Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.18454.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T18:01:39.072342Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T18:04:57.842026Z
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 85443085-df75-4cfb-8eca-f075ad8d19d0 · inbound
A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.
A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications
Reference 215
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:46:37.041473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation fbe15deb-4119-4334-9282-8f4e73995f04 · inbound
Prompt Programming for Cultural Bias and Alignment of Large Language Models cites this paper.
Prompt Programming for Cultural Bias and Alignment of Large Language Models Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T18:01:39.072342Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b092300e-82a8-4d96-942c-3a540ddd410d · inbound
Occupational Prompting Reveals Cultural Bias in Large Language Models cites this paper.
Occupational Prompting Reveals Cultural Bias in Large Language Models Leveraging Long-Context Large Language Models for Multi-Document Understanding and Summarization in Enterprise Applications
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T18:04:57.843656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.