Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TLDR: Extreme Summarization of Scientific Documents
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2004.15011.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T10:55:14.603729Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T05:53:22.113116Z
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 02ab1288-1d5c-43c5-baac-0171c3e08253 · inbound
Galactica: A Large Language Model for Science cites this paper.
Galactica: A Large Language Model for Science TLDR: Extreme Summarization of Scientific Documents
Reference 152
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T05:53:22.114663Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 86255556-7abd-4f6b-b82c-cec6e4a7fe6d · inbound
How Far Are AI Scientists from Changing the World? cites this paper.
How Far Are AI Scientists from Changing the World? TLDR: Extreme Summarization of Scientific Documents
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T10:55:14.603729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fb3a241-d020-4db8-b881-4cea34c7155d · 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 TLDR: Extreme Summarization of Scientific Documents
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T12:43:42.165331Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.