Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2005.00481.
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 2026-08-06T18:48:18.763238Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T23:18:40.044762Z
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 fad9dd6a-3524-44b8-b0bd-dadd20b1ea1b · inbound
MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning cites this paper.
MedReadCtrl: Personalizing medical text generation with readability-controlled instruction learning ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:48:18.763238Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e0b639b6-ebe0-45b9-9fd6-1a1fd51df232 · inbound
PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data cites this paper.
PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T23:18:40.046544Z
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.