Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2502.04674.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:05.141282Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T07:37:29.462770Z
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 46cac9df-8d76-4dcd-92a0-d4b74f1666ad · inbound
AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset cites this paper.
AdParaphrase v2.0: Generating Attractive Ad Texts Using a Preference-Annotated Paraphrase Dataset AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:52:05.141282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c95088e6-30e7-45c8-9682-977611d9fc5e · inbound
Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models cites this paper.
Design Your Ad: Personalized Advertising Image and Text Generation with Unified Autoregressive Models AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:37:29.466331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.