Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.19233.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:48:05.437752Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T19:56:33.710650Z
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 f4f926ed-f5fc-4e51-9405-8dcb1180f9df · inbound
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation cites this paper.
ReqBrain: Task-Specific Instruction Tuning of LLMs for AI-Assisted Requirements Generation Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:48:05.437752Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f5f5d32a-93b0-4169-9f41-867b0fe6c5c1 · inbound
LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review cites this paper.
LLM-Based Multi-Agent Systems for Code Generation: A Multi-Vocal Literature Review Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T19:56:33.713552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.