Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2104.09061.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:10:33.001376Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:30:44.831477Z
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 b32d646a-b87a-4cec-90de-9aa30812901b · inbound
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.
Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Reference 77
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.833676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 09b5e219-207c-437a-930d-9ae5795656be · inbound
Improving Next Tokens via Second-to-Last Predictions with Generate and Refine cites this paper.
Improving Next Tokens via Second-to-Last Predictions with Generate and Refine Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:10:33.001376Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.