Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AdaPrompt: Adaptive Model Training for Prompt-based NLP
As of 19 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2202.04824.
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 2026-07-19T06:30:13.599613+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-18T08:26:41.953873Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-18T08:26:41.986061Z
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 68afa815-e159-444e-a9d1-547877852bb0 · inbound
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning cites this paper.
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning AdaPrompt: Adaptive Model Training for Prompt-based NLP
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T08:26:41.989073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-19T06:30:13.599613+00:00.