Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2409.18664.
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 2026-08-06T23:25:09.867422Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T23:25:10.774825Z
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 bc8777c5-1160-49ab-a97c-3ec2034f605d · inbound
Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs cites this paper.
Energy- and Memory-Efficient PEFT Methods for Personalized On-Device SLMs on Consumer GPUs How green is continual learning, really? Analyzing the energy consumption in continual training of vision foundation models
Reference 19
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T23:25:10.778139Z
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.