Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.09369.
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 2026-08-07T05:41:12.765877Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-14T01:11:09.200676Z
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 3ef841b4-76f6-4fc8-be7c-06aab75f4095 · inbound
LLMs Get Lost In Multi-Turn Conversation cites this paper.
LLMs Get Lost In Multi-Turn Conversation Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T01:11:09.204725Z
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.
Observation abb77f0e-cc6a-456d-9045-ad19dcc15887 · inbound
Improving Fairness of Large Language Models in Multi-document Summarization cites this paper.
Improving Fairness of Large Language Models in Multi-document Summarization Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:41:12.765877Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5d1dae0d-2b66-425b-af6f-95981f3e74e8 · inbound
PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs cites this paper.
PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
Reference 39
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T15:51:42.586965Z
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.