Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring Large Language Models for Product Attribute Value Identification
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.12695.
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 2026-08-10T21:49:41.750474Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T16:49:58.494960Z
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 e7830075-6aa3-4862-adcc-b6fc2e698140 · 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 Exploring Large Language Models for Product Attribute Value Identification
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:49:41.750474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 21b887e9-b29a-47cf-bfe3-b60595093a5a · inbound
AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach cites this paper.
AI-PAVE-Br: Leveraging Large Language Models for Enhanced Product Attribute Value Extraction through a Golden Set Approach Exploring Large Language Models for Product Attribute Value Identification
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T16:49:58.496591Z
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.