Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational AI systems
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2010.12251.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:43:08.091568Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T11:43:08.360114Z
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 88658172-3703-405b-b6eb-40f8631761a9 · inbound
Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI cites this paper.
Measuring, Modeling, and Helping People Account for Privacy Risks in Online Self-Disclosures with AI A scalable framework for learning from implicit user feedback to improve natural language understanding in large-scale conversational AI systems
Reference 62
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T11:43:08.364449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.