficient Retrieval-based Method for Industrial Product Attribute Value Identification An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:49:41.755945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 562d2a9e-50b5-4ff5-88ed-863da50607d5 · inbound
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T17:05:51.141792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 84599afa-eb19-4dff-9adc-1946f8d93d06 · inbound
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications An Empirical Comparison of Generative Approaches for Product Attribute-Value Identification
Reference 97
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T09:44:37.185369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.