Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.06963.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T14:52:22.157098Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:30:44.796286Z
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 6456f4ca-bc64-4d26-adef-1b49796976e8 · 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 Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
Reference 65
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:30:44.799044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5bf2810b-dc83-4629-9f99-79ae354a89d4 · inbound
Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing cites this paper.
Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:52:22.157098Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.