Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.19564.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:46:48.629399Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T19:45:00.334443Z
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 31c64ceb-fa75-4e74-ae07-3a30913577f0 · inbound
Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving cites this paper.
Reinforced Refinement with Self-Aware Expansion for End-to-End Autonomous Driving Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Reference 67
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:46:48.629399Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6da4c5ed-853c-4c30-bc59-8bdd7080be08 · inbound
Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning cites this paper.
Interaction-Merged Motion Planning: Effectively Leveraging Diverse Motion Datasets for Robust Planning Forecast-PEFT: Parameter-Efficient Fine-Tuning for Pre-trained Motion Forecasting Models
Reference 64
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T19:45:00.402349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.