Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generation
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.10706.
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 2026-08-16T11:06:41.093790Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T20:39:41.518574Z
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 149b2cba-e586-4691-9202-cf30aebd7916 · inbound
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models cites this paper.
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generation
Reference 5
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T20:39:41.526689Z
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.
Observation 39992728-03c1-49a0-ae3f-2ca373001590 · inbound
FeedQUAC: Quick Unobtrusive AI-Generated Commentary cites this paper.
FeedQUAC: Quick Unobtrusive AI-Generated Commentary Harnessing the Power of LLMs: Evaluating Human-AI Text Co-Creation through the Lens of News Headline Generation
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:06:41.093790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.