Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2212.04231.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:27:33.325150Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:51:50.838500Z
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 410bf8d6-05ae-4855-a71c-45e752232589 · inbound
Generative Visual Commonsense Answering and Explaining with Generative Scene Graph Constructing cites this paper.
Generative Visual Commonsense Answering and Explaining with Generative Scene Graph Constructing Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:27:33.325150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cfe634d1-97ed-4d42-a49c-e3f291b3d187 · inbound
VIKSER: Visual Knowledge-Driven Self-Reinforcing Reasoning Framework cites this paper.
VIKSER: Visual Knowledge-Driven Self-Reinforcing Reasoning Framework Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:03:53.338237Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5978a572-316c-4181-9e77-edbe33f93f06 · inbound
Probing Vision-Language Understanding through the Visual Entailment Task: promises and pitfalls cites this paper.
Probing Vision-Language Understanding through the Visual Entailment Task: promises and pitfalls Harnessing the Power of Multi-Task Pretraining for Ground-Truth Level Natural Language Explanations
Reference 28
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T14:51:50.844270Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.