Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the Feasibility of Vision-Language Models for Time-Series Classification
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.17304.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:27:13.240884Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T08:19:44.567322Z
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 736fbb35-b5f2-4d88-a36b-bc4629bde43d · inbound
Harnessing Vision Models for Time Series Analysis: A Survey cites this paper.
Harnessing Vision Models for Time Series Analysis: A Survey On the Feasibility of Vision-Language Models for Time-Series Classification
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T23:27:13.240884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5579fb6-6570-4421-a564-04e0c6890003 · inbound
From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? cites this paper.
From Images to Signals: Are Large Vision Models Useful for Time Series Analysis? On the Feasibility of Vision-Language Models for Time-Series Classification
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:44:12.829018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 90585a1a-b9cd-49b8-a677-c160240b6224 · inbound
From Recognition to Understanding: Unlocking Cognitive Time Series Reasoning with LLMs cites this paper.
From Recognition to Understanding: Unlocking Cognitive Time Series Reasoning with LLMs On the Feasibility of Vision-Language Models for Time-Series Classification
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T08:19:44.568817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.