Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.04269.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T15:29:36.791398Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:23:43.578087Z
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 1e708792-36e2-4e03-b433-b0277c212abb · inbound
Designing Human and Generative AI Collaboration cites this paper.
Designing Human and Generative AI Collaboration From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:29:36.791398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f17ed69e-fb52-4318-9c0a-64d4c68a1be9 · inbound
Multi-LLM Text Summarization cites this paper.
Multi-LLM Text Summarization From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:28:01.760872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2f91c3c5-a537-41c3-a653-86e22eebc81f · inbound
Comparing Learning Paradigms for Egocentric Video Summarization cites this paper.
Comparing Learning Paradigms for Egocentric Video Summarization From Sparse to Dense: GPT-4 Summarization with Chain of Density Prompting
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:23:43.644497Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.