Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2008.11293.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:19:08.464010Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T12:43:46.648369Z
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 af4e95a6-424d-48bd-a465-2d0792811ac6 · inbound
Development and Validation of the Provider Documentation Summarization Quality Instrument for Large Language Models cites this paper.
Development and Validation of the Provider Documentation Summarization Quality Instrument for Large Language Models Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:19:08.464010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87665eab-cb1c-4b1d-b5a8-46a8a4a23f8d · inbound
Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization cites this paper.
Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization
Reference 35
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-05T12:43:46.678982Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.